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Burshtynska, K., Kokhan, S., Pfeifer, N., Halochkin, M., & Zayats, I. (2023). Hydrological Modeling for Determining Flooded Land from Unmanned Aerial Vehicle Images—Case Study at the Dniester River. Remote Sensing, 15(4), Article 1071. https://doi.org/10.3390/rs15041071, opens an external URL in a new window

Nickola, M., Krasna, H., de Witt, A., Combrinck, L., & Böhm, J. (2023). Hartebeesthoek Radio Astronomy Observatory (HartRAO) antenna axis offset determined by geodetic VLBI analysis and ground survey. South African Journal of Geomatics, 12(1), 98–111. https://doi.org/10.4314/sajg.v12i1.7, opens an external URL in a new window

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Wu, K., Ryu, D., Wagner, W., & Hu, Z. (2023). A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques. Remote Sensing of Environment, 285, Article 113387. https://doi.org/10.34726/3241, opens an external URL in a new window

Mazurkiewicz, B., Kattenbeck, M., & Giannopoulos, I. (2023). Free Choice Navigation in the Real World: Giving Back Freedom to Wayfinders. ISPRS International Journal of Geo-Information, 12(2), Article 27. https://doi.org/10.3390/ijgi12020027, opens an external URL in a new window

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Adavi, Z., Ghassemi, B., Weber, R., & Hanna, N. (2023). Machine learning-based estimation of hourly GNSS precipitable water vapour. Remote Sensing, 15(18), Article 4551. https://doi.org/10.3390/rs15184551, opens an external URL in a new window

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Fleischer, F., Haas, F., Altmann, M., Rom, J., Ressl, C., & Becht, M. (2023). Glaciogenic Periglacial Landform in the Making—Geomorphological Evolution of a Rockfall on a Small Glacier in the Horlachtal, Stubai Alps, Austria. Remote Sensing, 15(6), Article 1472. https://doi.org/10.3390/rs15061472, opens an external URL in a new window

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Schäfer, J., Winiwarter, L., Weiser, H., Novotný, J., Höfle, B., Schmidtlein, S., Henniger, H., Krok, G., Stereńczak, K., & Fassnacht, F. E. (2023). Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models. Forestry, Article cpad061. https://doi.org/10.34726/5372, opens an external URL in a new window

Weston, S., de Witt, A., Krásná, H., Le Bail, K., Hardin, S., Gordon, D., Shu, F., Fey, A., Schartner, M., Basu, S., Titov, O., Behrend, D., Jacobs, C., Hankey, W., Salguero, F., & Reynolds, J. E. (2023). On more than two decades of Celestial Reference Frame VLBI observations in the deep south: IVS-CRDS (1995–2021). Publications of the Astronomical Society of Australia, 40, Article e041. https://doi.org/10.1017/pasa.2023.33, opens an external URL in a new window

Winiwarter, L. G., Anders, K., Czerwonka-Schröder, D., & Höfle, B. (2023). Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering. Earth Surface Dynamics, 11(4), 593–613. https://doi.org/10.5194/esurf-11-593-2023, opens an external URL in a new window

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Zaloznik, S., & Navratil, G. (2023). Cadastral surveys using terrestrial laser scanning - accuracy and economy. GEODETSKI VESTNIK, 67(04), 473–486. https://doi.org/10.15292/geodetski-vestnik.2023.04.473-486, opens an external URL in a new window

Breaban, A.-I., Oniga, V.-E., Chirila, C., Loghin, A.-M., Pfeifer, N., Macovei, M., & Nicuta Precul, A.-M. (2022). Proposed Methodology for Accuracy Improvement of LOD1 3D Building Models Created Based on Stereo Pléiades Satellite Imagery. Remote Sensing, 14(24), Article 6293. https://doi.org/10.3390/rs14246293, opens an external URL in a new window

Böhm, S., Böhm, J., Gruber, J. F., Kern, L. M., McCallum, J., McCallum, L., McCarthy, T., Quick, J., & Schartner, M. (2022). Probing a southern hemisphere VLBI Intensive baseline configuration for UT1 determination. Earth, Planets and Space, 74(1), Article 118. https://doi.org/10.1186/s40623-022-01671-w, opens an external URL in a new window

Flores Orozco, A., Steiner, M., Katona, T., Roser, N. S., Moser, C., Stumvoll, M. J., & Glade, T. (2022). Application of induced polarization imaging across different scales to understand surface and groundwater flow at the Hofermuehle landslide. CATENA, 219. https://doi.org/10.1016/j.catena.2022.106612, opens an external URL in a new window

Mikolka-Flöry, S., Ressl, C., Schimpl, L., & Pfeifer, N. (2022). Automatic orientation of historical terrestrial images in mountainous terrain using the visible horizon. ISPRS Open Journal of Photogrammetry and Remote Sensing, 6, Article 100026. https://doi.org/10.1016/j.ophoto.2022.100026, opens an external URL in a new window

Retscher, G., & Weigert, T. (2022). Assessment of a dual-frequency multi-GNSS smartphone for surveying applications. Applied Geomatics, 14, 765–784. https://doi.org/10.1007/s12518-022-00467-7, opens an external URL in a new window

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Moesinger, L., Zotta, R.-M., van der Schalie, R., Scanlon, T., de Jeu, R., & Dorigo, W. (2022). Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI). Biogeosciences, 19(21), 5107–5123. https://doi.org/10.5194/bg-19-5107-2022, opens an external URL in a new window

Duethmann, D., Smith, A., Soulsby, C., Kleine, L., Wagner, W., Hahn, S., & Tetzlaff, D. (2022). Evaluating satellite-derived soil moisture data for improving the internal consistency of process-based ecohydrological modelling. Journal of Hydrology, 614(Part A), Article 128462. https://doi.org/10.34726/2962, opens an external URL in a new window

Filippucci, P., Brocca, L., Bonafoni, S., Saltalippi, C., Wagner, W., & Tarpanelli, A. (2022). Sentinel-2 high-resolution data for river discharge monitoring. Remote Sensing of Environment, 281, Article 113255. https://doi.org/10.34726/2681, opens an external URL in a new window

Mandlburger, G. (2022). A Review of Active and Passive Optical Methods in Hydrography. The International Hydrographic Review, 28, 8–52. https://doi.org/10.58440/ihr-28-a15, opens an external URL in a new window

Gruber, A., & Reichle, R. H. (2022). Uncertainty Estimation for SMAP Level-1 Brightness Temperature Assimilation at Different Timescales. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 9127–9145. https://doi.org/10.1109/JSTARS.2022.3216213, opens an external URL in a new window

Hohensinn, R., Stauffer, R., Glaner, M. F., Herrera Pinzón, I. D., Vuadens, E., Rossi, Y., Clinton, J., & Rothacher, M. (2022). Low-Cost GNSS and Real-Time PPP: Assessing the Precision of the u-blox ZED-F9P for Kinematic Monitoring Applications. Remote Sensing, 14(20), 5100. https://doi.org/10.3390/rs14205100, opens an external URL in a new window

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Navacchi, C., Cao, S., Bauer-Marschallinger, B., Snoeij, P., Small, D., & Wagner, W. (2022). Utilising Sentinel-1’s orbital stability for efficient pre-processing of sigma nought backscatter. ISPRS Journal of Photogrammetry and Remote Sensing, 192, 130–141. https://doi.org/10.1016/j.isprsjprs.2022.07.023, opens an external URL in a new window

Sadeghian, H., Naghavi, H., Maleknia, R., Soosani, J., & Pfeifer, N. (2022). Estimating the attributes of urban trees using terrestrial photogrammetry. Environmental Monitoring and Assessment, 194(9), Article 625. https://doi.org/10.34726/2521, opens an external URL in a new window

McCallum, L., Chin Chuan, L., Krásná, H., McCallum, J., Böhm, J., McCarthy, T., Gruber, J. F., Schartner, M., Quick, J., & Rogers, A. (2022). The Australian mixed-mode observing program. Journal of Geodesy, 96, 67. https://doi.org/10.1007/s00190-022-01657-2, opens an external URL in a new window

Modanesi, S., Massari, C., Bechtold, M., Lievens, H., Tarpanelli, A., Brocca, L., Zappa, L., & De Lannoy, G. (2022). Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP. Hydrology and Earth System Sciences, 26(18), 4685–4706. https://doi.org/10.5194/hess-26-4685-2022, opens an external URL in a new window

Morrison, K., & Wagner, W. (2022). Soil Moisture and Soil Depth Retrieval Using the Coupled Phase-Amplitude Behavior of C-Band Radar Backscatter in the Presence of Sub-Surface Scattering. Canadian Journal of Remote Sensing, 48(6), 779–792. https://doi.org/10.1080/07038992.2022.2120858, opens an external URL in a new window

Shan, X., Steele-Dunne, S., Huber, M., Hahn, S., Wagner, W., Bonan, B., Albergel, C., Calvet, J.-C., Ku, O., & Georgievska, S. (2022). Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network. Remote Sensing of Environment, 279, Article 113116. https://doi.org/10.1016/j.rse.2022.113116, opens an external URL in a new window

Gallistl, J., Schwindt, D., Jochum, B., Aigner, L., Peresson, M., & Flores Orozco, A. (2022). Quantification of soil textural and hydraulic properties in a complex conductivity imaging framework: Results from the Wolfsegg slope. Frontiers in Earth Science, 10, Article 911611. https://doi.org/10.3389/feart.2022.911611, opens an external URL in a new window

Kuban, M., Parajka, J., Tong, R., Greimeister-Pfeil, I., Vreugdenhil, M., Szolgay, J., Kohnova, S., Hlavcova, K., Sleziak, P., & Brziak, A. (2022). The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model. JOURNAL OF HYDROLOGY AND HYDROMECHANICS, 70(3), 295–307. https://doi.org/10.2478/johh-2022-0021, opens an external URL in a new window

Zappa, L., Schlaffer, S., Brocca, L., Vreugdenhil, M., Nendel, C., & Dorigo, W. (2022). How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? International Journal of Applied Earth Observation and Geoinformation, 113, Article 102979. https://doi.org/10.1016/j.jag.2022.102979, opens an external URL in a new window

Soukup, D., Kapeller, C., Raml, B., & Ruisz, J. (2022). Industry-Fit AI Usage for Crack Detection in Ground Steel. Electronics, 11(17), Article 2643. https://doi.org/10.3390/electronics11172643, opens an external URL in a new window

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Ghorbani, F., Ebadi, H., Pfeifer, N., & Sedaghat, A. (2022). Uniform and Competency-Based 3D Keypoint Detection for Coarse Registration of Point Clouds with Homogeneous Structure. Remote Sensing, 14(16), Article 4099. https://doi.org/10.3390/rs14164099, opens an external URL in a new window

Harris, B., Taylor, C. M., Weedon, G., Talib, J., Dorigo, W., & Van Der Schalie, R. (2022). Satellite‐Observed Vegetation Responses to Intraseasonal Precipitation Variability. Geophysical Research Letters, 49(15). https://doi.org/10.1029/2022GL099635, opens an external URL in a new window

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Bauer-Marschallinger, B., Cao, S., Tupas, M. E., Roth, F., Navacchi, C., Melzer, T., Freeman, V., & Wagner, W. (2022). Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube. Remote Sensing, 14(15), Article 3673. https://doi.org/10.3390/rs14153673, opens an external URL in a new window

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Greimeister-Pfeil, I., Wagner, W., Quast, R., Hahn, S., Steele-Dunne, S., & Vreugdenhil, M. (2022). Analysis of short-term soil moisture effects on the ASCAT backscatter-incidence angle dependence. Science of Remote Sensing, 5, Article 100053. https://doi.org/10.1016/j.srs.2022.100053, opens an external URL in a new window

Tong, R., Parajka, J., Széles, B., Greimeister-Pfeil, I., Vreugdenhil, M., Komma, J., Valent, P., & Blöschl, G. (2022). The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites. Hydrology and Earth System Sciences, 26(7), 1779–1799. https://doi.org/10.5194/hess-26-1779-2022, opens an external URL in a new window

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Bartošová, L., Fischer, M., Balek, J., Bláhová, M., Kudláčková, L., Chuchma, F., Hlavinka, P., Mozný, M., Zahradníček, P., Wall, N., Hayes, M. A., Hain, C., Anderson, M., Wagner, W., Zalud, Z., & Trnka, M. (2022). Validity and reliability of drought reporters in estimating soil water content and drought impacts in central Europe. Agricultural and Forest Meteorology, 315, Article 108808. https://doi.org/10.1016/j.agrformet.2022.108808, opens an external URL in a new window

Retscher, G., Gabela Majic, J., & Gikas, V. (2022). PBeL—A Novel Problem-Based (e-)Learning for Geomatics Students. Geomatics, 2(1), 76–106. https://doi.org/10.3390/geomatics2010006, opens an external URL in a new window

Adavi, Z., Weber, R., & Glaner, M. F. (2022). Assessment of regularization techniques in GNSS tropospheric tomography based on single- and dual-frequency observations. GPS Solutions, 26(1), Article 21. https://doi.org/10.1007/s10291-021-01202-2, opens an external URL in a new window

Arav, R., Filin, S., & Pfeifer, N. (2022). Content-Aware Point Cloud Simplification of Natural Scenes. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 5704712. https://doi.org/10.1109/TGRS.2022.3208348, opens an external URL in a new window

Azadi, S., Yazdanpanah, H., Nasr-Esfahani, M. A., Pourmanafi, S., & Dorigo, W. (2022). The Gavkhouni Wetland Dryness and Its Impact on Air Temperature Variability in the Eastern Part of the Zayandeh-Rud River Basin, Iran. Water, 14(2), 172. https://doi.org/10.3390/w14020172, opens an external URL in a new window

Ciampi, P., Esposito, C., Cassiani, G., Deidda, G. P., Flores-Orozco, A., Rizzetto, P., Chiappa, A., Bernabei, M., Gardon, A., & Petrangeli Papini, M. (2022). Contamination presence and dynamics at a polluted site; Spatial analysis of integrated data and joint conceptual modeling approach. Journal of Contaminant Hydrology, 248(104026), 104026. https://doi.org/10.1016/j.jconhyd.2022.104026, opens an external URL in a new window

Colliander, A., Reichle, R., Crow, W., Cosh, M., Chen, F., Chan, S., Das, N. N., Bindlish, R., Chaubell, J., Kim, S., Liu, Q., O´Neill, P., Dunbar, R. S., Dang, L. B., Kimball, J. S., Jackson, T., Al-Jassar, H., Asanuma, J., Bhattacharya, B., … Yueh, S. (2022). Validation of Soil Moisture Data Products From the NASA SMAP Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 364–392. https://doi.org/10.1109/JSTARS.2021.3124743, opens an external URL in a new window

Dorigo, W. A., Zotta, R.-M., van der Schalie, R., Preimesberger, W., Mösinger, L., & De Jeu, R. (2022). Vegetation Optical Depth. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 103(8), 108–109.

Dostalova, A., Navacchi, C., Greimeister-Pfeil, I., Small, D., & Wagner, W. (2022). The effects of radiometric terrain flattening on SAR-based forest mapping and classification. Remote Sensing Letters, 13(9), 855–864. https://doi.org/10.1080/2150704X.2022.2092911, opens an external URL in a new window

Filippucci, P., Brocca, L., Quast, R., Ciabatta, L., Saltalippi, C., Wagner, W., & Tarpanelli, A. (2022). High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study. Hydrology and Earth System Sciences, 26(9), 2481–2497. https://doi.org/10.5194/hess-26-2481-2022, opens an external URL in a new window

Gartner, G. (2022). Towards a Research Agenda for Increasing Trust in Maps and Their Trustworthiness. Kartografija i Geoinformacije = Cartography and Geoinformation, 21, 48–58. https://doi.org/10.32909/kg.21.si.4, opens an external URL in a new window

Gartner, G. (2022). Underpinning Aspects of Developing a Cartographic Curriculum. Journal of Geodesy and Geoinformation Science, 5(3), 41–50.

Ghorbani, F., Ebadi, H., Sedaghat, A., & Pfeifer, N. (2022). A Novel 3-D Local DAISY-Style Descriptor to Reduce the Effect of Point Displacement Error in Point Cloud Registration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2254–2273. https://doi.org/10.1109/jstars.2022.3151699, opens an external URL in a new window

Grömer, M., & Artmann, M. (2022). Digitally assisted underwater inspections for hydropower. The International Journal on Hydropower & Dams, 29(5), 48–51.

Hancock, S. C., Essl, F., Kraak, M., Dawson, W., Kreft, H., Pyšek, P., Pergl, J., van Kleunen, M., Weigelt, P., Winter, M., Gartner, G., & Lenzner, B. (2022). Introducing the combined atlas framework for large-scale web-based data visualization: The GloNAF atlas of plant invasion. Methods in Ecology and Evolution, 13(5), 1073–1081. https://doi.org/10.1111/2041-210x.13820, opens an external URL in a new window

Khabbazan, S., Steele-Dunne, S., Vermunt, P., Judge, J., Vreugdenhil, M., & Gao, G. (2022). The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring. Remote Sensing of Environment, 268, Article 112789. https://doi.org/10.1016/j.rse.2021.112789, opens an external URL in a new window

Lechner, M., Dostálová, A., Hollaus, M., Atzberger, C., & Immitzer, M. (2022). Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve. Remote Sensing, 14(11), 2687. https://doi.org/10.3390/rs14112687, opens an external URL in a new window

Ledermann, F. (2022). The Effect of Display Pixel Density on the Minimum Legible Size of Fundamental Cartographic Symbols. Cartographic Journal, 1–15. https://doi.org/10.1080/00087041.2022.2055938, opens an external URL in a new window

Loghin, A.-M., Otepka-Schremmer, J., Ressl, C., & Pfeifer, N. (2022). Improvement of VHR Satellite Image Geometry with High Resolution Elevation Models. Remote Sensing, 14(10), 2303. https://doi.org/10.3390/rs14102303, opens an external URL in a new window

Madelon, R., Rodriguez-Fernandez, N. J., van der Schalie, R., Scanlon, T., Al Bitar, A., Kerr, Y. H., de Jeu, R., & Dorigo, W. (2022). Toward the Removal of Model Dependency in Soil Moisture Climate Data Records by Using an L-Band Scaling Reference. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 831–848. https://doi.org/10.1109/jstars.2021.3137008, opens an external URL in a new window

Maertens, M., De Lannoy, G. J. M., Vincent, F., Massart, S., Giménez, R., Houspanossian, J., Gasparri, I., & Vanacker, V. (2022). Spatial patterns of soil salinity in the central Argentinean Dry Chaco. Anthropocene, 37(100322), 100322. https://doi.org/10.1016/j.ancene.2022.100322, opens an external URL in a new window

Maierhofer, T., Hauck, C., Hilbich, C., Kemna, A., & Flores-Orozco, A. (2022). Spectral induced polarization imaging to investigate an ice-rich mountain permafrost site in Switzerland. The Cryosphere, 16(16), 1903–1925.

Oniga, V.-E., Breaban, A.-I., Pfeifer, N., & Diac, M. (2022). 3D Modeling of Urban Area Based on Oblique UAS Images-An End-to-End Pipeline. Remote Sensing, 14(2), 422. https://doi.org/10.3390/rs14020422, opens an external URL in a new window

Rahmani, M., Nafisi, V., Böhm, S., & Asgari, J. (2022). Evaluation of the GSRM2.1 and the NUVEL1-A values in Europe using SLR and VLBI based geodetic velocity fields. Survey Review, 54(385), 349–362. https://doi.org/10.1080/00396265.2021.1943633, opens an external URL in a new window

Schlaffer, S., Chini, M., Dorigo, W., & Plank, S. (2022). Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series. Hydrology and Earth System Sciences, 26(3), 841–860. https://doi.org/10.5194/hess-26-841-2022, opens an external URL in a new window

Trebsche, P., Schlögel, I., & Flores‐Orozco, A. (2022). Combining geophysical prospection and core drilling: Reconstruction of a Late Bronze Age copper mine at Prigglitz‐Gasteil in the Eastern Alps (Austria). Archaeological Prospection, 29(4), 557–577. https://doi.org/10.1002/arp.1872, opens an external URL in a new window

Vörös, F., Gartner, G., Peterson, M. P., & Kovács, B. (2022). What does the ideal built-in car navigation system look like? - An investigation in the Central European region. Applied Sciences, 12(8), 3716. https://doi.org/10.3390/app12083716, opens an external URL in a new window

Wagner, W., Lindorfer, R., Melzer, T., Hahn, S., Bauer-Marschallinger, B., Morrison, K., Calvet, J.-C., Hobbs, S., Quast, R., Greimeister-Pfeil, I., & Vreugdenhil, M. (2022). Widespread occurrence of anomalous C-band backscatter signals in arid environments caused by subsurface scattering. Remote Sensing of Environment, 276(113025), 113025. https://doi.org/10.1016/j.rse.2022.113025, opens an external URL in a new window

Walicka, A., & Pfeifer, N. (2022). Automatic Segmentation of Individual Grains From a Terrestrial Laser Scanning Point Cloud of a Mountain River Bed. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1389–1410. https://doi.org/10.1109/jstars.2022.3141892, opens an external URL in a new window

Weber, V., Navratil, G., & Blauensteiner, F. (2022). Managing Inhomogeneity in the Control Point Network during Staking Out Cadastral Boundaries in Austria. ISPRS International Journal of Geo-Information, 11(5), 274. https://doi.org/10.3390/ijgi11050274, opens an external URL in a new window

Wild, B., Teubner, I., Moesinger, L., Zotta, R.-M., Forkel, M., van der Schalie, R., Sitch, S., & Dorigo, W. (2022). VODCA2GPP – a new, global, long-term (1988-2020) gross primary production dataset from microwave remote sensing. Earth System Science Data, 14(3), 1063–1085. https://doi.org/10.5194/essd-14-1063-2022, opens an external URL in a new window

Xu, L., Gong, J., Na, J., Yang, Y., Tan, Z., Pfeifer, N., & Zheng, S. (2022). Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning. Remote Sensing, 14(3), 767. https://doi.org/10.3390/rs14030767, opens an external URL in a new window

Zhao, J., Li, Y., Matgen, P., Pelich, R., Hostache, R., Wagner, W., & Chini, M. (2022). Urban-Aware U-Net for Large-Scale Urban Flood Mapping Using Multitemporal Sentinel-1 Intensity and Interferometric Coherence. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 4209121. https://doi.org/10.1109/TGRS.2022.3199036, opens an external URL in a new window

Özkan, T., Pfeifer, N., Styhler-Aydın, G., Hochreiner, G., Herbig, U., & Döring-Williams, M. (2022). Historic Timber Roof Structure Reconstruction through Automated Analysis of Point Clouds. Journal of Imaging, 8(1), Article 10. https://doi.org/10.3390/jimaging8010010, opens an external URL in a new window

Kostić, S., Wagner, W., Orlović, S., Levanič, T., Zlatanov, T., Goršić, E., Kesić, L., Matović, B., Tsvetanov, N., & Stojanović, D. B. (2021). Different tree-ring width sensitivities to satellite-based soil moisture from dry, moderate and wet pedunculate oak (Quercus robur L.) stands across a southeastern distribution margin. Science of the Total Environment, 800, 1–11. https://doi.org/10.34726/1301, opens an external URL in a new window

Hoppenbrock, J., Bücker, M. B., Gallistl, J., Flores-Orozco, A., de la Paz, C. P., García García, C. E., Razo Pérez, J. A., Buckel, J., & Pérez, L. (2021). Evaluation of Lake Sediment Thickness from Water-Borne Electrical Resistivity Tomogragraphy Data. Sensors, 21(23), Article 8053. https://doi.org/10.3390/s21238053, opens an external URL in a new window

Filippucci, P., Brocca, L., Massari, C., Saltalippi, C., Wagner, W., & Tarpanelli, A. (2021). Toward a self-calibrated and independent SM2RAIN rainfall product. Journal of Hydrology, 603, 1–13. https://doi.org/10.34726/1401, opens an external URL in a new window

Na, J., Ding, H., Zhao, W., Liu, K., Tang, G., & Pfeifer, N. (2021). Object-based large-scale terrain classification combined with segmentation optimization and terrain features: A case study in China. Transactions in GIS, 25(6), 2939–2962. https://doi.org/10.1111/tgis.12795, opens an external URL in a new window

Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., Flicker, K., Zettsu, K., Meixner, K., McIntosh, L., Jenkyns, R., Pröll, S., Miksa, T., & Parsons, M. A. (2021). Precisely and persistently identifying and citing arbitrary subsets of dynamic data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013, opens an external URL in a new window

Dorigo, W. A., Himmelbauer, I., Aberer, D., Schremmer, L., Petrakovic, I., Zappa, L., Preimesberger, W., Xaver, A., Annor, F. O., Ardö, J., Baldocchi, D., Bitelli, M., Blöschl, G., Bogena, H., Brocca, L., Calvet, J.-C., Camarero, J. J., Capello, G., Choi, M., … Sabia, R. (2021). The International Soil Moisture Network: serving  Earth system science for over a decade. Hydrology and Earth System Sciences, 25(11), 5749–5804. https://doi.org/10.5194/hess-25-5749-2021, opens an external URL in a new window

Zhao, J., Pelich, R., Hostache, R., Matgen, P., Cao, S., Wagner, W., & Chini, M. (2021). Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping. Remote Sensing of Environment, 265, 1–17. https://doi.org/10.34726/1302, opens an external URL in a new window

Aigner, L., Högenauer, P., Bücker, M., & Flores Orozco, A. (2021). A Flexible Single Loop Setup for Water-Borne Transient Electromagnetic Sounding Applications. Sensors, 21(19), 1–17. https://doi.org/10.3390/s21196624, opens an external URL in a new window

Hahn, S., Wagner, W., Steele-Dunne, S., Vreugdenhil, M., & Melzer, T. (2021). Improving ASCAT Soil Moisture Retrievals with an Enhanced Spatially Variable Vegetation Parameterization. IEEE Transactions on Geoscience and Remote Sensing, 59(10), 8241–8256. https://doi.org/10.34726/1622, opens an external URL in a new window

Glaner, M., & Weber, R. (2021). PPP with integer ambiguity resolution for GPS and Galileo using satellite products from different analysis centers. GPS Solutions, 25(3), Article 102. https://doi.org/10.1007/s10291-021-01140-z, opens an external URL in a new window

Zappa, L., Schlaffer, S., Bauer-Marschallinger, B., Nendel, C., Zimmermann, B., & Dorigo, W. (2021). Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. Remote Sensing, 13(9), 1–20. https://doi.org/10.3390/rs13091727, opens an external URL in a new window

Flores-Orozco, A., Katona, T., Aigner, L., Steiner, M., & Römer, A. (2021). Anwendung der induzierten Polarisation in der Graphitexploration. BHM Berg- und Hüttenmännische Monatshefte, 166(4), 201–205. https://doi.org/10.1007/s00501-021-01105-2, opens an external URL in a new window

Mandlburger, G., Kölle, M., Nübel, H., & Soergel, U. (2021). BathyNet: A Deep Neural Network for Water Depth Mapping from Multispectral Aerial Images. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89(2), 71–89. https://doi.org/10.1007/s41064-021-00142-3, opens an external URL in a new window

Haas, R., Varenius, E., Matsumoto, S., & Schartner, M. (2021). Observing UT1-UTC with VGOS. Earth, Planets and Space, 73(78), 1–7. https://doi.org/10.1186/s40623-021-01396-2, opens an external URL in a new window

Steiner, M., Wagner, F. M., Maierhofer, T., Schöner, W., & Flores Orozco, A. (2021). Improved estimation of ice and water contents in Alpine permafrost through constrained petrophysical joint inversion: The Hoher Sonnblick case study. Geophysics. https://doi.org/10.34726/1007, opens an external URL in a new window

Bruggisser, M. M., Dorigo, W., Dostálová, A., Hollaus, M., Navacchi, C., Schlaffer, S., & Pfeifer, N. (2021). Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests. Remote Sensing, 13(4), 1–30. https://doi.org/10.3390/rs13040798, opens an external URL in a new window

Dostálová, A., Lang, M., Ivanovs, J., Waser, L. T., & Wagner, W. (2021). European Wide Forest Classification Based on Sentinel-1 Data. Remote Sensing, 13(3), 1–26. https://doi.org/10.3390/rs13030337, opens an external URL in a new window

Aichinger-Rosenberger, M., Weber, R., & Hanna, N. (2021). Kinematic ZTD Estimation from Train-Borne Single-Frequency GNSS: Validation and Assimilation. Remote Sensing, 13(19), 3793. https://doi.org/10.3390/rs13193793, opens an external URL in a new window

Alvites, C., Santopuoli, G., Hollaus, M., Pfeifer, N., Maesano, M., Moresi, F. V., Marchetti, M., & Lasserre, B. (2021). Terrestrial Laser Scanning for Quantifying Timber Assortments from Standing Trees in a Mixed and Multi-Layered Mediterranean Forest. Remote Sensing, 13(21), 4265. https://doi.org/10.3390/rs13214265, opens an external URL in a new window

Barone, I., Boaga, J., Carrera, A., Flores-Orozco, A., & Cassiani, G. (2021). Tackling lateral variability using surface waves: a tomography-like approach. Surveys in Geophysics, 42(2), 317–338. https://doi.org/10.1007/s10712-021-09631-x, opens an external URL in a new window

Bauer-Marschallinger, B., Cao, S., Navacchi, C., Freeman, V., Reuß, F., Geudtner, D., Rommen, B., Vega, F. C., Snoeij, P., Attema, E., Reimer, C., & Wagner, W. (2021). The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves. Scientific Data, 8(277). https://doi.org/10.1038/s41597-021-01059-7, opens an external URL in a new window

Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., Sheffield, J., Karthikeyan, L., Balsamo, G., Parinussa, R. M., van Dijk, A. I. J. M., Du, J., Kimball, J. S., Vergopolan, N., & Wood, E. F. (2021). Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors. Hydrology and Earth System Sciences, 25(1), 17–40. https://doi.org/10.5194/hess-25-17-2021, opens an external URL in a new window

Brill, F., Schlaffer, S., Martinis, S., Schröter, K., & Kreibich, H. (2021). Extrapolating Satellite-Based Flood Masks by One-Class Classification-A Test Case in Houston. Remote Sensing, 13(11), 2042. https://doi.org/10.3390/rs13112042, opens an external URL in a new window

Britzen, S., Zajacek, M., Popovic, L., Fendt, C., Tramacere, A., Panshchenko, I., Jaron, F., Panis, R., Petrov, L., Aller, M., & Aller, H. (2021). A ring accelerator? Unusual jet dynamics in the IceCube candidate PKS 1502+106. Monthly Notices of the Royal Astronomical Society, 503(3), 3145–3178. https://doi.org/10.1093/mnras/stab589, opens an external URL in a new window

Bruggisser, M., Dorigo, W., Dostálová, A., Hollaus, M., Navacchi, C., Schlaffer, S., & Pfeifer, N. (2021). Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests. Remote Sensing, 13(4), 798. https://doi.org/10.3390/rs13040798, opens an external URL in a new window

Bücker, M., Flores-Orozco, A., Gallistl, J., Steiner, M., Aigner, L., Hoppenbrock, J., Glebe, R., Morales Barrera, W., Pita de la Paz, C., Garcia Garcia, E., Razo Perez, J. A., Buckel, J., Hördt, A., Schwalb, A., & Pérez, L. (2021). Integrated land and water-borne geophysical surveys shed light on the sudden drying of large karst lakes in southern Mexico. Solid Earth, 12(2), 439–461. https://doi.org/10.5194/se-12-439-2021, opens an external URL in a new window

Dorigo, W., Dietrich, S., Aires, F., Brocca, L., Carter, S., Cretaux, J.-F., Dunkerley, D., Enomoto, H., Forsberg, R., Güntner, A., Hegglin, M. I., Hollmann, R., Hurst, D. F., Johannessen, J. A., Kummerow, C., Lee, T., Luojus, K., Looser, U., Miralles, D. G., … Aich, V. (2021). Closing the Water Cycle from Observations across Scales: Where Do We Stand? Bulletin of the American Meteorological Society, 102(10), E1897–E1935. https://doi.org/10.1175/bams-d-19-0316.1, opens an external URL in a new window

Dostálová, A., Lang, M., Ivanovs, J., Waser, L. T., & Wagner, W. (2021). European Wide Forest Classification Based on Sentinel-1 Data. Remote Sensing, 13(3), 337. https://doi.org/10.3390/rs13030337, opens an external URL in a new window

Fairbairn, D., Gartner, G., & Peterson, M. P. (2021). Epistemological thoughts on the success of maps and the role of cartography. International Journal of Cartography, 7(3), 317–331. https://doi.org/10.1080/23729333.2021.1972909, opens an external URL in a new window

Fleischer, F., Haas, F., Piermattei, L., Pfeiffer, M., Heckmann, T., Altmann, M., Rom, J., Stark, M., Wimmer, M. H., Pfeifer, N., & Becht, M. (2021). Multi-decadal (1953–2017) rock glacier kinematics analysed by high-resolution topographic data in the upper Kaunertal, Austria. The Cryosphere, 15(12), 5345–5369. https://doi.org/10.5194/tc-15-5345-2021, opens an external URL in a new window

Flores-Orozco, A., Aigner, L., & Gallistl, J. (2021). Investigation of cable effects in spectral induced polarization imaging at the field scale using multicore and coaxial cables. Geophysics, 86(1), E59–E75. https://doi.org/10.1190/geo2019-0552.1, opens an external URL in a new window

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Frantz, D., Schug, F., Okujeni, A., Navacchi, C., Wagner, W., van der Linden, S., & Hostert, P. (2021). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment, 252(112128), 112128. https://doi.org/10.1016/j.rse.2020.112128, opens an external URL in a new window

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Harmening, C., & Paffenholz, J.-A. (2021). A Fully Automated Three-Stage Procedure for Spatio-Temporal Leaf Segmentation with Regard to the B-Spline-Based Phenotyping of Cucumber Plants. Remote Sensing, 13(1), 74. https://doi.org/10.3390/rs13010074, opens an external URL in a new window

Harmening, C., Hobmaier, C., & Neuner, H. (2021). Laser Scanner-Based Deformation Analysis Using Approximating B-Spline Surfaces. Remote Sensing, 13(18), 3551. https://doi.org/10.3390/rs13183551, opens an external URL in a new window

Holst, C., & Neuner, H. (2021). Spatio-Temporal Models for Vibration Monitoring of Elongated Structures Using Profile Laser Scans. Remote Sensing, 13(7), 1369. https://doi.org/10.3390/rs13071369, opens an external URL in a new window

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Masiero, A., Toth, C., Gabela, J., Retscher, G., Kealy, A., Perakis, H., Gikas, V., & Grejner-Brzezinska, D. (2021). Experimental Assessment of UWB and Vision-Based Car Cooperative Positioning System. Remote Sensing, 13(23), 4858. https://doi.org/10.3390/rs13234858, opens an external URL in a new window

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Mikolka-Flöry, S., & Pfeifer, N. (2021). Horizon Line Detection in Historical Terrestrial Images in Mountainous Terrain Based on the Region Covariance. Remote Sensing, 13(9), 1705. https://doi.org/10.3390/rs13091705, opens an external URL in a new window

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Pfeifer, N., Falkner, J., Bayr, A., Eysn, L., & Ressl, C. (2021). Test Charts for Evaluating Imaging and Point Cloud Quality of Mobile Mapping Systems for Urban Street Space Acquisition. Remote Sensing, 13(2), 237. https://doi.org/10.3390/rs13020237, opens an external URL in a new window

Raschhofer, J., Kerekes, G., Harmening, C., Neuner, H., & Schwieger, V. (2021). Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance-Covariance Matrices for TLS Point Clouds. Remote Sensing, 13(16), 3124. https://doi.org/10.3390/rs13163124, opens an external URL in a new window

Retscher, G., & Leb, A. (2021). Development of a Smartphone-based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting. Sensors, 21(2), 432. https://doi.org/10.3390/s21020432, opens an external URL in a new window

Reuß, F., Greimeister-Pfeil, I., Vreugdenhil, M., & Wagner, W. (2021). Comparison of Long Short-Term Memory Networks and Random Forest for Sentinel-1 Time Series Based Large Scale Crop Classification. Remote Sensing, 13(24), 5000. https://doi.org/10.3390/rs13245000, opens an external URL in a new window

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Steele-Dunne, S. C., Hahn, S., Wagner, W., & Vreugdenhil, M. (2021). Towards Including Dynamic Vegetation Parameters in the EUMETSAT H SAF ASCAT Soil Moisture Products. Remote Sensing, 13(8), 1463. https://doi.org/10.3390/rs13081463, opens an external URL in a new window

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Zhao, J., Pelich, R., Hostache, R., Matgen, P., Cao, S., Wagner, W., & Chini, M. (2021). Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping. Remote Sensing of Environment, 265(112668), 112668. https://doi.org/10.1016/j.rse.2021.112668, opens an external URL in a new window

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van der Schalie, R., van der Vliet, M., Rodríguez-Fernández, N., Dorigo, W., Scanlon, T., Preimesberger, W., Madelon, R., & de Jeu, R. (2021). L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records. Remote Sensing, 13(13), 2480. https://doi.org/10.3390/rs13132480, opens an external URL in a new window

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Adavi, Z., Rohm, W., & Weber, R. (2020). Analyzing Different Parameterization Methods in GNSS Tomography Using the COST Benchmark Dataset. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 6155–6163. https://doi.org/10.1109/jstars.2020.3027909, opens an external URL in a new window

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Amaral, C., Poulter, B., Fatoyinbo, L., Lagomasino, D., Taillie, P., Lizcano, G., & Roman-Cuesta, R. M. (2021). Assessing the long-term effect of hurricanes on the Caribbean mangrove structure with GEDI L3 data. In Proceedings of the SilviLaser Conference 2021 (pp. 243–245). https://doi.org/10.34726/wim.1994, opens an external URL in a new window

Andersen, H.-E., Strunk, J., Cook, B., Morton, D., Alonzo, M., Finley, A. O., Babcock, C., & Cahoon, S. (2021). Using advanced airborne remote sensing as a sampling tool to support forest inventory in interior Alaska, USA. In Proceedings of the SilviLaser Conference 2021 (pp. 323–326). https://doi.org/10.34726/wim.2024, opens an external URL in a new window

Armston, J., Dubayah, R., Healey, S., Kellner, J., Duncanson, L. I., Hofton, M., Blair, J. B., Bruening, J., Tang, H., & Luthcke, S. (2021). NASA’s Global Ecosystem Dynamics Investigation (GEDI): Progress towards global mapping of aboveground biomass. In Proceedings of the SilviLaser Conference 2021 (pp. 334–336). https://doi.org/10.34726/wim.2027, opens an external URL in a new window

Bacher, U., & Roth, R. (2021). Airborne LiDAR System Optimisation for Foliage Penetration. In Proceedings of the SilviLaser Conference 2021 (pp. 35–37). https://doi.org/10.34726/wim.1907, opens an external URL in a new window

Bartholomeus, H., Sarmiento, A. L., Brede, B., van Hoeve, K., & Koelewijn, N. (2021). Comparing portable MLS to TLS and UAV-LS derived individual tree parameters. In Proceedings of the SilviLaser Conference 2021 (pp. 142–144). https://doi.org/10.34726/wim.1961, opens an external URL in a new window

Berger, V., Kirchmeir, H., & Hirschmugl, M. (2021). Application-oriented approach to monitoring the dynamics of avalanche tracks using conventional forest inventory parameters and Lidar-based change detection. In Proceedings of the SilviLaser Conference 2021 (pp. 353–355). https://doi.org/10.34726/wim.2034, opens an external URL in a new window

Bohlin, I., Maltamo, M., Hedenås, H., Lämås, T., Dahlgren, J., & Mehtätalo, L. (2021). Predicting bilberry yields using ALS and other auxiliary data combined with NFI field plots. In Proceedings of the SilviLaser Conference 2021 (pp. 10–12). https://doi.org/10.34726/wim.1863, opens an external URL in a new window

Bohn Reckziegel, R., Sheppard, J. P., Morhart, C., & Kahle, H.-P. (2021). Shading effects of trees revealed using TLS and QSMs. In Proceedings of the SilviLaser Conference 2021 (pp. 44–46). https://doi.org/10.34726/wim.1910, opens an external URL in a new window

Bonilla-Bedoya, S., Mejía-Coronel, D., & Zalakeviciute, R. (2021). Multispectral Images SPOT for Urban Forest Monitoring. In Proceedings of the SilviLaser Conference 2021 (pp. 359–363). https://doi.org/10.34726/wim.2036, opens an external URL in a new window

Bornand, A., Abegg, M., & Morsdorf, F. (2021). Terrestrial laser scanning for forest inventories: Tree volume and biomass estimation using extended allometric models. In Proceedings of the SilviLaser Conference 2021 (pp. 198–200). https://doi.org/10.34726/wim.1980, opens an external URL in a new window

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Briechle, S., Krzystek, P., & Vosselmann, G. (2021). Deep Learning-based classification of tree species and standing dead trees using Silvi-Net. In Proceedings of the SilviLaser Conference 2021 (pp. 160–162). https://doi.org/10.34726/wim.1966, opens an external URL in a new window

Bronner, G., Fellner, H., & Birnbauer, K. (2021). Repeatability of TLS-based tree diameters on permanent sample plots. In Proceedings of the SilviLaser Conference 2021 (pp. 350–351). https://doi.org/10.34726/wim.2032, opens an external URL in a new window

Budei, B. C., St-Onge, B., Fournier, R. A., & Kneeshaw, D. (2021). Effect of variability of normalized differences calculated from multi-spectral lidar on individual tree species identification. In Proceedings of the SilviLaser Conference 2021 (pp. 188–190). https://doi.org/10.34726/wim.1976, opens an external URL in a new window

Bülbül, R., Reder, S., & Mund, J.-P. (2021). Performance test of tree segmentation algorithms for WLS point clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 236–239). https://doi.org/10.34726/wim.1991, opens an external URL in a new window

Calders, K., Newnham, G., Boer, M., Disney, M., Ellsworth, D., Herold, M., Medlyn, B., Phinn, S., Raumonen, P., Scarth, P., Wu, D., Hickson, J., & Verbeeck, H. (2021). Quantifying forest dynamics in a free-air CO2 enrichment experiment using terrestrial laser scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 16–18). https://doi.org/10.34726/wim.1901, opens an external URL in a new window

Campos, M., Junttila, S., Shcherbacheva, A., Wang, Y., Liang, X., Hyyppä, J., & Puttonen, E. (2021). Perspectives on long-term TLS time-series to detect changes in tree crowns. In Proceedings of the SilviLaser Conference 2021 (pp. 105–107). https://doi.org/10.34726/wim.1931, opens an external URL in a new window

Chudá, J., Mokroš, M., Sivák, M., & Kadlečík, R. (2021). Evaluation of the Positional Accuracy of Trees Derived Using SLAM. In Proceedings of the SilviLaser Conference 2021 (pp. 284–286). https://doi.org/10.34726/wim.2011, opens an external URL in a new window

Cimarras, A., Antonio Manzanera, J., & Valbuena, R. (2021). Vegetation fuel type dynamics and classification using multitemporal LiDAR. In Proceedings of the SilviLaser Conference 2021 (pp. 22–24). https://doi.org/10.34726/wim.1903, opens an external URL in a new window

Cosenza, D., Soares, P., Tomé, M., Pereira, J. M., & Silva, J. (2021). Species classification of cork oak and stone pine trees using airborne laser scanning and individual tree detection. In Proceedings of the SilviLaser Conference 2021 (pp. 163–165). https://doi.org/10.34726/wim.1967, opens an external URL in a new window

De Miguel-Díez, F., Reder, S., Wallor, E., Bahr, H., Mund, J.-P., & Cremer, T. (2021). Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology in Roundwood Measurement. In Proceedings of the SilviLaser Conference 2021 (pp. 101–103). https://doi.org/10.34726/wim.1929, opens an external URL in a new window

Dersch, S., Schoettl, A., Krzystek, P., & Heurich, M. (2021). Instance segmentation for single tree delineation using drone-based multispectral imagery and lidar data. In Proceedings of the SilviLaser Conference 2021 (pp. 269–269). https://doi.org/10.34726/wim.2005, opens an external URL in a new window

Duncanson, L. I., Neuenschwander, A., Montesano, P., Thomas, N., Mandel, A., Minor, D., Guenther, E., Hancock, S., Silva, C. A., Armston, J., Feng, T., Dubayah, R., Leitold, V., White, J., & Wulder, M. (2021). Boreal-wide biomass estimation with ICESat-2. In Proceedings of the SilviLaser Conference 2021 (pp. 313–314). https://doi.org/10.34726/wim.2020, opens an external URL in a new window

Ender, L., Kükenbrink, D., & Ginzler, C. (2021). Forest stand structure assessment using airborne laser scanning and forest inventory data – working towards a nationwide wall to wall coverage. In Proceedings of the SilviLaser Conference 2021 (pp. 352–352). https://doi.org/10.34726/wim.2033, opens an external URL in a new window

Gollob, C., Ritter, T., Kraßnitzer, R., Tockner, A., & Nothdurft, A. (2021). Forest Inventory with Apple iPad Pro and integrated LiDAR Technology. In Proceedings of the SilviLaser Conference 2021 (pp. 87–89). https://doi.org/10.34726/wim.1924, opens an external URL in a new window

Harding, D., Yang, G., Chen, J., Stephen, M., Sun, X., Durachka, D., Li, H., Lu, W., Mackinnon, J., Wise, T., Ranson, J., & Dabney, P. (2021). CASALS: an Adaptive Lidar and Spectrometry SmallSat for a NASA Explorer Mission. In Proceedings of the SilviLaser Conference 2021 (pp. 320–322). https://doi.org/10.34726/wim.2023, opens an external URL in a new window

He, L., Pang, Y., Zhang, Z., Liang, X., & Chen, B. (2021). ICESat-2 data classification and canopy height validation - a case study in the northern region of China. In Proceedings of the SilviLaser Conference 2021 (pp. 167–169). https://doi.org/10.34726/wim.1969, opens an external URL in a new window

Hirschmugl, M., Fellner, H., Wack, R., Bronner, G., & Schardt, M. (2021). Low altitude LiDAR and TLS point clouds for improved tree detection. In Proceedings of the SilviLaser Conference 2021 (pp. 258–265). https://doi.org/10.34726/wim.2003, opens an external URL in a new window

Hollaus, M., Otepka-Schremmer, J., Galle, J., & Bronner, G. (2021). Branch detection based on TLS data. In Proceedings of the SilviLaser Conference 2021 (pp. 255–257). https://doi.org/10.34726/wim.2002, opens an external URL in a new window

Hollaus, M., Pfeifer, N., Gschwantner, T., & Berger, A. (2021). Operationalizing multi-temporal stem volume assessment based on ALS data. In Proceedings of the SilviLaser Conference 2021 (pp. 201–204). https://doi.org/10.34726/wim.1981, opens an external URL in a new window

Hollaus, M., Schlaffer, S., Müller, M. M., Vacik, H., Pfeifer, N., & Dorigo, W. (2021). ALS based forest information for forest fire danger modelling. In Proceedings of the SilviLaser Conference 2021 (pp. 303–306). https://doi.org/10.34726/wim.2017, opens an external URL in a new window

Hooper, T., Parlow, M., Jeong, H., Robertson-Hooper, D., & Lawless, G. (2021). Machine Learning for Tree Species Identification from LiDAR & Imagery. In Proceedings of the SilviLaser Conference 2021 (pp. 327–330). https://doi.org/10.34726/wim.2025, opens an external URL in a new window

Hudak, A., Bright, B., Rowell, E., Robertson, K., Pokswinski, S., Hiers, K., Prichard, S., Nowell, H., Holmes, C., Gargulinski, E., & Soja, A. (2021). Estimating Surface Fuel Density from TLS and ALS: A Two-Tiered Approach that Accounts for Sampling Scale. In Proceedings of the SilviLaser Conference 2021 (pp. 123–125). https://doi.org/10.34726/wim.1937, opens an external URL in a new window

Huo, L., Lindberg, E., & Holmgren, J. (2021). Tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD). In Proceedings of the SilviLaser Conference 2021 (pp. 25–27). https://doi.org/10.34726/wim.1904, opens an external URL in a new window

Huo, L., Strengbom, J., & Lindberg, E. (2021). Estimation of nature conservation value using airborne laser scanning data by deadwood recognition. In Proceedings of the SilviLaser Conference 2021 (pp. 126–128). https://doi.org/10.34726/wim.1938, opens an external URL in a new window

Iglseder, A., Pfeifer, N., & Hollaus, M. (2021). The Potential of ALS Data for Habitat Classification in Forest Landscapes - First Results. In Proceedings of the SilviLaser Conference 2021 (pp. 132–135). https://doi.org/10.34726/wim.1940, opens an external URL in a new window

Indirabai, I., Mukhopadhyay, R., Duncanson, L. I., Armston, J. D., Ekström, M., Gobakken, T., Næsset, E., & Saarela, S. (2021). Aboveground Biomass Assessment Using GEDI Data across Diverse Forest Ecosystems in India. In Proceedings of the SilviLaser Conference 2021 (pp. 282–232). https://doi.org/10.34726/wim.1989, opens an external URL in a new window

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Jackson, T., Hickman, S., Ball, J., Swinfield, T., Nunes, M., Vincent, G., Aubry-Kientz, M., & Coomes, D. (2021). Three attempts to detect changes in tropical forests using repeat LiDAR scans. In Proceedings of the SilviLaser Conference 2021 (pp. 310–312). https://doi.org/10.34726/wim.2019, opens an external URL in a new window

Kalinicheva, E., Landrieu, L., Mallet, C., & Chehata, N. (2021). Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 41–43). https://doi.org/10.34726/wim.1909, opens an external URL in a new window

Kankare, V., Saarinen, N., Pyörälä, J., Yrttimaa, T., Huuskonen, S., Hynynen, J., & Vastaranta, M. (2021). Terrestrial laser scanning reveals consistent dependencies between mean wood density and tree crown architecture. In Proceedings of the SilviLaser Conference 2021 (pp. 210–212). https://doi.org/10.34726/wim.1983, opens an external URL in a new window

Kansanen, K., Packalen, P., Maltamo, M., & Mehtätalo, L. (2021). Correcting TLS Estimation for Shading by Other Trees Using a Horvitz-Thompson-like Estimator. In Proceedings of the SilviLaser Conference 2021 (pp. 56–58). https://doi.org/10.34726/wim.1914, opens an external URL in a new window

Kato, A., & Tsutsumida, N. (2021). Deep learning with 3D laser data to identify tree species. In Proceedings of the SilviLaser Conference 2021 (pp. 340–342). https://doi.org/10.34726/wim.2029, opens an external URL in a new window

Korhonen, L., Bruguière, A., Varvia, P., Toivonen, J., Packalen, P., Maltamo, M., Saarela, S., & Popescu, S. (2021). How to consider the effects of time of day, beam strength, and snow cover in ICESat-2 based estimation of boreal forest biomass? In Proceedings of the SilviLaser Conference 2021 (pp. 38–40). https://doi.org/10.34726/wim.1908, opens an external URL in a new window

Král, K., Missarov, A., Krůček, M., & Petrov, M. (2021). Occupation of Canopy Space in European Temperate Old-Growth Forest observed by TLS. In Proceedings of the SilviLaser Conference 2021 (pp. 291–293). https://doi.org/10.34726/wim.2013, opens an external URL in a new window

Kuzmich, R., Hill, R., Treitz, P., Bellamy, P., & Hinsley, S. (2021). Ecologically informed bird habitat characterization with airborne laser scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 59–61). https://doi.org/10.34726/wim.1915, opens an external URL in a new window

Kükenbrink, D., Marty, M., Bösch, R., & Ginzler, C. (2021). Close-Range Remote Sensing for National Forest Inventory Applications - A Comparison of Terrestrial and Airborne Approaches. In Proceedings of the SilviLaser Conference 2021 (pp. 148–150). https://doi.org/10.34726/wim.1963, opens an external URL in a new window

Lau, A., Sukhdeo, H., Wortel, V., Bartholomeus, H., Sewdien, A., Bekkers, V., & Herold, M. (2021). Terrestrial LiDAR Derived Allometric Models for Guyana and Suriname. In Proceedings of the SilviLaser Conference 2021 (pp. 62–64). https://doi.org/10.34726/wim.1916, opens an external URL in a new window

Leclere, L., Latte, N., Bolyn, C., & Lejeune, P. (2021). Mapping Natural Regeneration in Canopy Gaps from Seedlings to Saplings in Uneven-Aged Deciduous Forests using ALS Data. In Proceedings of the SilviLaser Conference 2021 (pp. 83–86). https://doi.org/10.34726/wim.1923, opens an external URL in a new window

Leite, R., Silva, C. A., Broadbent, E., Amaral, C., Liesenberg, V., Almeida, D., Mohan, M., Godinho, S., Cardil, A., Hamamura, C., Faria, B., Brancalion, P., Hirsch, A., Marcatti, G., Dalla-Corte, A. P., Zambrano, A., Costa, M., Matricardi, E., Silva, A., … Klauberg, C. (2021). Estimating total fuel load in tropical savanna using NASA’s GEDI spaceborne lidar and machine learning. In Proceedings of the SilviLaser Conference 2021 (pp. 297–299). https://doi.org/10.34726/wim.2015, opens an external URL in a new window

Liang, X., Pang, Y., & Li, Z. (2021). GEDI data evaluation and canopy height change analysis - a case study in the Northeast of China. In Proceedings of the SilviLaser Conference 2021 (pp. 170–172). https://doi.org/10.34726/wim.1970, opens an external URL in a new window

Liu, M., Popescu, S., & Malambo, L. (2021). Effects of segment length on burned forest classification with ICESat-2 Data. In Proceedings of the SilviLaser Conference 2021 (pp. 266–268). https://doi.org/10.34726/wim.2004, opens an external URL in a new window

Liu, X., Neigh, C., & Forkel, M. (2021). Comparing the vertical structure of tropical forests as seen by space- and airborne lidar and P-band SAR tomography. In Proceedings of the SilviLaser Conference 2021 (pp. 28–30). https://doi.org/10.34726/wim.1905, opens an external URL in a new window

MacFarlane, D. W., Arseniou, G., Burt, A., Vicari, M. B., Disney, M., & Calders, K. (2021). Exploring the effect of leaves on tree woody surface area estimation with quantitative structural models. In Proceedings of the SilviLaser Conference 2021 (pp. 77–79). https://doi.org/10.34726/wim.1921, opens an external URL in a new window

Malambo, L., & Popescu, S. (2021). Stem Volume Modeling in Eastern Texas Loblolly Pine Forests. In Proceedings of the SilviLaser Conference 2021 (pp. 182–184). https://doi.org/10.34726/wim.1974, opens an external URL in a new window

Mandlburger, G., Monetti, D., Hollaus, M., Wimmer, M., Otepka-Schremmer, J., & Pfeifer, N. (2021). A case study for detection and modelling of submerged deadwood from UAV-borne topo-bathymetric LiDAR point clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 195–197). https://doi.org/10.34726/wim.1979, opens an external URL in a new window

Martin-Alcón, S., Duque-Lazo, J., & Tomé-Morán, J. L. (2021). Assessing the potential of adaptive individual tree detection to improve accuracy of area-based stand density modelling in ALS-assisted forest inventory. In Proceedings of the SilviLaser Conference 2021 (pp. 274–276). https://doi.org/10.34726/wim.2008, opens an external URL in a new window

McNicol, I., Aquino, C., Burt, A., Carstairs, H., Disney, M., & Mitchard, E. (2021). The Forest Degradation Experiment (FODEX). In Proceedings of the SilviLaser Conference 2021 (pp. 240–242). https://doi.org/10.34726/wim.1993, opens an external URL in a new window

Mehtätalo, L., Yazigi, A., Kansanen, K., Packalen, P., Lähivaara, T., Maltamo, M., Myllymäki, M., & Penttinen, A. (2021). Using Stochastic Geometry and Sequential Spatial Point Process Model for Estimation of Stand Density Based on ALS-ITD. In Proceedings of the SilviLaser Conference 2021 (pp. 114–116). https://doi.org/10.34726/wim.1934, opens an external URL in a new window

Miltiadou, M., Theocharidis, C., Karathanassi, V., Agapiou, A., Nikolaidis, M., & Danezis, C. (2021). Understanding phenological changes of coniferous forests in Cyprus using time-series of SAR data from 2015 till 2020. In Proceedings of the SilviLaser Conference 2021 (pp. 145–147). https://doi.org/10.34726/wim.1962, opens an external URL in a new window

Missarov, A., Krasylenko, Y., Krůček, M., Slavik, M., Nutfullin, B., & Král, K. (2021). Drone LiDAR remote sensing for mistletoe recognition and monitoring. In Proceedings of the SilviLaser Conference 2021 (pp. 300–302). https://doi.org/10.34726/wim.2016, opens an external URL in a new window

Mokros, M., Singh, A., Tomaštík, J., Chudá, J., Wężyk, P., & Liang, X. (2021). Mobile laser scanning with iPad Pro LiDAR. In Proceedings of the SilviLaser Conference 2021 (pp. 273–273). https://doi.org/10.34726/wim.2007, opens an external URL in a new window

Molina-Valero, J. A., Aulló-Maestro, I., Parras, A., Pérez-Cruzado, C., & Montes, F. (2021). Assessing the ForeStereo sensor and the FORTLS R package for estimating stand variables in mature forests. In Proceedings of the SilviLaser Conference 2021 (pp. 95–97). https://doi.org/10.34726/wim.1927, opens an external URL in a new window

Mukhopadhyay, R., Indirabai, I., Nilsson, M., Egberth, M., Holmström, E., & Ekström, M. (2021). Modelling of Aboveground Biomass Change Using LiDAR Metrics and NFI Field Data: A Case Study of Southern Sweden. In Proceedings of the SilviLaser Conference 2021 (pp. 205–209). https://doi.org/10.34726/wim.1982, opens an external URL in a new window

Narine, L., Malambo, L., & Popescu, S. (2021). Estimating canopy cover from ICESat-2. In Proceedings of the SilviLaser Conference 2021 (pp. 157–159). https://doi.org/10.34726/wim.1965, opens an external URL in a new window

Nita, M. D., Candrea, B., Cucu-Dumitrescu, C., Grama, B., & Iuga, I. (2021). VirtSilv A.I. 3D platform for sustainable forest management. In Proceedings of the SilviLaser Conference 2021 (pp. 280–283). https://doi.org/10.34726/wim.2010, opens an external URL in a new window

Njimi, H., Chehata, N., & Revers, F. (2021). Mapping riparian forest species for biodiversity analysis by fusion of Airborne LiDAR and multispectral satellite imagery. In Proceedings of the SilviLaser Conference 2021 (pp. 277–279). https://doi.org/10.34726/wim.2009, opens an external URL in a new window

Noordermeer, L., Næsset, E., & Gobakken, T. (2021). Estimating Timber Volume using Harvester Data and Airborne Laser Scanner Data from Multiple Acquisitions. In Proceedings of the SilviLaser Conference 2021 (pp. 31–34). https://doi.org/10.34726/wim.1906, opens an external URL in a new window

Nothdurft, A., Gollob, C., Kraßnitzer, R., Erber, G., Ritter, T., Stampfer, K., & Finley, A. O. (2021). Spatial Prediction of Forest Inventory Results from Portable Laser Scanning using Airborne Laser Scanning Data and Spatial Hierarchical Bayes Models. In Proceedings of the SilviLaser Conference 2021 (pp. 80–82). https://doi.org/10.34726/wim.1922, opens an external URL in a new window

Otepka-Schremmer, J., Hollaus, M., Mandlburger, G., Gokl, L., Karel, W., Wöhrer, B., & Pfeifer, N. (2021). OPALS: A Flexible and Efficient Point Cloud Processing Software for Forest Application. In Proceedings of the SilviLaser Conference 2021 (pp. 246–249). https://doi.org/10.34726/wim.1995, opens an external URL in a new window

Persson, H., Olofsson, K., & Holmgren, J. (2021). Impact of sample size – empirical results from a hybrid inference two-phase inventory based on dense laser scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 108–110). https://doi.org/10.34726/wim.1932, opens an external URL in a new window

Persson, M., Trubins, R., Eriksson, L.-O., Bergh, J., Sonesson, J., & Holmström, E. (2021). Precision Thinning - a comparison of stand-level and pixel-level thinning in Norway spruce and Scots pine stands. In Proceedings of the SilviLaser Conference 2021 (pp. 364–364). https://doi.org/10.34726/wim.2037, opens an external URL in a new window

Pitkänen, T., Bianchi, S., & Kangas, A. (2021). Quantifying Tree Crown Plasticity with TLS Data for Improved Individual-tree Growth Models. In Proceedings of the SilviLaser Conference 2021 (pp. 65–67). https://doi.org/10.34726/wim.1917, opens an external URL in a new window

Puliti, S., Pearse, G., Watt, M., Mitchard, E., McNicol, I., Bremer, M., Rutzinger, M., Surovy, P., Wallace, L., Hollaus, M., & Astrup, R. (2021). A new UAV laser scanning benchmark dataset for characterization of single-tree and forest biophysical properties. In Proceedings of the SilviLaser Conference 2021 (pp. 224–227). https://doi.org/10.34726/wim.1988, opens an external URL in a new window

Renaud, J.-P., Sagar, A., Barbillon, P., Bouriaud, O., Deleuze, C., & Véga, C. (2021). Convex hull: Another Perspective about Model Predictions and Map Derivatives from Remote Sensing Data. In Proceedings of the SilviLaser Conference 2021 (pp. 71–73). https://doi.org/10.34726/wim.1919, opens an external URL in a new window

Ribeiro, A., Mendonça, B., & Amaral, C. (2021). Global Ecosystem Dynamics Investigation data enable structural patterns assessment in Amazon rainforest. In Proceedings of the SilviLaser Conference 2021 (pp. 294–296). https://doi.org/10.34726/wim.2014, opens an external URL in a new window

Ritter, T., Gollob, C., & Nothdurft, A. (2021). Modelling the Detection Rate of Terrestrial Laser Scanning in Multi Scan Mode. In Proceedings of the SilviLaser Conference 2021 (pp. 53–55). https://doi.org/10.34726/wim.1913, opens an external URL in a new window

Räty, J., Astrup, R., & Breidenbach, J. (2021). Model-Assisted Estimation of Timber Volume by Means of Harvester and ALS Data. In Proceedings of the SilviLaser Conference 2021 (pp. 270–272). https://doi.org/10.34726/wim.2006, opens an external URL in a new window

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Scheeres, J., Brede, B., de Jong, J., Molin, P. G., Miranda, F., Almeida, C., Broadbent, E., Almeyda Zambrano, A. M., Brancalion, P., & de Almeida, D. R. A. (2021). Distinguishing tropical forest typologies with UAV LiDAR. In Proceedings of the SilviLaser Conference 2021 (pp. 139–141). https://doi.org/10.34726/wim.2061, opens an external URL in a new window

Schleich, A., Soma, M., Durrieu, S., Véga, C., Renaud, J.-P., & Bouriaud, O. (2021). Improving GEDI Footprint Geolocation using a High Resolution Digital Terrain Model. In Proceedings of the SilviLaser Conference 2021 (pp. 179–181). https://doi.org/10.34726/wim.1973, opens an external URL in a new window

Schraik, D., Hovi, A., & Rautiainen, M. (2021). A method to estimate silhouette to total area ratio (STAR) from TLS point clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 50–52). https://doi.org/10.34726/wim.1912, opens an external URL in a new window

Shen, X., & Cao, L. (2021). Investigating 3-D distribution of bio-chemical traits in tree canopy using UAS-based LiDAR and hyperspectral data. In Proceedings of the SilviLaser Conference 2021 (pp. 90–90). https://doi.org/10.34726/wim.1925, opens an external URL in a new window

Slavik, K. (2021). Challenges to Collaboration in International Research: Lessons from Terrestrial Laser Scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 250–252). https://doi.org/10.34726/wim.1996, opens an external URL in a new window

Soma, M., Pimont, F., Durrieu, S., & Dupuy, J.-L. (2021). Estimation of Spatial Distribution of Leaf Area Density in Canopies from Terrestrial LiDAR Point Clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 173–175). https://doi.org/10.34726/wim.1971, opens an external URL in a new window

Stovall, A., Fatoyinbo, L., Armston, J., Bentley, L., Calders, K., & Disney, M. (2021). Deriving Forest Structural Biodiversity Traits with Terrestrial Laser Scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 233–235). https://doi.org/10.34726/wim.1990, opens an external URL in a new window

Sumnall, M., Albaugh, T., Carter, D., Cook, R., Hession, C., Campoe, O., Rubilar, R., Wynne, R., & Thomas, V. (2021). Effect of airborne laser scanning pulse density on accuracy in quantifying forest structure using an unmanned aerial vehicle. In Proceedings of the SilviLaser Conference 2021 (pp. 287–290). https://doi.org/10.34726/wim.2012, opens an external URL in a new window

Sun, Y., Lin, X., Cao, L., Zhang, Y., Jiang, J., & Wen, X. (2021). Stem shape and volume of standing tree based on TLS point cloud inversion mixed-forest management. In Proceedings of the SilviLaser Conference 2021 (pp. 222–223). https://doi.org/10.34726/wim.1987, opens an external URL in a new window

Terryn, L., Calders, K., Meir, P., & Verbeeck, H. (2021). Quantifying Structural Response in a Through-fall Drought Experiment Using Terrestrial Laser Scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 19–21). https://doi.org/10.34726/wim.1902, opens an external URL in a new window

Thomas, N., Fatoyinbo, L., Pertiwi, A. P., Traganos, D., Lagomasino, D., Poursanidis, D., Moreno, S., & Cortes, I. (2021). Using ICESat-2 to Characterize Coastal Ecosystems. In Proceedings of the SilviLaser Conference 2021 (pp. 120–122). https://doi.org/10.34726/wim.1936, opens an external URL in a new window

Thomas, V., Wynne, R., Campbell, P., Harding, D., Huemmrich, K., Middleton, E., Ranson, K., & Williams, P. (2021). Influence of variations in remotely quantified functional traits and diversity on gross primary productivity. In Proceedings of the SilviLaser Conference 2021 (pp. 337–339). https://doi.org/10.34726/wim.2028, opens an external URL in a new window

Tienaho, N., Saarinen, N., Yrttimaa, T., Luoma, V., Honkavaara, E., Viljanen, N., Huuskonen, S., & Hynynen, J. (2021). Examining Structural Complexity of Scots Pine Trees – A Comparison between Terrestrial Laser Scanning and Photogrammetric Point Clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 13–15). https://doi.org/10.34726/wim.1881, opens an external URL in a new window

Tockner, A., Ritter, T., Gollob, C., & Nothdurft, A. (2021). Tree Crown Segmentation and Morphological Modelling of Personal Laser Scanning Data. In Proceedings of the SilviLaser Conference 2021 (pp. 92–94). https://doi.org/10.34726/wim.1926, opens an external URL in a new window

Tompalski, P., White, J., Coops, N., Wulder, M., Leboeuf, A., Sinclair, I., Butson, C., & Lemonde, M.-O. (2021). Characterizing precision benchmarks for stand height and cover estimates derived from existing, conventional, stand-level, photo-based forest inventories. In Proceedings of the SilviLaser Conference 2021 (pp. 319–319). https://doi.org/10.34726/wim.2022, opens an external URL in a new window

Urbazaev, M., Hess, L., Sato, L., Ometto, J., Thiel, C., Dubois, C., Adam, M., & Schmullius, C. (2021). Accuracy assessment of terrain and canopy height estimates from ICESat-2 and GEDI LiDAR missions in temperate and tropical forests: first results. In Proceedings of the SilviLaser Conference 2021 (pp. 213–215). https://doi.org/10.34726/wim.1984, opens an external URL in a new window

Valbuena, R., Adnan, S., Maltamo, M., Mehtätalo, L., Ammaturo, R., & Lovejoy, T. (2021). Moving on from Foliage Height Diversity: determining maximum entropy in 3-dimensional variables. In Proceedings of the SilviLaser Conference 2021 (pp. 316–318). https://doi.org/10.34726/wim.2021, opens an external URL in a new window

Varvia, P., Räty, J., Korhonen, L., & Packalen, P. (2021). Gaussian Process Regression for Airborne Laser Scanning Based Forest Inventory: Validation and Parameter Selection. In Proceedings of the SilviLaser Conference 2021 (pp. 98–100). https://doi.org/10.34726/wim.1928, opens an external URL in a new window

Verhoeven, V. B., Åkerblom, M., & Raumonen, P. (2021). Quantifying TLS Data and Diameter Estimation Uncertainty. In Proceedings of the SilviLaser Conference 2021 (pp. 111–113). https://doi.org/10.34726/wim.1933, opens an external URL in a new window

Wang, M., Calders, K., Verbeeck, H., Van Coillie, F., De Frenne, P., Meeussen, C., Armston, J., & Stovall, A. (2021). Explore the structural diversity of forest edges using spaceborne lidar. In Proceedings of the SilviLaser Conference 2021 (pp. 129–131). https://doi.org/10.34726/wim.1939, opens an external URL in a new window

White, J., & Woods, M. (2021). Exploring the innovation potential of single photon lidar for operational large-area forest inventories. In Proceedings of the SilviLaser Conference 2021 (pp. 166–166). https://doi.org/10.34726/wim.1968, opens an external URL in a new window

Wible, R., Patki, K., Krause, K., & van Aardt, J. (2021). Toward a Definitive Assessment of the Impact of Leaf Angle Distributions on LiDAR Structural Metrics. In Proceedings of the SilviLaser Conference 2021 (pp. 307–309). https://doi.org/10.34726/wim.2018, opens an external URL in a new window

Wilkes, P., Disney, M., Dahlsjö, C. A. L., & Malhi, Y. (2021). Characterising understorey Plant Area Index with TLS. In Proceedings of the SilviLaser Conference 2021 (pp. 7–9). https://doi.org/10.34726/wim.1862, opens an external URL in a new window

Wilkes, P., Shenkin, A., Bartholomeus, H., Brede, B., Burt, A., Calders, K., Jackson, T., Lau, A., Maeda, E., Nunes, M., Terryn, L., Vicari, M. B., Verbeeck, H., Disney, M., Bentley, L., & Malhi, Y. (2021). A pan-tropical campaign to link architectural and biophysical traits. In Proceedings of the SilviLaser Conference 2021 (pp. 151–153). https://doi.org/10.34726/wim.2062, opens an external URL in a new window

Williams, P., Harding, D., Thomas, V., Wynne, R., Huemmrich, K., Ranson, K., Middleton, E., & Campbell, P. (2021). Structure-Mediated Differences in Foliar Illumination and Their Effects on Diurnal Changes in a Pine Plantation Photochemical Reflectance Index. In Proceedings of the SilviLaser Conference 2021 (pp. 331–333). https://doi.org/10.34726/wim.2026, opens an external URL in a new window

Wynne, R., Thomas, V., Miller, B. D., de Carvalho, L. T., & Schons do Valle, S. Z. (2021). Identifying Secondary Forests in the Brazilian Amazon using Spaceborne Lidar. In Proceedings of the SilviLaser Conference 2021 (pp. 343–345). https://doi.org/10.34726/wim.2030, opens an external URL in a new window

Wężyk, P., Bobrowski, R., Zięba-Kulawik, K., & Winczek, M. (2021). Can iPad Pro be as reliable as TLS for urban forest inventories? In Proceedings of the SilviLaser Conference 2021 (pp. 191–193). https://doi.org/10.34726/wim.1977, opens an external URL in a new window

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Yrttimaa, T., Luoma, V., Saarinen, N., Kankare, V., Junttila, S., Holopainen, M., Hyyppä, J., & Vastaranta, M. (2021). Terrestrial Laser Scanning Reveal Connection Between Changes in Tree Stem Dimensions and Crown Structure. In Proceedings of the SilviLaser Conference 2021 (pp. 176–178). https://doi.org/10.34726/wim.1972, opens an external URL in a new window

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Zhang, T., & Filin, S. (2021). Lead-wood separation and tree skeletonization from low resolution and noisy 3-d point clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 185–187). https://doi.org/10.34726/wim.1975, opens an external URL in a new window

Zheng, Z., Zeng, Y., Schuman, M., Schmid, B., Schaepman, M., & Morsdorf, F. (2021). Structural Diversity in a Subtropical Forest: A Comparison of Individual Tree- and Pixel-based Approaches. In Proceedings of the SilviLaser Conference 2021 (pp. 104–104). https://doi.org/10.34726/wim.1930, opens an external URL in a new window

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Zięba-Kulawik, K., Skoczylas, K., Wężyk, P., & Omrani, H. (2021). Monitoring of urban forests using 3D spatial indices based on ALS point clouds: a city-level analysis. In Proceedings of the SilviLaser Conference 2021 (pp. 194–194). https://doi.org/10.34726/wim.1978, opens an external URL in a new window

de Paula Pires, R., Holmgren, J., Olofsson, K., Lindberg, E., & Persson, H. J. (2021). Influence of distance to the sensor on stem detection with car-mounted mobile laser scanner. In Proceedings of the SilviLaser Conference 2021 (pp. 154–156). https://doi.org/10.34726/wim.1964, opens an external URL in a new window

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Formanek, M., Gruber, A., & Stradiotti, P. (2024). What is the uncertainty of the uncertainty and (why) does it matter? Propagating uncertainties of weight estimates through soil moisture data merging. In EGU General Assembly 2024. EGU General Assembly 2024, Wien, Austria. EGU. https://doi.org/10.5194/egusphere-egu24-14987, opens an external URL in a new window

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Ledermann, F. (2023, October 11). Empirisch ermittelte Minimaldimensionen für kartographische Signaturen auf Smartphones. Deutscher Kartographie Kongress 2023, Berlin, Germany.

Jachs, S., & Wagner, W. (2023, October 4). Das Copernicus Emergency Management Service – Globale Flutbeobachtung mit Sentinel-1. Austria in Space meets Staatliches Krisen- und  Katastrophenschutzmanagement: Infoday, Wien, Austria.

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Jacobs, C., de Witt, A., Gordon, D., Krasna, H., Garcia Miro, C., Johnson, M., Jung, T., Hodgson, J., McCallum, J., Kooi, J. W., & Blanchard, J. (2023, September 11). The K-band (24 GHz) Celestial Reference Frame: Current Status and Roadmap. Journeés des systemes de référence spatio-temporels 2023, Nice, France.

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Schäfer, J., Winiwarter, L. G., Weiser, H., Novotný, J., Höfle, B., Schmidtlein, S., Henninger, H., Stereńczak, K., & Fassnacht, F. (2023, September 7). Potential and limitations of simulated airborne laser scanning data for forest biomass estimation. SilviLaser 2023, London, United Kingdom of Great Britain and Northern Ireland (the).

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Takhtkeshhha, N., Mandlburger, G., Hollaus, M., Remondino, F., & Hyyppä, J. (2023, September 6). Unsupervised deep learning-based tree species mapping using multispectral airborne LiDAR data. SilviLaser 2023, London, United Kingdom of Great Britain and Northern Ireland (the).

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Mandlburger, G., Pfennigbauer, M., Schwarz, R., & Pöppl, F. (2023). A decade of progress in topo-bathymetric laser scanning exemplified by the pielach river dataset. In ISPRS Geospatial Week 2023 (pp. 1123–1130). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1123-2023, opens an external URL in a new window

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Gartner, G. (2023, August 14). Revisiting the Relevance of Cartography. 31st International Cartographic Conference (ICC 2023), Cape Town, South Africa.

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Midtbo, T., Bandrova, T., Gartner, G., Lapaine, M., Meng, L., Shen, J., Varanka, D., Voženílek, V., & Wang, T. (2023). Cartographic body of knowledge – work in progress. In S. Coetzee (Ed.), 31st International Cartographic Conference (ICC 2023). Copernicus Publications. https://doi.org/10.5194/ica-abs-6-166-2023, opens an external URL in a new window

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Böhm, J., & Wolf, H. (2023, July 18). Opportunities with VLBI transmitters on satellites. 28th IUGG General Assembly, Berlin, Germany.

Schunck, D., Wolf, H., McCallum, L., & Calvés, G. M. (2023, July 18). Practical Considerations for VLBI Satellite Tracking in View of the GENESIS Mission. 28th IUGG General Assembly 2023, Berlin, Germany.

Adavi, Z., Möller, G., & Weber, R. (2023, July 12). Tomographic reconstruction of atmospheric water vapour using a temporal variational approach during central European floods in July 2021. 28th IUGG General Assembly, Berlin, Germany.

Glaner, M. F. (2023, July 11). Satelliten, GPS und dein Handy. Kinderuni Technik 2023, Wien, Austria.

Laha, A., Böhm, J., Böhm, S., Dikshit, O., & Balasubramanian, N. (2023, July 11). Determination of Earth orientation parameters from VLBI and comparison with other space geodetic techniques. The 28th General Assembly of the International Union of Geodesy and Geophysics (IUGG), Berlin, Germany. https://doi.org/10.34726/5285, opens an external URL in a new window

Singh, S., Böhm, J., Krasna, H., Balasubramanian, N., & Dikshit, O. (2023, July). Geophysical Modelling in VLBI Analysis. 28th IUGG General Assembly, Berlin, Germany.

Wolf, H., Kern, L. M., & Mikolka-Flöry, S. (2023, July). Digitale Stadtvermessung. Kinderuni Technik 2023, Wien, Austria.

Wagner, W. (2023, June 27). Synthetic Aperture Radar for soil moisture. Trans-Atlantic Training (TAT 2023), Prag, Czechia.

Aigner, L., Roser, N. S., Moser, C., Morra di Cella, U., Hauck, C., & Flores-Orozco, A. (2023, June 22). Improved characterization of alpine permafrost by including structural constraints from transient electromagnetic data into spectral induced polarization imaging. European Conference on Permafrost 2023, Puigcerda, Spain.

Pöppl, F., Pfennigbauer, M., Ullrich, A., & Pfeifer, N. (2023). Trajectory estimation with GNSS, IMU and LiDAR for terrestrial/kinematic laser scanning. In G. W. Kamerman, L. A. Magruder, & M. D. Turner (Eds.), Laser Radar Technology and Applications XXVIII. SPIE. https://doi.org/10.34726/4662, opens an external URL in a new window

Wild, B., Verhoeven, G. J., & Pfeifer, N. (2023, June 15). Towards an automated detection of changes in the urban chameleon skin. goINDIGO 2023 international graffiti symposium: disseminate | analyse | understand graffiti-scapes, Vienna, Austria.

Jaron, F. F. D. (2023, June 14). Cross-polarization bandpasses of VGOS Antennas. 26th EVGA Working Meeting & 24th IVS Analysis Workshop, Bad Kötzting, Germany.

Kattenbeck, M. (2023, June 7). PLS-SEM. Basics and Select Issues in Application. QMSS Methods Workshop 2023, Santa Barbara, United States of America (the).

Krásná, H., McCallum, L., & McCarthy, T. (2023). The benefits of the Australian mixed-mode program (2018 - 2023) for the celestial reference frame at S/X-band. In 26th European VLBI Group for Geodesy and Astronomy Working Meeting. Information and book of abstracts (pp. 34–34). https://doi.org/10.34726/4482, opens an external URL in a new window

Laha, A., Böhm, J., Böhm, S., Dikshit, O., & Balasubramanian, N. (2023). Comparison between VLBI and other space geodetic techniques for determining Earth orientation parameters. In 26th European VLBI Group for Geodesy and Astronomy Working Meeting. Information and book of abstracts (pp. 37–37). https://doi.org/10.34726/4781, opens an external URL in a new window

Wolf, H., Böhm, J., & Hugentobler, U. (2023). Absolute orientation of Galileo orbits from simulated VLBI and GNSS observations. In 26th European VLBI Group for Geodesy and Astronomy Working Meeting. Information and book of abstracts (pp. 70–70). https://doi.org/10.34726/4783, opens an external URL in a new window

de Witt, A., Gordon, D., Jacobs, C., Krásná, H., Garcia Miro, C., Johnson, M., McCallum, J., Jung, T., & Hodgson, J. (2023). The K-band (24 GHz) Celestial Reference Frame: Current Status and Roadmap. In 26th European VLBI Group for Geodesy and Astronomy Working Meeting. Information and book of abstracts (pp. 9–9). https://doi.org/10.34726/4461, opens an external URL in a new window

de Witt, A., Jacobs, C., Bietenholz, M., Gordon, D., Nickola, M., Hunt, L., Johnson, M., Krásná, H., & Mwiya, N. (2023). Imaging, modelfitting and source structure corrections for the K-band (24 GHz) Celestial Reference Frame. In 26th European VLBI Group for Geodesy and Astronomy Working Meeting. Information and book of abstracts (pp. 10–10). https://doi.org/10.34726/4481, opens an external URL in a new window

Moser, C., Roser, N. S., Keller, S., Radlbauer, D., Morra di Cella, U., Hauck, C., & Flores-Orozco, A. (2023, June). 3D Spectral Induced Polarization for the estimation of ice content and hydraulic properties in an active rock glacier. European Conference on Permafrost 2023, Puigcerda, Spain.

Wild, B., Verhoeven, G. J., & Pfeifer, N. (2023). Tracking the urban chameleon - towards a hybrid change detection of graffiti. In Volume X-M-1-2023, 2023 | 29th CIPA Symposium “Documenting, Understanding, Preserving Cultural Heritage. Humanities and Digital Technologies for Shaping the Future” (pp. 285–292). ISPRS, Copernicus Publications. https://doi.org/10.5194/isprs-annals-X-M-1-2023-285-2023, opens an external URL in a new window

Ignateva, O., Gavrilova, S., & Moser, J. (2023, May 31). Imperial Spatiality in Early Soviet Maps. Conquering the World through Cartography. The Imperialist Turn in 19th and 20th Century Mapping, Brussels, Belgium.

Cortesi, I., Masiero, A., Pfeifer, N., & Tucci, G. (2023). On the co-registration of asynchronous multi-spectral and thermal images. In A. Guarnieri, A. Masiero, F. Pirotti, & A. Vettore (Eds.), 12th International Symposium on Mobile Mapping Technology (MMT 2023) (pp. 101–106). Copernicus Publications. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-101-2023, opens an external URL in a new window

Kattenbeck, M. (2023, May 25). Geographic-Aware Augmented Reality. UCSB, Geography Department Colloquium, Santa Barbara, United States of America (the).

Pfeifer, N. (2023, May 25). A Focus on the Trajectory in Lidar Mobile Mapping. The 12th International Symposium on Mobile Mapping Technology (MMT 2023), Padua, Italy.

Pöppl, F., Teufelsbauer, H., Ullrich, A., & Pfeifer, N. (2023). Mobile Laser Scanning with Low-Cost Navigation Sensors. In A. Guarnieri, A. Masiero, F. Pirotti, & A. Vettore (Eds.), 12th International Symposium on Mobile Mapping Technology (MMT 2023) (pp. 403–410). Copernicus Publications. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-403-2023, opens an external URL in a new window

Sivarasa, I., Rajavarathan, J., Retscher, G., Abeyratne, V., Dammalage, T., Gabela, J., & Gikas, V. (2023). Performance Assessment of Positioning Solutions of Different Mobile Devices Using Kalman Filtering. In A. Guarnieri, A. Masiero, F. Pirotti, & A. Vettore (Eds.), Volume XLVIII-1/W1-2023, 2023 | ISPRS TC I (WG I/2). 12th International Symposium on Mobile Mapping Technology (MMT 2023) (pp. 451–456). https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-451-2023, opens an external URL in a new window

Gabela, J., & Retscher, G. (2023). Interdisciplinary Approach to Curricula Development in Geomatics Education: Erasmus+ LBS2ITS Project. In W. Chen, L. Halounová, S. Kumar, & W. Yao (Eds.), Volume X-5/W1-2023, 2023 | ISPRS TC V International Conference on Geomatics Education – Challenges and Prospects (ICGE22) (pp. 19–26). ISPRS, Copernicus Publications. https://doi.org/10.5194/isprs-annals-X-5-W1-2023-19-2023, opens an external URL in a new window

Krásná, H. (2023). Celebrating 40 years of astrometric and geodetic VLBI data – a solid foundation for celestial and terrestrial reference frames. In Bologna VLBI : Life begins at 40! Abstract booklet (pp. 19–20). INAF Istituto Nazionale de Astrofisica. https://doi.org/10.34726/4381, opens an external URL in a new window

Retscher, G. (2023, May 19). Assessment of a Dual Frequency Multi-GNSS Smartphone. Seminar on: Assessment of a Dual Frequency Multi-GNSS Smartphone (Guest Lecture) 2023, Florenz, Italy.

Gartner, G. (2023). Experiences from several Erasmus + Education Projects. In International Conference on Geomatics Education - Conference Abstract Proceedings (pp. 7–11).

Gartner, G. (2023, May 11). Experiences from several Erasmus + Education Projects. International Conference on Geomatics Education 2023, Hong Kong, China.

Wagner, W. (2023). Erfassung von klimarelevanten Prozessen mittels Radarfernerkundung. In Tagungsband 14. Geodätentag - Steyr 2023 (pp. 36–36). Österreichische Gesellschaft für Vermessung und Geoinformation.

Glaner, M. F., & Weber, R. (2023, May 10). Precise Point Positioning with high-quality and low-cost GNSS data. 14. Österreichischer Geodätentag 2023, Steyr, Austria.