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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

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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

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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

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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

Flores-Orozco, A., Ciampi, P., Katona, T., Censini, M., Papini, M. P., Deidda, G. P., & Cassiani, G. (2021). Delineation of hydrocarbon contaminants with multi-frequency complex conductivity imaging. Science of the Total Environment, 768(144997), 144997. https://doi.org/10.1016/j.scitotenv.2021.144997

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

Gartner, G. (2021). Seeing the “perfect world” through Heinrich Berann’s Panorama Map of the Alps. International Journal of Cartography, 7(2), 240–244. https://doi.org/10.1080/23729333.2021.1912887

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Gotlib, D., Olszewski, R., & Gartner, G. (2021). The Extended Concept of the Map in View of Modern Geoinformation Products. ISPRS International Journal of Geo-Information, 10(3), 142. https://doi.org/10.3390/ijgi10030142

Greifeneder, F., Notarnicola, C., & Wagner, W. (2021). A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine. Remote Sensing, 13(11), 2099. https://doi.org/10.3390/rs13112099

Gruber, J., Nothnagel, A., & Böhm, J. (2021). VieRDS: A Software to Simulate Raw Telescope Data for very Long Baseline Interferometry. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 133(1022), 044503. https://doi.org/10.1088/1538-3873/abeca4

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

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

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

Horvath, S., Soot, M., Zaddach, S., Neuner, H., & Weitkamp, A. (2021). Deriving adequate sample sizes for ANN-based modelling of real estate valuation tasks by complexity analysis. Land Use Policy, 107(105475), 105475. https://doi.org/10.1016/j.landusepol.2021.105475

Jaradat, A., Jaron, F., Gruber, J., & Nothnagel, A. (2021). Considerations of VLBI transmitters on Galileo satellites. Advances in Space Research, 68(3), 1281–1300. https://doi.org/10.1016/j.asr.2021.04.048

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Katona, T., Gilfedder, B. S., Frei, S., Bücker, M., & Flores-Orozco, A. (2021). High-resolution induced polarization imaging of biogeochemical carbon turnover hotspots in a peatland. Biogeosciences, 18(13), 4039–4058. https://doi.org/10.5194/bg-18-4039-2021

Knoflach, B., Ramskogler, K., Talluto, M., Hofmeister, F., Haas, F., Heckmann, T., Pfeiffer, M., Piermattei, L., Ressl, C., Wimmer, M. H., Geitner, C., Erschbamer, B., & Stötter, J. (2021). Modelling of Vegetation Dynamics from Satellite Time Series to Determine Proglacial Primary Succession in the Course of Global Warming-A Case Study in the Upper Martell Valley (Eastern Italian Alps). Remote Sensing, 13(21), 4450. https://doi.org/10.3390/rs13214450

Krásná, H., & Petrov, L. (2021). The use of astronomy VLBA campaign MOJAVE for geodesy. Journal of Geodesy, 95(101). https://doi.org/10.1007/s00190-021-01551-3

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Kubáň, M., Parajka, J. D., Tong, R., Greimeister-Pfeil, I., Vreugdenhil, M., Sleziak, P., Szolgay, J., Kohnová, S., & Hlavčová, K. (2021). Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model. Water, 13(23), 3366. https://doi.org/10.3390/w13233366

Li, N., Kähler, O., & Pfeifer, N. (2021). A Comparison of Deep Learning Methods for Airborne Lidar Point Clouds Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 6467–6486. https://doi.org/10.1109/jstars.2021.3091389

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

Massari, C., Modanesi, S., Dari, J., Gruber, A., De Lannoy, G. J. M., Girotto, M., Quintana-Seguí, P., Le Page, M., Jarlan, L., Zribi, M., Ouaadi, N., Vreugdenhil, M., Zappa, L., Dorigo, W., Wagner, W., Brombacher, J., Pelgrum, H., Jaquot, P., Freeman, V., … Brocca, L. (2021). A Review of Irrigation Information Retrievals from Space and Their Utility for Users. Remote Sensing, 13(20), 4112. https://doi.org/10.3390/rs13204112

McCutchan, M., Comber, A., Giannopoulos, I., & Canestrini, M. (2021). Semantic Boosting: Enhancing Deep Learning Based LULC Classification. Remote Sensing, 13(16), 3197. https://doi.org/10.3390/rs13163197

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

Mikschi, M., Böhm, J., & Schartner, M. (2021). Unconstrained Estimation of VLBI Global Observing System Station Coordinates. Advances in Geosciences, 55, 23–31. https://doi.org/10.5194/adgeo-55-23-2021

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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

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

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

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

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Sharma, R., Massi, M., Chernyakova, M., Malyshev, D., Perrott, Y. C., Kraus, A., Dzib, S. A., Jaron, F., & Cantwell, T. M. (2021). Radio/X-ray correlations and variability in the X-ray binary LS I +61°303. Monthly Notices of the Royal Astronomical Society, 500(3), 4166–4172. https://doi.org/10.1093/mnras/staa3557

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

Stähli, L., Giannopoulos, I., & Raubal, M. (2021). Evaluation of pedestrian navigation in Smart Cities. Environment and Planning B: Urban Analytics and City Science, 48(6), 1728–1745. https://doi.org/10.1177/2399808320949538

Teubner, I. E., Forkel, M., Wild, B., Mösinger, L., & Dorigo, W. (2021). Impact of temperature and water availability on microwave-derived gross primary production. Biogeosciences, 18(11), 3285–3308. https://doi.org/10.5194/bg-18-3285-2021

Thalmann, T., & Neuner, H. (2021). Temporal calibration and synchronization of robotic total stations for kinematic multi-sensor-systems. Journal of Applied Geodesy, 15(1), 13–30. https://doi.org/10.1515/jag-2019-0070

Tong, R., Parajka, J., Salentinig, A., Pfeil, I., Komma, J., Széles, B., Kubáň, M., Valent, P., Vreugdenhil, M., Wagner, W., & Blöschl, G. (2021). The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model. Hydrology and Earth System Sciences, 25(3), 1389–1410. https://doi.org/10.5194/hess-25-1389-2021

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Wagner, W., Bauer-Marschallinger, B., Navacchi, C., Reuß, F., Cao, S., Reimer, C., Schramm, M., & Briese, C. (2021). A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications. Remote Sensing, 13(22), 4622. https://doi.org/10.3390/rs13224622

Walicka, A., Pfeifer, N., Borkowski, A., & Jóźków, G. (2021). An automatic method for the measurement of coarse particle movement in a mountain riverbed. Measurement, 174(109029), 109029. https://doi.org/10.1016/j.measurement.2021.109029

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Zappa, L., Schlaffer, S., Bauer-Marschallinger, B., Nendel, C., Zimmerman, B., & Dorigo, W. (2021). Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture. Remote Sensing, 13(9), 1727. https://doi.org/10.3390/rs13091727

van der Schalie, R., Scanlon, T. M., Preimesberger, W., Pasik, A., van der Vliet, M., Mösinger, L., Rodriguez-Fernandez, N., Madelon, R., Hahn, S., Hirschi, M., Kidd, R., De Jeu, R., & Dorigo, W. (2021). Soil Moisture. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 102(8), S67–S68. https://doi.org/10.1175/2021BAMSStateoftheClimate.1

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

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Cao, J., Tang, G., Fang, X., Liu, Y., Zhu, Y., Li, J., & Wagner, W. (2020). Identification of Active Gully Erosion Sites in the Loess Plateau of China Using MF-DFA. Remote Sensing, 12(3). https://doi.org/10.3390/rs12030589

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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

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

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

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

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

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

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

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

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

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

Ivanovs, J., Lazdins, A., & Lang, M. (2021). The Effect of Tree Species and Seasonality on Forest Height Measurements Using an Aerial Laser Scanner – A Case Study in Latvia. In Proceedings of the SilviLaser Conference 2021 (pp. 253–254). https://doi.org/10.34726/wim.2001

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Saarinen, N., Yrttimaa, T., Kankare, V., Luoma, V., Pyörälä, J., Bianchi, S., Huuskonen, S., Hynynen, J., Holopainen, M., Hyyppä, J., & Vastaranta, M. (2021). Crown shape and size of Scots pine affected by thinning? In Proceedings of the SilviLaser Conference 2021 (pp. 117–119). https://doi.org/10.34726/wim.1935

Sagar, A., Véga, C., Piédallu, C., Bouriaud, O., & Renaud, J.-P. (2021). High Resolution Mapping of Forest Resources and Prediction Uncertainty using Multisource Inventory Approach. In Proceedings of the SilviLaser Conference 2021 (pp. 219–221). https://doi.org/10.34726/wim.1986

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Xiong, H., Pang, Y., Jia, W., & Bai, Y. (2021). Forest Stand Delineation Using Airborne LiDAR and Hyperspectral Data. In Proceedings of the SilviLaser Conference 2021 (pp. 216–218). https://doi.org/10.34726/wim.1985

Yang, W., Disney, M., Wilkes, P., & Vicari, M. B. (2021). Assessing Approaches to 3D Tree Reconstruction from Terrestrial Laser Scanning Data. In Proceedings of the SilviLaser Conference 2021 (pp. 74–76). https://doi.org/10.34726/wim.1920

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

Zhang, S., Véga, C., Bouriaud, O., Durrieu, S., & Renaud, J.-P. (2021). Unit-level Small Area Estimation of Forest Inventory with GEDI Auxiliary Information. In Proceedings of the SilviLaser Conference 2021 (pp. 136–138). https://doi.org/10.34726/wim.1941

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

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

Zhu, Z., Kleinn, C., & Nölke, N. (2021). Towards Tree Green Crown Volume: A Methodological Approach using Terrestrial Laser Scanning. In Proceedings of the SilviLaser Conference 2021 (pp. 47–49). https://doi.org/10.34726/wim.1911

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Matthias, S., Clemens, M., & Adrian, F.-O. (2024, December 10). Temperature-dependent groundwater quantification through petrophysically-coupled fusion of geophysical data. AGU annual meeting 2024, Washington, D.C., United States of America (the).

LAHA, A., Schartner, M., Soja, B., Böhm, J., Balasubramanian, N., & Dikshit, O. (2024, December 9). Evaluating Intensive Baseline Precision with a Future Indian VGOS Telescope: A Comparative Study. AGU Fall Meeting 2024, Washington, United States of America (the).

Singh, S., Böhm, J., Krasna, H., Balasubramanian, N., & Dikshit, O. (2024, December 9). Statistical Analysis of Five Years of VGOS Observations with Geophysical Loading Corrections. AGU Fall Meeting 2024, Washington, D.C., United States of America (the).

Wagner, W. (2024, December 9). Was uns Mikrowellensatelliten über den Klimawandel sagen. Der Blick auf die Erde: Was lernen wir daraus?, Wien, Austria.

Wagner, W., Lindorfer, R., Raml, B., Schobben, M., Kim, H., & Ullmann, T. (2024, December 9). Global scale mapping of subsurface scattering signals impacting scatterometer and SAR soil moisture retrievals. AGU annual meeting 2024, Washington, D.C., United States of America (the).

Carrera, A., Barone, I., & Roser, N. (2024, December 6). Codici per l’elaborazione dei dati sismici di onde superficiali. XXI Workshop di Geofisica | Tra geologia e geofisica 2024, Italy.

Akalovic, K., Bauer, G., Adavi, Z., & Möller, G. (2024, December 5). Use of reflected GNSS SNR data to monitor vegetation height. AHORN 2024, Schladming, Austria.

Bauer, G., & Möller, G. (2024, December 5). Optimierung der GNSS-Positionierung von Drohnen durch die Einführung einer elevationsresistenten Mapping Funktion. AHORN 2024, Schladming, Austria.

Hanna, N., & Möller, G. (2024, December 5). The effects of the May 2024 solar storm on PNT users in Austria. AHORN 2024, Schladming, Austria.

Cegla, A., Möller, G., Rohm, W., Kryza, M., Taszarek, M., & Hordyniec, P. (2024). Application of GNSS Integrated Tomography (INTOMO) in severe weather monitoring. In 2024-Proceedings_Galileo-colloquium. 9th International Colloquium on Scientific and Fundamental Aspects of GNSS, Poland. https://doi.org/10.57780/esa-0yq5l8b

Makuch Sebastian, Cegla, A., Rohm, W., Adavi, Z., Hanna, N., Hordyniec, P., Möller, G., & Sośnica, K. (2024). Simulation of GNSS LEO satellites constellation for 3D water vapor monitoring. In 2024-Proceedings_Galileo-colloquium. 9th International Colloquium on Scientific and Fundamental Aspects of GNSS, Wrocław, Poland. https://doi.org/10.57780/esa-0yq5l8b

Dorigo, W. A. (2024, November 26). Summary of Round Robin results. ESA Hydrology Science Cluster collocation meeting 2024, Frascati, Italy.

Büechi, E. (2024, November 25). Lightning talk YIPEEO. ESA Hydrology Science Cluster collocation meeting, Frascati, Italy.

Büechi, P. E., & Dorigo, W. A. (2024, November 25). Yield Prediction and Estimation from Earth Observation. ESA Hydrology Science Cluster Meeting, Frascati, Italy.

Dorigo, W. A. (2024, November 25). Lightning talk ESA CCi Soil Moisture. ESA Hydrology Science Cluster collocation meeting 2024, Frascati, Italy.

Geewe, L. G. (2024, November 18). AR in Mathematics Education - A New Approach. ATHENA Colloquial Talks in Mathematics Teaching  Science, 2nd Round (2024), Petridis, Greece.

Aigner, L., & Flores-Orozco, A. (2024). Geophysical characterization of an industrial landfill to quantify raw materials and detect possible leakages. In R. Pomberger (Ed.), Recy & DepoTech 2024: Vorträge-Konferenzband zur 17. Recy & DepoTech-Konferenz (pp. 711–716). Abfallverwertungstechnik & Abfallwirtschaft Eigenverlag.

Haberle, V., Bailey, R. L., Möstl, C., Weiler, E., Amersdorfer, U., Amersdorfer, T., Pfoser, A., Schornböck, P., Schachinger, P., Nakamura, R., Hyangpyo, K., Fischer, D., Latocha, M., Krauss, S., Fröhlich, A., Möller, G., Pötzi, W., Temmer, M., & Leonhardt, R. (2024, November 7). Space Weather Observations, Forecasts and Impacts in Austria during the May 2024 event. European Space Weather Week, Coimbra, Portugal.

Gruber, A. (2024, November 5). Fiducial Reference Measurements for Soil Moisture (FRM4SM) and their contribution to SMOS science. SMOS Science Conference & 15 Year Anniversary 2024, Catania, Italy.

Dorigo, W. A. (2024, November 4). Using SMOS in climate data records: what have we learned, what do we need next?. SMOS Science Conference & 15 Year Anniversary 2024, Catania, Italy.

Jaron, F. F. D. (2024, October 24). Long-term monitoring of the TeV-emitting binary star LS I +61°303 at multiple wavelengths. Special Seminar, MIT Haystack Observatory, United States of America (the).

Roth, F., & Stachl, T. (2024, October 24). GFM Improving Satellite-based Flood Monitoring Stability and Accessibility. 19th EFAS Annual Meeting, Norrköping, Sweden.

Jaron, F. F. D., & Bernhart, S. (2024, October 23). VGOS Phase Cal Performance at High Frequencies. 9th International VLBI Technology Workshop, MIT Haystack Observatory, United States of America (the).

Jaron, F. F. D., Marti-Vidal, I., Schartner, M., Gonzalez Garcia, J., Ezequiel Albentosa, Bernhart, S., Böhm, J., Modiri, S., Nothnagel, A. G., Pérez‐Díez, V., Savolainen, T., Soja, B., Varenius, E., Xu, M., & Cheung, C. (Teddy). (2024, October 23). Cross-polarization Gain Calibration of VGOS Antennas. 9th International VLBI Technology Workshop, MIT Haystack Observatory, United States of America (the).

Jaron, F. F. D. (2024, October 22). A Source Structure Correction Tool for VLBI Visibility Data. 9th International VLBI Technology Workshop, Massachusetts, United States of America (the).

Jaron, F. F. D. (2024, October 17). Mitigating Source-Structure in Geodetic Level-1 VLBI Data. NASA VLBI seminar, NASA Goddard Space Flight Center, United States of America (the).

Möller, G. (2024, October 17). Zukunft von GNSS. EPOSA Anwendertreffen 2024, Vienna, Austria.

Böhm, J. (2024, October 11). Genesis: IAG and ESA cooperation for mission success. GGOS Days 2024, Potsdam, Germany.

Brandstätter, M., Mikschi, M., Gabela, J., Linzer, F., & Neuner, H.-B. (2024). Uncertainty Assessment of Poses Derived from Automatic Point Cloud Registration in the Context of Stop-and-Go Multi Sensor Robotic Systems. In 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2024), Pilsen, Czechia. IEEE. https://doi.org/10.1109/MFI62651.2024.10705770

Kern, L. M., Wolf, H., & Böhm, J. (2024, October 7). Which accuracy do we need for the VLBI transmitter on Genesis?. 2nd IAG Genesis Working Group Meeting, Austria.

Gaona, J., Brocca, L., Bavera, D., Fioravanti, G., Filipucci, P., Mossaffa, H., Puca, S., Roberto, N., Stradiotti, P., & Hahn, S. (2024, October 3). Challenges in open data for soil moisture monitoring. Open-Earth Monitor Global Workshop 2024, Laxenburg, Austria.

Wagner, W. (2024, October 3). Towards a multi-frequency SAR datacube for global monitoring of dynamic land surface processes. Open-Earth Monitor Global Workshop 2024, Laxenburg, Austria.

Mandlburger, G. (2024, October 1). Sensors for UAV based Remote Sensing: LiDAR. Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation 2024, Köln, Germany.

Böhm, J., Wolf, H., & Kern, L. M. (2024, September 26). Improving the Terrestrial Reference Frame with Genesis  - a VLBI Perspective. 9th International Colloquium on Scientific and Fundamental Aspects of GNSS, Wroclaw, Poland.

Brocca, L., Ciabatta, L., Hahn, S., Fairbairn, D., Gabellani, S., & Puca, S. (2024, September 25). Operational H SAF satellite precipitation and soil moisture products for hydrological application in Africa. EO for Africa Symposium 2024, Rom, Italy.

Hugentobler, U., Duan, B., Thaller, D., Bloßfeld, M., Wolf, H., & Böhm, J. (2024, September 25). TRF Combination with GENESIS –  The Different Levels of Rigorousness. 9th International Colloquium on Scientific and Fundamental Aspects of GNSS, Poland.

Villegas-Lituma, C., Massart, S. J. A., Vreugdenhil, M., Hahn, S., Muguda Sanjeevamurthy, P., & Wagner, W. (2024, September 25). High-resolution drought monitoring with Sentinel-1 and ASCAT data: A case-study over Mozambique. EO for Africa Symposium 2024, Rom, Italy.

Mandlburger, G. (2024, September 24). UAV Laser Scanning: Design and concepts - an overview. Unmanned Systems Workshop at Intergeo 2024, Stuttgart, Germany.

Pöppl, F. (2024, September 24). Fundamentals of LiDAR sensor calibration and orientation. Unmanned Systems Workshop at Intergeo 2024, Stuttgart, Germany.

Filippucci, P., Mosaffa, H., Gaona, J., Ciabatta, L., Hahn, S., Massari, C., & Brocca, L. (2024, September 23). Rainfall estimation in the African continent: Satellite data against observations. EO for Africa Symposium 2024, Rom, Italy.

Gaona, J., Brocca, L., Filippucci, P., Bavera, D., Fioravanti, G., Mosaffa, H., Liaqat, M. U., Wagner, W., Dorigo, W. A., Vreugdenhil, M., Hahn, S., Stradiotti, P., Puca, S., & Roberto, N. (2024, September 23). Intercomparison of remote sensing and soil moisture modelling products for operational drought monitoring over Africa. EO for Africa Symposium 2024, Rom, Italy.

Ötsch, E., & Neuner, H.-B. (2024). Space continuous deformation analysis of masonry structures based on TLS point clouds emphasizing the influence of the surfaces‘ geometric structure. In Sensing Mountains : Innsbruck Summer School of Alpine Research 2024 – Close Range Sensing Techniques in Alpine Terrain (pp. 113–116). Innsbruck University Press.

Gruber, A., Bircher, S., Crapolicchio, R., Zboril, M., MeteoSwiss Team, & FRM4SM and SoMMet consortia. (2024, September 16). Towards traceable soil moisture measurements across scales: European collaborations and future directions. 1st CIPM STG-CENV Stakeholder meeting 2024, Sèvres, France.

Nothnagel, A. G., Böhm, J., & Jaron, F. F. D. (2024, September 9). Nearfield VLBI to ESA Satellite Genesis - A new task for DiFX. 16th DiFX Users and Developers Meeting, Wien, Austria.

Roth, F., & Wagner, W. (2024, September 4). Global Flood Monitoring and the EU-Copernicus Emergency Management Services as satellite-based high-resolution flood mapping. TAIEX Study Visit on nature-based solutions in flood risk management 2024, Wien, Austria.

Jaron, F. F. D., Baldreich, L., Böhm, J., Charlot, P., Collioud, A., Gruber, J. F., Krasna, H., Marti-Vidal, I., Nothnagel, A. G., & Pérez‐Díez, V. (2024, September 2). Mitigating Source Structure in Geodetic VLBI on the Visibility Level. 16th European VLBI Network Symposium and Users’ Meeting, Bonn, Germany.

Makuch Sebastian, Rohm, W., Cegla, A., Sośnica, K., Hordyniec, P., Möller, G., Adavi, Z., & Hanna, N. (2024, September 2). Optimizing LEO Satellite Constellations for 3D Water Vapor Monitoring. 17th Pico-and Nanosatellite Workshop, Berlin, Germany.

Möller, G., Alexander Wolf, Willibald Viehweider, Bauer, G., Lukas Müller, Soja, B., & Rothacher, M. (2024, September 2). Commercial off-the-shelf GNSS technology in space: Evaluating feasibility and limits. 17th Pico-and Nanosatellite Workshop in Berlin, Berlin, Germany.

Alinaghi, N., & Giannopoulos, I. (2024). Wayfinding Stages: The Role of Familiarity, Gaze Events, and Visual Attention. In B. Adams, A. L. Griffin, S. Scheider, & G. McKenzie (Eds.), 16th International Conference on Spatial Information Theory (COSIT 2024). Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.COSIT.2024.1

Canestrini, M., Gogousou, I., Michail, D., & Giannopoulos, I. (2024). Revealing Differences in Public Transport Share Through District-Wise Comparison and Relating Them to Network Properties. In B. Adams, A. L. Griffin, S. Scheider, & G. D. McKenzie (Eds.), 16th International Conference on Spatial Information Theory (COSIT 2024). Schloss Dagstuhl -- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.COSIT.2024.10

Cybulski, P., & Ledermann, F. (2024). Graphical similarity of cartographic symbols in a map-based search task. In European Cartographic Conference – EuroCarto 2024. European Cartographic Conference – EuroCarto 2024, Wien, Austria. https://doi.org/10.5194/ica-abs-7-27-2024

Jobst, M., Ceballos Cantú, J. P., Twaroch, F., & Gartner, G. (2024). Approaching geospatial trustworthiness with graph algorithms and maps. In European Cartographic Conference – EuroCarto 2024. European Cartographic Conference – EuroCarto 2024, Wien, Austria. https://doi.org/10.5194/ica-abs-7-63-2024

Laval, L., & Ledermann, F. (2024). Building Facade Colors for Urban Navigation. In European Cartographic Conference – EuroCarto 2024. European Cartographic Conference – EuroCarto 2024, Wien, Austria. https://doi.org/10.5194/ica-abs-7-82-2024

Takhtkeshha, N., Bayrak, O. C., Mandlburger, G., Remondino, F., Kukko, A., & Hyyppä, J. (2024). Automatic Annotation Of 3D Multispectral LiDAR Data For Land Cover Classification. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 8645–8649). https://doi.org/10.1109/IGARSS53475.2024.10642907

Wang, W., Huang, H., & Gartner, G. (2024). Supporting Spatial Learning with the Indoor Sign InteGrated Navigation System. In European Cartographic Conference – EuroCarto 2024. European Cartographic Conference – EuroCarto 2024, Wien, Austria. https://doi.org/10.5194/ica-abs-7-183-2024

Soja, B., de Witt, A., Iten, M., Rüegg, A., Schartner, M., Krasna, H., & Nickola, M. (2024). KOSMIC: K-band VLBI Observations with Improved Scheduling and Ionospheric Corrections. In XXXII IAU General Assembly Abstract Book (pp. 1164–1164).

Alinaghi, N., Canestrini, M., Gogousou, I., & Giannopoulos, I. (2024, July 14). Evaluating Mobility-Friendly Regions: An Algorithmic Look at Urban Mobility. 17th International Conference on Travel Behavior Research, Wien, Austria.

Canestrini, M., Alinaghi, N., Gogousou, I., & Giannopoulos, I. (2024, July 14). Public Transport Mobility Index in Simple Terms - An OpenStreetMap Approach. 17th International Conference on Travel Behavior Research, Wien, Austria.

Böhm, J., & Wolf, H. (2024). Opportunities with VLBI Transmitters on Satellites. In International Association of Geodesy Symposia (pp. 1–6). Springer. https://doi.org/10.1007/1345_2024_240

Laha, A., Böhm, J., Böhm, S., Krásná, H., Balasubramanian, N., & Dikshit, O. (2024). Impact of Free Core Nutation Modeling on the Estimation of Earth Rotation Parameters from Different VLBI Session Types. In International Association of Geodesy Symposia (p. 1). Springer Verlag. https://doi.org/10.1007/1345_2024_248

Singh, S., Böhm, J., Krásná, H., Balasubramanian, N., & Dikshit, O. (2024). Geophysical Loading Correction Comparison and Assessment in VLBI Analysis. In International Association of Geodesy Symposia (pp. 1–10). Springer. https://doi.org/10.1007/1345_2024_257

Tupas, M. E., Roth, F., Bauer-Marschallinger, B., & Wagner, W. (2024). Assessing Global Hand Datasets as Priors for SAR-Based Bayesian Flood Mapping. In Proceedings IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 1209–1213). https://doi.org/10.1109/IGARSS53475.2024.10641043

Böhm, J., Wolf, H., Kern, L. M., & Hugentobler, U. (2024, July 2). From GENESIS to GNSS: What Are The Opportunities With VLBI Transmitters On Satellites?. IGS 2024 Workshop, Bern, Switzerland.

Adavi, Z., & Möller, G. (2024, July). Assessment Of Intense Rainfall Detection Using PWV And SNR Variations. IGS 2024 Workshop, Astronomical Institute of the University of Bern, Switzerland. https://doi.org/10.34726/6901

Wagner, W. (2024, June 28). Global scale analysis of Sentinel-1 satellite data at the Earth Observation Data Centre. GEO-OPEN-HACK-2024, Laxenburg, Austria.

Binn, A., & Gartner, G. (2024, June 26). Digital map usage and the impact of situational contexts and emotions on information needs. Spatial Cognition Conference 2024, Dublin, Ireland.

Wang, W., Huang, H., & Gartner, G. (2024, June 26). Enhancing spatial learning during navigation by integrating signs into indoor navigation services. Spatial Cognition Conference 2024, Dublin, Ireland.

Böhm, J. (2024, June 18). Genesis. OVN Get-together, Wien, Austria.

Gartner, G. (2024, June 17). About the default nature of maps. 9th International Conference on Cartography and GIS (2024), Nessebar, Bulgaria.

Calantropio, A., Menna, F., Skarlatos, D., Balletti, C., Mandlburger, G., Agrafiotis, P., Chiabrando, F., Lingua, A. M., Giaquinto, A., & Nocerino, E. (2024, June 12). Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”. ISPRS Technical Commission II Symposium 2024, Las Vegas, United States of America (the).

Arav, R., Ressl, C., Weiss, R., Artz, T., & Mandlburger, G. (2024). Evaluation of Active and Passive UAV-Based Surveying Systems for Eulittoral Zone Mapping. In A. Yilmaz, J. D. Wegner, & R. Qin (Eds.), Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 9–16). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-9-2024

Grömer, M., Nocerino, E., Calantropio, A., Menna, F., Dreier, A., Winiwarter, L., & Mandlburger, G. (2024). High-detail and low-cost underwater inspection of large-scale hydropower dams. In Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 115–120). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-115-2024

Mulsow, C., Sardemann, H., Gueguen, L.-A., Mandlburger, G., & Maas, H.-G. (2024). Concepts for compensation of wave effects when measuring through water surfaces in photogrammetric applications. In Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 289–295). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024

Roth, F., Tupas, M. E., Bauer-Marschallinger, B., & Wagner, W. (2024, June 11). S1Floods.AT: Radar-based flood monitoring for Austria. EODC Forum 2024, Wien, Austria.

Sardemann, H., Mulsow, C., Gueguen, L.-A., Mandlburger, G., & Maas, H.-G. (2024). Multimedia Photogrammetry with non-planar Water Surfaces – Accuracy Analysis on Simulation Basis. In Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 363–369). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024

Gartner, G., & Cygan, M. (2024, June 6). Trust and Value of Geospatial Data in Mapping and Society. IMIA Mapping Leaders Forum (2024), Denver, United States of America (the).

Gartner, G. (2024, June 5). About Maps, Trust and the Relevance of Cartography. IMIA Mapping Leaders Forum (2024), Denver, United States of America (the).

Raml, B. (2024, June 5). Retrieving Soil Moisture in Subsurface Scattering Areas at 1 km Resolution. 7th Satellite Soil Moisture Validation and Application Workshop 2024, East Lansing, United States of America (the).

Gartner, G. (2024, June 4). The relevance of Cartography. CaGIS + UCGIS Symposium 2024, Columbus, United States of America (the).

Gruber, A., Aberer, D., Bader, N. F., Himmelbauer-Quast, I., Preimesberger, W., Dorigo, W. A., Gibon, F., Mialon, A., Richaume, P., Tercjak, M., Boresch, A., & Crapolicchio, R. (2024, June 4). Fiducial Reference Measurements for Soil Moisture (FRM4SM): Current state and future directions. 7th Satellite Soil Moisture Validation and Application Workshop 2024, East Lansing, United States of America (the).

Wagner, W. (2024, June 4). Status and outlook for the ASCAT and Sentinel-1 soil moisture data services. 7th Satellite Soil Moisture Validation and Application Workshop 2024, East Lansing, United States of America (the).

Gogousou, I., Canestrini, M., Alinaghi, N., Michail, D., & Giannopoulos, I. (2024). The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna. In A. Heppenstall, M. Wang, U. Demsar, R. Lemmens, & J. Yao (Eds.), 27th AGILE Conference on Geographic Information Science “Geographic Information Science for a Sustainable Future” (pp. 1–12). Copernicus Publications. https://doi.org/10.5194/agile-giss-5-4-2024

Hollendonner, S., Alinaghi, N., & Giannopoulos, I. (2024). Road Network Mapping from Multispectral Satellite Imagery: Leveraging Deep Learning and Spectral Bands. In A. Heppenstall, M. Wang, U. Demsar, R. Lemmens, & J. Yao (Eds.), Proceedings of the 27th AGILE Conference on Geographic Information Science (pp. 1–11). Copernicus Publications. https://doi.org/10.5194/agile-giss-5-6-2024

Vreugdenhil, M. (2024, May 29). Building a high resolution EO data cube. Frontiers Forum Deep Dive series - A Digital Twin of Earth’s water cycle: progress and promise 2024, Online, Unknown.

Glaner, M. F. (2024, May 28). GNSS-Messungen von Smartphones: Herausforderungen, Verarbeitung und Potential. GARFIELD Webinar, Wien, Austria. https://doi.org/10.34726/7499

Gartner, G. (2024, May 24). The International Cartographic Association and the History of Cartography. Conference on Early Modern Nautical Charts: Information Sources, Navigation Means and Communication Media (NACHAS 2024), Zadar, Croatia.

Hanna, N., Wareyka-Glaner, M. F., & Möller, G. (2024, May 24). Approaching solar maximum -NeQuick G model performance over Europe. European Navigation Conference 2024, Noordwijk, Netherlands (the).

Shehaj, E., Geiger, A., Möller, G., Soja, B., & Rothacher, M. (2024, May 24). Machine learning framework to produce highresolution tropospheric delay fields for corrections of navigation satellites’ measurements. European Navigation Conference 2024, Netherlands (the).

Steiner, M., & Flores-Orozco, A. (2024, May 24). Im Schatten der Geschichte: Wie werden historische Quellen im Boden durch Geophysik zugänglich?. Lange Nacht der Forschung, Landhaus Burgenland, Eisenstadt, Austria.

Wagner, W. (2024, May 22). Operational monitoring of hydrological land surface variables using satellite constellations. AI4Copernicus Conference 2024, Den Haag, Netherlands (the).

Gartner, G. (2024, May 16). MapAI: The impact of AI on Cartography. Workshop on Evaluating the Science of Geospatial AI (2024), Cambridge, United States of America (the).

Büechi, P. E., Dorigo, W. A., Reuß, F. D., Homolová, L., Pikl, M., Bartošová, L., & Chatzikyriakou, C. (2024, May 15). Combining Sentinel-1 and 2 data with machine learning to improve field-scale crop yield forecasting. EO for Agriculture Under Pressure 2024 Workshop, Frascati, Italy.

Möller, G. (2024, May 6). Potenzial und Grenzen: Wie weltraumtauglich sind kommerzielle GNSS-Empfänger?. OVN Webinar, Austria.

de Witt, A., Gordon, D., Krasna, H., Charlot, P., Jung, T., Hodgson, J., & Garcia Miro, C. (2024, May). The Celestial Reference Frame at K-band (24 GHz) and future roadmap. 4th URSI Atlantic Radio Science Meeting, Gran Canaria, Spain. https://doi.org/10.34726/7279

Scheck, E. T., & Ledermann, F. (2024). Exploring the gender mapping gap. In P. Abend, B. Michel, N. Küttel, F. Dammann, F. Harvey, & L. Bauer (Eds.), Neue Ansätze kritischer Geovisualisierung – Book of Abstracts.

Kostjak, V., & Neuner, H.-B. (2024, April 17). Investigating the sensitivity of a profile laser scanner. EGU General Assembly 2024, Wien, Austria.

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