Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data B Wessel, M Huber, C Wohlfart, U Marschalk, D Kosmann, A Roth ISPRS Journal of Photogrammetry and Remote Sensing 139, 171-182, 2018 | 371 | 2018 |
Cold hardiness of Pinus nigra Arnold as influenced by geographic origin, warming, and extreme summer drought J Kreyling, GLB Wiesenberg, D Thiel, C Wohlfart, G Huber, J Walter, ... Environmental and Experimental Botany 78, 99-108, 2012 | 102 | 2012 |
Social–ecological challenges in the Yellow River basin (China): a review C Wohlfart, C Kuenzer, C Chen, G Liu Environmental Earth Sciences 75, 1-20, 2016 | 78 | 2016 |
Mapping bushmeat hunting pressure in Central Africa S Ziegler, JE Fa, C Wohlfart, B Streit, S Jacob, M Wegmann Biotropica 48 (3), 405-412, 2016 | 78 | 2016 |
Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban … C Wohlfart, B Mack, G Liu, C Kuenzer Applied Geography 85, 73-88, 2017 | 67 | 2017 |
Assessing forest cover dynamics and forest perception in the Atlantic Forest of Paraguay, combining remote sensing and household level data E Da Ponte, B Mack, C Wohlfart, O Rodas, M Fleckenstein, N Oppelt, ... Forests 8 (10), 389, 2017 | 64 | 2017 |
Mapping threatened dry deciduous dipterocarp forest in South-east Asia for conservation management C Wohlfart, M Wegmann, P Leimgruber Tropical Conservation Science 7 (4), 597-613, 2014 | 59 | 2014 |
TerraSAR-X and wetlands: A review C Wohlfart, K Winkler, A Wendleder, A Roth Remote Sensing 10 (6), 916, 2018 | 36 | 2018 |
A River Basin over the course of time: Multi-temporal analyses of land surface dynamics in the Yellow River Basin (China) based on medium resolution remote sensing data C Wohlfart, G Liu, C Huang, C Kuenzer Remote Sensing 8 (3), 186, 2016 | 36 | 2016 |
TanDEM-X PolarDEM 90 m of Antarctica: Generation and error characterization B Wessel, M Huber, C Wohlfart, A Bertram, N Osterkamp, U Marschalk, ... The Cryosphere 15 (11), 5241-5260, 2021 | 29 | 2021 |
The Hitchhiker’s guide to island endemism: biodiversity and endemic perennial plant species in roadside and surrounding vegetation SDH Irl, MJ Steinbauer, L Epperlein, DEV Harter, A Jentsch, S Pätz, ... Biodiversity and conservation 23, 2273-2287, 2014 | 22 | 2014 |
Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data, ISPRS J. Photogramm., 139, 171–182 B Wessel, M Huber, C Wohlfart, U Marschalk, D Kosmann, A Roth | 16 | 2018 |
More than counting pixels–perspectives on the importance of remote sensing training in ecology and conservation A Bernd, D Braun, A Ortmann, YZ Ulloa‐Torrealba, C Wohlfart, A Bell Remote Sensing in Ecology and Conservation 3 (1), 38-47, 2017 | 13 | 2017 |
Investigation of Tandem-X penetration depth over the Greenland Ice Sheet S Abdullahi, B Wessel, T Leichtle, M Huber, C Wohlfart, A Roth IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
Field data for remote sensing data analysis C Wohlfart, M Bevanda, N Horning, B Leutner, M Wegmann Remote Sensing and GIS for Ecologists: Using Open Source Software, 136-149, 2016 | 4 | 2016 |
Digital profiling of cancer transcriptomes from histology images with grouped vision attention Y Zheng, M Pizurica, F Carrillo-Perez, H Noor, W Yao, C Wohlfart, ... bioRxiv, 2023 | 3 | 2023 |
TanDEM-X DEM derived elevation changes of the Greenland Ice Sheet C Wohlfart, B Wessel, M Huber, T Leichtle, S Abdullahi, S Kerkhoff, A Roth IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 2 | 2018 |
The Yellow River Basin in Transition-Multi-faceted Land Cover Change Analysis in the Yellow River Basin in the Context of Global Change Using Multi-sensor Remote Sensing Imagery C Wohlfart Universität Würzburg, 2018 | 2 | 2018 |
Graph-based multi-modality integration for prediction of cancer subtype and severity D Duroux, C Wohlfart, K Van Steen, A Vladimirova, M King Scientific Reports 13 (1), 19653, 2023 | 1 | 2023 |
Multi-modal machine learning approaches for predicting cancer type and Gleason grade leveraging public TCGA data C Wohlfart, E Klaiman, J Witkowski, M King, J Gildenblat, O Etz-Hadar, ... Cancer Research 84 (6_Supplement), 4970-4970, 2024 | | 2024 |