| Bringing an ecological view of change to Landsat‐based remote sensing RE Kennedy, S Andréfouët, WB Cohen, C Gómez, P Griffiths, M Hais, ... Frontiers in Ecology and the Environment 12 (6), 339-346, 2014 | 402 | 2014 |
| Remote sensing of sun‐induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP) A Damm, JAN Elbers, A Erler, B Gioli, K Hamdi, R Hutjes, M Kosvancova, ... Global change biology 16 (1), 171-186, 2010 | 327 | 2010 |
| Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions N Pettorelli, M Wegmann, A Skidmore, S Mücher, TP Dawson, ... Remote sensing in ecology and conservation 2 (3), 122-131, 2016 | 316 | 2016 |
| Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward N Pettorelli, H Schulte to Bühne, A Tulloch, G Dubois, C Macinnis‐Ng, ... Remote Sensing in Ecology and Conservation 4 (2), 71-93, 2018 | 280 | 2018 |
| Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets B O'Connor, C Secades, J Penner, R Sonnenschein, A Skidmore, ... Remote sensing in ecology and conservation 1 (1), 19-28, 2015 | 140 | 2015 |
| Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate R Sonnenschein, T Kuemmerle, T Udelhoven, M Stellmes, P Hostert Remote sensing of environment 115 (6), 1408-1420, 2011 | 120 | 2011 |
| Dryland observation at local and regional scale—Comparison of Landsat TM/ETM+ and NOAA AVHRR time series M Stellmes, T Udelhoven, A Röder, R Sonnenschein, J Hill Remote Sensing of Environment 114 (10), 2111-2125, 2010 | 83 | 2010 |
| Estimating tree species diversity from space in an alpine conifer forest: The Rao's Q diversity index meets the spectral variation hypothesis M Torresani, D Rocchini, R Sonnenschein, M Zebisch, M Marcantonio, ... Ecological Informatics 52, 26-34, 2019 | 80 | 2019 |
| Modelling avian biodiversity using raw, unclassified satellite imagery V St-Louis, AM Pidgeon, T Kuemmerle, R Sonnenschein, VC Radeloff, ... Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014 | 52 | 2014 |
| Livestock subsidies and rangeland degradation in central Crete H Lorent, R Sonnenschein, GM Tsiourlis, P Hostert, E Lambin Ecology and Society 14 (2), 2009 | 46 | 2009 |
| Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data M Torresani, D Rocchini, R Sonnenschein, M Zebisch, HC Hauffe, ... Ecological Indicators 117, 106520, 2020 | 41 | 2020 |
| Linking animal movement and remote sensing–mapping resource suitability from a remote sensing perspective R Remelgado, B Leutner, K Safi, R Sonnenschein, C Kuebert, ... Remote Sensing in Ecology and Conservation 4 (3), 211-224, 2018 | 31 | 2018 |
| Geohazards monitoring and assessment using multi-source earth observation techniques JJ Sousa, G Liu, J Fan, Z Perski, S Steger, S Bai, L Wei, S Salvi, Q Wang, ... Remote Sensing 13 (21), 4269, 2021 | 12 | 2021 |
| Land degradation assessment and monitoring of drylands M Stellmes, R Sonnenschein, A Röder, T Udelhoven, S Sommer, J Hill Remote sensing of water resources, disasters, and urban studies, 417-451, 2015 | 11 | 2015 |
| Integrating RapidEye and ancillary data to map alpine habitats in South Tyrol, Italy A Polychronaki, N Spindler, A Schmidt, B Stoinschek, M Zebisch, ... International Journal of Applied Earth Observation and Geoinformation 37, 65-71, 2015 | 10 | 2015 |
| A globally relevant change taxonomy and evidence‐based change framework for land monitoring RM Lucas, S German, G Metternicht, RK Schmidt, CJ Owers, SM Prober, ... Global Change Biology 28 (21), 6293-6317, 2022 | 9 | 2022 |
| Modelling distributions of rove beetles in mountainous areas using remote sensing data A Dittrich, S Roilo, R Sonnenschein, C Cerrato, M Ewald, R Viterbi, ... Remote Sensing 12 (1), 80, 2019 | 8 | 2019 |
| Comparing PlanetScope and Sentinel-2 imagery for mapping mountain pines in the Sarntal Alps, Italy M Rösch, R Sonnenschein, S Buchelt, T Ullmann Remote Sensing 14 (13), 3190, 2022 | 6 | 2022 |
| Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage JJ Sousa, J Lin, Q Wang, G Liu, J Fan, S Bai, H Zhao, H Pan, W Wei, ... Geo-spatial Information Science, 1-20, 2023 | 5 | 2023 |
| Assessing hypertemporal Sentinel-1 coherence maps for land cover monitoring F Vicente-Guijalba, J Duro, C Notarnicola, A Jacob, R Sonnenschein, ... 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 4 | 2017 |
