| Monitoring cropland abandonment with Landsat time series H Yin, A Brandão Jr, J Buchner, D Helmers, BG Iuliano, NE Kimambo, ... Remote Sensing of Environment 246, 111873, 2020 | 132 | 2020 |
| Characterisation of productivity limitation of salt‐affected lands in different climatic regions of Europe using remote sensing derived productivity indicators E Ivits, M Cherlet, T Tóth, KE Lewińska, G Tóth Land Degradation & Development 24 (5), 438-452, 2013 | 66 | 2013 |
| Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites J Buchner, H Yin, D Frantz, T Kuemmerle, E Askerov, T Bakuradze, ... Remote Sensing of Environment 248, 111967, 2020 | 63 | 2020 |
| Short-term vegetation loss versus decadal degradation of grasslands in the Caucasus based on Cumulative Endmember Fractions KE Lewińska, P Hostert, J Buchner, B Bleyhl, VC Radeloff Remote Sensing of Environment 248, 111969, 2020 | 27 | 2020 |
| Alpine forest drought monitoring in South Tyrol: PCA based synergy between scPDSI data and MODIS derived NDVI and NDII7 time series KE Lewińska, E Ivits, M Schardt, M Zebisch Remote Sensing 8 (8), 639, 2016 | 21 | 2016 |
| Drought impact on phenology and green biomass production of alpine mountain forest—case study of South Tyrol 2001–2012 inspected with MODIS time series KE Lewińska, E Ivits, M Schardt, M Zebisch Forests 9 (2), 91, 2018 | 15 | 2018 |
| Mapping breeding bird species richness at management‐relevant resolutions across the United States KA Carroll, LS Farwell, AM Pidgeon, E Razenkova, D Gudex‐Cross, ... Ecological Applications, e2624, 2022 | 11 | 2022 |
| Changes in the grasslands of the Caucasus based on Cumulative Endmember Fractions from the full 1987–2019 Landsat record KE Lewińska, J Buchner, B Bleyhl, P Hostert, H Yin, T Kuemmerle, ... Science of Remote Sensing 4, 100035, 2021 | 10 | 2021 |
| Application of the apparent thermal inertia concept for soil moisture estimation in agricultural areas C Notarnicola, KE Lewińska, M Temimi, M Zebisch Thermal Infrared Remote Sensing: Sensors, Methods, Applications, 331-346, 2013 | 6 | 2013 |
| Beyond “greening” and “browning”: Trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation KE Lewińska, AR Ives, CJ Morrow, N Rogova, H Yin, PR Elsen, ... Global Change Biology 29 (16), 4620-4637, 2023 | 4 | 2023 |
| Multidecadal grassland fractional cover time series retrieval for Germany from the Landsat and Sentinel-2 archives A Okujeni, K Kowalski, KE Lewińska, S Schneidereit, P Hostert Remote Sensing of Environment 302, 113980, 2024 | 3 | 2024 |
| Scalable semiparametric spatio-temporal regression for large data analysis TF Ma, F Wang, J Zhu, AR Ives, KE Lewińska Journal of Agricultural, Biological and Environmental Statistics 28 (2), 279-298, 2023 | 2 | 2023 |
| Land cover classification using multi-temporal MODIS satellite data KE Lewińska Roczniki Geomatyki 7 (2), 75-81, 2009 | 2 | 2009 |
| Usable observations over Europe: Evaluation of compositing windows for Landsat and Sentinel-2 time series KE Lewińska, D Frantz, U Leser, P Hostert European Journal of Remote Sensing 57 (1), 2372855, 2024 | 1 | 2024 |
| Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT M Sänger, N De Mecquenem, KE Lewińska, V Bountris, F Lehmann, ... arXiv preprint arXiv:2311.01825, 2023 | 1 | 2023 |
| Porównanie klasyfikacji wieloczasowych zdjęć satelitarnych MODIS KE Lewińska Teledetekcja Środowiska 46, 3-13, 2011 | 1 | 2011 |
| Global Overview of Usable Landsat and Sentinel-2 Data for 1982–2023 K Lewińska, S Ernst, D Frantz, U Leser, P Hostert Preprints, 2024 | | 2024 |
| A qualitative assessment of using ChatGPT as large language model for scientific workflow development M Sänger, N De Mecquenem, KE Lewińska, V Bountris, F Lehmann, ... GigaScience 13, giae030, 2024 | | 2024 |
| Monitoring Trends in Grasslands in Central Asia While Accounting for Temporal and Spatial Autocorrelation K Lewinska, A Ives, C Morrow, N Rogova, V Radeloff Authorea Preprints, 2022 | | 2022 |
| Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis T Fung Ma, F Wang, J Zhu, AR Ives, KE Lewińska arXiv e-prints, arXiv: 2111.15086, 2021 | | 2021 |
Volker RadeloffUniversity of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
