| Disentangling effects of climate and land use on biodiversity and ecosystem services—A multi‐scale experimental design S Redlich, J Zhang, C Benjamin, MS Dhillon, J Englmeier, J Ewald, ... Methods in Ecology and Evolution 13 (2), 514-527, 2022 | 33 | 2022 |
| Spatiotemporal fusion modelling using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria MS Dhillon, T Dahms, C Kübert-Flock, I Steffan-Dewenter, J Zhang, ... Remote Sensing 14 (3), 677, 2022 | 28 | 2022 |
| Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape MS Dhillon, T Dahms, C Kuebert-Flock, T Rummler, J Arnault, ... Frontiers in Remote Sensing 3, 1010978, 2023 | 25 | 2023 |
| Modelling crop biomass from synthetic remote sensing time series: Example for the DEMMIN test site, Germany MS Dhillon, T Dahms, C Kuebert-Flock, E Borg, C Conrad, T Ullmann Remote Sensing 12 (11), 1819, 2020 | 22 | 2020 |
| Estimation of carbon emissions from groundwater pumping in central Punjab M Singh Dhillon, S Kaur, A Sood, R Aggarwal Carbon Management 9 (4), 425-435, 2018 | 22 | 2018 |
| Delineation of critical regions for mitigation of carbon emissions due to groundwater pumping in central Punjab MS Dhillon, S Kaur, R Aggarwal Groundwater for Sustainable Development 8, 302-308, 2019 | 17 | 2019 |
| Evaluation of MODIS, Landsat 8 and Sentinel-2 data for accurate crop yield predictions: A case study using STARFM NDVI in Bavaria, Germany MS Dhillon, C Kübert-Flock, T Dahms, T Rummler, J Arnault, ... Remote Sensing 15 (7), 1830, 2023 | 13 | 2023 |
| Impact of STARFM on crop yield predictions: fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany MS Dhillon, T Dahms, C Kübert-Flock, A Liepa, T Rummler, J Arnault, ... Remote Sensing 15 (6), 1651, 2023 | 6 | 2023 |
| Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient CS Benjamin, L Uphus, M Lüpke, S Rojas-Botero, MS Dhillon, ... Animals 12 (3), 222, 2022 | 5 | 2022 |
| Disentangling effects of climate and land use on biodiversity and ecosystem services–A multi-scale experimental design. Methods Ecol Evol S Redlich, J Zhang, C Benjamin, MS Dhillon, J Englmeier, J Ewald, ... | 5 | 2021 |
| Disentangling effects of climate and land use on biodiversity and ecosystem services–A multi-scale experimental design. bioRxiv [Preprint](2021) S Redlich, J Zhang, C Benjamin, MS Dhillon, J Englmeier, J Ewald, ... Google Scholar, 0 | 5 | |
| Harmonized NDVI time-series from Landsat and Sentinel-2 reveal phenological patterns of diverse, small-scale cropping systems in East Africa A Liepa, M Thiel, H Taubenböck, I Steffan-Dewenter, IO Abu, MS Dhillon, ... Remote Sensing Applications: Society and Environment 35, 101230, 2024 | 1 | 2024 |
| Potential of Remote Sensing in Modeling Long-Term Crop Yields MS Dhillon PQDT-Global, 2023 | | 2023 |
| Modelling the Relative Abundance of Roe Deer (Capreolus capreolus L.) along a Climate and Land-Use Gradient. Animals 2022, 12, 222 CS Benjamin, L Uphus, M Lüpke, S Rojas-Botero, MS Dhillon, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| Feldmessgeräte S Truckenbrodt, N Ahmadian, E Borg, P Borrmann, F Böttcher, C Conrad, ... | | 2021 |
| Groundwater irrigation and energy nexus in central Punjab-trends and analysis MS Dhillon, S Kaur, BK Sidana, R Aggarwal Journal of Agricultural Development and Policy 31 (2), 222-227, 2021 | | 2021 |
| Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany MS Dhillon, T Dahms, C Kübert, M Wegmann, C Conrad Julius-Maximilians-Universität Würzburg, 2019 | | 2019 |
| Package ‘lue’ MS Dhillon, T Dahms, L Nill, MMS Dhillon, C LUE_BIOMASS | | 2018 |
| Groundwater for Sustainable Development MS Dhillon, S Kaur, R Aggarwal | | |
Thorsten DahmsDepartment of Remote Sensing University Wuerzburg在 uni-wuerzburg.de 的电子邮件经过验证
