| The impact of the control measures during the COVID-19 outbreak on air pollution in China C Fan, Y Li, J Guang, Z Li, A Elnashar, M Allam, G de Leeuw Remote Sensing 12 (10), 1613, 2020 | 150 | 2020 |
| Modeling spatio-temporal land transformation and its associated impacts on land surface temperature (LST) F Mumtaz, Y Tao, G de Leeuw, L Zhao, C Fan, A Elnashar, B Bashir, ... Remote Sensing 12 (18), 2987, 2020 | 82 | 2020 |
| Synthesis of global actual evapotranspiration from 1982 to 2019 A Elnashar, L Wang, B Wu, W Zhu, H Zeng Earth System Science Data 13 (2), 447-480, 2021 | 79 | 2021 |
| A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication C Liu, Q Zhang, S Tao, J Qi, M Ding, Q Guan, B Wu, M Zhang, M Nabil, ... Remote Sensing of Environment 251, 112095, 2020 | 57 | 2020 |
| Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework A Elnashar, H Zeng, B Wu, AA Fenta, M Nabil, R Duerler Science of the Total Environment 793, 148466, 2021 | 52 | 2021 |
| Modeling deficit irrigation-based evapotranspiration optimizes wheat yield and water productivity in arid regions AMS Kheir, AA Alrajhi, AM Ghoneim, EF Ali, A Magrashi, MG Zoghdan, ... Agricultural Water Management 256, 107122, 2021 | 42 | 2021 |
| GCI30: A global dataset of 30-m cropping intensity using multisource remote sensing imagery M Zhang, B Wu, H Zeng, G He, C Liu, S Tao, Q Zhang, M Nabil, F Tian, ... Earth System Science Data Discussions 2021, 1-22, 2021 | 42 | 2021 |
| Downscaling TRMM monthly precipitation using google earth engine and google cloud computing A Elnashar, H Zeng, B Wu, N Zhang, F Tian, M Zhang, W Zhu, N Yan, ... Remote Sensing 12 (23), 3860, 2020 | 41 | 2020 |
| Quantifying global agricultural water appropriation with data derived from earth observations B Wu, F Tian, M Zhang, S Piao, H Zeng, W Zhu, J Liu, A Elnashar, Y Lu Journal of Cleaner Production 358, 131891, 2022 | 39 | 2022 |
| Development of a spatial model for soil quality assessment under arid and semi-arid conditions MS Shokr, MA Abdellatif, AA El Baroudy, A Elnashar, EF Ali, AA Belal, ... Sustainability 13 (5), 2893, 2021 | 36 | 2021 |
| Dryland ecosystem dynamic change and its drivers in Mediterranean region H Zeng, B Wu, M Zhang, N Zhang, A Elnashar, L Zhu, W Zhu, F Wu, N Yan, ... Current Opinion in Environmental Sustainability 48, 59-67, 2020 | 29 | 2020 |
| Performance and the optimal integration of Sentinel-1/2 time-series features for crop classification in Northern Mongolia B Tuvdendorj, H Zeng, B Wu, A Elnashar, M Zhang, F Tian, M Nabil, ... Remote Sensing 14 (8), 1830, 2022 | 23 | 2022 |
| Assessment of environmentally sensitive areas to desertification in the Blue Nile Basin driven by the MEDALUS-GEE framework A Elnashar, H Zeng, B Wu, TG Gebremicael, K Marie Science of The Total Environment 815, 152925, 2022 | 23 | 2022 |
| Crop water requirements and suitability assessment in arid environments: A new approach A Elnashar, M Abbas, H Sobhy, M Shahba Agronomy 11 (2), 260, 2021 | 20 | 2021 |
| Minimizing trade-offs between wheat yield and resource-use efficiency in the Nile Delta–A multi-model analysis AMS Kheir, G Hoogenboom, KA Ammar, M Ahmed, T Feike, A Elnashar, ... Field Crops Research 287, 108638, 2022 | 15 | 2022 |
| Synthesizing a regional territorial evapotranspiration dataset for Northern China L Wang, B Wu, A Elnashar, H Zeng, W Zhu, N Yan Remote Sensing 13 (6), 1076, 2021 | 13 | 2021 |
| How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data J Bofana, M Zhang, B Wu, H Zeng, M Nabil, N Zhang, A Elnashar, F Tian, ... Remote Sensing of Environment 269, 112808, 2022 | 12 | 2022 |
| Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets M Nabil, M Zhang, B Wu, J Bofana, A Elnashar Big Earth Data 6 (1), 54-76, 2022 | 12 | 2022 |
| The impact of the control measures during the COVID-19 outbreak on air pollution in China, Remote Sens., 12, 1613 C Fan, Y Li, J Guang, Z Li, A Elnashar, M Allam, G de Leeuw | 12 | 2020 |
| A framework for separating natural and anthropogenic contributions to evapotranspiration of human-managed land covers in watersheds based on machine learning H Zeng, A Elnashar, B Wu, M Zhang, W Zhu, F Tian, Z Ma Science of the Total Environment 823, 153726, 2022 | 10 | 2022 |
Bingfang WuRADIVerified email at radi.ac.cn
