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 | 62 | 2020 |
Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa M Nabil, M Zhang, J Bofana, B Wu, A Stein, T Dong, H Zeng, J Shang International Journal of Applied Earth Observation and Geoinformation 85, 2019 | 51 | 2019 |
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 | 46 | 2021 |
Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin J Bofana, M Zhang, M Nabil, B Wu, F Tian, W Liu, H Zeng, N Zhang, ... Remote Sensing 12 (13), 2020 | 30 | 2020 |
Water use efficiency based multi‐scale assessment of eco‐hydrological resilience to ecosystem shifts over the continent of Africa during 1992‐2015 A Kayiranga, B Chen, Y Trisurat, F Ndayisaba, S Sun, V Tuankrua, ... Journal of Geophysical Research: Biogeosciences, e2020JG005749, 2020 | 15 | 2020 |
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 | 13 | 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 | 13 | 2022 |
Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios A Kayiranga, B Chen, L Guo, S Measho, H Hirwa, S Liu, J Bofana, S Sun, ... Agricultural and Forest Meteorology 310, 108662, 2021 | 10 | 2021 |
基于多层神经网络与 Sentinel-2 数据的大豆种植区识别方法 田富有, 吴炳方, 曾红伟, 何昭欣, 张淼, J Bofana 地球信息科学学报 21 (6), 918-927, 2019 | 7 | 2019 |
Comparison of spatial interpolators for variability analysis of soil chemical properties in Cuamba (Mozambique) AC Costa African Journal of Agricultural Research 12 (25), 2153-2162, 2017 | 7 | 2017 |
Mapping global maximum irrigation extent at 30m resolution using the irrigation performances under drought stress B Wu, F Tian, M Nabil, J Bofana, Y Lu, A Elnashar, AN Beyene, M Zhang, ... Global Environmental Change 79, 102652, 2023 | 6 | 2023 |
GCI30: Global Cropping Intensity at 30 m resolution M Zhang, B Wu, H Zeng, G He, C Liu, M Nabil, F Tian, J Bofana, Z Wang, ... V2, Harvard Dataverse. figshare https://doi. org/10.7910/DVN/86M4PO, 2020 | 5 | 2020 |
Evaluation of Grain Yield of Two Varieties of Cowpea (Vigna unguiculata) Subjected to Four Agricultural Practices in Gùrué District, Mozambique. GH António, J Bofana, F Gimo, SA Cipriano Journal of Experimental Agriculture International 36 (5), 1-7, 2019 | 4 | 2019 |
Viability Analysis of Value-Added Engraulicypris sardella Obtained Using Parboiling and Sun-Drying Processing Methods in Nkhotakota District, Malawi BCV Savanguane, E Kaunda, J Dzanja, J Valeta, J Bofana Sustainability 15 (6), 5559, 2023 | | 2023 |