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Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Wolanin, Aleksandra;  Mateo-Garcia, Gonzalo;  Camps-Valls, Gustau;  Gomez-Chova, Luis;  Meroni, Michele;  Duveiller, Gregory;  Liangzhi, You;  Guanter, Luis
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
wheat yield  Indian Wheat Belt  food security  remote sensing  explainable artificial intelligence (XAI)  deep learning (DL)  regression activation map (RAM)  
Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (5)
作者:  Deo, Ram K.;  Domke, Grant M.;  Russell, Matthew B.;  Woodall, Christopher W.;  Andersen, Hans-Erik
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
above-ground forest biomass  large-area estimation  Landsat data  spatial resolution of predictors  LiDAR  design-based estimates  
Uncertainties in emissions estimates of greenhouse gases and air pollutants in India and their impacts on regional air quality 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (6)
作者:  Saikawa, Eri;  Trail, Marcus;  Zhong, Min;  Wu, Qianru;  Young, Cindy L.;  Janssens-Maenhout, Greet;  Klimont, Zbigniew;  Wagner, Fabian;  Kurokawa, Jun-ichi;  Nagpure, Ajay Singh;  Gurjar, Bhola Ram
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
emissions  India  air pollution  carbon dioxide  inventories