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浏览/检索结果: 共111条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Limiting global warming to 2 °C benefits building climate resilience in rice-wheat systems in India through crop calendar management 期刊论文  OAI收割 AGRICULTURAL SYSTEMS, 2024, 卷号: 213, 页码: 14 作者:  Wang, Xiaobo;  Wang, Shaoqiang;  Folberth, Christian;  Skalsky, Rastislav;  Li, Hui   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/03/04 Climate change  Climate resilience  Rice-wheat system  Crop calendar  Planting date  Crop model   Spatio-Temporal Distribution Characteristics and Driving Factors of Main Grain Crop Water Productivity in the Yellow River Basin 期刊论文  OAI收割 PLANTS-BASEL, 2023, 卷号: 12, 期号: 3 作者:  Zhang, Yan;  Wang, Feiyu;  Du, Zhenjie;  Dou, Ming;  Liang, Zhijie   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/04/06 water productivity  discrepancy characteristics  driving factors  contribution rate  Yellow River Basin   Impacts of Extreme Temperature and Precipitation on Crops during the Growing Season in South Asia 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 23, 页码: 20 作者:  Fan, Xinyi;  Zhu, Duoping;  Sun, Xiaofang;  Wang, Junbang;  Wang, Meng   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/01/13 extreme temperature  extreme precipitation  crop  South Asia   Impacts of Extreme Temperature and Precipitation on Crops during the Growing Season in South Asia 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 23, 页码: 20 作者:  Fan, Xinyi;  Zhu, Duoping;  Sun, Xiaofang;  Wang, Junbang;  Wang, Meng   |  收藏  |  浏览/下载：30/0  |  提交时间：2023/01/13 extreme temperature  extreme precipitation  crop  South Asia   Spatiotemporal pattern of the dynamics in area, production, and yield of Aus rice in Bangladesh and its response to droughts from 1980 to 2018 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 卷号: 32, 期号: 10, 页码: 2069-2084 作者:  Khondakar, Arifuzzaman;  Dong Jinwei;  Li Zhichao;  Deng Xiangzheng;  Singha, Mrinal   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/11/09 Aus rice  droughts  acreage  production  yield  PDSI  Bangladesh   Spatiotemporal pattern of the dynamics in area, production, and yield of Aus rice in Bangladesh and its response to droughts from 1980 to 2018 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 卷号: 32, 期号: 10, 页码: 2069-2084 作者:  Khondakar, Arifuzzaman;  Dong Jinwei;  Li Zhichao;  Deng Xiangzheng;  Singha, Mrinal   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/11/09 Aus rice  droughts  acreage  production  yield  PDSI  Bangladesh   IrriMap_CN: Annual irrigation maps across China in 2000-2019 based on satellite observations, environmental variables, and machine learning 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 280, 页码: 14 作者:  Zhang, Chao;  Dong, Jinwei;  Ge, Quansheng   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/11/09 Irrigation  China  MODIS  Random forest  Google Earth Engine  Spatiotemporal dynamics   IrriMap_CN: Annual irrigation maps across China in 2000-2019 based on satellite observations, environmental variables, and machine learning 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 280, 页码: 14 作者:  Zhang, Chao;  Dong, Jinwei;  Ge, Quansheng   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/11/09 Irrigation  China  MODIS  Random forest  Google Earth Engine  Spatiotemporal dynamics   Mapping irrigated croplands in China using a synergetic training sample generating method, machine learning classifier, and Google Earth Engine 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 112, 页码: 13 作者:  Zhang, Chao;  Dong, Jinwei;  Xie, Yanhua;  Zhang, Xuezhen;  Ge, Quansheng   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/09/21 Irrigation  China  Training sample pool  MODIS  Google Earth Engine  Random forest   Mapping irrigated croplands in China using a synergetic training sample generating method, machine learning classifier, and Google Earth Engine 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 112, 页码: 13 作者:  Zhang, Chao;  Dong, Jinwei;  Xie, Yanhua;  Zhang, Xuezhen;  Ge, Quansheng   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/09/21 Irrigation  China  Training sample pool  MODIS  Google Earth Engine  Random forest