机译:基于Sentinel-1图像和Google地球发动机的孟加拉国识别洪水和受洪涝稻田
Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China;
Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China;
Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China;
Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China;
Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Land Surface Pattern & Simulat Beijing 100101 Peoples R China;
China Agr Univ Coll Land Sci & Technol Beijing 100193 Peoples R China;
Univ Oklahoma Dept Microbiol & Plant Biol Norman OK 73019 USA;
Univ Oklahoma Dept Microbiol & Plant Biol Norman OK 73019 USA;
Flood; Sentinel-1 SAR; Google Earth Engine; Bangladesh; Sentinel-2;
机译:基于谷歌地球发动机的Sentinel-2图像的精确稻米谱位的基于型像素的鉴性特征
机译:使用Google Earth Engine通过Sentinel-1双极化SAR图像进行站点监视
机译:在Google地球发动机上使用Sentinel-1图像自动洪水检测
机译:孟加拉国间歇性和苍白的稻田的砷沉降动态和砷的吸收
机译:稻田甲烷排放和稻米中非结构性碳水化合物的研究。
机译:使用Landsat 8影像基于物候学的算法和Google Earth Engine绘制东北亚水稻种植区的图
机译:使用在Google地球发动机上使用Sentinel-2图像补充的Sentinel-1 SAR时间系列映射日本的稻田