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
Capital Normal Univ Beijing Lab Water Resources Secur Beijing Peoples R China;
Capital Normal Univ Beijing Lab Water Resources Secur Beijing Peoples R China|Capital Normal Univ Jing Jin Ji GeoData Ctr Beijing Peoples R China;
Capital Normal Univ State Key Lab Incubat Base Urban Environm Proc & Beijing Peoples R China;
Chinese Acad Agr Sci Inst Crop Sci Minist Agr Key Lab Crop Physiol & Ecol Beijing Peoples R China;
Arizona State Univ Ctr Global Discovery & Conservat Sci Tempe AZ 85287 USA;
Capital Normal Univ Beijing Lab Water Resources Secur Beijing Peoples R China|Capital Normal Univ Jing Jin Ji GeoData Ctr Beijing Peoples R China;
Capital Normal Univ Beijing Lab Water Resources Secur Beijing Peoples R China;
Capital Normal Univ Beijing Lab Water Resources Secur Beijing Peoples R China|Capital Normal Univ State Key Lab Incubat Base Urban Environm Proc & Beijing Peoples R China;
China Meteorol Adm Meteorol Observat Ctr Beijing Peoples R China;
Paddy rice mapping; Phenology; Time-series analysis; Pixel-based; One-class classifier;
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
机译:Google地球图像和Sentinel-2用于红树林物种映射的组合
机译:使用Landsat 8图像,基于物候算法和Google Earth Engine绘制东北亚水稻种植区的图
机译:通过Google地球引擎使用紧凑的纹理单元描述符对Sentinel-2图像进行基于对象的分类
机译:用谷歌地球发动机映射北半球的雪传感器可用性
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:将植物牙权轨迹纳入红树林映射,用密集的时间序列Sentinel-2图像和Google地球发动机平台