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机译:使用Google地球发动机中的所有Landsat图像在北京绘制主要土地覆盖动态
State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences;
Department of Environmental Science Policy and Management University of California;
Google Earth Engine;
State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences;
State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences;
State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences;
Department of Earth System Science Tsinghua University;
Department of Earth System Science Tsinghua University;
Department of Earth System Science Tsinghua University;
State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences;
U. S. Geological Survey;
Vegetation dynamics; Land cover change; Urbanization; Afforestation;
机译:使用Google地球发动机中的所有Landsat图像在北京绘制主要土地覆盖动态
机译:基于Google地球发动机的长时间系列,使用长时间系列的Landsat图像绘制中下长江典型区域的耕地年动态。
机译:基于Landsat图像和Google Earth Engine的全球高分辨率高山绿色覆盖指数映射
机译:基于Landsat Imager和Google地球发动机的塔里木河流域植被覆盖的动态变化
机译:根据密集的Landsat影像时间序列的离散分析,确定加纳土地覆盖的类型和开始时间以及土地利用的变化。
机译:使用Landsat和Google Earth Engine云计算绘制非洲大陆的土地覆盖变化图
机译:利用Google地球发动机平台上的所有可用Landsat时间系列图像改善了亚热带杂志中长期森林扰动和恢复动态的映射