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Dear Professor Wu, hello! "Here is a piece of code I wrote for extracting the annual maximum NDVI value, and I'd like to ask you a few questions. For example, when using the .updateMask() function, if the spatial resolution of other bands in Landsat is inconsistent, not all are 30 meters, and differs from the 30-meter spatial resolution of the 'NDVI' band, will GEE automatically adjust the spatial resolution of other Landsat bands to match the spatial resolution of the 'NDVI' band? When performing some data processing, if the spatial resolutions of different bands in an image are inconsistent, will GEE handle it automatically? If it does, will GEE match high spatial resolution to low spatial resolution, or vice versa? Does it use nearest-neighbor interpolation? Do we need to consider the issue of projection coordinate system? If the spatial resolutions of different bands in an image are inconsistent, do we need to resample the data to the same resolution before processing it?" // 导入矢量边界和样本点位 // 定义时间范围 // 加载并计算 Landsat 8 SR 影像中值数据 // 获取 Landsat 8 SR 影像数据集 // 定义一个函数计算 NDVI // 对影像集中的每个影像应用 NDVI 函数 // 获取研究范围内所有 Landsat 8 影像对应像元的年度最大 NDVI 值 |
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See https://developers.google.com/earth-engine/guides/projections |
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See https://developers.google.com/earth-engine/guides/projections