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How does reduceresolution work in Google Earth Engine?
The weights of pixels used during the reduceResolution () aggregation process are based on the overlap between the smaller pixels being aggregated and the larger pixels specified by the output projection. This is illustrated in Figure 4. Figure 4.
How does resampling work in Google Earth Engine?
Specifically, when one of these methods is applied to an input image, any required reprojection of the input will be done using the indicated resampling or aggregation method. resample () causes the indicated resampling method ( ‘bilinear’ or ‘bicubic’) to be used at the next reprojection.
How to calculate region in Google Earth Engine?
// Load input imagery: Landsat 7 5-year composite. // Load an input region: Sierra Nevada. // Reduce the region. The region parameter is the Feature geometry. // The result is a Dictionary. Print it. To force the computation, it suffices to print the result, which the Code Editor will display as a Dictionary in the console.
How is the scale determined in Earth Engine?
In general, specifying the scale is sufficient and results in more readable code. Earth Engine determines which pixels to input to the reducer by first rasterizing the region. If a scale is specified without a CRS, the region is rasterized in the image’s native projection scaled to the specified resolution.
How to reduce the resolution of satellite images?
Reduce the satellite data resolution 1 Reproject each images using projection from our shapefile using reproject method 2 Reduce the resolution for each satellite images to 25KM (25000 M) by calculating the average on each pixel using… 3 Clip the images, so we only have images that intersect with the shapefile using the clip method More
When to use resampling to reduce image resolution?
Reduce Resolution Suppose that instead of resampling during reprojection, your goal is to aggregate pixels to larger pixels in a different projection. This is useful when comparing image datasets at different scales, for example 30-meter pixels from a Landsat-based product to coarse pixels (higher scale) from a MODIS-based product.