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Which is the best way to resample rasters?
It has options to use the SUM, MEAN, MEDIAN, MAXIMUM, MINIMUM of the collection of smaller cells. This seems to work (and work only) for cases where the target resolution is an exact multiple of the original resolution. Thanks for contributing an answer to Geographic Information Systems Stack Exchange!
When to use resampling instead of reprojection?
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.
How is the reflectance measured in Sentinel 2?
The Sentinel 2 optical sensor measures reflectance at 13 wavelength bandwidths, or bands for short. In satellite images, these data are stored in rasters, or a matrix data structure, where each pixel stores the data for the 13 wavelengths. Therefore, Sentinel 2 data contains several raster layers, one for each spectral band.
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.
Do you need the same cell resolution for all raster datasets?
Different raster datasets do not need to be stored using the same cell resolution. But when you are processing between multiple datasets, the cell resolution, like the registration, ideally should be the same.
Why do you need a resampling tool in ArcGIS?
A resampling technique is necessary because rarely do the centers of the input cells align with the transformed cell centers of the desired resolution. The bilinear and cubic techniques can be applied using the Resample tool as a pre-processing step before combining rasters of different resolutions.
Five-kilometer cells might be more applicable when studying the effects of global warming over the earth. To find the value each cell should receive on the resampled output raster, the center of each cell in the output must be mapped to the original input coordinate system.