My Goal is to extract Spatial Information for Usage in Tensorflow.
I´ve got Spatial Information from Landsat(30m) and Modis(500m), if I want to extract this Information, do I need any form of reprojection? or does Google Earth Engine ensure precise Value extraction?
Ive tried using reproject on Modis imagery, by using the Landsat projection
with `var lsPr = LS8Col.first().projection()
var preSnowCollection = ee.ImageCollection('MODIS/006/MOD10A1').select('NDSI_Snow_Cover') .filterBounds(geometry).filterDate('2005-01-01','2005-01-06') var snow = preSnowCollection.first() var snowPr = snow.projection() Map.addLayer(snow,,'snow') var snowre = preSnowCollection.first().reproject(lsPr) var snowrePr = snowre.projection() Map.addLayer(snowre,,'snowre') print(snowPr) print(snowrePr)
MODIS reprojected to Landsat:
These Bumps, make me curious. I've read Projections Page and have to admit that I don´t understand if this is just a visualization thing, or if my data will actually become faulty by reprojecting.