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Terra Server deals in "old" satellite imagery. Just enter address or latLon and choose what epoch you would like to view.


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The US Naval Research Laboratory has developed the "Special Sensor Ultraviolet Spectrographic Imager" (SSUSI). Versions of it have been aboard DMSP satellites since 2003, improving in accuracy. It records in the extreme ultraviolet and far ultraviolet spectral ranges. The most recent numbers I could find (from 2011) said it has 7km resolution and records ...


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I would probably start by reclassifying your raster on the various bands and seeing how best you could isolate that specific green. I find the identify tool and checking out multiband scatterplots or histograms to be most helpful here. Once you get those depressions on one band and classify the rest as "NoData" running a Vectorize raster function should be ...


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You should use something like: gdal_translate -of GTiff zoom13.mbtiles export.tiff The reason for the -of GTiff part is that the default output is TIFF, with external georeferencing, rather than GeoTIFF. See http://www.gdal.org/frmt_gtiff.html If you want to rebuild the overviews (similar to what you probably have in mbtiles), gdaladdo will probably help: ...


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My goal is to do a rough treetop calculation to get an idea of how many trees are there and how they are layouted. For such goal, it is not necessary to remotely identify individual trees. A simpler approach to get an idea of tree density would be to model it with some metric related to canopy cover. For example, using the NDVI index to map which pixels ...


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You can use the Identify tool. click on the map, the SRC_DATE (source date) field should have your information.


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There is no definitive way to determine the bands without vendor metadata. However, you can infer which bands are which by looking at a spectral profile of image reflectance values at features such as water and vegetation. For example, near infrared values in your imagery will be very low for water features and very high for healthy green vegetation. The red ...



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