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This repository has been archived by the owner on Jun 10, 2020. It is now read-only.
Each NOAA tiff has metadata about the coordinate system in the Tiff tags. These can extracted using the GDAL bindings for python (here is GDAL on PyPI) using gdalinfo. Here is an example of the tags (note that i did this in R):
It would be ideal to create a database of all NOAA images (all images from all storms), with image name, storm name, collection date, etc... and the lower left origin.x and lower left origin.y information.
There are two reasons why i think this could be good:
users could define a lat/long range from collect.py for images to download (across all storms).. (this would search the database to find the images for download).
This overview of all NOAA images would allow us to understand spatially and temporally the coverage of the images (i.e., we could plot all the lower left origin.x and lower left origin.y). For example, one could plot these as points, colored by time, to look at general coverage from given storms... or across the entire set of images. It would allow for more 'database' work, which i think is needed for the project.
The text was updated successfully, but these errors were encountered:
Each NOAA tiff has metadata about the coordinate system in the Tiff tags. These can extracted using the
GDAL
bindings for python (here is GDAL on PyPI) usinggdalinfo
. Here is an example of the tags (note that i did this inR
):It would be ideal to create a database of all NOAA images (all images from all storms), with image name, storm name, collection date, etc... and the
lower left origin.x
andlower left origin.y
information.There are two reasons why i think this could be good:
users could define a lat/long range from
collect.py
for images to download (across all storms).. (this would search the database to find the images for download).This overview of all NOAA images would allow us to understand spatially and temporally the coverage of the images (i.e., we could plot all the
lower left origin.x
andlower left origin.y
). For example, one could plot these as points, colored by time, to look at general coverage from given storms... or across the entire set of images. It would allow for more 'database' work, which i think is needed for the project.The text was updated successfully, but these errors were encountered: