[GIS] Imagery Database/Metadata Store

databaseremote sensing

I'm a Remote Sensing PhD student, and as such I have a large number of satellite images that I'm working with. I'm starting to fail to keep track of them all and I have a lot of metadata that I want to track for each image (sensor, resolution, processing steps, format, source etc).

I have been using the SPECCHIO database for storing Spectral Libraries for a while, and was wondering whether anything similar exists for storing images. I've had a search and can't seem to find anything, but that doesn't mean that it doesn't exist!

Ideally I'm looking for something which can store a database of metadata and allow you to search for images that meet certain criteria (spatial resolution > 10m, or includes a certain lat/long co-ordinate).

Does anyone know if anything like this exists?

If it doesn't exist then I might have a go at writing something, which may involved SQLite, ENVI, IDL and a lot of late nights…

Best Answer

You can also look into geo-cataloging tools like GeoNetowork (opensource), with the additional benefit of the (normalized) metadata diffusion.

Related Solutions

[GIS] Finding Sentinel tile for specific Long/Lat coordinate

Such a tool already exists. It is called Sentinelsat and the source is available on GitHub. It offers a command line interface and a Python API. It works with Sentinel 1 and 2. The spatial query is based on a polygon and not a point, but otherwise this is exactly what you need.

EDIT: 1) you can return the product ID (or product ID list) using the query function. And from the command line, you can omit the -d option in order not to launch the download (and use the -f option to create the footprint of each image) 2) Concerning the geojson, you can see below that a wkt could be used directly instead. As mentionned by @ThingumaBob, you can create a tiny polygon based on your lat/long coordinates. But in fact, I've tested it with a point GeoJason and it also worked fine. So there is no need to convert your point into polygon.

# search by polygon, time, and Hub query keywords
footprint = geojson_to_wkt(read_geojson('map.geojson'))
products = api.query(footprint,
                     date = ('20151219', date(2015, 12, 29)),
                     platformname = 'Sentinel-2',
                     cloudcoverpercentage = (0, 30))

which could be adjusted into

# search by point, time, and Hub query keywords

products = api.query('POINT({0} {1})'.format(longitude,latitude),
                     date = ('20151219', date(2015, 12, 29)),
                     platformname = 'Sentinel-2',
                     cloudcoverpercentage = (0, 30))

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