🗂️ 🔍 Geospatial Data Management and Search API - Django Apps

Last update: Nov 01, 2022

Overview

Geospatial Data API in Django

Resonant GeoData (RGD) is a series of Django applications well suited for cataloging and searching annotated geospatial imagery, shapefiles, and full motion video datasets.

A publicly deployed instance of this application is available at https://www.resonantgeodata.com - find the deployment code for this at ResonantGeoData/RD-OpenGeo

Search Interface	Raster Viewer with ROI Extraction Tool

Highlights

Faceted searching of spatiotemporal data
Supports normal imagery and overhead raster imagery
Supports image annotations: polygons, bounding boxes, keypoints, and run-length-encoded masks
Built-in image tile server
3D viewer for point clouds and mesh files
Extract Regions of Interest from imagery

Documentation

Each app's README file contains an overview of functionality.

Documentation is currently a work in progress.

For general questions about the project, its applications, or about software usage, please create an issue directly in this repository. You are also welcome to send us an email at [email protected] with the subject line including Resonant GeoData.

Connections

Resonant GeoData is built on top of Kitware's Girder 4 platform.
GeoJS: we leverage GeoJS for our interactive map view.
large_image: we leverage large_image to serve image tiles and extract thumbnails.
VTK.js: we use VTK.js for the client-side 3D viewer for 3D data.
KWIVER: we leverage KWIVER's Full Motion Video (FMV) processing capabilities to extract spatial information from FMV files.
KWCOCO: KWCOCO is an extension of the COCO image annotation format which we support for ingesting annotated imagery.

Contributing

Please see the adjacent DEVELOPMENT.md file for all development instructions.

Comments

Dev/xdoctest

Builds on #493

Adds declaration of xdoctest as a test dependency and adds the flags to tox. I also added a second simple doctest to spatial_search_params.

opened by Erotemic 12
Redesign geodata models to support non-spatial data

Per team discussion, we need to support non-spatial imagery as well.

I will brainstorm a new model hierarchy and post it here, then sync up with David about the implementation. I already have a few ideas about how we can make this work in a general fashion while keeping the SpatialEntry concept that informed our initial model design.

opened by banesullivan 12
STAC Browser

This imports version 2.0.0 of the STAC Browser. The build process was difficult to automate (a couple patches), so I made the decision to build and commit the result into the tree. STAC Browser 3.0.0 is the next release, so we can automate the build process there.

The existing STAC-API was fleshed out a bit more to handle the browser.

The STAC Browser is visible at /rgd_imagery/stac_browser/.

Here is an example browsing the user's "default" collection:

opened by mcovalt 10
Allow lazy random access to files in Storage on S3
When a Django FieldFile (the object referenced by a FileField) is opened, both in development with MinIO and in production with AWS S3, the Storage layers download a whole file write it to a SpooledTemporaryFile (which is in-memory for small content and on-disk for larger content)

S3Boto3Storage: https://github.com/jschneier/django-storages/blob/770332b598712da27ecdba75c9e202ad6a1a8722/storages/backends/s3boto3.py#L132

MinioStorage: https://github.com/py-pa/django-minio-storage/blob/8ce77cd8eae0d86fa3200e74cde64144c0338f37/minio_storage/files.py#L130

However, many operations need random access to only a small part of the file's content.

If all that's necessary is a Python file-like object (which is the same interface that a Django FieldFile naturally provides), we could look into developing a new Storage wrapper which lazily loads the content of the file-like object, internally using HTTP Range requests to only download the required parts just-in-time to be read from. This would likely also include some caching of the parts once they are retrieved.

If external tools (like GDAL) need access via a filesystem path (i.e. what's provided by field_file_to_local_path), then FUSE may be the most appropriate abstraction. However, FUSE could not be run on Heroku and might generally be more difficult to install for new developers.

In either case (Python file-like object or FUSE), the underlying logic for how to fetch and cache portions of file content may be the same.
opened by brianhelba 10

psycopg2.errors.UniqueViolation: duplicate key value error

When running the demo data commands that I have, if the celery worker is set up to run in the background, an integretiy error for duplicate keys happens on the image_entry.save() call here:

https://github.com/ResonantGeoData/ResonantGeoData/blob/998a6c3995b4421c3632979a249fb78d66e1108f/rgd/geodata/models/imagery/etl.py#L69

The error:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
    return self.cursor.execute(sql, params)
psycopg2.errors.UniqueViolation: duplicate key value violates unique constraint "geodata_imageentry_image_file_id_key"
DETAIL:  Key (image_file_id)=(14) already exists.

This is making me think that when we create a new ImageEntry in the tasks, there is some sort of race condition between jobs for the same ImageFile... which shouldn't happen? I'm not really sure what is going on here.

Steps to reproduce

Clear the database volume
Apply migrations: docker-compose run --rm django ./manage.py migrate
In one session, launch the celery worker: docker-compose up celery and wait until ready
In another session, run the Landsat demo data command: docker-compose run --rm django ./manage.py landsat_data -c 3
- Use the changes from #296
Observe the error

Error Message

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
    return self.cursor.execute(sql, params)
psycopg2.errors.UniqueViolation: duplicate key value violates unique constraint "geodata_imageentry_image_file_id_key"
DETAIL:  Key (image_file_id)=(14) already exists.


The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "./manage.py", line 28, in <module>
    main()
  File "./manage.py", line 24, in main
    execute_from_command_line(sys.argv)
  File "/usr/local/lib/python3.8/site-packages/django/core/management/__init__.py", line 419, in execute_from_command_line
    utility.execute()
  File "/usr/local/lib/python3.8/site-packages/django/core/management/__init__.py", line 413, in execute
    self.fetch_command(subcommand).run_from_argv(self.argv)
  File "/usr/local/lib/python3.8/site-packages/django/core/management/base.py", line 354, in run_from_argv
    self.execute(*args, **cmd_options)
  File "/usr/local/lib/python3.8/site-packages/django/core/management/base.py", line 398, in execute
    output = self.handle(*args, **options)
  File "/opt/django-project/rgd/geodata/management/commands/landsat_data.py", line 49, in handle
    helper.load_raster_files(_get_landsat_urls(count))
  File "/opt/django-project/rgd/geodata/management/commands/_data_helper.py", line 80, in load_raster_files
    imentries = load_image_files(
  File "/opt/django-project/rgd/geodata/management/commands/_data_helper.py", line 56, in load_image_files
    result = load_image_files(imfile)
  File "/opt/django-project/rgd/geodata/management/commands/_data_helper.py", line 60, in load_image_files
    read_image_file(entry)
  File "/opt/django-project/rgd/geodata/models/imagery/etl.py", line 129, in read_image_file
    _read_image_to_entry(image_entry, file_path)
  File "/opt/django-project/rgd/geodata/models/imagery/etl.py", line 69, in _read_image_to_entry
    image_entry.save()
  File "/opt/django-project/rgd/geodata/models/common.py", line 51, in save
    super(ModifiableEntry, self).save(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/django/db/models/base.py", line 726, in save
    self.save_base(using=using, force_insert=force_insert,
  File "/usr/local/lib/python3.8/site-packages/django/db/models/base.py", line 763, in save_base
    updated = self._save_table(
  File "/usr/local/lib/python3.8/site-packages/django/db/models/base.py", line 868, in _save_table
    results = self._do_insert(cls._base_manager, using, fields, returning_fields, raw)
  File "/usr/local/lib/python3.8/site-packages/django/db/models/base.py", line 906, in _do_insert
    return manager._insert(
  File "/usr/local/lib/python3.8/site-packages/django/db/models/manager.py", line 85, in manager_method
    return getattr(self.get_queryset(), name)(*args, **kwargs)
  File "/usr/local/lib/python3.8/site-packages/django/db/models/query.py", line 1268, in _insert
    return query.get_compiler(using=using).execute_sql(returning_fields)
  File "/usr/local/lib/python3.8/site-packages/django/db/models/sql/compiler.py", line 1410, in execute_sql
    cursor.execute(sql, params)
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 98, in execute
    return super().execute(sql, params)
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 66, in execute
    return self._execute_with_wrappers(sql, params, many=False, executor=self._execute)
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 75, in _execute_with_wrappers
    return executor(sql, params, many, context)
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
    return self.cursor.execute(sql, params)
  File "/usr/local/lib/python3.8/site-packages/django/db/utils.py", line 90, in __exit__
    raise dj_exc_value.with_traceback(traceback) from exc_value
  File "/usr/local/lib/python3.8/site-packages/django/db/backends/utils.py", line 84, in _execute
    return self.cursor.execute(sql, params)
django.db.utils.IntegrityError: duplicate key value violates unique constraint "geodata_imageentry_image_file_id_key"
DETAIL:  Key (image_file_id)=(14) already exists.

bug

opened by banesullivan 9

Large image
Closes #260

This is a simple tile server endpoint. It's not an app as was imagined. There's a 💯abstract™ app in 701293890f75b646d042da877289646ebac88a7f. It started feeling silly for just one endpoint, so it was reverted. It may be useful down the road.

I didn't want to deal with the context manager to download/cleanup S3 files, so instead I'm using /vsis3/ and /vsicurl/. You can see the implementation in 8b4d2fc6f162447c128b1a4fdb17e8353853dd09. I think it's simpler and luckily results in a pretty quick tile server. It was tested with other ETL routines in ed9bd8ae57e3d9c9ff9f891847a051073280b2ce, which seemed to work fine, but that was reverted to stay on topic with this PR.

New endpoints:

api/geodata/imagery/image_entry/<pk>/tiles: get an ImageEntry's metadata

api/geodata/imagery/image_entry/<pk>/tiles/<z>/<x>/<y>.jpg: get an ImageEntry's x, y tile at zoom-level z
opened by mcovalt 9
Rgdc usability improvements
This MR contains 3 small improvements to rgdc.Rgdc.

Add 5 automatic retries on all GET requests. This is to guard against random 503 errors from rate-limiting that would be fixed by simply rerunning the command. The implementation is to bake this into the Session object; see https://www.peterbe.com/plog/best-practice-with-retries-with-requests for the approach.

Add overwrite=False kwarg to download_raster_entry. This will skip files already on disk - handy for speeding up tests and making scripts idempotent.

Perhaps a more controversial one: let download_raster_entry and download_raster_entry_thumbnail directly parse a dict returned by search to find the id, rather than the user having to make another request manually as in the README example or study that dict to find it. I believe this will improve usability for the current use cases, as the users of this client should need to know as little as possible about the internals of RGD's data representation (and web programming in general, for that matter) to get started. But I am open to ideas to implement this in a more principled and future-proof way.
opened by matt-bernstein 8
fix thumbnails and outline geometry
Resolve #176

For future reference, use the following example rasters to verify that the thumbnails are working.

LC08_L1TP_033032_20200422_20200508_01_T1_pixel_qa.tif

landcover_sample_2000.tif

vegdri_emodis_week34_082320.tif

Summary of change:

new admin actions to reprocess image entries and raster entries (calls save to trigger save event and recreate the thumbnail or spatial reference)

added a helper method to reproject an open rasterio raster to a given ESPG

During image thumbnail generation routine: reproject raster to Web Mercator before extracting if the image file has a spatial reference

During raster outline/valid footprint calculation:

first, reproject the raster to the DB's spatial reference (something was off when transforming the extracted geometry)

use rasterio/GDAL to extract a mask and create the GeoJSON feature (as opposed to our own convex hull approach)

Raster detail view page now limits the view bounds on the map

Update centroids in the raster tests since we are extracting the geometry properly now
opened by banesullivan 8
`yield_checksumfiles` function doesn't handle `ChecksumFiles` with file paths as their `name` correctly
To reproduce, run this management script and then try to view the Raster that it creates. The tile requests will fail with 500 errors with errors about wrong file paths in the server log.

I came across this bug when working on Danesfield. On that project we encode the file path of a given ChecksumFile inside the name column - for example, foo/bar/foobar.txt represents a file hierarchy of

foo/ bar/ foobar.txt

This line in RGD is incompatible with this approach, since it assumes the ChecksumFile name is a flat file name instead of a file path. For example, if we have a ChecksumFile with the name foo.tiff, the current code would work:

path = '/tmp/rgd/file_cache/foo.tiff' with yield_checksumfiles([self], path.parent): yield path

Note that path.parent would be /tmp/rgd/file_cache/foo.tiff, which is correct. But if the file name is a/b/c/foo.tiff:

path = '/tmp/rgd/file_cache/a/b/c/foo.tiff' with yield_checksumfiles([self], path.parent): yield path

the call to path.parent would evaluate to /tmp/rgd/file_cache/a/b/c, which is incorrect and leads to 500 errors since the server can't find the files in that location.
bug
opened by mvandenburgh 7
Add more base maps

Add the base maps from here: https://carto.com/help/building-maps/basemap-list/#carto-vector-basemaps

and this one for google imagery: https://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}
feature-request

opened by banesullivan 7

large_image tiling issue with specific dataset

Recently, large_image started failing to serve tiles for this dataset: https://data.kitware.com/#item/5f9c316650a41e3d1920ef90

We were originally using this raster for some testing of the large_image tile serving endpoint, so I know it worked at one point.

Recently, I started seeing this numpy error when trying to serve tiles for this file:

...
                                  File "/usr/local/lib/python3.8/site-packages/nu
django_1    |                     mpy/core/getlimits.py", line 523, in __init__
django_1    |                         raise ValueError("Invalid integer data type
django_1    |                     %r." % (self.kind,))
django_1    |                     ValueError: Invalid integer data type 'f'.

django_1    | [16:42:08] ERROR    Internal Server Error: /api/geodata/imagery/image log.py:224
django_1    |                     _entry/159/tiles/12/830/1565.png
django_1    |                     Traceback (most recent call last):
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/core/handlers/exception.py", line 47, in
django_1    |                     inner
django_1    |                         response = get_response(request)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/core/handlers/base.py", line 181, in
django_1    |                     _get_response
django_1    |                         response = wrapped_callback(request,
django_1    |                     *callback_args, **callback_kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/views/decorators/csrf.py", line 54, in
django_1    |                     wrapped_view
django_1    |                         return view_func(*args, **kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/views/generic/base.py", line 70, in view
django_1    |                         return self.dispatch(request, *args,
django_1    |                     **kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 509, in dispatch
django_1    |                         response = self.handle_exception(exc)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 469, in
django_1    |                     handle_exception
django_1    |                         self.raise_uncaught_exception(exc)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 480, in
django_1    |                     raise_uncaught_exception
django_1    |                         raise exc
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 506, in dispatch
django_1    |                         response = handler(request, *args, **kwargs)
django_1    |                       File
django_1    |                     "/opt/django-project/rgd/geodata/api/tiles.py",
django_1    |                     line 36, in get
django_1    |                         tile_binary = tile_source.getTile(x, y, z)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/cache_util/cache.py", line 102, in
django_1    |                     wrapper
django_1    |                         v = func(self, *args, **kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image_source_gdal/__init__.py", line 692, in
django_1    |                     getTile
django_1    |                         return self._outputTile(tile,
django_1    |                     TILE_FORMAT_NUMPY, x, y, z,
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1486, in
django_1    |                     _outputTile
django_1    |                         tile, mode = self._outputTileNumpyStyle(tile,
django_1    |                     applyStyle, x, y, z, kwargs.get('frame'))
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1444, in
django_1    |                     _outputTileNumpyStyle
django_1    |                         tile = self._applyStyle(tile, self.style, x,
django_1    |                     y, z, frame)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1406, in
django_1    |                     _applyStyle
django_1    |                         min = self._getMinMax('min', entry.get('min',
django_1    |                     'auto'), image.dtype, bandidx, frame)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1318, in
django_1    |                     _getMinMax
django_1    |                         self._scanForMinMax(dtype, frame)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image_source_gdal/__init__.py", line 264, in
django_1    |                     _scanForMinMax
django_1    |                         self._bandRanges[frame]['max'], numpy.iinfo(s
django_1    |                     elf._bandRanges[frame]['max'].dtype).max)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/nu
django_1    |                     mpy/core/getlimits.py", line 523, in __init__
django_1    |                         raise ValueError("Invalid integer data type
django_1    |                     %r." % (self.kind,))
django_1    |                     ValueError: Invalid integer data type 'f'.
django_1    |            ERROR    Internal Server Error: /api/geodata/imagery/image log.py:224
django_1    |                     _entry/159/tiles/12/831/1566.png
django_1    |                     Traceback (most recent call last):
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/core/handlers/exception.py", line 47, in
django_1    |                     inner
django_1    |                         response = get_response(request)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/core/handlers/base.py", line 181, in
django_1    |                     _get_response
django_1    |                         response = wrapped_callback(request,
django_1    |                     *callback_args, **callback_kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/views/decorators/csrf.py", line 54, in
django_1    |                     wrapped_view
django_1    |                         return view_func(*args, **kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/dj
django_1    |                     ango/views/generic/base.py", line 70, in view
django_1    |                         return self.dispatch(request, *args,
django_1    |                     **kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 509, in dispatch
django_1    |                         response = self.handle_exception(exc)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 469, in
django_1    |                     handle_exception
django_1    |                         self.raise_uncaught_exception(exc)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 480, in
django_1    |                     raise_uncaught_exception
django_1    |                         raise exc
django_1    |                       File "/usr/local/lib/python3.8/site-packages/re
django_1    |                     st_framework/views.py", line 506, in dispatch
django_1    |                         response = handler(request, *args, **kwargs)
django_1    |                       File
django_1    |                     "/opt/django-project/rgd/geodata/api/tiles.py",
django_1    |                     line 36, in get
django_1    |                         tile_binary = tile_source.getTile(x, y, z)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/cache_util/cache.py", line 102, in
django_1    |                     wrapper
django_1    |                         v = func(self, *args, **kwargs)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image_source_gdal/__init__.py", line 692, in
django_1    |                     getTile
django_1    |                         return self._outputTile(tile,
django_1    |                     TILE_FORMAT_NUMPY, x, y, z,
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1486, in
django_1    |                     _outputTile
django_1    |                         tile, mode = self._outputTileNumpyStyle(tile,
django_1    |                     applyStyle, x, y, z, kwargs.get('frame'))
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1444, in
django_1    |                     _outputTileNumpyStyle
django_1    |                         tile = self._applyStyle(tile, self.style, x,
django_1    |                     y, z, frame)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1407, in
django_1    |                     _applyStyle
django_1    |                         max = self._getMinMax('max', entry.get('max',
django_1    |                     'auto'), image.dtype, bandidx, frame)
django_1    |                       File "/usr/local/lib/python3.8/site-packages/la
django_1    |                     rge_image/tilesource/base.py", line 1335, in
django_1    |                     _getMinMax
django_1    |                         value =
django_1    |                     self._bandRanges[frame]['max'][bandidx]
django_1    |                     IndexError: index 1 is out of bounds for axis 0
django_1    |                     with size 1

@manthey, any insight here?

FYI, this raster is a part of our demo_data command.

bug

opened by banesullivan 7

kwiver test failing
I cannot reproduce this error outside of the tox testing environment:

https://github.com/ResonantGeoData/ResonantGeoData/runs/5993156571?check_suite_focus=true#step:7:60

I added a skip for the failing test in

https://github.com/ResonantGeoData/ResonantGeoData/commit/cd01ca20c99be4e69500d1bc1732b29a92c2214e

The error logs are: stderr.txt

the most likely culprit is

terminate called after throwing an instance of 'pybind11::error_already_set' what(): ImportError: /usr/local/lib/python3.8/lib-dynload/_posixsubprocess.cpython-38-x86_64-linux-gnu.so: undefined symbol: PyTuple_Type

I cannot figure out why this is all of a sudden failing - no obvious packages have recently been upgraded
bug
opened by banesullivan 1
Persistent S3 test file

We need a persistent file on S3 to test our file handling.

At present, we have the following fixture:

https://github.com/ResonantGeoData/ResonantGeoData/blob/f41be685481d3f62457aba1001faa68012760ffc/testing-utils/rgd_testing_utils/data_fixtures.py#L51-L53

but that is currently failing with object nor found errors.

This is not the first time this has happened and I've updated that fixture. I will temporarily patch this with another file from that bucket, but we really need to find a file, any file on S3 that we can rely on persisting.

opened by banesullivan 0
migrate collection to FileSet
[ ] Add concrete definitions for all models in rgd and rgd_imagery

[ ] Make sure no two images point to the same FileSet (ref #591)

[ ] Change ancillary_files field on Raster to be a manyToManyField to FileSet

[ ] make sure this fileset is not used for an Image

[ ] add annotation on Image to point to FileSet

[ ] Change all relationships to ChecksumFile to point to FileSet per new definitions (Image is the exception and will be well documented why)

Other things to address/start thinking about:

[ ] How does a user upload data? First, create a FileSet, then add ChecksumFiles? how do we implement that in the REST endpoints and Python client cleanly? Can we add some server-rendered pages to handle make this easier for users?

[ ] when getting images from an ImageSet, check each Image's FileSet collection before yielding

think of the use case where two users privately uploaded processed imagery to that ImageSet (through the ProcessedImage models)

initial prototyping done in #566
opened by banesullivan 0
Blog: Making a Schema Crosswalk between Django Models and STAC API

Title: Making a Schema Crosswalk between Django Models and STAC API

Description: Kitware offers ResonantGeoData: a Django web application for visualizing and searching geospatial datasets. We added support for interacting with these datasets via the STAC API. This lightning talk will discuss how we made a schema crosswalk from our current API and data models to comply with the STAC API.
blog

opened by banesullivan 0

Releases(0.2.7)

0.2.7(Nov 15, 2021)

A stable version of 0.2 is here! Please see commit history for a change log (since we squash and merge PRs, this really isn't too bad to look through to see what has changed)
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0.1.2(Jun 11, 2021)

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0.1.1(Apr 26, 2021)

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Resonant GeoData

Geospatial data cataloging with Django

GitHub Repository https://www.resonantgeodata.com

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Releases(0.2.7)

0.2.7(Nov 15, 2021)

0.1.2(Jun 11, 2021)

0.1.1(Apr 26, 2021)

Owner

Resonant GeoData

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