django-rgd-imagery 0.2.9

No project description provided

Resonant GeoData Imagery

A submodule of Resonant GeoData for storing imagery supporting annotations and spatial reference.

Installation

Follow the instructions for the core django-rgd app first, then

pip install --find-links https://girder.github.io/large_image_wheels django-rgd-imagery

Add this app to your INSTALLED_APPS along with the core RGD app:

INSTALLED_APPS += [
    'django.contrib.gis',
    'rgd',
    'rgd_imagery',
]

Configurations

The RGD imagery submodule has an optional setting:

• RGD_STAC_BROWSER_LIMIT: (default of 1000) limit the response of STAC collection queries. An exception will be raised if a collection is requested with more than this many items.
• Use the MEMCACHE_* options from django-rgd to configure large_image for use with Memcached.

Models

This app adds quite a few additional models on top of the core app for storing image data

Management Commands

• rgd_imagery_demo: populate the database with example image data (image sets, annotations, rasters, etc.).
• rgd_imagery_landsat_rgb_s3: populate the database with example raster data of the RGB bands of Landsat 8 imagery hosted on a public S3 bucket.

Notable Features

• STAC Item ingest/export for raster imagery
• Image tile serving through large_image
• Image annotation support
• Cloud Optimized GeoTIFF conversion utility
• Extract ROIs from imagery in pixel and world coordinates