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Resonant GeoData Imagery

Kitware PyPI

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',
]

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

Metadata

Release files for django-rgd-imagery 0.3.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for django-rgd-imagery 0.3.11
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django-rgd-imagery-0.3.11.tar.gz 1.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for django-rgd-imagery 0.3.11
File Interpreter ABI Platform
django_rgd_imagery-0.3.11-py3-none-any.whl Python 3 none any Details

Total release size: 2.7 MB

Release files / django-rgd-imagery-0.3.11.tar.gz

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