Raster Libraries

14 Components & Libraries

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Raster Libraries

MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.

A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.

OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies.

OptimizeRasters is a set of tools for accomplishing three tasks: converting raster data to optimized file formats, moving data to cloud storage, and creating raster proxies. The result is more effici…

Limited Error Raster Compression

LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type (not just RGB or Byte). Users set the maximum compression error per pixel while encoding, s…

Touch Terrain: A python app to create 3D printable terrain models (STL/OBJ) from only elevation data (via Google Earth Engine) or from a local geotiff. Has been used for CNC terrain models. Runs as a web app (http://touchterrain.org), as .py file (standalone.py) or as jupyter notebook. Docker image: https://github.com/ChHarding/TouchTerrain_jupyter_docker

For more in-depth information: TouchTerrain reads Digital Elevation model (DEM) data within a geographical extent (downloaded from Earth Engine or from a local raster file) and from it creates a 3D m…

Google Earth Enterprise - Open Source

Earth Enterprise is the open source release of Google Earth Enterprise, a geospatial application which provides the ability to build and host custom 3D globes and 2D maps. Earth Enterprise does not p…

A package built to support working with spatial data using open source python

EarthPy makes it easier to plot and manipulate spatial data in Python. Python is a generic programming language designed to support many different applications. Because of this, many commonly perform…

A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

Modern browsers (e.g. Chrome or Firefox) will render the JSON as a tree. To run the tests, just install the necessary dependencies via Then, you can run from the root of the repository.

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Additionally, it also provides multiple methods for computing land surface emissivity. It is targeted towards supporting research and science workflows in many fields including climate science, earth…

Build your own Raster dynamic map tile services

To install from PyPI and run: To install from sources and run for development: Ready to use/deploy images can be found on Github registry.

Raster-based Spatial Analytics for Python

📍 Fast, Accurate Python library for Raster Operations 🎊 Free of GDAL / GEOS Dependencies 🌍 General-Purpose Spatial Processing, Geared Towards GIS Professionals Xarray-Spatial implements common raster…

Python library for management for geospatial data in GeoServer.

Geoserver-rest is the open source library written in python and contributors are needed to keep this library moving forward. Any kind of contributions are welcome. Here are the basic rule for the new…

CLI for converting images to seamless tiles

Command line utility for converting images to seamless tiles. It overlays images with an alpha gradient. The resulting tiles can be used as textures in games, compositing and 3D modeling applications…

Python bindings to PDFium

pypdfium2 includes helpers to simplify common use cases, while the raw PDFium/ctypes API remains accessible as well. This will use a pre-built wheel package, the easiest way of installing pypdfium2. …

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