There are 4 repositories under geospatial-processing topic.
Geo Spatial Data Analytics on Spark
MicaSense RedEdge and Altum image processing tutorials
Raster manipulation for the Julia language
The Raster Foundry web application.
AWS Lambda friendly GDAL Docker images and AWS Lambda layer
Python toolbox to process large vector files faster.
Analysis of georeferenced rasters and vectors
A command-line tool for reducing the size of GeoJSON files.
Universal solution for geospatial data tailored to data lakehouse systems for the first time in the industry
InSAR phase linking library for PS/DS processing
Extract and Visualize location from any file
Pipeline for Observational Data Processing Analysis and Collaboration
A tool to create a Voronoi diagram for polygons
A proof-of-concept for transforming UBC's Vancouver Campus into a Minecraft world through the use of geospatial data processing and deep learning.
A python library for geo-spatial processing and machine learning
Sentinel-1 reader
A GPS framework for .Net, including device detection, diagnostics, emulators, and a NMEA protocol interpreter
Using neural networks to identify glacier calving fronts from satellite imagery
Automated Grounding Line Delineation
A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.
Python-based geospatial analysis codes related to: GOES-16 satellite data, national land cover database (NLCD), elevation maps, building footprints
A geospatial framework for .NET, including Longitude, Latitude, Position, Angle, Distance, and Speed objects
Go implementation of turfjs
Tools for working with the Australian Hydrological Geospatial Fabric (geofabric)
Integration examples and showcase of <geosys/>platform capabilities.
Extract from AIXM (Aeronautical Information Exchange Modele) files to GeoJSON (Geographic JSON) and Openair files
Your data aggregrated into nicely shaped polygons for visual and tabular output.
Open Source GIS Data is a website where people can find open source GIS data and resources for interacting with that data.
Toolkit created to do extraction, gap-filling and trend analysis over Sentinel 2 time-series from Earth Engine