geotiff.js is a small library to parse TIFF files for visualization or analysis. It is written in pure JavaScript, and is usable in both the browser and node.js applications.
-
Updated
Oct 15, 2024 - JavaScript
geotiff.js is a small library to parse TIFF files for visualization or analysis. It is written in pure JavaScript, and is usable in both the browser and node.js applications.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Spatial data processing for geomodeling
Python library for management of geospatial data in GeoServer.
ESA Earth Observation Toolbox and Java Development Platform
Accompanying resources for the book 'Agent-Based Modelling and Geographical Information Systems: A Practical Primer'.
A tidy Python package for geospatial computation
Analysis of georeferenced rasters, vectors and point clouds
Aggregating gridded data (xarray) to polygons
Extract raster data from ArcGIS/ESRI formats
Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
Global FloodPLAIN mapping using a geomorphic algorithm
Tools for raster data including geophysical applications and digital elevation models
Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/
Geospatial toolkit for Python
UArizona DataLab Workshops
parallel Raster Processing Library (pRPL) is a MPI-enabled C++ programming library that provides easy-to-use interfaces to parallelize raster/image processing algorithms
Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble
Spatial operations extend fiona and rasterio
A foundational Geographic Information System project developed in Python, demonstrating basic GIS operations like handling spatial data, triangulation, and spatial analysis. This archived project serves as an early career milestone and a resource for those new to GIS programming.
Add a description, image, and links to the raster-data topic page so that developers can more easily learn about it.
To associate your repository with the raster-data topic, visit your repo's landing page and select "manage topics."