Stars
This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
InSAR Scientific Computing Environment version 2
Some code snippets for GIS tasks
An extension of django rest framework, providing a configurable password reset strategy
📚 Freely available programming books
This is the ResNet50 implementation of the Eurosat dataset.
The solution to create and share maps, dashboards, geostories with 3D support on the web. And it is open-source too!
A plugin combining geojson-vt with leafletjs
MapLibre GL JS - Interactive vector tile maps in the browser
Slice GeoJSON into vector tiles on the fly in the browser
A step-by-step tutorial to create a geowebcache layer from OSM data which will look a lot like Google Maps
A noGDAL tool for reading and writing geotiff files
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A Curated List of Python Resources for Earth Sciences
Add time dimension capabilities on a Leaflet map.
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
#Mentor4Nepal Initiative is for recent graduates and early career professionals focusing on the enhancement of one’s skill set, support for a research project, and a collaborative publication.
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Probably the best curated list of data science books in Python
An interactive GUI for WhiteboxTools in a Jupyter-based environment
Experiments to detect and classify residential buildings from satellite images
All Algorithms implemented in Python
pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organization…
OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.