:satellite: All You Need to Know About Deep Learning - A kick-starter
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- ipyleaflet
- folium
- mapping
- python
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Rasterio reads and writes geospatial raster datasets
- python
- gis
- raster
- gdal
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
Train a deep learning net with OpenStreetMap features and satellite imagery.
Python package for earth-observing satellite data processing
- python
- satellite
- weather
- hacktoberfest
Python bindings and utilities for GeoJSON
- python
- geojson
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
- 3d-city-model
- 3d-tiles
- geospatial
- gis
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
Python version of the SGP4 satellite position library
The open source software to build cool stuff with locomotion
- public-transportation
- navitia
- open-api
- journey-planner
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
Tools for working with GTFS public transit data in ArcGIS
- spatial-analysis
- data-management
- gtfs
- gtfs-rt
Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
- openstreetmap
- overpass-api
- urban-planning
- urban-sprawl
(DEPRECATED) Thin wrapper around MobilityData/gtfs-validator