1976 Open source projects that are alternatives of or similar to Geospatial Machine Learning

Earth Observation Data Access Gateway

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

An open source framework for deep learning on satellite and aerial imagery.

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

An interactive GUI for WhiteboxTools in a Jupyter-based environment

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

To help quickstart impact work with Satellogic [hyperspectral] data

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

ArcGIS Python Toolbox for WhiteboxTools

Satellite imagery for dummies.

A collection of Python packages for geospatial analysis with binder-ready notebook examples

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

A collection of 300+ examples for using Earth Engine and the geemap Python package

A ninja python package that unifies the Google Earth Engine ecosystem.

A spatial aware implementation of elliptical Fourier analysis

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

An advanced geospatial data analysis platform

Blazing Fast JavaScript Raster Processing Engine

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Satellite image time series in R

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

Building footprint segmentation from satellite and aerial imagery

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

A Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data

Satellite image processing pipeline to classify land-cover and land-use

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

A python package that extends Google Earth Engine.

WhiteboxTools Python Frontend

Static website for viewing and analyzing GeoTIFF's in the browser

A curated list of Google Earth Engine resources

A collection of Earth Engine Apps created using geemap, voila, and heroku

geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).

Display GeoTIFFs and soon other types of raster on your Leaflet Map

Progression path for a GIS analyst who wants to become proficient in using Python for GIS: from apprentice to guru

A Python GeoScript Implementation

A modular geospatial engine written in python

A flexible Python front-end inference SDK based on TensorRT

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Distributed version-control for geospatial and tabular data

Distributed Scalable Geospatial Data Server

Search, download, and preprocess Landsat imagery 🛰️

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

An interface to USDA Quick Stats data with mapping capabilities.

A Go language port of Turf.js

Open alternative to the Google Elevation API!

Fast and easy webmapping.

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Examples for a blog series on Geospatial Julia using ArchGDAL

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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

An open-source semi-automated processing chain for urban OBIA classification.

Basic implementation of the __geo_interface__

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Package kml provides convenience methods for creating and writing KML documents.

Awesome Spectral Indices in Python.

A multithreaded Rust library with FFI for converting WGS84 longitude and latitude coordinates into BNG (OSGB36) Eastings and Northings and vice versa (using OSTN15)

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning