497 Open source projects that are alternatives of or similar to wildfire-forecasting

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Earth Observation Data Access Gateway

Search, download, and preprocess Landsat imagery 🛰️

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

This is an collection of blog posts turned into a course format

An interactive GUI for WhiteboxTools in a Jupyter-based environment

To help quickstart impact work with Satellogic [hyperspectral] data

Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231)

A curated list of resources focused on Machine Learning in Geospatial Data Science.

An advanced geospatial data analysis platform

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

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

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

A python package that extends Google Earth Engine.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

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

Open Data Cube analyses continental scale Earth Observation data through time

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

A Python package for delineating nested surface depressions from digital elevation data.

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

WhiteboxTools Python Frontend

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

Google Earth Engine land-use change tutorial for SCBI

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

A library to create interactive maps of geographical datasets

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

ArcGIS Python Toolbox for WhiteboxTools

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

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

The STARFM fusion model for Python

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

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

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

Google Earth Engine side projects and tutorial scripts

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

A Python interface between Earth Engine and xarray for processing time series data

Xarray backend to Copernicus Sentinel-1 satellite data products

Blazing Fast JavaScript Raster Processing Engine

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

A curated list of Google Earth Engine resources

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Command-line runner for Google Earth Engine Playground scripts

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

Satellite imagery for dummies.

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

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

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

A collection of 300+ Python examples for using Google Earth Engine in QGIS

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

deck.gl layers and WebGL modules for client-side satellite imagery analysis

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

A custom layer based on Mapbox

Open license climbing data

Utilities for the Japanese regional grid square system defined in Japanese Industrial Standards (JIS X 0410 地域メッシュ).

Map downloader based on GMap.NET

CLI for downloading map tiles from WMS server with given bbox and zoom.

Pan-sharpening in the Earth Engine code editor

InVEST: models that map and value the goods and services from nature that sustain and fulfill human life.