539 Open source projects that are alternatives of or similar to land-cover-to-land-use-classification

Earth Observation Data Access Gateway

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

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

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

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

A python package that extends Google Earth Engine.

Blazing Fast JavaScript Raster Processing Engine

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

To help quickstart impact work with Satellogic [hyperspectral] data

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

Search, download, and preprocess Landsat imagery 🛰️

Very simple API to download Landsat [1-5, 7, 8] data from Google

Open Data Cube analyses continental scale Earth Observation data through time

A curated list of Google Earth Engine resources

An advanced geospatial data analysis platform

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

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

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

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

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

A simple yet highly configurable bot that tweets geotagged aerial imagery of a random location in the world.

Awesome Spectral Indices in Python.

Google Earth Engine land-use change tutorial for SCBI

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

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

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

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

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

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

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

Xarray backend to Copernicus Sentinel-1 satellite data products

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

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

Command-line runner for Google Earth Engine Playground scripts

Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.

Satellite imagery for dummies.

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

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

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

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

WhiteboxTools Python Frontend

Satellite image time series in R

Building footprint segmentation from satellite and aerial imagery

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

ArcGIS Python Toolbox for WhiteboxTools

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

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

Google Earth Engine side projects and tutorial scripts

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Pan-sharpening in the Earth Engine code editor

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

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

Forecasting wildfire danger using deep learning.

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

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

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

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.

An interactive GUI for WhiteboxTools in a Jupyter-based environment

a deep model that segments water on multispectral images