217 Open source projects that are alternatives of or similar to GoogleEarthEngine-side-projects

A python package that extends Google Earth Engine.

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

Earth Observation Data Access Gateway

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

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

Xarray backend to Copernicus Sentinel-1 satellite data products

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

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

Awesome Spectral Indices in Python.

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

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

Examples for a blog series on Geospatial Julia using ArchGDAL

Satellite imagery for dummies.

Satellite Stereo Pipeline

Satellite image time series in R

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

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

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

A Curated List of Python Resources for Earth Sciences

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Search, download, and preprocess Landsat imagery 🛰️

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

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

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

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

The STARFM fusion model for Python

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

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

interactive notebooks from Planet Engineering

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

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

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

To help quickstart impact work with Satellogic [hyperspectral] data

Detect container ships in Planet imagery using machine learning

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

Forecasting wildfire danger using deep learning.

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

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Data Preparation for Satellite Machine Learning

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

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

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

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

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

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

Blazing Fast JavaScript Raster Processing Engine

Climate Data Science and Earth Observation with Python.

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

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

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

Search and download Copernicus Sentinel satellite images

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

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

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

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Pre-trained VGG-Net Model for image classification using tensorflow