208 Open source projects that are alternatives of or similar to Landsat578

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

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

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

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

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

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

Blazing Fast JavaScript Raster Processing Engine

Detect container ships in Planet imagery using machine learning

Data Preparation for Satellite Machine Learning

Search, download, and preprocess Landsat imagery 🛰️

R Package to make Landsat8 data accessible

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

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

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

Xarray backend to Copernicus Sentinel-1 satellite data products

To help quickstart impact work with Satellogic [hyperspectral] data

interactive notebooks from Planet Engineering

Google Earth Engine side projects and tutorial scripts

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

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

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

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

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

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

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

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

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

Satellite Stereo Pipeline

A python package that extends Google Earth Engine.

Pan-sharpening in the Earth Engine code editor

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

a deep model that segments water on multispectral images

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

Search and download Copernicus Sentinel satellite images

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

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

Awesome Spectral Indices in Python.

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

Satellite Imagery Feature Detection (68 out of 419)

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

Live satellite imagery for your desktop background

Tools for detecting deforestation and forest degradation

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Examples for a blog series on Geospatial Julia using ArchGDAL

MODIS Assimilation and Processing Engine

Remote Sensing for Movement Ecology

Urban change model designed to identify changes across 2 timestamps

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

Visualizing ASTER and LANDSAT satellite data using THREE.js

A U-Net for solar panel identification and segmentation

[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images

Analysis satellite images of typhoons in deep-learning (CNN).

We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing. SARbian is free for use in research, education or operational work.

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

Kitware's system for 3D building reconstruction for the IARPA CORE3D program