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Top 153 remote-sensing open source projects

ms-convSTAR
[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
RAMS
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
neural-road-inspector
After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.
open-impact
To help quickstart impact work with Satellogic [hyperspectral] data
FDCNN
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Landsat578
Very simple API to download Landsat [1-5, 7, 8] data from Google
remote-sensing-workshops
2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing
moveVis
An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
biodivMapR
biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
massive-change-detection
QGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery
GGHL
This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
LoveDA
[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
ChangeDetectionRepository
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
CRC4Docker
Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
dea-coastlines
Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
DSMSCN
[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.
pytorch-psetae
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Geospatial Python CourseV1
This is an collection of blog posts turned into a course format
earthengine-py-examples
A collection of 300+ examples for using Earth Engine and the geemap Python package
deepsum
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
RivWidthCloudPaper
A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images
SAR2SAR
SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory
dfc2020 baseline
Simple Baseline for the IEEE GRSS Data Fusion Contest 2020
deepwatermap
a deep model that segments water on multispectral images
sarbian
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
ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
cars
CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
pylandsat
Search, download, and preprocess Landsat imagery 🛰️
gsky
Distributed Scalable Geospatial Data Server
speckle2void
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
satproc
🛰️ Python library and CLI tools for processing geospatial imagery for ML
PyTorch-Segmentation-Zoo
A PyTorch collection of semantic segmentation tools.
piradar
Radar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing
programming-for-gis-and-rs
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.
MHCLN
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
deepriver
a deep-learning-based river centerline extraction model
ww tvol study
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
CoastSat.slope
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
61-120 of 153 remote-sensing projects