ms-convSTAR[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
NodeMICMACA Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.
RAMSOfficial TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
neural-road-inspectorAfter 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-impactTo help quickstart impact work with Satellogic [hyperspectral] data
FDCNNThe implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Landsat578Very simple API to download Landsat [1-5, 7, 8] data from Google
moveVisAn 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.
biodivMapRbiodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
modapeMODIS Assimilation and Processing Engine
GGHLThis is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
rsMoveRemote Sensing for Movement Ecology
ExtendedMorphologicalProfilesRemote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
ChangeDetectionRepositoryThis 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.
HSI-Traditional-to-Deep-ModelsPytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
CRC4DockerPython scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
dea-coastlinesExtracting 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.
spectralAwesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
pytorch-psetaePyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
pylandtempAlgorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
spyndexAwesome Spectral Indices in Python.
deepsumDeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
RivWidthCloudPaperA Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images
forestoolsTools for detecting deforestation and forest degradation
SAR2SARSAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory
deepwatermapa deep model that segments water on multispectral images
sarbianWe’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.
ChangeOSChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
carsCARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
pylandsatSearch, download, and preprocess Landsat imagery 🛰️
ee extraA ninja python package that unifies the Google Earth Engine ecosystem.
gskyDistributed Scalable Geospatial Data Server
speckle2voidSpeckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
satproc🛰️ Python library and CLI tools for processing geospatial imagery for ML
whiteboxguiAn interactive GUI for WhiteboxTools in a Jupyter-based environment
eodagEarth Observation Data Access Gateway
Start majaTo process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
piradarRadar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing
programming-for-gis-and-rsMaterials 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.
MHCLNDeep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
deeprivera deep-learning-based river centerline extraction model
ww tvol studyProcess global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
CoastSat.slopeBeach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
geeSharp.jsPan-sharpening in the Earth Engine code editor