GGHLThis is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
Stars: ✭ 309 (+896.77%)
dea-coastlinesExtracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Stars: ✭ 24 (-22.58%)
geowombatGeoWombat: Utilities for geospatial data
Stars: ✭ 34 (+9.68%)
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.
Stars: ✭ 104 (+235.48%)
pylandtempAlgorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Stars: ✭ 110 (+254.84%)
LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Stars: ✭ 111 (+258.06%)
Notebooksinteractive notebooks from Planet Engineering
Stars: ✭ 339 (+993.55%)
pytorch-psetaePyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Stars: ✭ 117 (+277.42%)
ms-convSTAR[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
Stars: ✭ 17 (-45.16%)
Landsat578Very simple API to download Landsat [1-5, 7, 8] data from Google
Stars: ✭ 54 (+74.19%)
forestoolsTools for detecting deforestation and forest degradation
Stars: ✭ 22 (-29.03%)
Datacube CoreOpen Data Cube analyses continental scale Earth Observation data through time
Stars: ✭ 285 (+819.35%)
modapeMODIS Assimilation and Processing Engine
Stars: ✭ 19 (-38.71%)
Label MakerData Preparation for Satellite Machine Learning
Stars: ✭ 377 (+1116.13%)
rsMoveRemote Sensing for Movement Ecology
Stars: ✭ 25 (-19.35%)
Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Stars: ✭ 261 (+741.94%)
HSI-Traditional-to-Deep-ModelsPytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
Stars: ✭ 72 (+132.26%)
trends.earthtrends.earth - measure land change
Stars: ✭ 69 (+122.58%)
shipsnet-detectorDetect container ships in Planet imagery using machine learning
Stars: ✭ 30 (-3.23%)
Custom ScriptsA repository of custom scripts to be used with Sentinel Hub
Stars: ✭ 322 (+938.71%)
deepsumDeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
Stars: ✭ 39 (+25.81%)
RAMSOfficial TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Stars: ✭ 55 (+77.42%)
FDCNNThe implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
Stars: ✭ 54 (+74.19%)
SAR2SARSAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory
Stars: ✭ 23 (-25.81%)
DeepnetsforeoDeep networks for Earth Observation
Stars: ✭ 393 (+1167.74%)
biodivMapRbiodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
Stars: ✭ 18 (-41.94%)
Pyrosarframework for large-scale SAR satellite data processing
Stars: ✭ 274 (+783.87%)
massive-change-detectionQGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery
Stars: ✭ 18 (-41.94%)
SentinelsatSearch and download Copernicus Sentinel satellite images
Stars: ✭ 576 (+1758.06%)
OtbGithub mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb
Stars: ✭ 265 (+754.84%)
ExtendedMorphologicalProfilesRemote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
Stars: ✭ 32 (+3.23%)
Whitebox ToolsAn advanced geospatial data analysis platform
Stars: ✭ 362 (+1067.74%)
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.
Stars: ✭ 311 (+903.23%)
ecmwf modelsPython package for downloading ECMWF reanalysis data and converting it into a time series format.
Stars: ✭ 27 (-12.9%)
CRC4DockerPython scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
Stars: ✭ 84 (+170.97%)
Wetland Hydro GeeMapping wetland hydrological dynamics using Google Earth Engine (GEE)
Stars: ✭ 20 (-35.48%)
DSMSCN[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.
Stars: ✭ 63 (+103.23%)
lsru🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA
Stars: ✭ 24 (-22.58%)
spectralAwesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Stars: ✭ 68 (+119.35%)
Dota DoaiThis repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
Stars: ✭ 326 (+951.61%)
geoblazeBlazing Fast JavaScript Raster Processing Engine
Stars: ✭ 80 (+158.06%)
earthengine-py-examplesA collection of 300+ examples for using Earth Engine and the geemap Python package
Stars: ✭ 76 (+145.16%)
spyndexAwesome Spectral Indices in Python.
Stars: ✭ 56 (+80.65%)
NodeMICMACA Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.
Stars: ✭ 54 (+74.19%)
RivWidthCloudPaperA Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images
Stars: ✭ 62 (+100%)
Awesome GeeA curated list of Google Earth Engine resources
Stars: ✭ 292 (+841.94%)
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.
Stars: ✭ 37 (+19.35%)
PyintPython&GAMMA based interfermetry toolbox for single or time-series of InSAR data processing.
Stars: ✭ 30 (-3.23%)
Earthengine Py NotebooksA collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Stars: ✭ 807 (+2503.23%)
SpectralPython module for hyperspectral image processing
Stars: ✭ 290 (+835.48%)
open-impactTo help quickstart impact work with Satellogic [hyperspectral] data
Stars: ✭ 21 (-32.26%)