eemontA python package that extends Google Earth Engine.
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3D-PV-LocatorRepo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
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DanesfieldKitware's system for 3D building reconstruction for the IARPA CORE3D program
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community-sprintsThis repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development
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sitsSatellite image time series in R
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rLandsatR Package to make Landsat8 data accessible
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xarray-sentinelXarray backend to Copernicus Sentinel-1 satellite data products
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disasterwatchAccess satelite imagery where it is needed
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Julia GeospatialExamples for a blog series on Geospatial Julia using ArchGDAL
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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.
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shipsnet-detectorDetect container ships in Planet imagery using machine learning
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goes2goDownload and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
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dea-coastlinesExtracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
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localtileserver🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
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U-Net-SatelliteRoad Detection from satellite images using U-Net.
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satimageCode and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"
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google-maps-at-88-mphGoogle Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
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BvQuickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.
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ee extraA ninja python package that unifies the Google Earth Engine ecosystem.
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eodagEarth Observation Data Access Gateway
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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Start majaTo process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
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himawari-rx📡 Receive images from weather satellite Himawari-8 via HimawariCast.
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earthacrosstimeTwitter bot that posts videos showcasing how random locations in the world have changed since 1984.
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ResDepth[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
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Awesome Sentinelcurated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
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SpaceEyeLive satellite imagery for your desktop background
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sentinel-utilA CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data
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geoblazeBlazing Fast JavaScript Raster Processing Engine
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deck.gl-rasterdeck.gl layers and WebGL modules for client-side satellite imagery analysis
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deep typhoonAnalysis satellite images of typhoons in deep-learning (CNN).
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Land-Cover-Classification-using-Sentinel-2-DatasetApplication 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.
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Label MakerData Preparation for Satellite Machine Learning
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skeyenetRoad and Building Segmentation in Satellite Imagery
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spyndexAwesome Spectral Indices in Python.
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ChangeFormerOfficial PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
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open-impactTo help quickstart impact work with Satellogic [hyperspectral] data
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forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
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Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
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irisSemi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
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fabricUrban change model designed to identify changes across 2 timestamps
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Highres NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
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laikaExperiments with satellite image data
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awesome-spectral-indicesA ready-to-use curated list of Spectral Indices for Remote Sensing applications.
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Stac SpecSpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
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Notebooksinteractive notebooks from Planet Engineering
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Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
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Landsat578Very simple API to download Landsat [1-5, 7, 8] data from Google
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pixel-decoderA tool for running deep learning algorithms for semantic segmentation with satellite imagery
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