awesome-earthobservation-code
EO toolkit
A curated collection of tools, tutorials, code, and resources for working with Earth Observation data and geospatial satellite imagery
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
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Contents / Earth Observation Introduction | |||
| Earth Observation Text books | Earth Observation: Data, Processing and Applications is an Australian Earth Observation (EO) community undertaking to describe EO data, processing and applications in an Australian context and includes a wide range of local case studies to demonstrate Australia’s increasing usage of EO data | ||
| ESA newcomers guide | The aim of this guide is to help non-experts in providing a starting point in the decision process for selecting an appropriate Earth Observation (EO) solution | ||
| The state of satellites | The satellite systems we use to capture, analyze, and distribute data about the Earth are improving every day, creating bold new opportunities for impact in global development | ||
| Landsats Enduring Legacy | pdf download over 600 pages of remote sensing! | ||
| satellite-imagery | |||
| earth-observation | |||
Contents / Open EO | |||
| Open EO | openEO develops an open API to connect , , and other clients to big Earth observation cloud back-ends in a simple and unified way | ||
| openeo-processes | 48 | almost 2 years ago | Interoperable processes for openEO's big Earth observation cloud processing |
Contents / Remote Sensing.info | |||
| RSGISLib | The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using bindings | ||
| ARCSI | 35 | about 2 years ago | Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others |
| eodatadown | 6 | almost 3 years ago | The Earth Observation Data Downloader (EODataDown) is a tool for automatically downloading and processing EO data to an analysis ready data product. This software forms a core component of a monitoring system based on EO data |
Contents / Python processing of optical imagery (non deep learning) / Download | |||
| EODAG | Command line tool and a plugin-oriented Python framework for searching, aggregating results and downloading remote sensed images while offering a unified API for data access regardless of the data provider | ||
| Sedas API | 3 | about 5 years ago | client library for the SeDAS API |
| esa_sentinel | 51 | over 4 years ago | ESA Sentinel Search & Download API |
| get_modis | 62 | about 4 years ago | Downloading MODIS data from the USGS repository |
| landsatexplore | 223 | almost 2 years ago | Search and download Landsat scenes from EarthExplorer |
| pylandsat | 65 | over 3 years ago | Search, download, and preprocess Landsat imagery |
| Sentinel-download | 189 | almost 8 years ago | Automated download of Sentinel-2 L1C data from ESA (through wget) |
| sentinelsat | 989 | almost 2 years ago | Search and download Copernicus Sentinel satellite images |
| LANDSAT-Download | 205 | almost 6 years ago | Automated download of LANDSAT data from USGS website |
| Landsat-Util | 691 | over 4 years ago | A utility to search, download and process Landsat 8 satellite imagery |
| data-prep-scripts | This collection of and scripts can be used to download data and perform basic data processing functions such as georeferencing, reprojecting, converting, and reformatting data. All scripts are available for download from the LP DAAC User Resources | ||
| Stream NASA data directly into Python objects | Skip the download! Stream NASA data directly into Python objects from | ||
| sat-extractor | 76 | about 4 years ago | Extract Satellite Imagery from public constellations at scale |
Contents / Python processing of optical imagery (non deep learning) / Cloud Native Geospatial | |||
| aws-sat-api-py | 64 | almost 6 years ago | Process Satellite data using AWS Lambda functions |
| GeoLambda | 302 | about 4 years ago | Create and deploy Geospatial AWS Lambda functions |
| rio-viz | 155 | over 2 years ago | Visualize Cloud Optimized GeoTIFF in browser |
| Sentinel-s3 | 12 | almost 7 years ago | libraries for extracting Sentinel-2's metadata from Amazon S3 |
| geocore | 2 | almost 2 years ago | GeoCore is an Open Source Cloud Native (AWS) Geospatial Catalog | GeoCore est un catalogue géospatial Open Source Cloud Native (AWS) |
| cng-workshop | 2 | almost 3 years ago | Intro to cloud-native geospatial workshop |
| cloud-native-geospatial | 0 | almost 3 years ago | resource |
| stac-utils | Tools for working with SpatioTemporal Asset Catalogs (STAC) (perhaps worth going here first for STAC) | ||
Contents / Python processing of optical imagery (non deep learning) / Cloud Native Geospatial / stac-utils | |||
| pystac | 364 | almost 2 years ago | library for working with any SpatioTemporal Asset Catalog (STAC) |
Contents / Python processing of optical imagery (non deep learning) / Cloud Native Geospatial / stac-utils / pystac | |||
| stactools | 104 | almost 2 years ago | Command line utility and library for STAC |
| pystac-client | 164 | almost 2 years ago | client for STAC Catalogs and APIs |
Contents / Python processing of optical imagery (non deep learning) / Cloud Native Geospatial / stac-utils | |||
| pgstac | 154 | almost 2 years ago | Schema, functions and a library for storing and accessing STAC collections and items in |
| stac-fastapi | 251 | almost 2 years ago | STAC API implementation with FastAPI |
| stac-fastapi-pgstac | 56 | almost 2 years ago | PostgreSQL backend for stac-fastapi using pgstac |
| STAC Spec | 802 | almost 2 years ago | SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable |
| stac-validator | 46 | almost 2 years ago | Validator for the stac-spec |
| stackstac | 250 | about 2 years ago | Turn a list of STAC items into a 4D xarray DataArray |
| stac-nb | 34 | almost 4 years ago | STAC in Jupyter Notebooks |
| qgis-stac-plugin | 74 | about 2 years ago | QGIS plugin for reading STAC APIs |
| easystac | 65 | about 4 years ago | A package for simple STAC queries |
| stac-utils | 22 | almost 2 years ago | Provides a class interface for running custom algorithms on STAC ItemCollections |
| pgstac | 154 | almost 2 years ago | Schema, functions and a python library for storing and accessing STAC collections and items in PostgreSQL |
| pystac-client | 164 | almost 2 years ago | client for searching STAC APIs |
| stac-asset | 41 | almost 2 years ago | Read and download STAC Assets, using a variety of authentication schemes |
| stac-server | 74 | about 2 years ago | A Node-based STAC API, AWS Serverless, OpenSearch |
| elastic search | 30 | almost 2 years ago | Elasticsearch backend for stac-fastapi with Opensearch support |
| stac4s | 17 | almost 2 years ago | A library with primitives to build applications using the SpatioTemporal Asset Catalogs specification |
| stac-rs | 85 | almost 2 years ago | implementation of the SpatioTemporal Asset Catalog (STAC) specification |
| stac-table | 6 | over 2 years ago | |
| stac-fields | 8 | about 2 years ago | A minimal STAC library that contains a list of STAC fields with some metadata and helper functions for styling as HTML |
| titiler-pgstac | 80 | almost 2 years ago | TiTiler + PgSTAC |
| stac-api-validator | 20 | almost 2 years ago | A STAC API validation client |
| xpystac | 32 | over 2 years ago | For extending xarray.open_dataset to accept pystac objects |
| stac-pydantic | 64 | almost 2 years ago | Pydantic data models for the STAC spec |
| stac-migrate | 6 | about 2 years ago | A tool to migrate Items, Catalogs and Collections from old versions to the most recent one |
| stac-node-validator | 14 | almost 2 years ago | Simple validator for STAC Items, Catalogs, and Collections. STAC 1.0.0 compliant! |
| stac-geoparquet | 83 | almost 2 years ago | Convert STAC items to geoparquet |
| stac-index | 7 | almost 2 years ago | A service that lists all available and registered STAC catalogs and APIs |
| stac-check | 18 | almost 2 years ago | Linting and validation tool for STAC assets |
| stac-terminal | 16 | almost 3 years ago | Output info on STAC Items in the terminal |
| stac-layer | 48 | almost 3 years ago | Visualize a STAC Item or Collection on a Leaflet Map |
| pgstac-rs | 9 | over 2 years ago | interface to pgstac |
| stac-rs | 85 | almost 2 years ago | Tools and libraries for the SpatioTemporal Asset Catalog (STAC) specification, written in |
Contents / Python processing of optical imagery (non deep learning) / Cloud Native Geospatial | |||
| COG Validator | 55 | almost 3 years ago | Cloud Optimized GeoTIFF validation service |
| titiler | 803 | almost 2 years ago | A modern dynamic tile server built on top of and |
| cogeo-mosaic | 103 | almost 2 years ago | Create and use COG mosaic based on mosaicJSON |
| Sentinel-2-cog | 17 | almost 4 years ago | Convert Sentinel-2 JPEG 2000 to COG with AWS Lambda |
| COG Dumper | 65 | about 5 years ago | Dumps tiles out of a cloud optimized geotiff |
| async-cog-reader | 73 | about 5 years ago | Read Cloud Optimized GeoTiffs without GDAL |
| aiocogeo | 73 | about 5 years ago | Asynchronous cogeotiff reader |
| cogeotiff | 83 | almost 2 years ago | High performance cloud optimised geotiff reader |
| ecw-converter | 6 | over 7 years ago | Dockerised scripts & Nextflow pipeline for converting ecw files to either geotiffs or Cloud Optimised Geotiffs (COGs) |
| COG pptx/pdf | 5 | about 4 years ago | talk on COG |
Contents / Python processing of optical imagery (non deep learning) / Case studies / Projects | |||
| Povetry predition using satellite imagery | 43 | almost 6 years ago | Poverty Prediction by Combination of Satellite Imagery |
| Python from space | 454 | over 8 years ago | Examples for Remote Sensing |
| count blue pixels | 3 | almost 14 years ago | This project is an experiment in using simple image processing techniques on satellite images downloaded from Google Maps in order to quantify the relative density of temporary shelters in adjacent qudarants |
| Satellite imagery analysis with Python | 50 | almost 8 years ago | Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges |
| Satellite imagery in Pakistan | 12 | almost 8 years ago | This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in this repository aims to familiarise with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges |
| SentinelBot | 18 | almost 4 years ago | A twitter bot which processes raw sentinel data |
| ap-latem | 36 | about 2 years ago | Detection of slums and informal settlements from satellite imagery |
| local_structire_wpb-severity | 6 | over 4 years ago | Analysis of drone imagery to characterize forest structure and severity of a tree killing insect |
| Truck_Detection_Sentinel2_COVID19 | 96 | over 6 years ago | This repository is designated to detecting trucks using Sentinel-2 data |
| Artificial Intelligence for Geospatial Analysis with Pytorch’s TorchGeo (multi parts) | An end-to-end deep learning geospatial segmentation project using Pytorch and TorchGeo packages - | ||
Contents / Python processing of optical imagery (non deep learning) / Company specific examples | |||
| Planet notebooks | 632 | almost 2 years ago | interactive notebooks from Planet Engineering |
| Planet-client-API | 276 | almost 2 years ago | client for Planet APIs |
| Maxar GDBx tools | 74 | over 4 years ago | Python SDK for using GBDX |
| gdbx-surface-water | 2 | about 8 years ago | Reservoir surface area detection with Digital Globe imagery and Bayesian methods |
| SentinelHub-py | 820 | almost 2 years ago | Download and process satellite imagery in Python using Sentinel Hub services |
| sentinel2-cloud-detector | 437 | about 2 years ago | Sentinel Hub Cloud Detector for Sentinel-2 images in |
| Orbit predictor | 140 | almost 3 years ago | Python library to propagate satellite orbits |
| up42-py | 136 | almost 2 years ago | Python SDK for UP42, the geospatial marketplace and developer platform |
| S2-superresolution | Deep Learning-based algorithm to upsample all Sentinel-2 bands to 10m. Also an example how to use GPUs on UP42 | ||
| icecube | 81 | almost 5 years ago | Create time-series datacubes for supervised machine learning with ICEYE SAR images |
Contents / Python processing of optical imagery (non deep learning) / Reflectance / pre processing | |||
| Landsat7 errors | Identifies errors in raw values of Landsat 7 | ||
| PyProSail | 23 | over 3 years ago | Python interface to the ProSAIL leaf/canopy reflectance model |
| Py6S | 196 | about 2 years ago | A interface to the 6S Radiative Transfer Model |
| prosail | 130 | over 3 years ago | bindings for the PROSAIL canopy reflectance model |
| ACOLITE_MR | 10 | over 5 years ago | ACOLITE_MR: Atmospheric correction for aquatic applications of metre-scale satellites |
| radiometric_normalization | 33 | about 3 years ago | Implementation of radiometric normalization workflows |
| color_balance | 31 | over 8 years ago | Balance your colors! |
| data-retrieval-in-EO | data-retrieval-in-EO, a project with reports from TU wien | ||
Contents / Python processing of optical imagery (non deep learning) / Python libraries related to EO | |||
| rasterio | 2,286 | almost 2 years ago | Rasterio reads and writes geospatial raster datasets |
| Xarray pyconuk 2018 | 18 | over 7 years ago | Code and slides for my talk at PyCon UK 2018 on XArray |
| RasterStats | 531 | about 2 years ago | Summary statistics of geospatial raster datasets based on vector geometries |
| SatPy | 1,077 | almost 2 years ago | package for earth-observing satellite data processing |
| pyimpute | 125 | over 3 years ago | Spatial classification and regression using Scikit-learn and Rasterio |
| dask-rasterio | 100 | almost 6 years ago | Read and write rasters in parallel using Rasterio and Dask |
| rioxarray | 532 | almost 2 years ago | geospatial xarray extension powered by rasterio |
| xarray-spatial | 848 | almost 2 years ago | Raster-based Spatial Analysis for |
| actinia core | 84 | almost 2 years ago | Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks |
| actinia satellite plugin | 6 | about 2 years ago | This actinia plugin is designed for efficient satellite data handling, especially Landsat and Sentinel-2 scenes |
| Whitebox Python | 383 | almost 2 years ago | WhiteboxTools Frontend |
| ukis-pysat | 27 | over 3 years ago | generic classes and functions to query, access and process multi-spectral and SAR satellite images |
Contents / Python processing of optical imagery (non deep learning) / Testing your code | |||
| image-similarity-measures | Implementation of eight evaluation metrics to access the similarity between two images | ||
| fake-geo-images | A module to programmatically create geotiff images which can be used for unit tests | ||
Contents / Resources for R | |||
| Remote Sensing analysis with R | Builds on above R-Spatial | ||
Contents / Languages other than Python and R | |||
| Georust | A collection of geospatial tools and libraries written in | ||
| ArchGDAL - Julia | 143 | almost 2 years ago | A high level API for GDAL - Geospatial Data Abstract |
Contents / Languages other than Python and R / ArchGDAL - Julia | |||
| ArchGDAL docs | |||
Contents / Languages other than Python and R | |||
| Julia_Geospatial | 67 | almost 4 years ago | Examples for a blog series on Geospatial using ArchGDAL |
| GeoTrellis homepage | GeoTrellis is a geographic data processing engine for high performance applications | ||
Contents / Languages other than Python and R / GeoTrellis homepage | |||
| GeoTrellis on Github - Scala | 1,345 | almost 2 years ago | |
Contents / Languages other than Python and R | |||
| GDAL with GoLang | 291 | over 2 years ago | (golang) wrapper for GDAL, the Geospatial Data Abstraction Library |
| C++ gdalcubes | 122 | over 2 years ago | Earth observation data cubes from GDAL image collections |
| RSGLib | 144 | almost 2 years ago | The remote sensing and GIS software library (RSGISLib) is a set of libraries and commands for the processing of spatial data (raster and vector). Functionality is via interface though |
| Perl extension for GDAL | Geo:: GDAL - extension for the GDAL library for geospatial data | ||
| PDAL | 1,151 | almost 2 years ago | PDAL is Point Data Abstraction Library. GDAL for point cloud data |
| force | 174 | almost 2 years ago | Framework for Operational Radiometric Correction for Environmental monitoring in |
| LLR-landTrendr | 10 | about 10 years ago | Landsat-based Detection of Trends in Disturbance and Recovery algorimth modified to accept LandsatLinkr-processed imagery |
| Global Forest Watch | 280 | almost 2 years ago | Global Forest Watch: An online, global, near-real time forest monitoring tool |
| conda recipes | 8 | over 9 years ago | Conda recipes for remote sensing |
| Landsat-solar-elevation | 1 | about 9 years ago | A web app that plots annual solar elevation at the time of Landsat overpass for locations throughout the earth |
| staccato | 51 | about 3 years ago | implementation of the STAC spec |
| stac4s | 17 | almost 2 years ago | -a library with primitives to build applications using the SpatioTemporal Asset Catalogs specification |
| stac-browser | 288 | almost 2 years ago | A Vue-based STAC browser intended for static + dynamic deployment |
| EO Browser Custom Scripts | 664 | almost 2 years ago | A repository of custom scripts to be used with Sentinel Hub |
| sentinelhub-js | 53 | almost 2 years ago | Download and process satellite imagery in or using Sentinel Hub services |
| s3tbx | 46 | about 2 years ago | A toolbox for the OLCI and SLSTR instruments on board of ESA's Sentinel-3 satellite - |
| s2tbx | 97 | almost 2 years ago | Sentinel 2 Toolbox (s2tbx) - |
| s1tbx | 225 | about 2 years ago | The Sentinel-1 Toolbox - |
| snap_engine | 190 | almost 2 years ago | ESA Earth Observation Toolbox and Development Platform |
| Worldview | 710 | almost 2 years ago | Interactive interface for browsing global, full-resolution satellite imagery application |
| Orfeo ToolBox | (OTB)- An open-source project for state-of-the-art remote sensing, including a fast image viewer, apps callable from , or QGIS, and a powerful API | ||
| landsat_preprocess | 53 | about 12 years ago | IPython notebook documenting a workflow for preprocessing Landsat data |
| stac-mode-validator | 14 | almost 2 years ago | Simple proof-of-concept to validate STAC Items, Catalogs, Collections and core extensions with node |
| aiforearth-landcover-app | 13 | over 8 years ago | web mapping app to test, tweak and train the land cover classification from a deep neural network model |
| tiffhax | 16 | over 6 years ago | tiff metadata hex viewer |
| Fmask | 172 | almost 2 years ago | The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images |
| resto | 57 | almost 2 years ago | A metadata catalog and search engine for geospatialized data Stac! |
| pktools | pktools is a suite of utilities written in for image processing with a focus on remote sensing applications. It relies on the Geospatial Data Abstraction Library ( ) and OGR | ||
| iris | 141 | about 2 years ago | Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery |
Contents / Training and learning | |||
| Earth Data Lab | 99 | over 2 years ago | A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team |
| EO College Github | |||
Contents / Training and learning / EO College Github | |||
| tomography_tutorial | 110 | over 3 years ago | A tutorial for Synthetic Aperture Radar Tomography |
Contents / Training and learning | |||
| profLewis-geog0111 | 28 | over 6 years ago | UCL Geography: 4th year course, Scientific Computing |
| Intro to Geospatial Vector and Raster | Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain | ||
| Andrew Cutts Github | I am an Earth Observation and Geospatial enthusiast, primarily using to automate and process images at scale using computer vision | ||
Contents / Training and learning / Andrew Cutts Github | |||
| Satellite Imagery Python | 184 | over 4 years ago | Sample sample scripts and notebooks on processing satellite imagery |
| Geospatial Python Programming Course | 86 | over 6 years ago | This is an collection of blog posts turned into a course format |
Contents / Training and learning | |||
| Open Geo Tutorial V2 | 323 | over 4 years ago | Tutorial of fundamental remote sensing and GIS methodologies using open source software in |
| Open Geo Tutorial V1 | 245 | about 7 years ago | Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in or ) |
| Foss4gUKJupyter | 8 | about 6 years ago | FOSS4G UK 2019 Workshop "Geoprocessing with Jupyter Notebooks" |
| Geoprocessing with Python - GIS circa 2009 | This material is really old and some of it is outdated (not all, though!). One of these days I might get around to putting newer class materials online, but you're stuck with this for now | ||
| training-workshop | 12 | over 2 years ago | This repo contains all materials used on Planet's training workshop for Bahrain Defense Force |
| sentinel | 76 | over 9 years ago | Repository created for the Earth Observation Sentinel project (use with SNAP) |
| Python for Geospatial Analysis | A crashcourse introduction to using Python to wrangle, plot, and model geospatial data | ||
| pyGIS | 174 | almost 2 years ago | pyGIS is an online textbook covering all the core geospatial functionality available in . This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications |
Contents / Deep learning and Machine Learning | |||
| future learn course - artificial intelligence for earth monitoring | |||
| Segment-geospatial | 3,099 | almost 2 years ago | A package for segmenting geospatial data with the Segment Anything Model (SAM) |
| awesome-satellite-imagery-datasets | 3,676 | about 4 years ago | List of satellite image training datasets with annotations for computer vision and deep learning |
| Deep Vector | 564 | over 8 years ago | A curated list of resources focused on Machine Learning in Geospatial Data Science |
| satellite-imagery-labeling-tool | 265 | almost 2 years ago | This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes |
Contents / GDAL of course | |||
| GDAL Cheat Sheet | 1,198 | over 2 years ago | Cheat sheet for GDAL/OGR command-line tools |
| GDAL / OGR cookbook | This cookbook has simple code snippets on how to use the Python GDAL/OGR API | ||
| GDAL tutorial | This blogpost gives in an introduction to GDAL/OGR and explains how the various command line tools can be used | ||
| docker-base-gdal | 59 | almost 4 years ago | A base docker image for geospatial applications |
| An Introduction to GDAL | An Introduction to GDAL - Robert Simmon | ||
| A Gentle Introduction to GDAL prt 1 | command line working | ||
| A Gentel Introduction to GDAL prt 2 | Map Projections | ||
| A Gentel Introduction to GDAL prt 3 | Geodesy | ||
| loam | 219 | almost 3 years ago | wrapper for GDAL in the browser |
| mrf | 78 | almost 2 years ago | GDAL-compatible file format driver designed for fast access to imagery |
Contents / Earth Observation coding on YouTube | |||
| xArray at PyConUK2018 - Robin Wilson | Processing thousands of satellite images to understand air quality in the UK - it's efficient and easy with XArray | ||
| Visualizing & Analyzing Earth Science Data Using PyViz & PyData - Julia Signell | In this talk, we'll work through some specific workflows and explore how various tools - such as Intake, Dask, Xarray, and Datashader - can be used to effectively analyze and visualize these data. Working from within the notebook, we'll iteratively build a product that is interactive, scalable, and deployable | ||
| Hands on Satellite Imagery 2019 edition - Sara Safavi | In this tutorial, gain hands-on experience exploring Planet’s publicly-available satellite imagery and using Python tools for geospatial and time-series analysis of medium- and high-resolution imagery data. Using free & open source libraries, learn how to perform foundational imagery analysis techniques and apply these techniques to real satellite data | ||
| Python from space - Katherine Scott | In this talk we will work through a jupyter notebook that covers the satellite data ecosystem and the python tools that can be used to sift through and analyze that data. Topics include python tools for using Open Street Maps data, the Geospatial Data Abstraction Library (GDAL), and OpenCV and NumPy for image processing | ||
| Remote Sening with Python in Jupyter | In this video we're looking at using Google Earth Engine in Jupyter with the Python API | ||
| Writing Image Processing Algorithms with ArcGIS/ArcPy - Jamie Drisdelle | learn how your algorithms can integrate with the raster processing and visualization pipelines in ArcGIS. We’ll demonstrate the concept and discuss the API by diving deep into a few interesting examples with a special focus on multidimensional scientific rasters | ||
| Google Earth Engine Python - Qiusheng Wu | Introducing the geemap Python package for interactive mapping with Google Earth Engine and ipyleaflet | ||
| Google Earth Engine EE101 Condensed - Noel Gorelick | Introduction to the Earth Engine API and a conceptual overview of key functionality such as compositing, reducing, mapping, zonal statistics and cluminating with building a small app | ||
| Image classification with RandomForests using the R language | In this video I show how to import a Landsat image into R and how to extract pixel data to train and fit a RandomForests model. I also explain how to conduct image classification and how to speed it up through parallel processing | ||
| GeoPython 2019 stream | 17:23 Machine Learning for Land Use/Landcover Statistics of Switzerland (Adrian Meyer), 50:58 How to structure geodata, 1:18:13 Terrain segmentation with label bootstrapping for lidar datasets, case of doline detection (Rok Mihevc), 2:34:41 Bias in machine learning, 3:06:23 Software for planning research aircraft missions (Reimar Bauer), 3:32:38 How Technology Moves Fast (PJ Hagerty) , 5:02:05 Spotting Sharks with the TensorFlow Object Detection API (Andrew Carter), 5:40:23 Center for Open Source Data and AI Technologies (CODAIT), 6:03:40 Bayesian modeling with spatial data using PyMC3 (Shreya Khurana) (Sound at 6:04:23 ^^), 7:02:45 Understanding and Implementing Generative Adversarial Networks(GANs) (Anmol Krishan Sachdeva), 7:37:00 Messaging with Satellites from Anywhere on the Planet (Andrew Carter), 8:04:52 Automation of the definition and optimizatino of census sampling areas using AREA (GRID3) (Freja Hunt), 8:35:26 Coastline Mapping with Python, Satellite Imagery and Computer Vision (Rachel Keay) | ||
| Google Earth Engine in QGIS | This playlist looks at the GEE plugin for QGIS | ||
| Handling and analysing vector and raster data cubes with R | Edzer Pebesma (Institute for Geoinformatics, University of Münster) Summary: vector and raster data cubes include vector and raster data as special cases, but extend this to vector time series, OD matrices, multi-band raster data, multi-band raster time series, multi-attribute vector or raster time series, and more general to array data where one ore more dimensions are associated with space and/or with time. Examples come from pretty much all areas dealing with spatiotemporal data. This tutorial will go through a large number of examples to illustrate this idea, mostly focusing on the packages stars and sf and those supporting their classes (like tmap, mapview, gstat, ggplot2) | ||
| QiushengWu's youtube | This youtube channel has pretty much everything you need Earth Engine, git, colab, Python, Geoscience. Highest quality stuff | ||
| The OpenDataCube Conference 2021 | Playlist from the 2021 conference | ||
| Dask and Geopandas | Scalable geospatial data analysis with Dask| Dask Summit 2021 | ||
Contents / Earth Engine | |||
| Earth Engine API | 2,712 | almost 2 years ago | and bindings for calling the Earth Engine API |
| from GEE to Numpy to Geotiff | Use the GEE python api to export your data to numpy and store the result as a geotiff | ||
| Google Earth Engine Community | This organization contains content contributed by the Earth Engine developer community. This is not an officially supported Google product | ||
| Geo4Good 2019 workshop materials | 2019 material javascript and Python to be found here | ||
| 2018 GEE summit - Dublin materials | 2018 material javascript and Python to be found here | ||
| 10 tips for becoming an Earth Engine expert | Keiko Nomura shares her 10 favourite tips | ||
| Earth Engine Developer list | registration required | ||
| Earth Engine Beginner's Cookbook | n this tutorial, we will introduce several types of geospatial data, and enumerate key Earth Engine functions for analyzing and visualizing them. This cookbook was originally created as a workshop during Yale-NUS Data 2.0 hackathon, and later updated for Yale GIS Day 2018 and 2019 | ||
| Google Earth Engine Repos | all the repos matching | ||
| geetools | 306 | almost 3 years ago | A set of tools to use in Google Earth Engine Code Editor |
| gee-up | 123 | almost 2 years ago | Simple CLI for Google Earth Engine Uploads |
| gee_asset_manager | 62 | about 2 years ago | Google Earth Engine Asset Manager with Addons |
| Planet-GEE_Pipeline | 42 | over 3 years ago | -Planet and Google Earth Engine Pipeline Command Line Interface Tool |
| GEE code archive | 21 | about 4 years ago | Unsorted archived Earth Engine scripts |
| Python GEE notebooks | 1,382 | over 5 years ago | A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping |
| GEE Map | 3,515 | almost 2 years ago | A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets |
| cloud frequency app | 5 | over 8 years ago | CloudFrequency webapp, using Google App Engine |
| rgee | 694 | almost 2 years ago | Google Earth Engine for |
| ee-tensorflow-notebooks | 76 | over 6 years ago | Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine |
| remote-sensing-resistance | 9 | over 5 years ago | Does heterogeneity in forest structure make a forest resistant to wildfire? |
| GoogleEarthEngine | 11 | about 8 years ago | forestry related work |
| ee-jupyter-examples | 87 | over 9 years ago | Example Jupyter Notebooks, including ones that use the Earth Engine API |
| jupyterlab-ee | 11 | almost 9 years ago | Experiments related to getting JupyterLab and Earth Engine to work together |
| EEwPython | 279 | over 2 years ago | A series of Jupyter notebook to learn Google Earth Engine with |
| GoogleEarthEngine-side-projects | 27 | almost 6 years ago | Google Earth Engine side projects and tutorial scripts |
| ox_gee_tutorial | 0 | almost 7 years ago | Oxford MSc Introduction to Hydrological Applications in Google Earth Engine |
| crop_yield_prediction | 378 | over 3 years ago | Crop Yield Prediction with Deep Learning with GEE |
| geecrop | 2 | over 6 years ago | Earth Engine-based crop information |
| radiometric-slope-correction | 49 | over 6 years ago | Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine |
| geebap | 84 | over 2 years ago | Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the API |
| Ecuador_SEPAL | 20 | over 6 years ago | processing script for Sentinel-2 and Landsat-8 |
| geeguide | 124 | about 5 years ago | Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts |
| EE-Examples | 0 | over 9 years ago | some (old?) example scripts from Noel Gorelick - lead author |
| global-river-ice-dataset-from-landsat | 27 | over 6 years ago | (Google Earth Engine), (Google Earth Engine) and code to extract river ice condition from Landsat satellites, to develop empirical model, and to predict future changes in river ice |
| GEE_Functions | 2 | over 7 years ago | A set of functions to work in Google Engine |
| HMS-Smoke | 16 | almost 2 years ago | HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product |
| Building_Identification_Damage_Assessment | 6 | about 6 years ago | Building Extraction and Damage Assessment from High Resolution Multi-spectral Images |
| Fire_Pattern_Analysis_CONUS | 1 | about 6 years ago | Analysis of fire patterns and drivers in CONUS |
| Best Available Pixel | 57 | almost 3 years ago | Best Available Pixel calculation using Google Earth Engine |
| ee-palettes | 313 | about 6 years ago | A set of common color palettes for Google Earth Engine |
Contents / Open Data Cube | |||
| Opendatacube | |||
Contents / Open Data Cube / Opendatacube | |||
| Datacube Core | 518 | almost 2 years ago | Open Data Cube analyses continental scale Earth Observation data through time |
| Datacube OWS | 71 | almost 2 years ago | Open web services for the Open Data Cube. Supports WMS, WMTS and WCS for any dataset indexed into the ODC |
Contents / Open Data Cube | |||
| ODC STAC | 144 | almost 2 years ago | A stand-alone Python library that allows the loading of STAC Items into an ODC-compatible Xarray |
| data_cube_notebooks | 55 | almost 3 years ago | Jupyter Notebook examples for our Data Cube capable algorithms and functions |
| Digital Earth Australia Notebooks | 449 | almost 2 years ago | Repository for Jupyter Notebooks, tools and workflows for continental-scale earth observation/geospatial analysis with Open Data Cube and |
| Digital Earth Africa Sandbox Notebooks | 182 | almost 2 years ago | Extra documentation about using ODC with Jupyter Notebooks with DE Africa-specific examples |
| odc-tools | 62 | almost 2 years ago | ODC features that DEA is experimenting with or prototyping with the intention of being integrated into odc-core in the future |
| datacube-explorer | 56 | almost 2 years ago | Web-based exploration of Open Data Cube collections |
| openeo_odc_driver | 7 | almost 2 years ago | OpenEO processing engine written in based on OpenDataCube, and |
| geocube | 344 | almost 2 years ago | Tool to convert geopandas vector data into rasterized xarray data |
| odc-sh | 3 | over 2 years ago | Sentinel Hub plugin for Open data cube |
| dea-coastlines | 54 | about 2 years ago | Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale |
Contents / Other Datacube-related Python | |||
| Google Earth Engine Python examples | 315 | over 2 years ago | Various examples for Google Earth Engine in using Jupyter Notebook |
| stackstac | 250 | about 2 years ago | Turn a STAC catalog into a dask-based xarray |
Contents / Planetary Computer | |||
| Mircosoft PlanetaryComputer | 186 | almost 2 years ago | Issues, discussions, and information about the Microsoft Planetary Computer |
Contents / Planetary Computer / Mircosoft PlanetaryComputer | |||
| reading-stac | Reading Data from the STAC API | ||
| PlanetaryComputerExamples | 382 | almost 2 years ago | Examples of using the Planetary Computer |
| sdk-python | 70 | about 2 years ago | Planetary Computer SDK for |
| planetary-computer-apis | 105 | almost 2 years ago | |
| PlanetaryComputerDataCatalog | 37 | almost 2 years ago | Data catalog for the Microsoft Planetary Computer |
Contents / Planetary Computer | |||
| planetary-computer-deep-dives | 7 | almost 5 years ago | - |
| Sentinel2 on planetary computer | 65 | over 3 years ago | notebook explores Sentinel-2 data on Microsoft's Planetary Computer |
| satio-pc | 5 | almost 2 years ago | Compute Sentinel features on Planetary Computer |
| gmv planetary computer S2 alerts | 6 | about 2 years ago | Repo with the code producing the GMW alerts using the Microsoft Planetary Computer |
| hottest panchayats kerala | 10 | over 3 years ago | Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer |
Contents / QGIS and Grass | |||
| Qgis Earth Engine Plugin | 455 | almost 2 years ago | Integrates Google Earth Engine and QGIS using Python API |
Contents / QGIS and Grass / Qgis Earth Engine Plugin | |||
| QGIS Earth Engine Plugin - installation guide | |||
Contents / QGIS and Grass | |||
| grass-dev-py3-pdal | 858 | almost 2 years ago | Dockerfile which compiles GRASS GIS 7.9 master with Python 3 and PDAL suppor |
| qgis-plugin-planet | 46 | about 2 years ago | Browse, filter, preview and download Planet Inc imagery in QGIS |
| TSTools - archived | 55 | over 8 years ago | QGIS2 plugin tools for remote sensing timeseries |
Contents / Climate and weather based resources | |||
| s3 tools | 6 | over 7 years ago | A collection of sentinel 3 processing tools |
| eumetsat -python | 15 | about 6 years ago | Shows how to read and plot satellite data from EUMETSAT NETCDF files |
| unidata on GOES-16 | This notebook shows how to make a true color image from the GOES-16 Advanced Baseline Imager (ABI) level 2 data. We will plot the image with matplotlib and Cartopy | ||
| MetPy | 1,267 | almost 2 years ago | MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data |
Contents / Climate and weather based resources / MetPy | |||
| MetPy docs | |||
| aqua-monitor | 54 | over 2 years ago | Monitoring surface water changes from space at global scale. Also checkout the |
Contents / Climate and weather based resources | |||
| Ocean Color - Modis | 4 | almost 7 years ago | introduction to accessing and plotting ocean color satellite data from MODIS |
| Climate data science | 132 | almost 6 years ago | Climate Data Science and Earth Observation with |
| COST-EUMETSAT-Training | 2 | over 8 years ago | Material, data and presentations for the COST-EUMETSAT training school |
| eumetsat | 5 | almost 5 years ago | Tools for downloading and processing satellite images from EUMETSAT |
| coda_eumetsat | 3 | over 9 years ago | Coda Eumetsat (coda.eumetsat.int) client for downloading data |
| ai4eo-forecast | Developing an open source library to compare Earth Observation and weather forecast services with the actual measurements and assess the accuracy of the forescast | ||
Contents / Climate and weather based resources / EUMETlab | |||
| EUMETlab | This page contains groups of code repositories that have been made open to the public by EUMETSAT and our collaborators | ||
Contents / Climate and weather based resources / EUMETlab / EUMETlab | |||
| atmosphere | LTPy - Learning tool for Python on Atmospheric Composition Data is a Python-based training course on Atmospheric Composition Data. The training course covers modules on data access, handling and processing, visualisation as well as case studies | ||
| sentinel-downloader | Python-based Sentinel satellite data downloader. This script allows for batch downloading of Sentinel data selected by various criteria include date, location, sensor, child products, flags and more | ||
| olci-iop-processor | Code to produce Inherent Optical Properties from Level-2 OLCI data | ||
Contents / DEM projects | |||
| Tin Terrain | 588 | over 3 years ago | A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes |
| TauDEM | 240 | over 2 years ago | Terrain Analysis Using Digital Elevation Models (TauDEM) software for hydrologic terrain analysis and channel network extraction |
| DEM.net | 306 | almost 2 years ago | Digital Elevation model library in C#. 3D terrain models, line/point Elevations, intervisibility reports |
| Stereo Mapping to create Elevation with Python | 212 | over 2 years ago | Satellite Stereo Pipeline |
| DSM2DTM | 15 | over 7 years ago | Code for the paper - Comparison of Digital Building Height Models Extracted from AW3D, TanDEM-X, ASTER, and SRTM Digital Surface Models over Yangon City |
| The Stereo Pipeline (NASA) | The NASA Ames Stereo Pipeline (ASP) is a suite of free and open source automated geodesy and stereogrammetry tools designed for processing stereo imagery captured from satellites | ||
Contents / SAR | |||
| SAR docker | 28 | almost 10 years ago | Source files for Docker image mort/sardocker/ |
| awesome SAR | 11 | about 10 years ago | A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources |
| pyroSAR | 514 | almost 2 years ago | framework for large-scale SAR satellite data processing |
| PyRAT | 194 | about 2 years ago | General purpose Synthetic Aperture Radar (SAR) postprocessing software package |
| RITSAR | 208 | over 6 years ago | Synthetic Aperture Radar (SAR) Image Processing Toolbox for |
| PySAR | 19 | almost 10 years ago | PyAR is a perpetually incomplete, general-purpose toolbox for common post-processing tasks involving synthetic aperture radar (SAR) |
| sarbian | 60 | about 7 years ago | a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software |
| OpeSARToolkit | 214 | over 2 years ago | High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the language |
| infrastructure | 12 | about 6 years ago | Mapping and monitoring of infrastructure in desert regions with Sentinel-1 |
| OST_Notebook | 32 | over 3 years ago | The notebooks within this repository provide getting started tutorials for the use of the Open SAR Toolkit, found here in the ESA-philab github channel |
| S1_ARD | 18 | over 4 years ago | repository for testing analysis-readiness of Sentinel-1 RTC backscatter |
| sea_ice_drift | 44 | over 3 years ago | Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking |
| s1prepro | 12 | over 8 years ago | Automated pre-processing of Sentinel 1 (satellite radar imagery) |
| Spacenet6 - SAR buildings | 74 | almost 6 years ago | The winning solutions for the SpaceNet 6 Challenge |
| sentinel1-opds | 15 | over 5 years ago | sentinel1-opds ingestion |
| rice_sentinel1 | 8 | over 6 years ago | classify rice from sentinel 1 data |
| sentineldenoised | 42 | over 2 years ago | Thermal noise subtraction, scalloping correction, angular correction |
| sentinel1-Biodiversity | 10 | about 5 years ago | Code, example dataset, and instructions of Sentinel-1 data pre-processing and pixel-based summary statistics used in "Radar vision for mapping forest biodiversity from space" |
| Step by step: Radar-based flood mapping with Python | and - This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information | ||
| STAC Sentinel1 | 29 | over 2 years ago | stactools package for working with sentinel1 data |
| sarsen | 271 | about 2 years ago | Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors |
| S1_NRB | 26 | almost 2 years ago | A prototype processor for the Sentinel-1 Normalised Radar Backscatter product |
Contents / LiDAR | |||
| ICESAT extraction script | Python script to convert from ICESat-2 ATL08 HDF data to shapefile. Usage: 'python icesat2_shp.py | ||
| ICESAT tools | 96 | about 3 years ago | Tools and code for Icesat-2 data analysis (Python) |
| usgs-lidar | 142 | almost 2 years ago | AWS Entwine Point Tiles USGS LiDAR Public Dataset GitHub repo |
| Lidar | 252 | almost 2 years ago | Terrain and hydrological analysis based on LiDAR-derived digital elevation models (DEM) |
| IcePyx | 220 | almost 2 years ago | Python tools for obtaining and working with ICESat-2 data |
Contents / LiDAR / GEDI | |||
| pyGEDI | 93 | about 4 years ago | pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization |
| GEDI extraction script | Python script to take GEDI level 2 data and convert variables to a geospatial vector format | ||
| rGEDI | 166 | almost 2 years ago | rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing |
| pysl4land | 18 | over 3 years ago | tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications |
| gedi | 4 | about 6 years ago | tutorial to process and handle LiDAR GIDE datasets |
| sprnca_gedi | 3 | over 6 years ago | WIP to map Foliage Height Diversity along the San Pedro Riparian Corridor with NASA's GEDI Lidar |
| GEDI_Yucatan | 3 | over 5 years ago | Supplementary material for the study: Space Lidar for Archaeology? Reanalyzing GEDI Data for Detection of Ancient Maya Buildings |
| q_research | 8 | over 4 years ago | For processing of ICESat GLAS, GEDI and ICESat-2 LiDAR data, to derive q parameter for canopy height to density relationship |
| gedi-tutorials | 117 | almost 2 years ago | GEDI L3 and L4 Tutorials |
Contents / InSAR | |||
| ISCE | 133 | almost 2 years ago | InSAR Scientific Computing Environment version 3 alpha |
| LiCSBAS | 239 | almost 2 years ago | LiCSBAS package to carry out InSAR time series analysis using LiCSAR products |
| MintPy | 621 | almost 2 years ago | Miami InSAR time-series software in Python |
| Pyrocko | Can be utilized flexibly for a variety of geophysical tasks, like seismological data processing and analysis, modelling of InSAR, GPS data and dynamic waveforms, or for seismic source characterization | ||
| InSARFlow | 52 | about 4 years ago | Parallel InSAR processing for Time-series analysis |
| PyRate | 208 | about 3 years ago | A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data |
| ARIRA-tools | 99 | almost 2 years ago | Tools for exploiting ARIA standard products |
| ISCE_utils | 10 | over 7 years ago | Small utility scripts for working with InSAR Scientific Computing Environment (ISCE) products |
| ROI_PAC-Sentinel1 | 44 | almost 9 years ago | InSAR processing of Sentinel-1 using ROI_PAC |
| insar_scripts | 22 | about 12 years ago | Useful scripts for working with roipac data |
| isce2 | 522 | almost 2 years ago | InSAR Scientific Computing Environment version 2 |
| snap2stamps | 113 | over 2 years ago | Using SNAP as InSAR processor for StaMPS |
Contents / Landuse | |||
| demeter | 26 | over 2 years ago | A land use land cover disaggregation and change detection model |
Contents / Visualisation | |||
| Tiled video! | |||
| Video map | 2 | almost 4 years ago | Tools to create, , export and share video maps |
| Tree height and canopy cover map in 3D | 7 | over 6 years ago | Use Kepler.gl to visualise 3D and 2D data |
| Greppo | 392 | over 3 years ago | Python framework for building geospatial web-applications |
Contents / Regular blogs of significant interest or posts of interest | |||
| Philipp Gartner blog | |||
| Series Temporelles | |||
| The downlinq | |||
| GEDI canopy data | How we processed data to retrieving canopy height | ||
Contents / EO code Competitions | |||
| challenges 2020 | 49 | over 5 years ago | ECMWF Summer of Weather Code 2020 challenges |
| challenges 2021 | 48 | almost 5 years ago | ECMWF Summer of Weather Code 2021 challenges |
| Julia Wagemann github | Making open meteorological and climate data better accessible. , and | ||
| Sentinel hub competitions | See also | ||
| Planet: Understanding the Amazon from Space | Use satellite data to track the human footprint in the Amazon rainforest | ||
| DeepGlobe Building Extraction Challenge | We would like to pose the challenge of automatically detecting buildings from satellite images | ||
| DSTL feature extraction | Kagglers are challenged to accurately classify features in overhead imagery | ||
| crowdAI misisng maps challenge | Building Missing Maps with Machine Learning | ||
Contents / EO code Competitions / crowdAI misisng maps challenge | |||
| openAI solution | 382 | over 5 years ago | Open solution to the Mapping Challenge |
Contents / EO code Competitions | |||
| AtmosHack2018 | 5 | almost 8 years ago | Contains information and resources for Copernicus Hackathon 2018 in Helsinki |
| drivendataorg - cloud-cover-winners | 25 | about 3 years ago | Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge |
Contents / ARD links | |||
| S1_S2_ARD_code_list | 23 | about 4 years ago | A curated list supporting the use of Sentinel-1 and Sentinel-2 analysis-ready data (ARD) via application programming interface (API) |
Contents / Useful EO code based twitter accounts | |||
| pyGEDI | pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization | ||
Contents / Interesting Non EO parts Python | |||
| realtime covid19 graphs in USA | 1,377 | about 6 years ago | A collection of work related to COVID-19 |
| Deep learning with Python notebooks | 18,820 | about 2 years ago | Jupyter notebooks for the code samples of the book "Deep Learning with Python" |
| Python data science handbook | |||
| A-Z of tips and tricks for Python | 'Most of these ‘tricks’ are things I’ve used or stumbled upon during my day-to-day work. ' | ||
| Visual intro into Numpy | Visualizing machine learning one concept at a time | ||
| Change your Jupyter Theme | 9,785 | almost 3 years ago | Custom Jupyter Notebook Themes |
| Awesome Semantic Segmentation | 10,558 | over 5 years ago | awesome-semantic-segmentation |
| unidata Python workshop | Would you like some in-depth training on the scientific Python ecosystem for atmospheric science and meteorology? Work through our workshop materials at your own pace to learn and practice the syntax, functionality, and utility of this powerful programming language, or return to the material after taking the workshop in-person to further your understanding of the material you were taught | ||
| TernausNet - used in DSTL kaggle competition (came 3rd) | 1,049 | almost 4 years ago | UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset |
| Introduction to Python for computational science | 373 | over 2 years ago | Book: Introduction to Python for Computational Science and Engineering |
| Another Book on Data Science | Learn R and Python in Parallel | ||
| Xarray | 3,660 | almost 2 years ago | N-D labeled arrays and datasets in Python |
| Matplotlib colab notebook tutorial | This notebook demonstrates how to use the matplotlib library to plot beautiful graphs | ||
| PostGIS raster cheatsheet | Useful tips on rasters in PostGIS | ||
| 65 data science books on Springer | not checked but perhaps useful | ||
| Intro to Numerical Computing - youtube | Intro to Numerical Computing with NumPy (Beginner) | SciPy 2018 Tutorial | Alex Chabot-Leclerc | ||
| Classification-Algorithm | 2 | almost 4 years ago | Classification algorithm workshop for WiMLDS |
| dtreeviz | 2,984 | about 2 years ago | A library for decision tree visualization and model interpretation |
| Python_tips | 157 | about 4 years ago | Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet |
| introduction to ml with Python | 7,483 | over 2 years ago | Notebooks and code for the book "Introduction to Machine Learning with " |
| Matplotlib_Cheatsheet | Matplotlib_Cheatsheet | ||
| GDSL-UL/Teaching_Links | 110 | over 4 years ago | In this repo we have aimed to provide links to useful teaching resources for teaching Geographic / Spatial Data Science, GIS and Statistics. (perhaps misplaced in this list?) |
| practical-python | Practical Python Programming A course by @dabeaz | ||
| GeoStats, Resources | 375 | over 2 years ago | Geostatistics |
Contents / Interesting Non EO parts other languages | |||
| Efficient R programming | This is the online version of the O’Reilly book: Efficient R programming. Code is | ||
Contents / Data | |||
| Environmental_Intelligence | 280 | over 3 years ago | Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and the tracking of UN's Sustainable Development Goals |
| gibs | This is EO | ||
| awesome-gee-community-datasets | Community Datasets added by users and made available for use at large | ||
Contents / A footnote on awesome | |||
| Awesome Sentinel | 545 | over 2 years ago | curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data |
| awesome-remote-sensing | 101 | over 4 years ago | Collection of Remote Sensing Resources |
| awesome-Geospatial | 4,224 | almost 2 years ago | Long list of geospatial tools and resources |
| awesome-remote-sensing-change-detection | 1,707 | almost 2 years ago | List of datasets, codes, and contests related to remote sensing change detection |
| Awesome Geospatial Companies | 741 | about 2 years ago | List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..) |
sshuair/awesome-gis
sacridini/awesome-geospatial
esri/awesome-arcgis-developers
stark1tty/awesome-historic_al-maps
agri-hub/callisto-dataset-collection
minzhang-whu/change-detection-review
r-spatial/sf
hfattahi/pysar
bopen/xarray-sentinel
boschmitt/tweedledum
obengine/obengine