awesome-earthobservation-code

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

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 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

pdf download over 600 pages of remote sensing!

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

Interoperable processes for openEO's big Earth observation cloud processing

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

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others

eodatadown

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

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

client library for the SeDAS API

esa_sentinel

ESA Sentinel Search & Download API

get_modis

Downloading MODIS data from the USGS repository

landsatexplore

Search and download Landsat scenes from EarthExplorer

pylandsat

Search, download, and preprocess Landsat imagery

Sentinel-download

Automated download of Sentinel-2 L1C data from ESA (through wget)

sentinelsat

Search and download Copernicus Sentinel satellite images

LANDSAT-Download

Automated download of LANDSAT data from USGS website

Landsat-Util

A utility to search, download and process Landsat 8 satellite imagery

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

Skip the download! Stream NASA data directly into Python objects from

sat-extractor

Extract Satellite Imagery from public constellations at scale

aws-sat-api-py

Process Satellite data using AWS Lambda functions

GeoLambda

Create and deploy Geospatial AWS Lambda functions

rio-viz

Visualize Cloud Optimized GeoTIFF in browser

Sentinel-s3

libraries for extracting Sentinel-2's metadata from Amazon S3

geocore

GeoCore is an Open Source Cloud Native (AWS) Geospatial Catalog | GeoCore est un catalogue géospatial Open Source Cloud Native (AWS)

cng-workshop

Intro to cloud-native geospatial workshop

cloud-native-geospatial

resource

Tools for working with SpatioTemporal Asset Catalogs (STAC) (perhaps worth going here first for STAC)

pystac

library for working with any SpatioTemporal Asset Catalog (STAC)

stactools

Command line utility and library for STAC

pystac-client

client for STAC Catalogs and APIs

pgstac

Schema, functions and a library for storing and accessing STAC collections and items in

stac-fastapi

STAC API implementation with FastAPI

stac-fastapi-pgstac

PostgreSQL backend for stac-fastapi using pgstac

STAC Spec

SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

stac-validator

Validator for the stac-spec

stackstac

Turn a list of STAC items into a 4D xarray DataArray

stac-nb

STAC in Jupyter Notebooks

qgis-stac-plugin

QGIS plugin for reading STAC APIs

easystac

A package for simple STAC queries

stac-utils

Provides a class interface for running custom algorithms on STAC ItemCollections

pgstac

Schema, functions and a python library for storing and accessing STAC collections and items in PostgreSQL

pystac-client

client for searching STAC APIs

stac-asset

Read and download STAC Assets, using a variety of authentication schemes

stac-server

A Node-based STAC API, AWS Serverless, OpenSearch

elastic search

Elasticsearch backend for stac-fastapi with Opensearch support

stac4s

A library with primitives to build applications using the SpatioTemporal Asset Catalogs specification

stac-rs

implementation of the SpatioTemporal Asset Catalog (STAC) specification

stac-fields

A minimal STAC library that contains a list of STAC fields with some metadata and helper functions for styling as HTML

titiler-pgstac

TiTiler + PgSTAC

stac-api-validator

A STAC API validation client

xpystac

For extending xarray.open_dataset to accept pystac objects

stac-pydantic

Pydantic data models for the STAC spec

stac-migrate

A tool to migrate Items, Catalogs and Collections from old versions to the most recent one

stac-node-validator

Simple validator for STAC Items, Catalogs, and Collections. STAC 1.0.0 compliant!

stac-geoparquet

Convert STAC items to geoparquet

stac-index

A service that lists all available and registered STAC catalogs and APIs

stac-check

Linting and validation tool for STAC assets

stac-terminal

Output info on STAC Items in the terminal

stac-layer

Visualize a STAC Item or Collection on a Leaflet Map

pgstac-rs

interface to pgstac

stac-rs

Tools and libraries for the SpatioTemporal Asset Catalog (STAC) specification, written in

COG Validator

Cloud Optimized GeoTIFF validation service

titiler

A modern dynamic tile server built on top of and

cogeo-mosaic

Create and use COG mosaic based on mosaicJSON

Sentinel-2-cog

Convert Sentinel-2 JPEG 2000 to COG with AWS Lambda

COG Dumper

Dumps tiles out of a cloud optimized geotiff

async-cog-reader

Read Cloud Optimized GeoTiffs without GDAL

aiocogeo

Asynchronous cogeotiff reader

cogeotiff

High performance cloud optimised geotiff reader

ecw-converter

Dockerised scripts & Nextflow pipeline for converting ecw files to either geotiffs or Cloud Optimised Geotiffs (COGs)

COG pptx/pdf

talk on COG

Povetry predition using satellite imagery

Poverty Prediction by Combination of Satellite Imagery

Python from space

Examples for Remote Sensing

count blue pixels

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

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

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

A twitter bot which processes raw sentinel data

ap-latem

Detection of slums and informal settlements from satellite imagery

local_structire_wpb-severity

Analysis of drone imagery to characterize forest structure and severity of a tree killing insect

Truck_Detection_Sentinel2_COVID19

This repository is designated to detecting trucks using Sentinel-2 data

An end-to-end deep learning geospatial segmentation project using Pytorch and TorchGeo packages -

Planet notebooks

interactive notebooks from Planet Engineering

Planet-client-API

client for Planet APIs

Maxar GDBx tools

Python SDK for using GBDX

gdbx-surface-water

Reservoir surface area detection with Digital Globe imagery and Bayesian methods

SentinelHub-py

Download and process satellite imagery in Python using Sentinel Hub services

sentinel2-cloud-detector

Sentinel Hub Cloud Detector for Sentinel-2 images in

Orbit predictor

Python library to propagate satellite orbits

up42-py

Python SDK for UP42, the geospatial marketplace and developer platform

Deep Learning-based algorithm to upsample all Sentinel-2 bands to 10m. Also an example how to use GPUs on UP42

icecube

Create time-series datacubes for supervised machine learning with ICEYE SAR images

Identifies errors in raw values of Landsat 7

PyProSail

Python interface to the ProSAIL leaf/canopy reflectance model

Py6S

A interface to the 6S Radiative Transfer Model

prosail

bindings for the PROSAIL canopy reflectance model

ACOLITE_MR

ACOLITE_MR: Atmospheric correction for aquatic applications of metre-scale satellites

radiometric_normalization

Implementation of radiometric normalization workflows

color_balance

Balance your colors!

data-retrieval-in-EO, a project with reports from TU wien

rasterio

Rasterio reads and writes geospatial raster datasets

Xarray pyconuk 2018

Code and slides for my talk at PyCon UK 2018 on XArray

RasterStats

Summary statistics of geospatial raster datasets based on vector geometries

SatPy

package for earth-observing satellite data processing

pyimpute

Spatial classification and regression using Scikit-learn and Rasterio

dask-rasterio

Read and write rasters in parallel using Rasterio and Dask

rioxarray

geospatial xarray extension powered by rasterio

xarray-spatial

Raster-based Spatial Analysis for

actinia core

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

This actinia plugin is designed for efficient satellite data handling, especially Landsat and Sentinel-2 scenes

Whitebox Python

WhiteboxTools Frontend

ukis-pysat

generic classes and functions to query, access and process multi-spectral and SAR satellite images

Implementation of eight evaluation metrics to access the similarity between two images

A module to programmatically create geotiff images which can be used for unit tests

Builds on above R-Spatial

A collection of geospatial tools and libraries written in

ArchGDAL - Julia

A high level API for GDAL - Geospatial Data Abstract

Julia_Geospatial

Examples for a blog series on Geospatial using ArchGDAL

GeoTrellis is a geographic data processing engine for high performance applications

GDAL with GoLang

(golang) wrapper for GDAL, the Geospatial Data Abstraction Library

C++ gdalcubes

Earth observation data cubes from GDAL image collections

RSGLib

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

Geo:: GDAL - extension for the GDAL library for geospatial data

PDAL

PDAL is Point Data Abstraction Library. GDAL for point cloud data

force

Framework for Operational Radiometric Correction for Environmental monitoring in

LLR-landTrendr

Landsat-based Detection of Trends in Disturbance and Recovery algorimth modified to accept LandsatLinkr-processed imagery

Global Forest Watch

Global Forest Watch: An online, global, near-real time forest monitoring tool

conda recipes

Conda recipes for remote sensing

Landsat-solar-elevation

A web app that plots annual solar elevation at the time of Landsat overpass for locations throughout the earth

staccato

implementation of the STAC spec

stac4s

-a library with primitives to build applications using the SpatioTemporal Asset Catalogs specification

stac-browser

A Vue-based STAC browser intended for static + dynamic deployment

EO Browser Custom Scripts

A repository of custom scripts to be used with Sentinel Hub

sentinelhub-js

Download and process satellite imagery in or using Sentinel Hub services

s3tbx

A toolbox for the OLCI and SLSTR instruments on board of ESA's Sentinel-3 satellite -

s2tbx

Sentinel 2 Toolbox (s2tbx) -

s1tbx

The Sentinel-1 Toolbox -

snap_engine

ESA Earth Observation Toolbox and Development Platform

Worldview

Interactive interface for browsing global, full-resolution satellite imagery application

(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

IPython notebook documenting a workflow for preprocessing Landsat data

stac-mode-validator

Simple proof-of-concept to validate STAC Items, Catalogs, Collections and core extensions with node

aiforearth-landcover-app

web mapping app to test, tweak and train the land cover classification from a deep neural network model

tiffhax

tiff metadata hex viewer

Fmask

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

A metadata catalog and search engine for geospatialized data Stac!

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

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery

Earth Data Lab

A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team

tomography_tutorial

A tutorial for Synthetic Aperture Radar Tomography

profLewis-geog0111

UCL Geography: 4th year course, Scientific Computing

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

I am an Earth Observation and Geospatial enthusiast, primarily using to automate and process images at scale using computer vision

Satellite Imagery Python

Sample sample scripts and notebooks on processing satellite imagery

Geospatial Python Programming Course

This is an collection of blog posts turned into a course format

Open Geo Tutorial V2

Tutorial of fundamental remote sensing and GIS methodologies using open source software in

Open Geo Tutorial V1

Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in or )

Foss4gUKJupyter

FOSS4G UK 2019 Workshop "Geoprocessing with Jupyter Notebooks"

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

This repo contains all materials used on Planet's training workshop for Bahrain Defense Force

sentinel

Repository created for the Earth Observation Sentinel project (use with SNAP)

A crashcourse introduction to using Python to wrangle, plot, and model geospatial data

pyGIS

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

Segment-geospatial

A package for segmenting geospatial data with the Segment Anything Model (SAM)

awesome-satellite-imagery-datasets

List of satellite image training datasets with annotations for computer vision and deep learning

Deep Vector

A curated list of resources focused on Machine Learning in Geospatial Data Science

satellite-imagery-labeling-tool

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes

GDAL Cheat Sheet

Cheat sheet for GDAL/OGR command-line tools

This cookbook has simple code snippets on how to use the Python GDAL/OGR API

This blogpost gives in an introduction to GDAL/OGR and explains how the various command line tools can be used

docker-base-gdal

A base docker image for geospatial applications

An Introduction to GDAL - Robert Simmon

command line working

Map Projections

Geodesy

loam

wrapper for GDAL in the browser

mrf

GDAL-compatible file format driver designed for fast access to imagery

Processing thousands of satellite images to understand air quality in the UK - it's efficient and easy with XArray

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

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

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

In this video we're looking at using Google Earth Engine in Jupyter with the Python API

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

Introducing the geemap Python package for interactive mapping with Google Earth Engine and ipyleaflet

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

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

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)

This playlist looks at the GEE plugin for QGIS

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)

This youtube channel has pretty much everything you need Earth Engine, git, colab, Python, Geoscience. Highest quality stuff

Playlist from the 2021 conference

Scalable geospatial data analysis with Dask| Dask Summit 2021

Earth Engine API

and bindings for calling the Earth Engine API

Use the GEE python api to export your data to numpy and store the result as a geotiff

This organization contains content contributed by the Earth Engine developer community. This is not an officially supported Google product

2019 material javascript and Python to be found here

2018 material javascript and Python to be found here

Keiko Nomura shares her 10 favourite tips

registration required

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

all the repos matching

geetools

A set of tools to use in Google Earth Engine Code Editor

gee-up

Simple CLI for Google Earth Engine Uploads

gee_asset_manager

Google Earth Engine Asset Manager with Addons

Planet-GEE_Pipeline

-Planet and Google Earth Engine Pipeline Command Line Interface Tool

GEE code archive

Unsorted archived Earth Engine scripts

Python GEE notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

GEE Map

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

cloud frequency app

CloudFrequency webapp, using Google App Engine

rgee

Google Earth Engine for

ee-tensorflow-notebooks

Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine

remote-sensing-resistance

Does heterogeneity in forest structure make a forest resistant to wildfire?

GoogleEarthEngine

forestry related work

ee-jupyter-examples

Example Jupyter Notebooks, including ones that use the Earth Engine API

jupyterlab-ee

Experiments related to getting JupyterLab and Earth Engine to work together

EEwPython

A series of Jupyter notebook to learn Google Earth Engine with

GoogleEarthEngine-side-projects

Google Earth Engine side projects and tutorial scripts

ox_gee_tutorial

Oxford MSc Introduction to Hydrological Applications in Google Earth Engine

crop_yield_prediction

Crop Yield Prediction with Deep Learning with GEE

geecrop

Earth Engine-based crop information

radiometric-slope-correction

Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine

geebap

Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the API

Ecuador_SEPAL

processing script for Sentinel-2 and Landsat-8

geeguide

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts

EE-Examples

some (old?) example scripts from Noel Gorelick - lead author

global-river-ice-dataset-from-landsat

(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

A set of functions to work in Google Engine

HMS-Smoke

HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product

Building_Identification_Damage_Assessment

Building Extraction and Damage Assessment from High Resolution Multi-spectral Images

Fire_Pattern_Analysis_CONUS

Analysis of fire patterns and drivers in CONUS

Best Available Pixel

Best Available Pixel calculation using Google Earth Engine

ee-palettes

A set of common color palettes for Google Earth Engine

Datacube Core

Open Data Cube analyses continental scale Earth Observation data through time

Datacube OWS

Open web services for the Open Data Cube. Supports WMS, WMTS and WCS for any dataset indexed into the ODC

ODC STAC

A stand-alone Python library that allows the loading of STAC Items into an ODC-compatible Xarray

data_cube_notebooks

Jupyter Notebook examples for our Data Cube capable algorithms and functions

Digital Earth Australia Notebooks

Repository for Jupyter Notebooks, tools and workflows for continental-scale earth observation/geospatial analysis with Open Data Cube and

Digital Earth Africa Sandbox Notebooks

Extra documentation about using ODC with Jupyter Notebooks with DE Africa-specific examples

odc-tools

ODC features that DEA is experimenting with or prototyping with the intention of being integrated into odc-core in the future

datacube-explorer

Web-based exploration of Open Data Cube collections

openeo_odc_driver

OpenEO processing engine written in based on OpenDataCube, and

geocube

Tool to convert geopandas vector data into rasterized xarray data

odc-sh

Sentinel Hub plugin for Open data cube

dea-coastlines

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Google Earth Engine Python examples

Various examples for Google Earth Engine in using Jupyter Notebook

stackstac

Turn a STAC catalog into a dask-based xarray

Mircosoft PlanetaryComputer

Issues, discussions, and information about the Microsoft Planetary Computer

Reading Data from the STAC API

PlanetaryComputerExamples

Examples of using the Planetary Computer

sdk-python

Planetary Computer SDK for

PlanetaryComputerDataCatalog

Data catalog for the Microsoft Planetary Computer

planetary-computer-deep-dives

-

Sentinel2 on planetary computer

notebook explores Sentinel-2 data on Microsoft's Planetary Computer

satio-pc

Compute Sentinel features on Planetary Computer

gmv planetary computer S2 alerts

Repo with the code producing the GMW alerts using the Microsoft Planetary Computer

hottest panchayats kerala

Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer

Qgis Earth Engine Plugin

Integrates Google Earth Engine and QGIS using Python API

grass-dev-py3-pdal

Dockerfile which compiles GRASS GIS 7.9 master with Python 3 and PDAL suppor

qgis-plugin-planet

Browse, filter, preview and download Planet Inc imagery in QGIS

TSTools - archived

QGIS2 plugin tools for remote sensing timeseries

s3 tools

A collection of sentinel 3 processing tools

eumetsat -python

Shows how to read and plot satellite data from EUMETSAT NETCDF files

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

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data

aqua-monitor

Monitoring surface water changes from space at global scale. Also checkout the

Ocean Color - Modis

introduction to accessing and plotting ocean color satellite data from MODIS

Climate data science

Climate Data Science and Earth Observation with

COST-EUMETSAT-Training

Material, data and presentations for the COST-EUMETSAT training school

eumetsat

Tools for downloading and processing satellite images from EUMETSAT

coda_eumetsat

Coda Eumetsat (coda.eumetsat.int) client for downloading data

Developing an open source library to compare Earth Observation and weather forecast services with the actual measurements and assess the accuracy of the forescast

This page contains groups of code repositories that have been made open to the public by EUMETSAT and our collaborators

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

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

Code to produce Inherent Optical Properties from Level-2 OLCI data

Tin Terrain

A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes

TauDEM

Terrain Analysis Using Digital Elevation Models (TauDEM) software for hydrologic terrain analysis and channel network extraction

DEM.net

Digital Elevation model library in C#. 3D terrain models, line/point Elevations, intervisibility reports

Stereo Mapping to create Elevation with Python

Satellite Stereo Pipeline

DSM2DTM

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 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

SAR docker

Source files for Docker image mort/sardocker/

awesome SAR

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources

pyroSAR

framework for large-scale SAR satellite data processing

PyRAT

General purpose Synthetic Aperture Radar (SAR) postprocessing software package

RITSAR

Synthetic Aperture Radar (SAR) Image Processing Toolbox for

PySAR

PyAR is a perpetually incomplete, general-purpose toolbox for common post-processing tasks involving synthetic aperture radar (SAR)

sarbian

a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software

OpeSARToolkit

High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the language

infrastructure

Mapping and monitoring of infrastructure in desert regions with Sentinel-1

OST_Notebook

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

repository for testing analysis-readiness of Sentinel-1 RTC backscatter

sea_ice_drift

Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking

s1prepro

Automated pre-processing of Sentinel 1 (satellite radar imagery)

Spacenet6 - SAR buildings

The winning solutions for the SpaceNet 6 Challenge

sentinel1-opds

sentinel1-opds ingestion

rice_sentinel1

classify rice from sentinel 1 data

sentineldenoised

Thermal noise subtraction, scalloping correction, angular correction

sentinel1-Biodiversity

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"

and - This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information

STAC Sentinel1

stactools package for working with sentinel1 data

sarsen

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

S1_NRB

A prototype processor for the Sentinel-1 Normalised Radar Backscatter product

Python script to convert from ICESat-2 ATL08 HDF data to shapefile. Usage: 'python icesat2_shp.py

ICESAT tools

Tools and code for Icesat-2 data analysis (Python)

usgs-lidar

AWS Entwine Point Tiles USGS LiDAR Public Dataset GitHub repo

Lidar

Terrain and hydrological analysis based on LiDAR-derived digital elevation models (DEM)

IcePyx

Python tools for obtaining and working with ICESat-2 data

pyGEDI

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization

Python script to take GEDI level 2 data and convert variables to a geospatial vector format

rGEDI

rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing

pysl4land

tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications

gedi

tutorial to process and handle LiDAR GIDE datasets

sprnca_gedi

WIP to map Foliage Height Diversity along the San Pedro Riparian Corridor with NASA's GEDI Lidar

GEDI_Yucatan

Supplementary material for the study: Space Lidar for Archaeology? Reanalyzing GEDI Data for Detection of Ancient Maya Buildings

q_research

For processing of ICESat GLAS, GEDI and ICESat-2 LiDAR data, to derive q parameter for canopy height to density relationship

gedi-tutorials

GEDI L3 and L4 Tutorials

ISCE

InSAR Scientific Computing Environment version 3 alpha

LiCSBAS

LiCSBAS package to carry out InSAR time series analysis using LiCSAR products

MintPy

Miami InSAR time-series software in Python

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

Parallel InSAR processing for Time-series analysis

PyRate

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data

ARIRA-tools

Tools for exploiting ARIA standard products

ISCE_utils

Small utility scripts for working with InSAR Scientific Computing Environment (ISCE) products

ROI_PAC-Sentinel1

InSAR processing of Sentinel-1 using ROI_PAC

insar_scripts

Useful scripts for working with roipac data

isce2

InSAR Scientific Computing Environment version 2

snap2stamps

Using SNAP as InSAR processor for StaMPS

demeter

A land use land cover disaggregation and change detection model

Video map

Tools to create, , export and share video maps

Tree height and canopy cover map in 3D

Use Kepler.gl to visualise 3D and 2D data

Greppo

Python framework for building geospatial web-applications

How we processed data to retrieving canopy height

challenges 2020

ECMWF Summer of Weather Code 2020 challenges

challenges 2021

ECMWF Summer of Weather Code 2021 challenges

Making open meteorological and climate data better accessible. , and

See also

Use satellite data to track the human footprint in the Amazon rainforest

We would like to pose the challenge of automatically detecting buildings from satellite images

Kagglers are challenged to accurately classify features in overhead imagery

Building Missing Maps with Machine Learning

openAI solution

Open solution to the Mapping Challenge

AtmosHack2018

Contains information and resources for Copernicus Hackathon 2018 in Helsinki

drivendataorg - cloud-cover-winners

Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge

S1_S2_ARD_code_list

A curated list supporting the use of Sentinel-1 and Sentinel-2 analysis-ready data (ARD) via application programming interface (API)

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization

realtime covid19 graphs in USA

A collection of work related to COVID-19

Deep learning with Python notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

'Most of these ‘tricks’ are things I’ve used or stumbled upon during my day-to-day work. '

Visualizing machine learning one concept at a time

Change your Jupyter Theme

Custom Jupyter Notebook Themes

Awesome Semantic Segmentation

awesome-semantic-segmentation

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)

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

Introduction to Python for computational science

Book: Introduction to Python for Computational Science and Engineering

Learn R and Python in Parallel

Xarray

N-D labeled arrays and datasets in Python

This notebook demonstrates how to use the matplotlib library to plot beautiful graphs

Useful tips on rasters in PostGIS

not checked but perhaps useful

Intro to Numerical Computing with NumPy (Beginner) | SciPy 2018 Tutorial | Alex Chabot-Leclerc

Classification-Algorithm

Classification algorithm workshop for WiMLDS

dtreeviz

A library for decision tree visualization and model interpretation

Python_tips

Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet

introduction to ml with Python

Notebooks and code for the book "Introduction to Machine Learning with "

Matplotlib_Cheatsheet

GDSL-UL/Teaching_Links

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 Programming A course by @dabeaz

GeoStats, Resources

Geostatistics

This is the online version of the O’Reilly book: Efficient R programming. Code is

Environmental_Intelligence

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

This is EO

Community Datasets added by users and made available for use at large

Awesome Sentinel

curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data

awesome-remote-sensing

Collection of Remote Sensing Resources

awesome-Geospatial

Long list of geospatial tools and resources

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

Awesome Geospatial Companies

List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)