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A collection of 300+ examples for using Earth Engine and the geemap Python package
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
processing script for Sentinel-2 and Landsat-8
Multitemporal Cloud Masking in the Google Earth Engine
European Forestry Dynamics Model
Definition of the Equi7Grid - a spatial reference optimized for global high-resolution raster data.
Readers and converters for ESA CCI Soil Moisture image and time series data. Written in Python.
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.
Framework for Operational Radiometric Correction for Environmental monitoring
Forest is a simple image analysis program designed to estimate forest canopy cover based on photographs taken from below. It is intended to speed up vegetation analysis process especially the estimation of forest canopy cover.
R code to generate canopy cover index from lidar data
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This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.
Python tutorial to process and handle LiDAR GIDE datasets
Notebook and functions for downloading and parsing large amounts of GEDI L2B data within defined regions.
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
Create Image Strips using images pulled from Google Earth Engine
A set of tools to use in Google Earth Engine Code Editor (JavaScript)
NDVI gif of New Zealand via Google Earth Engine tutorial.
Google Earth Engine personal packages
Penman-Monteith-Leuning Evapotranspiration in GEE
Google Earth Engine Tools (scripts)
Non-parametric weighted Whittaker smoothing
GeFolki is a coregistration algorithm develop at ONERA in Medusa project
Global Forest Change calculator - uses Hansen et a. (2013) GFC data to calculate forest cover for given set of areas
global forest mapping using Google Earth Engine
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.