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A curated list of Google Earth Engine resources
A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)
Geospatial Ecology and Remote Sensing Lab, Introduction to RS of the Environment using GEE; Lab 01.
Air Temperature Regression in Four States of the USA
A Collection of Python and Javascript Script to perform Geographical analysis using Google Earth Engine Python API and Javascript Code Editor_Rainfall-Runoff
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Salinity and turbidity detection of water ponds using Satellite imagery
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).
Land Surface Temperature from Landsat on Google Earth Engine
Land Surface Temperature MODIS Visualization (LaSTMoV)
This code repository is an attachment for the article in Remote Sensing: Onačillová, K.; Gallay, M.; Paluba, D.; Péliová, A.; Tokarčík, O.; Laubertová, D. Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment. https://doi.org/10.3390/rs14164076
Flood Mapping from Single Sentinel-1 SAR
The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.
Spatial Analysis and Remote Sensing with Python Tutorials
Scripts collection used to collect, analyze and report forest datasets
GEE salinity script for a region
Tool to determine priority areas of concern due to the urban heat island effect for the City of Tempe, AZ.
Urban Monitoring LST with MODIS Data
Water quality scripts for Google Earth Engine
A repository storing code and outputs supplementing investigation for the paper "Investigating Freshwater Salinity and Economic Development"
The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).
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.