Replication code and data for the paper 'Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa'
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Updated
Mar 18, 2020 - JavaScript
Replication code and data for the paper 'Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa'
Public repository for Estimating Heating Loads in Alaska and Beyond (Summer 2022 UW Data Science for Social Good Project)
DHIS2 webapp that extracts values from Google Earth Engine for a given subset of DHIS2 OUs, a certain period and datasets/variables mapping and injects them into DHIS2
This code snippet demonstrates the geospatial analysis and visualization of Equatorial Guinea using Google Earth Engine. It includes layers for slope analysis, gross primary productivity (GPP), normalized burn ratio thermal (NBRT), and normalized difference vegetation index (NDVI)
UrbanGreenInsights: Analyzing green space dynamics in Indian cities using satellite data for sustainable urban development.
A list of all the scale and offset parameters for each raster dataset in Google Earth Engine.
Monitoring nitrogen dioxide levels in North Rhine-Westphalia using data from ESA's Sentinel-5P mission
CLI pipeline for Planet, Satellogic, Digital Globe & Google Earth Engine Imagery
SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of t…
A Time-Series Analysis on the Urban Growth of Denver since 1986. This project utilizes Google Earth Engine in conjunction with the geemap package developed by Dr. Quisheng Wu. Supervised classification was conducted on Landsat images of the greater Denver Metro area and corroborated with Census data to analyze the growth of Denver's urban center…
📖 🌎 Scripts written during DEVELOP training in Google Earth Engine based on modules from Colorado State University.
清华大学校园绿化遥感监测与分析
Python package to estimate Land Surface Temperatures from Google Earth Engine's Landsat imagery
ML using GEE javascript API
Experimental wrapper package for {terra} + Google Earth Engine use cases
Code for generating satellite imagery optimised for marine environment using Google Earth Engine
Helper library to work with the Google Earth Engine Python API.
eemont is a python package can be found in the Earth Engine Community, here you will find a cheatsheet for ease of use for the user in a user friendly way.
Análisis de la expansión urbana en el Área Metropolitana de San Salvador (AMSS) y el municipio de Colón de El Salvador.
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