Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
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Updated
Jun 26, 2024 - JavaScript
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Code for generating satellite imagery optimised for marine environment using Google Earth Engine
Precipitation dataset comparison in GEE. Supplementary material (code and data) for the article submitted for IGARSS 2024, entitled Evaluation of precipitation datasets available in Google Earth Engine on a daily basis for Czechia.
Improving the water-extent monitoring of Swedish wetlands with open-source satellite data and Google Earth Engine
JavaScript program that uses machine learning and a new method of automatically generating training data to detect new artisanal gold mining activity.
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)
This script aims to determine the most suitable threshold for surface water extraction from Sentinel-1 image and provide a fully automatic processing chain for detecting, monitoring surface water and mapping water dynamics.
Project GIS/RS Application for Applied Meteorology Course
Utilizing Google Earth Engine and satellite imagery to identify wildfire occurrences.
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
This code repository is an attachment for the article in Remote Sensing: Paluba et al. (2021): "Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems" (https://www.mdpi.com/1093660).
SMOKE Policy Tool: Model and project the impact of Indonesian fires on public health in Equatorial Asia for 2005-2029 based on land use/ land cover classification, GFEDv4s fire emissions, and meteorology in Google Earth Engine
HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product
Supplementary material for the article "Automatic classification of forests using Sentinel-2 multispectral satellite data and machine learning methods in Google Earth Engine"
This project uses satellite images on Google Earth Engine to predict canopy height and estimate carbon content in the University of Malaya forest area.
Once you have successfully configured the project in Google Earth Engine, you can utilize the link I have provided below. Simply by pressing the "run" button, you can execute the command or script that I have prepared.
Extract the sea surface temperature from a polygon using google earth
Sample GEE scripts for the vscode EE tasks extension
Add a description, image, and links to the google-earth-engine topic page so that developers can more easily learn about it.
To associate your repository with the google-earth-engine topic, visit your repo's landing page and select "manage topics."