A series of Jupyter notebook to learn Google Earth Engine with Python

Visualize classified time series data with interactive Sankey plots in Google Earth Engine

Batch export Google Earth Engine (GEE) tasks with `Tampermonkey`.

Penman-Monteith-Leuning Evapotranspiration on GEE

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population

Google Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina

Using GEE to collect and discover land surface temperature data over European river basins.

A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

Non-parametric weighted Whittaker smoothing

Interactive Code Editor-style reprs for Earth Engine objects in a Jupyter notebook

The built-up land mapping of the North China Plain from 1990 to 2019

A lightweight Python package for interactive mapping with Earth Engine and folium

A Colab notebook for land cover mapping and monitoring using Earth Engine

All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/

✨🗺️ Snazzy basemaps in the Earth Engine code editor

Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app