geemap

Satellite images show Kakhovka dam before and after destruction using Geemap.

📋 Anaconda virtual environment with Jupyter notebook and Landsat imagery and geemap

Random Forest classification tool using LANDSAT 8 for location-based risk analysis, featuring Google Earth Engine and interactive visualizations of Land Cover.

A multi-page streamlit web app template for geospatial applications

Jupyter notebooks using the geemap library

GeoAI-based Landslide Susceptibility Assessment using Google Earth Engine, AHP, Weighted Linear Combination (WLC), Remote Sensing, and Generative AI.

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…

This project maps and analyzes burned areas resulting from the Mount Lawu forest fire (August 30 – September 29, 2023) using the Normalized Burn Ratio Plus (NBR+) index applied to Sentinel-2 Surface Reflectance imagery via Google Earth Engine.

Unofficial privacy-conscious macOS workbench for Google Earth Engine, geemap, JupyterLab and QGIS. 非官方、注重隐私的 macOS GEE、geemap、JupyterLab 与 QGIS 科研工作台。

Automated spatiotemporal analysis of soil salinization in the Aralkum region using Sentinel-2 and GEE.

Pipeline multimodal en Python (GEE) para el procesamiento de Sentinel-2 L2A. Incluye enmascaramiento avanzado, mosaicos estacionales y series de tiempo para el análisis fenológico en ecosistemas de Bosque Seco Tropical.

Impacts of COVID-19 lockdown on Air quality.

Flood risk assessment - Biobío and Vergara rivers, Chile

It contains codes and documentations within the scope of the Special Topics in Remote Sensing course

AI-powered crop health monitoring using Sentinel-2, Google Earth Engine, NDVI, NDRE, EVI, ESA WorldCover, and Gemini AI.

A research-grade Google Earth Engine skill for minimum-tile, date-coherent low-cloud ROI mosaics

Satellite-Based Methane Hotspot Detection over the Damodar Valley Coal Belt using Sentinel-5P TROPOMI, Google Earth Engine and Python.

This repository contains the code on how to use Google earth engine for spatial analysis

Hier befindet sich eine Sammlung an Satellitenzeitreihen, die mit Hilfe von leafmap, geemap & streamlit schnell und einfach in verschiedenen Bandkombinationen erstellt wurden und mit Hilfe des GIF Scrubber Add-Ons visuell interpretiert werden können.

Urban growth of Nordelta, Argentina, visualized as a Landsat time lapse with geemap.