Impacts of COVID-19 lockdown on Air quality.
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Updated
Sep 16, 2021 - Jupyter Notebook
Impacts of COVID-19 lockdown on Air quality.
Satellite images show Kakhovka dam before and after destruction using Geemap.
A multi-page streamlit web app template for geospatial applications
📋 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.
Jupyter notebooks using the geemap library
Spatial data Analysis repo utilized database and cloud computing
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…
Listado de códigos para Google Earth Engine
It contains codes and documentations within the scope of the Special Topics in Remote Sensing course
Automation of Satellite Image Downloads with GEE, geemap, and APIs
"Explore the world of geospatial data science with GEEMAP and Google Earth Engine! This repository is your go-to resource for learning about data management techniques and tools in the realm of geospatial analysis. Dive into tutorials, examples, and best practices to unlock the power of spatial data for your projects."
Monitoring water quality in the Santa Monica Bay using Landsat 8 OLI satellite data.
This repository contains the code on how to use Google earth engine for spatial analysis
Analyzing urban growth in Nordelta, Argentina with Landsat timelapse animation.
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.
An exploration of NDVI and wine quality using Google Earth Engine and geemap in a Jupyter notebook environment.
🚀 Execute Windows applications smoothly with Solara, a revolutionary engine designed for enhanced performance and reliability.
GeoShield is an advanced AI-driven platform designed for real-time landslide risk assessment using interactive satellite imagery and deep learning
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