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Google Earth Engine
Land Cover Mapping
Published on Dec 29, 2024
The surface of the Earth is continuously changing at many levels; local, regional, national, and global scales. Changes in land use and land cover are pervasive, rapid, and can have significant impacts on people, the economy, and the environment.
Beginner guide to python Folium module to integrate google earth engine
Published on Dec 29, 2024
Folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map.
Google Earth Engine: Disadvantages and Limitation
Published on Jan 01, 2025
As Google Earth Engine becomes popular in geoscience and data computation, there are a few things to consider before you dive in. This blog will highlight some of GEE's limitations and disadvantages. Importantly, Google Earth Engine is free only for non-commercial, non-production use. This means its sole purpose is to serve educational professionals, students, and nonprofit organizations.
GEE Zonal Statistics and export as CSV
Published on Jan 01, 2025
Get statistics in each zone of the image or image collection in the Google Earth engine and export the data in CSV. Statistics are simple tools that help us for a better understanding of our images. Spatial statistics is one of the most rapidly growing areas of statistics.
Export Google Earth Engine Images directly to your computer.
Published on Jan 01, 2025
Export images, image collection, and map tiles from the Google Earth Engine collection directly to your computer.
Integrate Google Earth Engine(GEE), Pandas framework and Matplotlip - Spatial Data Mining
Published on Jan 01, 2025
Discovery Patterns in Spatial data, extract potentially useful information from data stored in images, and visualize the result in dynamic charts.
Google Earth Engine tip 1 (clipping)
Published on Jan 01, 2025
Google Earth Engine (GEE) Tips provide a foundation to quickly begin learning and using GEE. If you are new to GEE, you will want to know small and handy tips.
