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QGIS and Google Earth Engine Python API for Spatial Analysis QGIS and Google Earth Engine Python API for Spatial Analysis
QGIS and Google Earth Engine Python API for Spatial Analysis
Harness the power of big spatial data with Earth Engine Python API and QGIS
Created by Dr. Alemayehu Midekisa | 2.5 hours on-demand video course
In this QGIS and Google Earth Engine Python API for Spatial Analysis course, I will help you get up and running on the Earth Engine Python API and QGIS. By the end of this QGIS and Google Earth Engine Python API for Spatial Analysis course, you will have access to all example script and data such that you will be able to accessing, downloading, visualizing big data, and extracting information.
What you’ll learn
- Students will access and sign up the Google Earth Engine Python API platform
- Download, and install QGIS
- Access satellite data in Earth Engine
- Export geospatial Data
- Access image collections
- Learn to access and analyze various satellite data including, MODIS, Sentinel and Landsat
- Cloud masking of Landsat images
- Visualize time series images
- Extract information from satellite data
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