Using Google Earth Engine for Remote Sensing
An example of geospatial analysis using Google Earth Engine with normalized vegetation density index (NDVI) as an example use case.
An example of geospatial analysis using Google Earth Engine with normalized vegetation density index (NDVI) as an example use case.
Course Resources
Resources
Slides (PDF)
Lesson 4 Slides: Using Google Earth Engine
Code (GitHub)
https://github.com/aiddata/gie-toolkit
This GitHub repo contains code demonstrations for the entire course. This code includes examples of analysis in Stata as well as utilizing remote sensing and earth observation data through Google Earth Engine.
Related Reading
Kumar, Lalit, and Onisimo Mutanga. "Google Earth Engine applications since inception: Usage, trends, and potential." Remote Sensing 10.10 (2018): 1509. Note: Google Earth Engine (GEE) provides a powerful platform through which to access and process satellite and other geospatial data sources. This paper provides an overview of applications using GEE. During the training, we provide a basic introduction to the use of GEE, and this paper can help explore the range of possibilities that the platform can offer. Again, this paper includes substantial detail, so please feel free to read only the first page and/or skim the remaining sections.