Harness the Power of Google Earth Engine for GIS Spatial Data Analysis & Remote Sensing
InstructorMinerva Singh
Instruction spans atmospheric correction, pan-sharpening, and various classification methods including K-means and supervised techniques.
The curriculum includes specific tasks such as buffering, zonal statistics, and converting between raster and vector formats.
One signal suggests that certain functions may not be available in the latest version of Google Earth Engine, complicating exercise replication. This report predates the displayed update date, and while an update occurred later, it does not guarantee a correction.
One signal notes a lack of explanation regarding the underlying purpose or reasoning behind specific code blocks.
The curriculum aligns well with the stated goals of environmental and geography students using GEE.