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GEE self-Training

The instruction draft can be accessed at request ;)

(The first chapter is for those who would like to review some of the basic of remote sensing.)

Content

Basic introduction to remote sensing

Type of sensors, optical property/spectrum of common surface features

Optical imagery

Microwave imagery

Other

Basic concepts and terms of remote sensing study

Basic introduction to Google Earth Engine

General Introduction

Geometry, Feature, and FeatureCollection

Image and Image Collection

Image

  • Import and Visualization of imagery:
  • Clipping, band math, masking, differencing

Image Collection:

  • Filtering and importing image collection, collection property
  • Mapping function over a collection

Uploading your data

Charts and Export data

Time series analysis

Time series charts

Trend analysis

Spatial correlation

Case study of (slightly) advanced analysis of Google Earth Engine

Quick visualization and downloading data

Unsupervised classification

Supervised classification

Mapping and analysis of existing products

Publishing and Sharing

What’s more

Appendix

Timeline of earth observatory satellite

MODIS Specifications

Sentinel 2 band designations

Landsat band designations

  • Landsat 1-5 Multispectral Scanner (MSS)
  • Landsat 4-5 Thematic Mapper (TM)
  • Landsat 7 Enhanced Thematic Mapper Plus (ETM+)
  • Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS)

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Google Earth Engine self-Training

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