Start with Google Earth Engine & Spatial Analysis #Beginners

Define remote sensing and earth observation, using electromagnetic radiation sensors to record images and extract useful information, while comparing advantages and limitations of satellite data.

Explore satellite images and their pixel-based digital representations, including multispectral and hyperspectral bands. Compare true color and false color composites and learn spatial, spectral, radiometric, and temporal resolutions.

Learn to work with satellite images for land use and land cover mapping, including image selection and acquisition. Preprocess with cosmetic operations, radiometric calibration, atmospheric correction, and geometric correction.

Learn to use the Google Earth Engine code editor to write JavaScript, visualize maps, manage assets, and share code via Git while performing interactive geospatial analysis with layers and exports.

Learn the basics of JavaScript syntax for Google Earth Engine, including variables, strings, lists, dictionaries, and functions. Practice commenting, printing, indexing, and dot notation for geospatial analysis in remote sensing.

This lab shows how to import Landsat 8 top-of-atmosphere reflectance data into Google Earth Engine, filter by region and date, and compute a median image for visualization.

Compute ndvi from infrared and red bands in Google Earth Engine using band-based, function-based, and expression methods, and visualize results with map centering on the study area.

Learn to map a JavaScript function over an image collection in Google Earth Engine, selecting bands and applying an expression to produce a new image collection for analysis.

Practice JavaScript basics from section four—declaring variables, mapping and reducing collections, and visualizing Landsat imagery—then change area and time period to create your own image visualizations.

Explore image-based classification in the Google Earth Engine explorer with Landsat data, training points, and a random forest classifier to generate and download results.

Explore how to grow your skills in JS, remote sensing, data science, and machine learning through the instructor's Udemy offerings, Geo World videos, and social channels.