The lab exercise videos demonstrates how to work with remote sensing imagery available from USGS, USDA, ESA, and NASA with QGIS, SAGA GIS, SNAP, and Pix4Dmapper. Each video runs...

Clipping • How to clip a raster image to the extent of a vector polygon in order to speed up processing times as well to display only the imagery you want.

Training Classifiers, Supervised Classification and Error Assessment • How to add raster and vector data from the catalog in Google Earth Engine; • Train a classifier; •...

Data Acquisition • Acquiring data stored on Google’s servers for use in Google Earth Engine.

Visualization • How to use the knowledge of how to visualize images that you learned in previous tutorials and embed the visualization parameters inside of the GEE script so...

Pixel Selection • Select pixels from rasters with conditional statements and boolean operators; • Select from multiple bands and images to create a single selection; •...

Raster Algebra • Select bands from multispectral images • Use mathematical operators to perform raster algebra • Calculate NDVI from a Landsat image

Data Management • Create and edit fusion tables • Upload imagery, vector, and tabular data using Fusion Tables and KMLs • Share data with other Google Earth Engine (GEE)...

Charts, Histograms, and Time Series • Create a histogram graph from band values of an image collection • Create a time series graph from band values of an image collection