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Remote Sensing Lab Exercise Videos
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... -
GEE_2: Google Earth Engine Tutorial Pt. II
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. -
GEE_0: The Google Earth Engine Explorer
Training Classifiers, Supervised Classification and Error Assessment • How to add raster and vector data from the catalog in Google Earth Engine; • Train a classifier; •... -
GEE_1: Google Earth Engine Tutorial Pt. I
Data Acquisition • Acquiring data stored on Google’s servers for use in Google Earth Engine. -
GEE_3: Google Earth Engine Tutorial Pt. III
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... -
GEE_4: Google Earth Engine Tutorial Pt. IV
Pixel Selection • Select pixels from rasters with conditional statements and boolean operators; • Select from multiple bands and images to create a single selection; •... -
GEE 5: Google Earth Engine Tutorial Pt. V
Raster Algebra • Select bands from multispectral images • Use mathematical operators to perform raster algebra • Calculate NDVI from a Landsat image -
GEE 6: Google Earth Engine Tutorial Pt. VI
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)... -
GEE 7: Google Earth Engine Tutorial Pt. VII
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