Remote Sensing of Vegetation

Focuses on vegetation remote sensing, including forests and agriculture. The synoptic perspective offered by satellites allows spatial patterns of surface phenomena to be studied and maps of vegetative features extracted from these data sets, then compiled and incorporated into a geographical information system (GIS). Students analyze images in order to extract desired information. Derived products are created, such as normalized difference vegetation indices, which are used to track the length of growing seasons and vegetation health and anomalies. Examines a variety of relevant data types, including high to low spatial and spectral data. Offers students an opportunity to understand how ranks and weights are applied to these products to produce a final map that highlights specific characteristics of vegetation they choose to highlight, using map algebra techniques. Prereq. RMS 6110 (which may be taken concurrently).

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