GEOG 6445 - Remote Sensing of Vegetation

Remotely sensed data have widespread use for mapping and monitoring vegetation. Spatial, spectral and temporal resolution has important impacts on our ability to measure vegetation properties in different ecosystems. Remotely sensed data are particularly suited to quantifying spatial changes in vegetation over time caused by phenology and disturbance. This course investigates the theory and application of remote sensing of vegetation.