Remote sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales remote sensing is a large and diverse field for which this Handbook will be the key research reference. Illustrated throughout, an essential resource for the analysis of remotely sensed data, The SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Chapter 25: Remote Sensing for Studies of Vegetation Condition: Theory and Application
Remote Sensing for Studies of Vegetation Condition: Theory and Application
vegetation, spectral response, data selection, resolution, change detection.
Remotely sensed data is a proven source of information for detailed characterization of vegetation type (e.g., Gould 2000, Luther et al. 2006), structure (e.g., Gamon et al. 2004, Healey et al. 2006), and condition (e.g., Rossini et al. 2006, Wulder et al. 2006a). The spatial, spectral, and temporal resolution at which the data are acquired is critical in how these vegetation properties are observed, and may ultimately determine the success of a particular remote sensing application. Therefore, when undertaking applications with remotely sensed data, it is imperative to have aclear understanding of the information need that is to be ...