Spectral Vegetation Indexes and the Remote Sensing of Biophysical Parameters
K. F. Huemmrich, Samuel N. Goward
Abstract
K. F. Huemmrich, Samuel N. Goward
Abstract
Combinations of remotely sensed data from different spectral bands have been combined into spectral vegetation indexes (SVIs) and used to determine biophysical parameters. The characteristics of two-band SVIs made up of visible and near-infrared reflectances are examined. Two canopy reflectance models, a turbid media model and a geometrical model, are used to study the effects of different canopy structures on the measurement of leaf area index and the fraction of photosynthetically intercepted active radiation.
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Combinations of remotely sensed data from different spectral bands have been combined into spectral vegetation indexes (SVIs) and used to determine biophysical parameters. The characteristics of two-band SVIs made up of visible and near-infrared reflectances are examined. Two canopy reflectance models, a turbid media model and a geometrical model, are used to study the effects of different canopy structures on the measurement of leaf area index and the fraction of photosynthetically intercepted active radiation.
Key concepts: Vegetation (pathology), Remote sensing, Environmental science, Vegetation Index, Spectral analysis, Computer science, Normalized Difference Vegetation Index, Geology