Title :
Derivation of vegetation isoline equations in red-NIR reflectance space
Author :
Yoshioka, Hiroki ; Huete, Alfredo R. ; Miura, Tomoaki
Author_Institution :
Dept. of Aerosp. & Mech. Eng., Arizona Univ., Tucson, AZ, USA
fDate :
3/1/2000 12:00:00 AM
Abstract :
A technique to derive vegetation isoline equations in red-NIR reflectance space for homogeneous canopies is proposed and demonstrated. A canopy radiative transfer model, known as the Cooper-Smith-Pitts model, is utilized with truncation of the higher order interaction term between the canopy and soil layers. The technique consists of two model simulations, one with a perfect absorber as canopy background and the other with an arbitrary background to estimate the canopy optical properties necessary for the determination of the isoline parameters. These cases are independent of the soil optical properties of any specific site. Hence, the results can be used for any type or series of soils to construct the vegetation isoline equation. A set of simulations was also conducted using the SAIL model to demonstrate the vegetation isoline derivation by the proposed technique. Reflectances and vegetation indices (VI) estimated from the vegetation isoline generally showed good agreement with those simulated by the SAIL model, especially for relatively darker soil. The isoline equation and derivation were found to be useful for further study of two-band VIs and their variation with canopy background
Keywords :
geophysical techniques; remote sensing; vegetation mapping; Cooper-Smith-Pitts model; IR reflection; NIR; SAIL model; canopy background; canopy optical properties; geophysical measurement technique; homogeneous canopy; infrared reflectance; isoline equations; model simulation; optical method; optical properties; perfect absorber; radiative transfer model; red-NIR reflectance space; remote sensing; vegetation mapping; visible region; Atmosphere; Biosensors; Brightness; Calibration; Equations; Optical sensors; Reflectivity; Remote monitoring; Soil; Vegetation mapping;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on