| Full text | |
| Author(s): |
Yoshioka, Hiroki
[1]
;
Miura, Tomoaki
[2]
;
Dematte, Jose A. M.
[3]
;
Batchily, Karim
[4]
;
Huete, Alfredo R.
[5]
Total Authors: 5
|
| Affiliation: | [1] Aichi Prefectural Univ, Dept Informat Sci & Technol, Nagakute, Aichi 4801198 - Japan
[2] Univ Hawaii Manoa, Dept Nat Resources & Environm Management, Coll Trop Agr & Human Resources, Honolulu, HI 96822 - USA
[3] Univ Sao Paulo, Dept Soil Sci, Piracicaba, SP - Brazil
[4] Nat Resources Conservat Serv, USDA, Athens, GA 30601 - USA
[5] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85721 - USA
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | REMOTE SENSING; v. 1, n. 4, p. 842-857, DEC 2009. |
| Web of Science Citations: | 10 |
| Abstract | |
This paper introduces derivations of soil line influences on two-band vegetation indices (VIs) and vegetation isolines in the red and near infra-red reflectance space. Soil line variations are described as changes in the soil line parameters (slope and offset) and the red reflectance of the soil surface. A general form of a VI model equation written as a ratio of two linear functions (e.g., NDVI and SAVI) was assumed. It was found that relative VI variations can be approximated by a linear combination of the three soil parameters. The derived expressions imply the possibility of estimating and correcting for soil-induced bias errors in VIs and their derived biophysical parameters, caused by the assumption of a general soil line, through the use of external data sources such as regional soil maps. (AU) | |