Paper Info
Title
Inter-Algorithm Relationships for the Estimation of the Fraction of Vegetation Cover Based on a Two Endmember Linear Mixture Model with the VI Constraint
Abstract
Measurements of the fraction of vegetation cover (FVC), retrieved from remotely sensed reflectance spectra, serves as a useful measure of land cover changes on the regional and global scales. A linear mixture model (LMM) is frequently employed to analytically estimate the FVC using the spectral vegetation index(VI) as a constraint. Variations in the application of this algorithm arise due to differences in the choice of endmember spectra and VI model assumptions. As a result, the retrieved FVCs from a single spectrum depend on those choices. Therefore, the mechanism underlying this dependency must be understood fully to improve the interpretation of the results. The objective of this study is to clarify the relationships among algorithms based on the LMM. The relationships were derived analytically by limiting both the number of end members and the spectral wavelength band to two each. Numerical experiments were conducted to demonstrate and validate the derived relationships. It was found that the relationships between two algorithms of this kind could be characterized by a single parameter that was determined by the endmember spectra and the coefficients of a VI model equation used in the algorithms.
Year
DOI
Venue
2010
10.3390/rs2071680
REMOTE SENSING
Keywords
Field
DocType
raction of vegetation cover (FVC),linear mixture model (LMM),inter-algorithm relationship,vegetation index (VI),VI-isoline
Endmember,Linear model,Remote sensing,Algorithm,Spectral line,Geology,Reflectivity,Land cover,Wavelength,Mixture model,Vegetation cover
Journal
Volume
Issue
ISSN
2
7
2072-4292
Citations 
PageRank 
References 
5
0.75
11
Authors
2
Name
Order
Citations
PageRank
Kenta Obata13715.95
Hiroki Yoshioka28323.06