Paper Info
Title
Investigation of inter-sensor NDVI relationships based on analytical representation of soil isolines
Abstract
This study introduces an analytical approach to derive a relationship between values of Normalized Difference Vegetation Index (NDVI) obtained from datasets of two sensors with different band passes in the context of inter-sensor cross-calibration of such vegetation index (VI) products. Derivation of the relationship has been performed based on a concept of soil isolines. Starting from the soil isoline equations, an inter-sensor NDVI relationship was derived and represented by a system of equation with a single common parameter. In the derived form of NDVI relationship, all the coefficients were written by the soil reflectances (independent of canopy layer.) The functional form of the relationship becomes rational function of the first-order polynomials, when the soil isoline equations are approximated by the form of first-order polynomials. Those results indicate a functional form suitable to model a relationship of NDVI from two sensors.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6352516
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
calibration,geophysical techniques,polynomials,sensors,soil,vegetation,Normalized Difference Vegetation Index,analytical approach,analytical representation,band passes,canopy layer,first-order polynomials,intersensor NDVI relationships,intersensor cross-calibration,rational function,soil isoline equations,soil reflectances,vegetation index products,NDVI,cross calibration,soil isoline,vegetation isoline
Soil science,Vegetation,Cross Calibration,Polynomial,Computer science,Vegetation Index,Remote sensing,Normalized Difference Vegetation Index,Enhanced vegetation index,Rational function,Calibration
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
3
PageRank 
References 
Authors
0.56
2
3
Name
Order
Citations
PageRank
Kenta Taniguchi132.25
Kenta Obata23715.95
Hiroki Yoshioka38323.06