Paper Info
Title
Derivation of Relationships between Spectral Vegetation Indices from Multiple Sensors Based on Vegetation Isolines
Abstract
An analytical form of relationship between spectral vegetation indices (VI) is derived in the context of cross calibration and translation of vegetation index products from different sensors. The derivation has been carried out based on vegetation isoline equations that relate two reflectance values observed at different wavelength ranges often represented by spectral band passes. The derivation was first introduced and explained conceptually by assuming a general functional form for VI model equation. This process is universal by which two VIs of different sensors and/or different model equations can be related conceptually. The general process was then applied to the actual case of normalized difference vegetation index (NDVI) from two sensors in a framework of inter-sensor continuity. The derivation results indicate that the NDVI from one sensor can be approximated by a rational function of NDVI from the other sensor as a parameter. Similar result was obtained for the case of soil adjusted VI, enhanced VI, and two-band variance of enhanced VI.
Year
DOI
Venue
2012
10.3390/rs4030583
REMOTE SENSING
Keywords
Field
DocType
data continuity,cross calibration,vegetation isoline equation,vegetation index
Vegetation,Cross Calibration,Vegetation Index,Remote sensing,Normalized Difference Vegetation Index,Enhanced vegetation index,Spectral bands,Geology,Rational function,Wavelength
Journal
Volume
Issue
ISSN
4
3
2072-4292
Citations 
PageRank 
References 
3
0.63
18
Authors
3
Name
Order
Citations
PageRank
Hiroki Yoshioka18323.06
Tomoaki Miura28318.25
Kenta Obata33715.95