Derivation of Relationships between Spectral Vegetation Indices from Multiple Sensors Based on Vegetation Isolines

Remote Sensing

Hiroki Yoshioka¹  Tomoaki Miura² 

[1] Department of Information Science and Technology, Aichi Prefectural University, 1522-3 Ibara, Nagakute, Aichi 480-1198, Japan; E-Mail:;Department of Natural Resources and Environmental Management, University of Hawaii at Manoa, 1910 East West Road, Sherman 101, Honolulu, HI 96822, USA

关键词: data continuity;    cross calibration;    vegetation isoline equation;    vegetation index;   

DOI  :  10.3390/rs4030583

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.