Remote Sens. 2012, 4(3), 583-597; doi:10.3390/rs4030583
Article

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

1 Department of Information Science and Technology, Aichi Prefectural University, 1522-3 Ibara, Nagakute, Aichi 480-1198, Japan 2 Department of Natural Resources and Environmental Management, University of Hawaii at Manoa, 1910 East West Road, Sherman 101, Honolulu, HI 96822, USA
* Author to whom correspondence should be addressed.
Received: 31 January 2012; in revised form: 24 February 2012 / Accepted: 24 February 2012 / Published: 28 February 2012
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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.
Keywords: data continuity; cross calibration; vegetation isoline equation; vegetation index

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MDPI and ACS Style

Yoshioka, H.; Miura, T.; Obata, K. Derivation of Relationships between Spectral Vegetation Indices from Multiple Sensors Based on Vegetation Isolines. Remote Sens. 2012, 4, 583-597.

AMA Style

Yoshioka H, Miura T, Obata K. Derivation of Relationships between Spectral Vegetation Indices from Multiple Sensors Based on Vegetation Isolines. Remote Sensing. 2012; 4(3):583-597.

Chicago/Turabian Style

Yoshioka, Hiroki; Miura, Tomoaki; Obata, Kenta. 2012. "Derivation of Relationships between Spectral Vegetation Indices from Multiple Sensors Based on Vegetation Isolines." Remote Sens. 4, no. 3: 583-597.

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