Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

Hong Wang; Runhe Shi; Pudong Liu; Mingliang Ma; Wei Gao

doi:10.1117/12.2061281

8 October 2014 Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model

Hong Wang, Runhe Shi, Pudong Liu, Mingliang Ma, Wei Gao

Author Affiliations +

Proceedings Volume 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI; 922110 (2014) https://doi.org/10.1117/12.2061281
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

Remote sensing is an effective tool to estimate foliar pigments contents with the analysis of vegetation index. The crucial issue is how to choose the optimal bands-combination to conduct the vegetation index. In this study, RVI, a vegetation index computed by the reflectance of Red and NIR bands, has been used to estimate the contents of chlorophyll and carotenoid. The reflectance of the two bands forming the narrow band RVI was simulated by the PROSPECT model. The possible combinations of narrow band RVI were examined from 400 nm to 800 nm. The results showed that: At the leaf level, estimation of chlorophyll content can be identified in narrow band RVI. Ranges for these bands included: (1) 549-589nm, 616-636nm or 729-735nm combined with 434-454nm; (2) 663-688nm, 710-717nm, 719-728nm or 730- 739nm combined with 549-561nm; (3) 663-688nm combined with 569-615nm. However, no valid narrow-band RVI for the estimation of carotenoid content was successfully identified. Our results also showed that two rules should be followed when choosing optimal bands-combination: (1) the selected bands must have minimal interference from other biochemical constituents; (2) there should be distinct differences between the sensitivities of the bands selected for particular pigments.

Citation Download Citation

Hong Wang, Runhe Shi, Pudong Liu, Mingliang Ma, and Wei Gao "Analysis of optimal narrow band RVI for estimating foliar photosynthetic pigments based on PROSPECT model", Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 922110 (8 October 2014); https://doi.org/10.1117/12.2061281

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KEYWORDS

Reflectivity

Vegetation

Data modeling

Near infrared

Remote sensing

Absorption

Curium

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