Scaling effect on the estimation of chlorophyll content using narrow band NDVIs based on radiative transfer model

Hong Wang; Runhe Shi; Pudong Liu; Zhou Cong

doi:10.1117/12.2186548

4 September 2015 Scaling effect on the estimation of chlorophyll content using narrow band NDVIs based on radiative transfer model

Hong Wang, Runhe Shi, Pudong Liu, Zhou Cong

Author Affiliations +

Proceedings Volume 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII; 961010 (2015) https://doi.org/10.1117/12.2186548
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

The aim of this work is to use narrow band normalized difference vegetation indices to compare the estimations of chlorophyll contents at foliar level and canopy level, through a large number of simulated canopy reflectance spectra under different chlorophyll contents based on PROSPECT model and SAIL model. 10 narrow band NDVIs were selected at the identified ranges that can effectively assess foliar chlorophyll content. We analyzed the correlations between canopy chlorophyll contents and the ten narrow band NDVIs firstly, and then analyze these indices’ sensitivities to all canopy parameters, the adaptation of the 10 narrow band NDVIs used in assessing the canopy chlorophyll content were evaluated finally. We found that only two narrow band NDVIs (i.e., NDVI(875, 725) and NDVI(900,720)) can be applied for the estimation of chlorophyll contents at canopy level.

Citation Download Citation

Hong Wang, Runhe Shi, Pudong Liu, and Zhou Cong "Scaling effect on the estimation of chlorophyll content using narrow band NDVIs based on radiative transfer model", Proc. SPIE 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 961010 (4 September 2015); https://doi.org/10.1117/12.2186548

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