Simulation and analysis of NDVI performance based on vegetation canopy radiative transfer model

Yuyan Zeng; Runhe Shi; Pudong Liu; Jinquan Ai; Cong Zhou

doi:10.1117/12.2187221

4 September 2015 Simulation and analysis of NDVI performance based on vegetation canopy radiative transfer model

Yuyan Zeng, Runhe Shi, Pudong Liu, Jinquan Ai, Cong Zhou

Proceedings Volume 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII; 961017 (2015) https://doi.org/10.1117/12.2187221
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

This paper uses PROSAIL model to simulate vegetation canopy reflectance under different chlorophyll contents and Leaf area index (LAI). The changes of NDVIs with different LAIs and chlorophyll contents are analyzed. A simulated spectral dataset was built firstly by using PROSIAL vegetation radiative transfer model with various vegetation chlorophyll concentrations and leaf area index. The responses of NDVIs to LAIs are quantitatively analyzed further based on the dataset. The results show that chlorophyll contents affect canopy reflectance mainly in visible band. Canopy reflectance decreases with an increasing chlorophyll content. Under the same LAI value, NDVI values increase with an increase chlorophyll contents. Under constant content of chlorophyll, NDVIs increases with an increasing LAI. When the value of LAI is less than5, the canopy reflectance is significantly affected by soil background. When value of LAI is higher than5, the earth surface is almost completely covered with vegetation. The increase in LAI has little effect on canopy reflectance and NDVIs consequently. NDVIs increases with the adding of chlorophyll content, when chlorophyll is higher than 40, the rangeability of NDVIs is becoming stable.

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Yuyan Zeng, Runhe Shi, Pudong Liu, Jinquan Ai, and Cong Zhou "Simulation and analysis of NDVI performance based on vegetation canopy radiative transfer model", Proc. SPIE 9610, Remote Sensing and Modeling of Ecosystems for Sustainability XII, 961017 (4 September 2015); https://doi.org/10.1117/12.2187221

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KEYWORDS

Reflectivity

Vegetation

Radiative transfer

Data modeling

Performance modeling

Computer simulations

Absorption

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