An impact study of NDVI on the BPDF model under different atmosphere and multi-angles conditions

Bangyu Ge; Zhengqiang Li; Weizhen Hou; Yan Ma; Yisong Xie; Haofei Wang; Sifeng Zhu; Jie Chen

doi:10.1117/12.2547899

18 December 2019 An impact study of NDVI on the BPDF model under different atmosphere and multi-angles conditions

Bangyu Ge, Zhengqiang Li, Weizhen Hou, Yan Ma, Yisong Xie, Haofei Wang, Sifeng Zhu, Jie Chen

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 1133834 (2019) https://doi.org/10.1117/12.2547899
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

Normalized Differential Vegetation Index (NDVI), usually calculated by surface reflectance at red and near-infrared bands (NDVI_Surf), which is an essential index in remote sensing. NDVI_Surf is generally used to discriminate different surface cover types and adopted in many surface models as a vital adjustable parameter to estimate the surface reflectance in remote sensing aerosol retrieval. However, NDVI_Surf is challenging to obtained directly and usually calculated by the red and near-infrared reflectance at the top of atmosphere (NDVI_TOA). NDVI_TOA is very susceptible to the atmosphere with different angles. If NDVI_Surf is replaced by the NDVI_TOA, it will cause an error of surface reflectance estimation and then make the wrong aerosol retrieval. In this study, Second Simulation of a Satellite Signal in the Solar Spectrum, Vector version (6SV) radiative transfer code was used to analyze the effects of NDVI_TOA on a surface Bidirectional Polarization Distribution Function (BPDF) model under different atmosphere and multi-angles conditions. The results display that the NDVI_TOA decreases with the rise of AOD. Within scattering angle (SA) of 60° to 115°, the influences of NDVI_TOA on BPDF are great and increases with the AOD reduces. Within the SA between 115° to 180°, the effects of NDVI_TOA on BPDF are small and remain unchanged with the AOD decreases. The simulation and analysis results have a great significance for polarized aerosol retrieval.

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Bangyu Ge, Zhengqiang Li, Weizhen Hou, Yan Ma, Yisong Xie, Haofei Wang, Sifeng Zhu, and Jie Chen "An impact study of NDVI on the BPDF model under different atmosphere and multi-angles conditions", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 1133834 (18 December 2019); https://doi.org/10.1117/12.2547899

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KEYWORDS

Atmospheric modeling

Reflectivity

Aerosols

Vegetation

Bidirectional reflectance transmission function

Remote sensing

Atmospheric particles

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