Optical vegetation coverage is a better parameter for estimating vegetation biomass

Peijun Liu; Lin Zhang; Ranghui Wang; Zili Fan

doi:10.1117/12.319520

19 August 1998 Optical vegetation coverage is a better parameter for estimating vegetation biomass

Peijun Liu, Lin Zhang, Ranghui Wang, Zili Fan

Proceedings Volume 3504, Optical Remote Sensing for Industry and Environmental Monitoring; (1998) https://doi.org/10.1117/12.319520
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

Optical vegetation coverage can be defined as the ratio of the optical information content of the actual vegetation to that of at the full of vegetation in pixel. Its reflectance model of NOAA/AVHRR is as follows: C_ov equals R_A2-R_A1- r_so/R_A2V-R_A1V-r_so Where: Cov is optical vegetation coverage; R_A2 and R_A1 are respectively the reflectances of the second and the first channel; R_A2V and R_A1V are respectively the reflectance of the second and the first channel at the full of vegetation; r_so is a constant, which is the difference of soil reflectance between the second channel and the first channel. Similarly, its radiance model of NOAA/AVHRR is as follows: C_ov equals B_A2-B_A1-b_so/B_A2V-B_A1V-b_so Its geometric meaning is analogous to the ratio of the projection of plant branches and leaves to pixel area. OVC has removed effects of soil background, and shows the weight of vegetation optical information, moreover, it has a uniform standard, as a parameter for estimating vegetation biomass, it is better than DVI, RVI and NVI. This parameter is used to monitor vegetation growing in Xinjiang and achieved good results. In order to extract the spectral information of soil water contents, C_ov is used to decompose pixels and removed the vegetation effects.

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Peijun Liu, Lin Zhang, Ranghui Wang, and Zili Fan "Optical vegetation coverage is a better parameter for estimating vegetation biomass", Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); https://doi.org/10.1117/12.319520

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KEYWORDS

Vegetation

Biological research

Reflectivity

Data modeling

Soil science

Channel projecting optics

Geometrical optics

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