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3 November 2005 Estimation of net primary production using the retrieved reflectance by unmanned helicopter with semi-empirical BRDF model
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Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 604316 (2005) https://doi.org/10.1117/12.654887
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
A method of net primary production (NPP) estimation from pattern-decomposition-based vegetation index (VIPD) using ADEOS-II/GLI data has been developed. But since the global sensor (GLI) could not be directly above the objective when observing, it is necessary to consider the effect of bi-directional reflectance distribution function (BRDF). To validate the method of NPP estimation and for the algorithm for the retrieval of albedo from GLI, bi-directional reflectance factors (BRF) observations for the reflectance of a cedar forest on the Kii peninsula with a sensor onboard an unmanned helicopter were held in July, 2002. In this paper, a kernel-based BRDF model is used to remove the BRDF's effect on the reflectance. The semi-empirical Ross-Li (reciprocal RossThick-LiSparse) model and its performance under conditions of BRF observations are discussed, showing that the retrievals obtained are reliable. The retrieved reflectance is the nadir viewing and the overhead sun could be achieved by this model. And then VIPD could be calculated from the retrieved reflectance. With the data of VIPD and photosynthetically active radiation (PAR), NPP is estimated as 0.36 KgCO2/m2/month.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Chen, S. Furumi, Y. Xiong, K. Muramatsu, Y. Honda, K. Kajiwara, and N. Fujiwara "Estimation of net primary production using the retrieved reflectance by unmanned helicopter with semi-empirical BRDF model", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604316 (3 November 2005); https://doi.org/10.1117/12.654887
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