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Remote Sensing Science

Remote Sensing Science is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of remote sensing science and technology. The main focus of the journal is the academic papers and comments of latest improvement in the fields of basic theory, technology development and application of remote sensing science, report of latest research result, aiming at providing a good communication platform to tran... [More] Remote Sensing Science is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of remote sensing science and technology. The main focus of the journal is the academic papers and comments of latest improvement in the fields of basic theory, technology development and application of remote sensing science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of remote-sensing theory development for professionals, scholars, researchers and administrative staffs in this field, reflecting the academic front level, promote academic change and seize the theory, practice front line, research level and development direction of remote sensing science.

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ISSN Print:2329-8138

ISSN Online:2329-8146

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Paper Infomation

Simulated Reflectance of Apple Trees in Canopy Level Based on the PROSAIL Model and HJ-1A-HSI Data

Full Text(PDF, 440KB)

Author: Xiaoyan Guo, Xicun Zhu, Jingling Xiong, Ruiyang Yu, Xueyuan Bai, Yuanmao Jiang, Dongsheng Gao, Guijun Yang

Abstract: Using the PROSAIL radiation transfer model and HJ-1A-HSI data to simulate the canopy reflectivity of apple trees, this study lays the foundation for the inversion of canopy parameters. Taking Qixia City of Yantai City, Shandong Province as the research area, the apple tree was taken as the research object, and the hyperspectral reflectance, LAI and sample GPS of apple canopy were measured in the field. The parameters required for the PROSAIL model were obtained by experimental methods. The model simulates the reflectivity; the HSI image data is preprocessed, and the canopy reflectivity is extracted by GPS coordinates.The PROSAIL model and the HSI image simulated reflectance were fitted to the measured apple canopy reflectivity. The decisive factor (R2)of the simulated reflectance and the measured reflectance of the PROSAIL model was 0.9944, and the relative error(RE%)was 0.1845. The HSI data simulated reflectance and measured reflectance. The coefficient of determination is 0.9714 and the relative error is 0.6202. Both have achieved good fitting effects and can be used for inversion studies of apple canopy parameters.

Keywords: Apple Tree, PROSAIL Model, HJ-1A-HSI, Canopy Reflectivity

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