A Preliminary Study on Modelling Winter Wheat GPP of Farm Shelterbelts in Huang-Huai-Hai Plain of China

doi:10.3969/j.issn.1000-6362. 2015.05.012

Abstract

Abstract: The effects of shelterbelt system on farmland productivity are complex, which need an integrated monitoring of multiple shelternets. Remote sensing provided a promising tool for monitoring those effects in multiple shelternets synchronously. In case of Huang-Huai-Hai plain, multi-source remote sensing images were fused based on enhenced spatial and temporal adaptive reflectance fusion model (ESTARFM) to inverse gross primary productivity (GPP) of winter wheat with light use efficiency model in farmland shelterbelt. Results indicated that: (1) based on the light use efficiency model and images fusion, simulated GPP had signaficant linear correlation with measurements. The determination coefficient of measured and simulated values of wheat GPP is 0.8596 with an average relative error of 15.62%. As a result, the light use efficiency model had higher calculation accuracy. (2) We found highly spatial heterogeneity in GPP which modeled in 10 nets of Shelterbelts. This study preliminary revealed the feasibility of quantitative estimation of the GPP in farmland shelterbelts based on the remote sensing image fusion. Our work provided an important tool to further investigate the effecst of shelterbelts on farmland productivity.

Key words: Farmland shelterbelt system, Light use efficiency model, Satellite image fusion, Multiple shelternets

YIN Chang-jun, LI Yan-quan ，ZHANG Jin-song ,WANG He-song，ZHENG Ning, LI Chun-you. A Preliminary Study on Modelling Winter Wheat GPP of Farm Shelterbelts in Huang-Huai-Hai Plain of China[J]. Chinese Journal of Agrometeorology, 2015, 36(05): 619-624.

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