NDLI: Integrating remotely sensed lai with epic model based on global optimization algorithm for regional crop yield assessment

Content Provider	IEEE Xplore Digital Library
Author	Jianqiang Ren Fushui Yu Jun Qin Zhongxin Chen Huajun Tang
Copyright Year	2010
Description	Author affiliation: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China (Jun Qin) \|\| Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing 100081, China (Jianqiang Ren; Fushui Yu; Zhongxin Chen; Huajun Tang)
Abstract	Assimilating external data into crop growth model to improve accuracy of crop growth monitoring and yield estimation has been being a research hotspot in recent years. In this paper, the global optimization algorithm SCE-UA (Shuffled Complex Evolution method - University of Arizona) was used to integrate remotely sensed leaf area index (LAI) with crop growth model EPIC to simulate regional yield, sowing date, plant density and net nitrogen fertilizer application rate of summer maize in Huanghuaihai Plain. The final results showed that average relative error of estimated summer maize yield was 4.37% and RMSE was 0.44t/ha. Meanwhile, compared with actual observation and investigation data, average relative error of simulated sowing date, plant density and net N fertilization application rate was 1.85%, −7.78% and −10.60% respectively. These above accuracy of simulated results could meet the need of crop monitoring at regional scale. It was proved that integrating remotely sensed LAI with EPIC model based on global optimization algorithm SCE-UA for simulation of crop growth condition and crop yield was feasible.
Starting Page	2147
Ending Page	2150
File Size	1448168
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5654060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Agriculture Remote sensing Data models Optimization Meteorology Soil Yield estimation LAI Crop growth model EPIC data assimilation remote sensing global optimization algorithm yield estimation
Content Type	Text
Resource Type	Article

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