Remote Sensing Applications and Decision Support

Simulation and mapping of rice growth and yield based on remote sensing

[+] Author Affiliations
Jonghan Ko, Seungtaek Jeong, Han-Yong Kim

Chonnam National University, Applied Plant Science, 77 Younbong-ro, Buk-gu, Gwangju 500-757, Republic of Korea

Jongmin Yeom, Hyunok Kim

Korea Aerospace Research Institute, Satellite Applications Division, 169-84 Gwahak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea

Jong-Oh Ban

Hallym Polytechnic University, Department of Internet Business, 48 Janghak-gil, Dong-myeon, Chuncheon, Kangwon 200-711, Republic of Korea

J. Appl. Remote Sens. 9(1), 096067 (Mar 31, 2015). doi:10.1117/1.JRS.9.096067
History: Received January 26, 2015; Accepted March 13, 2015
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Abstract.  The GRAMI crop growth model uses remote sensing data and thus has the potential to produce maps of crop growth and yield. A pixel-based crop information delivery system (CIDS) to simulate and map rice (Oryza sativa) growth and yield was developed using GRAMI. The GRAMI-rice model was parameterized using field data obtained at Chonnam National University, Gwangju, Republic of Korea, in 2011 and 2012. The model was separately validated using field data obtained at the same research site in 2009 and 2010. The model was then integrated into the CIDS to produce two-dimensional (2-D) maps of crop growth and yield. Simulated values of rice growth and yield agreed well with the corresponding measurements in both parameterization and evaluation. The simulated yields were in statistical agreement with the corresponding measured yields according to paired t tests (p=0.415 for parameterization and p=0.939 for validation). The CIDS accurately produced 2-D maps of rice growth and yield. The GRAMI-rice CIDS has simple input requirements and will be useful for regional rice growth monitoring and yield mapping projects.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Jonghan Ko ; Seungtaek Jeong ; Jongmin Yeom ; Hyunok Kim ; Jong-Oh Ban, et al.
"Simulation and mapping of rice growth and yield based on remote sensing", J. Appl. Remote Sens. 9(1), 096067 (Mar 31, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.096067


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