Simulating rice yield by integrating GIS data and MODIS-LAI for Jeolla-do region in South Korea

Jeong Hyun Kim, Hieu Cong Nguyen, Jung Bin Lee, Joon Heo

Research output: Contribution to conferencePaper

Abstract

Paddy rice is the main crop and food in South Korea. Rice yield estimation is of great significant to obtain timely and accurately at early stages, which plays the important role in decision making and agricultural policy. Rice yield is resulted from the integration of weather, soil, water supply, cultural practice and rice phonological properties at a certain field. In this study, we aim to examine Water Accounting Rice Model (WARM) for rice yield estimation by integrating GIS data and remote sensing data. The experimental was conducted on Jeolla-do region, South Korea in 2007. GIS data including meteorological data and soil characteristics; and remote sensing data (MODIS-LAI) were the major input for WARM model. Rice yield information at the same year from Korea Statistic was collected to verify WARM's results. As a consequence, it indicated that WARM's estimation is overestimated compared to Korea Statistic data. Root Mean Square Error (RMSE) and Relative Root Mean Square Error (%RMSE) of WARM were 35.11 kg/10A and 7.88%, respectively.

Original languageEnglish
Publication statusPublished - 2015 Jan 1
Event36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
Duration: 2015 Oct 242015 Oct 28

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
CountryPhilippines
CityQuezon City, Metro Manila
Period15/10/2415/10/28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Kim, J. H., Nguyen, H. C., Lee, J. B., & Heo, J. (2015). Simulating rice yield by integrating GIS data and MODIS-LAI for Jeolla-do region in South Korea. Paper presented at 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015, Quezon City, Metro Manila, Philippines.