County Level Rice Yield Estimation Based on Combination of Terra and Aqua MODIS EVIs
PENG Dai-liang1,2; HUANG Jing-feng1,3,4,*; SUN Hua-sheng5; WANG Fu-min6
1Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou 310029, China; 2Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China; 3Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Zhejiang University, Hangzhou 310029, China; 4 Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou 310029,China；5College of Surveying and Mapping, Xuzhou Normal University, Xuzhou 221116, China; 6College of Architectural and Civil Engineering, Zhejiang University, Hangzhou 310058, China; *Corresponding author, Email: firstname.lastname@example.org
Based on the comparison of enhanced vegetation indices(EVIs) from moderate resolution imaging spectroradiometer(MODIS), linear, quadratic nonlinear and stepwise regression models were constructed with the 16day and 250m resolution vegetative indices of Terra and Aqua(MOD13Q1, MYD13Q1) combined EVIs multiply by township rice planting area and total rice grain yield in Liling City, Hunan Province, China. The optimal fitting models were selected by error analysis, and then the total rice yield in the next year was forecasted. More than 50% absolute values of errors between Terra and Aqua MODIS EVIs were less than 0.03, and 93.22% and 99.50% of them were less than 0.08 and 0.10, respectively. The relative errors of total rice grain yield for all optimal fitting models were less than 0.10%, although forecasting errors were larger than that of fitting, the relative errors of forecasting total rice grain yield were less than 5%.