Regional Crop Yield Assessment by Combination of a Crop Growth Model and Phenology Information Derived from MODIS
This study presents a method for crop yield assessment at regional scales. It integrates a crop growth model with phenology information derived from MODIS LAI product. This research focused on South Hebei province, an alluvial plain which is a primary winter wheat production region in North China. Previous experiment shows that, although the MODIS LAI product (MOD15A2) was gen-erally underestimated in North China, it resembles the phenological development trend of ground measured LAI. A data assimilation scheme based on SCE (Shuffled Complex Evolution) global optimization algorithm was introduced. Two sets of the phenological transition dates of the winter wheat growing seasons were extracted: one from model simulation, and the other from MODIS LAI products. Then, the initial conditions of SWAP model was re-adjusted by minimizing the differ-ence of the phenological transition days between the two sets based on the SCE algorithm. The results indicated that the method with assimilation have a lower RMSE 5.4％ in 2007 and 15.4％ in 2008 compare to the method without assimilation, suggesting a moderate improvement achieved by the assimilation method. Furthermore, this method can be also extended by using phenology information derived from MODIS Vis (vegetation index) or other satellite data.
MODIS LAI Crop Model Assimilation Phenology Information Regional Yield
Wenbo Xu Hao Jiang Jianxi Huang
Institute of Geo-Spatial Information Science and Technology,University of Electronic Science and Tec College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, P.
国际会议
南昌
英文
981-989
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）