沈阳农业大学学报2018，Vol.49Issue(3)：257-265,9.DOI:10.3969/j.issn.1000-1700.2018.03.001
基于MODIS NDVI数据的辽宁省春玉米物候期提取研究
Phenophase Extraction of Spring Maize in Liaoning Province Based on MODIS NDVI Data
摘要
Abstract
Having maize phenophases by remote sensing can improve its fine management level in field, which is significant for monitoring seasonal changes of maize and ensuring food security. In this paper,Liaoning province was taken as the studying area, based on the MODIS NDVI data of 2007, 2008 and 2009, and the fitting methods of Asymmetric Gaussians functions, Savitsky-Golay filter and Double Logistic functions are used to reconstruct the NDVI time series. The dynamic amplitude threshold method, inflection point method and maximum value method were used to extract the key phenophases (seedling, jointing, tasseling and maturity stage) of spring maize in Liaoning province, and the phenophases data observed at 12 agrometeorological stations in Liaoning were used to verify the extraction result. The results showed that the reconstruction based on the AG model was better compared with other two methods. The averages root mean square error (RMSE) of 2007, 2008 and 2009 were 0.035, 0.050 and 0.041, respectively. The smoothing effect based on the S-G method was better than those of other two methods. The averages R2 were 0.99, 0.993 and 0.993, respectively. The extraction result based on the AG model was better than those of other two methods on jointing, tasseling and maturity stages. The mean absolute error (MAE) of each year''s extraction result and the actual observation value were less than 5d, and the RMSE was less than 4d. On seedling stage, the extraction result based on S-G model was obviously better than those of other two methods, and the RMSEs on seedling stage of 2007, 2008 and 2009 were 4.1d, 4.0d and 2.9d, respectively. The dynamic amplitude threshold method was better than dynamic threshold method. It could effectively correct abnormally low values and make the extraction results better. This research could provide an effective technological approach to extract the spring maize phenophases of large area.关键词
辽宁省/春玉米/物候期/MODISNDVIKey words
Liaoning province/spring maize/phenophases/MODIS NDVI分类
农业科技引用本文复制引用
宫诏健,刘利民,陈杰,张钊,贺鑫,黄荟羽,贾萍,王莹,宋文锦..基于MODIS NDVI数据的辽宁省春玉米物候期提取研究[J].沈阳农业大学学报,2018,49(3):257-265,9.基金项目
国家自然科学基金面上项目(31070429) （31070429）
中国科学院战略性先导科技专项项目(XDA05050600) （XDA05050600）
