农业工程学报2012，Vol.28Issue(19)：103-109,7.DOI:10.3969/j.issn.1002-6819.2012.19.014
基于MODIS叶面积指数的遥感物候产品反演方法
Vegetation phenology monitoring method using time-series MODIS LAI data
摘要
Abstract
Vegetation phenology can provide important informations which reflect the response of vegetation to climate and environment. Recently, remote sensing has become a new way to monitor vegetation phenology. Phenology from remote sensing has been widely used to monitor the response to climate. However, there were very few regional-to-global phenology products that limited the study and application of phenology. Based on the summary of existing methods, the paper proposed a new method which is more universal, stable and practical. This method was employed in China using time-series MODIS LAI data in 2007. The results were validated with ground phenology observations and MLCD data. The root mean square errors (RMSE) for different vegetation type were 4.0~33.5, the mean absolute errors were -20.6~ 15.3 and the correlations were 0.404~0.887. By comparison with MLCD data, the success rate and the accuracy of the method have been highly improved.关键词
遥感/物候/植被/叶面积指数(LAI)Key words
remote sensing/ phenology/ vegetation/ leaf area index (LAI)分类
信息技术与安全科学引用本文复制引用
夏传福,李静,柳钦火..基于MODIS叶面积指数的遥感物候产品反演方法[J].农业工程学报,2012,28(19):103-109,7.基金项目
国家自然科学基金青年基金项目(编号:40801143) （编号:40801143）
国家高技术研究发展计划("863"计划)项目(编号:2009AA122102) （"863"计划）
国家自然科学基金重点基金项目(编号:40730525) （编号:40730525）
