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基于MODIS时间序列数据的作物季相信息提取
引用本文:颉继珍,王红说,黄敬峰.基于MODIS时间序列数据的作物季相信息提取[J].遥感技术与应用,2010,25(5):647-652.
作者姓名:颉继珍  王红说  黄敬峰
作者单位:(1.甘肃省测绘工程院,甘肃 兰州730000; 2.香港中文大学,香港; 3.浙江大学农业遥感与信息技术应用研究所,浙江 杭州310029)
摘    要:基于MODIS NDVI时间序列数据对浙北平原单季稻区进行作物季相一致性分析。对NDVI时间序列数据进行离散傅立叶变换去除噪声,再利用土地利用现状图提取耕地区的NDVI影像图,根据时间序列曲线的最大值研究作物的季相。结果表明:水稻生长期对NDVI时间序列曲线的响应和季相一致性均较小麦和油菜好;8 d合成的数据较16 d合成的数据可以更详细地反映作物季相信息。研究证实了MODIS NDVI时间序列曲线对区域作物季相分析的意义。

关 键 词:作物季相  MODIS  离散傅立叶变换  时间序列  
收稿时间:2010-01-16

Crop Phenology Information Extraction Using MODIS Multi-temporal Data
XIE Ji-zhen,WANG Hong-shuo,HUANG Jing-feng.Crop Phenology Information Extraction Using MODIS Multi-temporal Data[J].Remote Sensing Technology and Application,2010,25(5):647-652.
Authors:XIE Ji-zhen  WANG Hong-shuo  HUANG Jing-feng
Affiliation:1.Gansu Province Engineering Institute of Surveying and Mapping,Lanzhou 730000,China; ; 2.Institute of Space & Earth Information Science,The Chinese University of Hong Kong,Hong Kong,China;; 3.Institute of Agricultural Remote Sensing & Information Technology,College of   Environmental and; Resource Sciences,Zhejiang University,Hangzhou 310029,China)
Abstract:Phenology consistency information was extracted from MODIS NDVI time series data of plain single\|rice district northern Zhejiang.NDVI time series data were treated using discrete fourier transformation method in order to rectify the wrong data.Land use map was used to derive the NDVI time series data of cultivated land in study area.Maximum values of time series data per pixel were extracted to make analysis about the regional crop phenology characteristics.The result showed that rice had better phenology consistency than rape and wheat,and phenology information got from 8 days composite data was more detailed than that from 16 days composite data.Growing period response of rice to NDVI time series was much better than that of rape and wheat.The result indicates that the potential senses of MODIS NDVI time series to analyzing regional crop phonologies.
Keywords:Crop phenology  MODIS  Discrete Fourier Transformation  Time series  
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