%0 Journal Article
%T Study on Extraction of Paddy Rice Fields from Multitemporal MODIS Images<br>多时相MODIS影像水田信息提取研究
%A ZHANG You-shui
%A YUAN Li-feng
%A YAO Yong-hui
%A <br>张友水
%A 原立峰
%A 姚永慧
%J 遥感学报
%D 2007
%I 
%X Information of paddy rice fields and their spatial distribution is the data source for land use and land cover changes,crop yield estimates,methane emission estimates,food security,and water resources management.A number of studies have explored the potential of remote sensing images to identify paddy rice fields.Those studies that identified paddy rice fields used image classification procedures for TM images and temporal development of the NDVI for AVHRR images.8-day composite MODIS(Moderate Resolution Imaging Spectroradiometer) Surface Reflection products(MOD09A1) provide the potential for the improved characterization of vegetation at large spatial scale.According to the different paddy rice growth stages,multitemporal MODIS images were selected by the flooding and transplanting period,growing period,maturation period,and the fallow period after harvest.Three vegetation indices,Normalized Difference Vegetation Index(NDVI),Enhanced Vegetation Index(EVI),and Land Surface Water Index(LSWI) using the shortwave infrared band sensitive to soil moisture and leaf moisture content,were calculated to extract information of paddy rice fields.We compared the paddy rice fields dataset to the dataset extracted from ETM+ images and produced at 40-km gridded data,the results show that the paddy rice extracting algorithm of time-series MODIS data could be applied to monitor paddy rice fields at large spatial scales.
%K paddy rice fields
%K surface reflectance
%K Land Surface Water Index
%K multitemporal MODIS images<br>水田
%K 地表反射率
%K 陆表水指数
%K 多时相MODIS影像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=704F669F840CF04B&yid=A732AF04DDA03BB3&vid=708DD6B15D2464E8&iid=0B39A22176CE99FB&sid=4133DDB79B497495&eid=334C61CAF4C8EF4E&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=13