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作 者:郝鹏宇[1,2,3] 牛铮[1] 王力[1] 阿不力克木·阿不都拉 王秀兰[3]
机构地区:[1]中国科学院遥感与数字地球研究所,遥感科学国家重点实验室,北京100101 [2]中国科学院大学,北京100049 [3]北京林业大学林学院,北京100083 [4]国家统计局新疆调查总队,新疆乌鲁木齐830001
出 处:《遥感技术与应用》2013年第2期309-314,共6页Remote Sensing Technology and Application
基 金:国家重点基础研究发展规划项目(2010CB950603);公益性行业(气象)科研专项经费(GYHY201006042);国家自然科学基金(40971202);国家自然科学基金(41001209);欧盟项目CEOP-AEGIS(FP7-ENV-2007-1Grant nr.212921)
摘 要:增强植被指数(EVI)是植被生长状态及植被覆盖度的指示因子,其时序数据也已成为基于物候特征开展大区域植被和土地覆盖分类的基本手段。利用Savitzky-Golay滤波对MODIS EVI16d合成时间序列数据进行重建,并利用2006~2010年重建得到的时序数据建立棉花理想时序EVI曲线,通过比较待分类像元与理想曲线欧氏距离的方法,提取新疆博乐市棉花种植分布。使用2011年实地调查的棉花地块为感兴趣区,利用混淆矩阵对2011年棉花种植分布的提取结果进行精度检验,总体精度为82.31%。结果表明:利用多年数据建立的理想时序EVI曲线提取棉花种植分布有效可行。Vegetation mapping based on EVI time series matching have been widely used due to the usefulness of EVI datasets in distinguishing phenological differences,and many scholars have made great results.However,most studies just made the ideal time series profile from the unclassified image,and research on constructing the ideal profile from datasets of previous years is even less.This study used the time series Moderate Resolution Imaging Spectroradiometer(MODIS) EVI datasets with intermediate spatial resolution(250 m),high temporal resolution(16 day composite period),and cost free status,made use of Savitzky-Golay method to reconstruct the EVI time series image,odopted the dataset between 2006 and 2010 to create an ideal EVI time series profile of cotton and collected the plant distribution of cotton in 2011 by comparing the Euclidean distance between the ideal profile and the time series EVI profile of unclassified pixels.This study also used the cotton plot surveyed in 2011 as region of interest,checked out the accuracy of the plant distribution of cotton in 2011 using confusion matrix.The result is that the overall accuracy is 82.31%,demonstrating that collecting the plant distribution of cotton using the ideal profile created by the datasets in pervious years is feasible.
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