基于单时相Landsat8_OLI影像的棉花提取技术研究  

Study on Cotton Information Extraction Based on Single-temporal Landsat8_OLI Image

作　　者：刘杰[1,2] 刘振波[1,2] 刘吉凯[2] 陈瑶 

机构地区：[1]南京信息工程大学气象灾害省部共建教育部重点实验室 [2]南京信息工程大学遥感学院,南京210044 [3]南京特捷交通技术系统有限公司,南京210061

出　　处：《科学技术与工程》2014年第33期28-33,共6页Science Technology and Engineering

基　　金：江苏省基础研究计划(自然科学基金)项目(BK20130992);国家重点基础研究发展计划"973"(2010CB950701)资助

摘　　要：针对利用单时相遥感影像快速、高精度地提取棉花信息研究较少的现状,根据作物的物候历,选取棉花生育期的单时相Landsat8_OLI影像。通过对棉花和其他地物的光谱特征与植被指数的差异性分析表明:近红外波段(NIR)和差值植被指数(DVI)是棉花识别的特征指数;并由此构建了OLI数据的棉花信息提取的特征指数模型。经实地验证,运用此模型提取的库尔勒市棉花信息的生产精度为97.96%,用户精度为98.63%。基于单时相遥感影像的棉花提取思路可以为我国主要棉产区的棉花信息遥感提取、长势监测和产量估测提供新思路和技术参考。In order to establish a rapid and accurate cotton information extraction method using single-temporal Landsat8_OLI image,Korla city as an example in Xinjiang Uygur Autonomous Region is took,used Landsat8_OLI satellite image on August 28,2013 according to the cotton phenological calendar. The difference of spectral characteristics and vegetation index between cotton and other main land cover types are analyzed,and established a model of cotton information extraction based on the near infrared band（ NIR） and difference vegetation index（ DVI）,then the model was used to extract cotton information in Korla city. The results of statistical accuracy assessment suggested that the model was effective with production accuracy is 97. 96% and user accuracy is 98. 63%. The results show that the process of the cotton identification method can provide a technological support for understanding cotton planting situation,monitoring cotton growing condition and estimating the yield of cotton in other cotton-producing areas.

关 键 词：单时相Landsat8_OLI影像 光谱特征 植被指数 棉花 

分 类 号：S562[农业科学—作物学]