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基于GIS和遥感技术的植被覆盖度反演模型
引用本文:陈国荣,刘健,施聪智,余坤勇,赖光辉.基于GIS和遥感技术的植被覆盖度反演模型[J].吉林林学院学报,2010(3):251-254.
作者姓名:陈国荣  刘健  施聪智  余坤勇  赖光辉
作者单位:[1]福建农林大学林学院,福建福州350002 [2]三明学院,福建三明365000
基金项目:国家科技人员服务企业行动项目(2009GJC40032); 国家“十一·五”科技支撑计划项目(2006BAD23B05)
摘    要:从福建省第5次森林资源一类调查样地点中抽取落在漳浦县区域的30个样地点,运用GIS和遥感技术提取研究区植被指数(NDVI,VARIg)和地形因子作为自变量,利用三倍标准差法进行异常数据的筛选,并将定性因子量化处理,通过逐步回归分析方法构建研究区的植被盖度反演模型,对漳浦县植被覆盖度进行反演.从模外抽取26个样地点对模型进行精度验证.结果表明:所构建的反演模型的平均精度达到80.96%,对于快速、精确地实现区域植被盖度反演具有一定的指导意义.

关 键 词:GIS  遥感技术  植被覆盖度  逐步线性回归

Estimating Model of Vegetation Fraction Based on GIS and RS Technologies
Authors:CHEN Guo-rong  LIU Jian  SHI Cong-zhi  YU Kun-yong  LAI Guang-hui
Institution:1.Forestry College of Fujian Agriculture and Forestry University,Fuzhou 350002,China;2.Sanming University,Sanming 365000,China)
Abstract:This research extracted 30 samples of vegetation fraction in Zhangpu County from 5th forest resource continuous investigation data of Fujian Province,established an estimating model of vegetation fraction with the elements of the vegetation index(NDVI,VARIg)and terrain which extracted directly obtained from the GIS and RS technologies and flittered by the thrice standard deviation method and liner regression method.The precision of the model were tested with data that were extracted from another 26 samples.The results show that the average precision of the model is 80.96%,which showed that the model is useful for vegetation fraction estimate.
Keywords:GIS  RS  vegetation fraction  liner regression
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