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中国北方地区植被覆盖度遥感估算及其变化分析 被引量:53

Fractional vegetation cover estimation in northern China and its change analysis
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摘要 为了分析中国北方地区2000年之后植被覆盖度的时空分布及其变化,利用MODIS光谱反射率数据计算归一化植被指数,采用像元二分模型对中国北方地区2000—2012年植被覆盖度进行定量估算,分析研究区13 a间植被覆盖度的时空变化特征。研究结果表明:植被覆盖度年内变化特征体现在最大植被覆盖度一般出现在7和8月份,与中国北方地区植被的生长季相一致;整个中国北方地区年最大植被覆盖度呈现缓慢增长的趋势,其增长速率为每年0.2%;年最大植被覆盖度变化的空间分布具有较大差异,其中东北、华北和黄土高原等三北防护林工程建设区的年最大植被覆盖度有较明显的增长。 The aim of this study is to analyze the spatial-temporal pattern and change of fractional vegetation cover (FVC) in northern China since 2000. FVC of northern China from 2000 to 2012 was estimated using dimidiate pixel model based on the normalized difference vegetation index ( NDVI) calculated by MODIS spectral reflectance data. The FVC change trends and characteristics of the study area during the 13 years were analyzed. The inner annual FVC change trend in northern China indicated that the maximum FVC generally appeared in July or August, which was consistent with the vegetation growth season. The maximum annual FVC showed a slightly increase trend in the whole study area, and the annual increase rate was 0. 2%. However, the spatial distribution of maximum annual FVC change trend had great differences. The typical regions of the Three-North Shelter Forest Region such as Northeast China, North China and Loess Plateau region had an obviously increase in maximum annual FVC.
出处 《国土资源遥感》 CSCD 北大核心 2015年第2期112-117,共6页 Remote Sensing for Land & Resources
基金 国家自然科学基金项目"基于机器学习和融合算法的全球陆表植被覆盖度遥感估算方法研究"(编号:41301353) 遥感科学国家重点实验室自由探索项目"多尺度植被覆盖度观测实验与遥感产品验证数据集生产"(编号:14ZY-06) 国家"863"计划项目"全球生态系统与表面能量平衡特征参量生成与应用"(编号:2013AA122801) 国家测绘地理信息局科技领军人才科技资助项目共同资助
关键词 像元二分模型 中国北方 植被覆盖度 时空变化特征 dimidiate pixel model northern China fractional vegetation cover spatial-temporal change characteristics
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  • 1梁顺林,李小文,王锦地,等.定量遥感:理念与算法[M].北京:科学出版社,2003:382.
  • 2程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008,20(1):13-18. 被引量:202
  • 3邢著荣,冯幼贵,杨贵军,王萍,黄文江.基于遥感的植被覆盖度估算方法述评[J].遥感技术与应用,2009,24(6):849-854. 被引量:79
  • 4Zeng X B, Dickinson R E,Walker A,et al. Derivation and evalua- tion of global 1 km fractional vegetation cover data for land model- ing[ J ]. Journal of Applied Meteorology,2000,39 ( 6 ) :826 - 839.
  • 5Van de Voorde T, Vlaeminck J, Canters F. Comparing different ap- proaches for mapping urban vegetation cover from Landsat ETM + data : A case study on brussels [ J ]. Sensors, 2008,8 ( 6 ) : 3880 - 3902.
  • 6Xiao J F, Moody A. A comparison of methods for estimating frac- tional green vegetation cover within a desert - to - upland transition zone in central New Mexico, USA [ J ]. Moody A. Remote Sensing of Environment ,2005,98 ( 2/3 ) :237 - 250.
  • 7North P R J. Estimation of FAPAR, LA1, and vegetation fraetional cover from ATSR - 2 imagery [ J ]. Remote Sensing of Environ- ment,2002,80(1) :114 - 121.
  • 8Gutman G, Ignatov A. The derivation of the green vegetation frac- tion from NOAA/AVHRR data for use in numerical weather pre- diction models [ J ]. International Journal of Remote Sensing, 1998, 19(8) :1533 - 1543.
  • 9唐世浩,朱启疆,王锦地,周宇宇,赵峰.三波段梯度差植被指数的理论基础及其应用[J].中国科学(D辑),2003,33(11):1094-1102. 被引量:47
  • 10贾坤,姚云军,魏香琴,高帅,江波,赵祥.植被覆盖度遥感估算研究进展[J].地球科学进展,2013,28(7):774-782. 被引量:229

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