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草业学报 ›› 2011, Vol. 20 ›› Issue (4): 252-260.

• 研究论文 • 上一篇    下一篇

基于野外观测和TM数据的锡林浩特典型草原MODIS/LAI产品验证

王圆圆1,王猛2,3,李贵才1*,王军邦2,杨忠东1,戎志国1   

  1. 1.中国气象局中国遥感卫星辐射测量和定标重点开放实验室 国家卫星气象中心,北京 100081;
    2.中国科学院地理科学与资源研究所,北京100101;
    3.中国科学院研究生院,北京 100049
  • 收稿日期:2010-06-11 出版日期:2011-04-25 发布日期:2011-08-20
  • 通讯作者: E-mail:ligc@cma.gov.cn
  • 作者简介:王圆圆(1981-),女,安徽六安人,助研,博士。E-mail:wangyuany@cma.gov.cn
  • 基金资助:
    公益性行业科研专项[GYHY(QX)2007-6-9,GYHY200906036]和国家自然科学基金(40501048)资助。

Research on validating MODIS/LAI product in a typical semi-arid steppe of Xilinhot in Northern China

WANG Yuan-yuan1, WANG Meng2,3, LI Gui-cai1, WANG Jun-bang2, YANG Zhong-dong1, RONG Zhi-guo1   

  1. 1.Key Lab of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration (LRCVES/CMA), National Satellite Meteorological Center, Beijing 100081, China;
    2.Institute of Geographic Sciences and Natural Resources, CAS, Beijing 100101, China;
    3.Graduate School of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-06-11 Online:2011-04-25 Published:2011-08-20

摘要: 通过2008年夏季生长季的3期LAI野外观测和TM图像的处理分析,对锡林浩特国家观象台附近24 km2典型草原区的MODIS/LAI产品精度从时空2种维度进行了评估。结果显示,在时间维度上,MODIS/LAI产品可以较为准确的体现草地植被生长轨迹;在空间维度上,MODIS/LAI产品与TM/LAI反演结果有相似的变化趋势。以TM/LAI结果为参考真值,MODIS/LAI产品的相对均方根误差约为24%,并存在10.8%的正偏差,表明有一定程度的高估。误差分析结果显示,MODIS/LAI产品精度主要受到土壤背景光谱以及地表均匀程度的影响,在LAI较小的区域,以及在草地空间异质性因受人类活动而增强的7月初和8月末,MODIS/LAI产品误差更大。

Abstract: MODIS/LAI product in a typical semi-arid steppe of Xilinhot in Northern China was validated based on three comprehensive field surveys which were carried out during July-August 2008 in the study area. LAI was measured in 25 m×25 m plots by a destructive harvest method of 80 intensive plots and 20 scattered plots. Three TM/ETM+ images acquired during the field survey periods were collected and processed. The validation work covered two parts: Time series analysis and spatial pattern analysis. In time series analysis, MODIS/LAI track in the intensive sampling region extracted from DOY169 to DOY241 were compared with ground measured values. In spatial pattern analysis, LAI map with 30 m spatial resolution were first derived by building a regression line between LAI and TM band 5 (1.6 μm), and then aggregated to 1 km spatial resolution based on MODIS grids. Results indicated that in the temporal domain MODIS/LAI product can correctly reflect grass growth trends; In the spatial domain it showed a similar pattern with TM/LAI (1 km). Using the TM/LAI as reference, the relative RMSE of MODIS/LAI was about 24% and a positive bias (10.8%) existed, suggesting slight over-estimation. Error distribution analysis revealed that the MODIS/LAI product was less accurate in regions with lower LAI values, probably due to soil contamination. Moreover, the relative RMSE of the MODIS/LAI product was higher at the beginning of July and the end of August when the heterogeneity of grass cover increased as a result of human activities.

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