中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Topographic Correction-Based Retrieval of Leaf Area Index in Mountain Areas

文献类型:期刊论文

作者CHEN Wei ; CAO Chunxiang
刊名Journal of Mountain Science
出版日期2012-04
卷号9期号:2页码:166-174
关键词SPOT-5 image Vegetation Index Leaf Area Index Topographic correction Mountain areas
通讯作者CAO Chunxiang
英文摘要Leaf Area Index (LAI) is a key parameter in vegetation analysis and management, especially for mountain areas. The accurate retrieval of LAI based on remote sensing data is very necessary. In a study at the Dayekou forest center in Heihe watershed of Gansu Province, we determined the LAI based on topographic corrections of a SPOT-5. The large variation in the mountain terrain required preprocessing of the SPOT-5 image, except when orthorectification, radiation calibration and atmospheric correction were used. These required acquisition of surface reflectance and several vegetation indexes and linkage to field measured LAI values. Statistical regression models were used to link LAI and vegetation indexes. The quadratic polynomial model between LAI and SAVI (L=0.35) was determined as the optimal model considering the R and R2 value. A second group of LAI data were reserved to validate the retrieval result. The model was applied to create a distribution map of LAI in the area. Comparison with an uncorrected SPOT-5 image showed that topographic correction is necessary for determination of LAI in mountain areas.
收录类别SCI
语种英语
公开日期2013-04-15
源URL[http://192.168.143.20:8080/handle/131551/5077]  
专题成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2012_Vol9 No.2
推荐引用方式
GB/T 7714
CHEN Wei,CAO Chunxiang. Topographic Correction-Based Retrieval of Leaf Area Index in Mountain Areas[J]. Journal of Mountain Science,2012,9(2):166-174.
APA CHEN Wei,&CAO Chunxiang.(2012).Topographic Correction-Based Retrieval of Leaf Area Index in Mountain Areas.Journal of Mountain Science,9(2),166-174.
MLA CHEN Wei,et al."Topographic Correction-Based Retrieval of Leaf Area Index in Mountain Areas".Journal of Mountain Science 9.2(2012):166-174.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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