Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.689641 |
Mapping LAI using BRDF model in Arid and Semi-arid Northwestern China | |
Peng, Hongchun1; Li, Haiying1; Li, Xin1; Zhang, Wanchang2; Chen, Yanhua2 | |
通讯作者 | Peng, Hongchun |
会议名称 | Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI |
会议日期 | SEP 13-14, 2006 |
会议地点 | Stockholm, SWEDEN |
英文摘要 | Leaf area index (LAI) is a critical vegetation parameter for the global and regional scale studies of the climatic and environmental change. There are many methods that can be used to get LAI. In this paper, the method, developed by Qi et al. (2000) was selected. The process includes three steps: the first step is model inversion, using BRDF model to produce LAI with pixels chose randomly in one vegetation type region; the second step is quality control, removing the outliers, fitting equations using the LAI from second step and satellite data NDVI; the third step is LAI mapping, selecting the best equation and applying it to the whole region to mapping spatial LAI distribution. The main objective of this paper is to get one method that can be used in Arid and Semi-arid Northwestern China to derive LAI in the case of lack of LAI measurements. The results derived by the above approach were compared with ones derived from the empirical method (Sellers et al. 1996) and the LAI measured in field. The results suggested that the method can get good result and Rz was 0.7947, though they were greater than field measurements. The results from empirical method were closer to the measurements than ones from Qi's method, but the higher the values of NDVI were, the greater the values of estimated LAI were than LAI measurements, when the values of NDVI were greater than a certain values (here 0.74). However, the result derived from Qi's method is closer to the LAI measured in field. In general, this method was feasible in arid and semi-arid northwestern China and can get satisfactory results. |
英文关键词 | LAI BRDF model TM empirical method arid and semi-arid region |
来源出版物 | REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS AND GEOLOGY VI |
ISSN | 0277-786X |
出版年 | 2006 |
卷号 | 6366 |
ISBN | 0-8194-6461-9 |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000242031400038 |
WOS关键词 | LEAF-AREA INDEX ; SURFACE PARAMETERIZATION SIB2 ; BIOPHYSICAL PARAMETERS ; ATMOSPHERIC GCMS ; REFLECTANCE DATA ; INVERSION ; PROSPECT |
WOS类目 | Environmental Sciences ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/296240 |
作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China; 2.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Peng, Hongchun,Li, Haiying,Li, Xin,et al. Mapping LAI using BRDF model in Arid and Semi-arid Northwestern China[C]:SPIE-INT SOC OPTICAL ENGINEERING,2006. |
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