中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study on the geometric-structure RS model for monitoring the dynamic succession of vegetation in the Tarim River Basin, Xinjiang, China

文献类型:会议论文

作者Japper ; Guli1 ; Chen ; Xi1 ; Ma ; Zhongguo1 ; Chang ; Cun1 ; Zhao ; Jin1 ; Liu ; Suhong2 ; Li ; Qiu3
出版日期2006
会议名称2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
会议日期2006
会议地点Denver, CO, United states
关键词Natural vegetation - Parameter set - Vegetation succession
页码3416-3418
中文摘要The growing status of the natural vegetation belts along both riversides of the Tarim River can directly reflect the situation of ecological environment in the basin, so it is very important to monitor the growing status of the natural vegetation along the mainstream of the Tarim River. In this paper, a geometric-structure conception model is developed to characterize the vegetation succession in the Tarim River Basin, the MODIS pixel models are also developed based on the images with high-temporal resolving power, each pixel is composed of the end members with different percentage structures, The response spectrum database of end member with different geometric-structure pattern, are derived with ground experiment and inversion model, and each pixel is expressed as: J=Z(X1, X2, X3...), a parameter set expresses the information of spectrum, vegetation index, livability, geometry characteristic, physiological-biochemical parameter, etc. of the pixel. Thus, a table of pixel models and monitoring information can be drawn up, and the possibility of rapidly monitoring the vegetation succession can be provided. (9 refs.)
收录类别EI
会议录2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
ISBN号10: 0780395107, 13: 9780780395107
源URL[http://ir.xjlas.org/handle/365004/10752]  
专题新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据)
推荐引用方式
GB/T 7714
Japper,Guli1,Chen,et al. Study on the geometric-structure RS model for monitoring the dynamic succession of vegetation in the Tarim River Basin, Xinjiang, China[C]. 见:2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Denver, CO, United states. 2006.

入库方式: OAI收割

来源:新疆生态与地理研究所

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