Assimilation of sparse crown by using GO and GORT model with remotely sensed data in the Tarim River Basin, Xinjiang, China
文献类型：会议论文
| 作者 | Jiapaer ; Guli1 ; 2 ; Chen ; Xi1 ; Kempeneers ; Pieter3 ; Chang ; Cun1 ; Ma ; Zhongguo2 |
| 出版日期 | 2007 |
| 会议名称 | Proceedings of SPIE - The International Society for Optical Engineering,Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII |
| 会议日期 | 2007 |
| 会议地点 | Wuhan, China |
| 关键词 | Ground objects - Spectrum information |
| 中文摘要 | The sparse crown along both riversides of the Tarim River plays an important role in firming the sand and restraining the desertification. It is very difficult to obtain the spectrum information from the remotely sensed data because of the low percentage of coverage of the sparse vegetation, which affects the classification accuracy of the identification of ground objects and the extraction of vegetation biophysics. It is a key obstruction in developing the quantification of the RS technology. Taking the sparse vegetation at the Tarim River Basin as the research object, this paper predicts the surface bidirectional reflectance of the discontinuous plant canopies in the extremely arid based on the observed ground spectrum. Two different approaches are presented for the tree and the shrub. The first is to simulate the spectrum of the tree with the Geometric Optical-Radiative Transfer model based on ground observation. In the second approach,the spectral responses of sparse shrub and bare soil have been simulated using the linear Geometric Optical (GO) model. Comparing the simulated bidirectional reflectance with actual remote sensing data (EO-1), the spectral differences of these data are analyzed. (9 refs.) |
| 收录类别 | EI |
| 会议录 | MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
 |
| ISSN号 | 0277-786X |
| ISBN号 | 13: 9780819469076 |
| 源URL | [http://ir.xjlas.org/handle/365004/10758]  |
| 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 | Jiapaer,Guli1,2,et al. Assimilation of sparse crown by using GO and GORT model with remotely sensed data in the Tarim River Basin, Xinjiang, China[C]. 见:Proceedings of SPIE - The International Society for Optical Engineering,Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII. Wuhan, China. 2007. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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