Share Email Print
cover

Proceedings Paper

Determination of regional land surface parameters and components of surface radiation balance over heterogeneous landscape of South Ningxia by using satellite remote sensing data
Author(s): Jianmao Guo; Weisong Lu; Ronghua Liu; Baogui Bi; Guoping Zhang; Jianlin Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Determination the regional land surface parameters and components of surface radiation balance over heterogeneous landscape is very important and not an easy problem, in such researches, the utilization of satellite remote sensing is indispensable. In this study, a parameterization method based on Landsat-7 ETM+ data and 22 weather stations data is described for deriving the regional distributions of land surface parameters and components of surface radiation balance over the South Ningxia area. The distribution figs and straight-bar charts of the parameters and components are given out. Further more, the South Ningxia area is classified into five surface types, regional distributions are discussed according to each type. The main results indicate: All the regional distributions are characteristic by their terrain nature and the regional distributions are obvious and regular. The figures of the mountains and rivers are very clear, cause there is a great deal vegetation growing over the mountains and rivers edge. It is seen that the derived regional distributions of land surface parameters and components of surface radiation balance for the whole mesoscale area are in good accordance with the land surface status.

Paper Details

Date Published: 27 September 2006
PDF: 10 pages
Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981T (27 September 2006); doi: 10.1117/12.678162
Show Author Affiliations
Jianmao Guo, Nanjing Univ. of Information Science and Technology (China)
Weisong Lu, Nanjing Univ. of Information Science and Technology (China)
Ronghua Liu, Henan Institute of Meteorological Sciences (China)
Baogui Bi, National Meteorological Ctr. (China)
Guoping Zhang, National Meteorological Ctr. (China)
Jianlin Wang, National Meteorological Ctr. (China)


Published in SPIE Proceedings Vol. 6298:
Remote Sensing and Modeling of Ecosystems for Sustainability III
Wei Gao; Susan L. Ustin, Editor(s)

© SPIE. Terms of Use
Back to Top