Paper
27 September 2006 Determination of regional land surface parameters and components of surface radiation balance over heterogeneous landscape of South Ningxia by using satellite remote sensing data
Jianmao Guo, Weisong Lu, Ronghua Liu, Baogui Bi, Guoping Zhang, Jianlin Wang
Author Affiliations +
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.
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Jianmao Guo, Weisong Lu, Ronghua Liu, Baogui Bi, Guoping Zhang, and Jianlin Wang "Determination of regional land surface parameters and components of surface radiation balance over heterogeneous landscape of South Ningxia by using satellite remote sensing data", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981T (27 September 2006); https://doi.org/10.1117/12.678162
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KEYWORDS
Reflectivity

Vegetation

Shortwaves

Remote sensing

Satellites

Climatology

Earth observing sensors

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