
Proceedings Paper
Study on relationship of soil moisture and land cover: a case in Lijin County, Shandong ProvinceFormat | Member Price | Non-Member Price |
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Paper Abstract
In order to get the information of soil moisture change caused by human activities, the influence of the regional dynamic
change of land use on soil moisture level was analyzed in this paper. Firstly, the graphs of land use type in two phases
were worked out with remote sensing images (collected on 1987-05-07 and 2000-05-02, respectively). On the other hand,
the soil moisture in the two days was correspondingly achieved by using the NDVI-LST feature space. Comparing the
soil moisture change with the land use change, we can conclude that there was great correlation between changes in the
soil moisture and changes in land use. But as the factors which can affect the soil moisture are various, the situation in
some areas came up as inconsistent with the common sense which is worth to do some further studies. Besides, with the
transforming of saline-alkalized land in this region, not only the cultivated area was increased, but also the vegetation
degree of land coverage and the soil moisture level in most regions were enhanced, and moreover the ecological
environment was improved.
Paper Details
Date Published: 22 October 2007
PDF: 8 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 667918 (22 October 2007); doi: 10.1117/12.727766
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
PDF: 8 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 667918 (22 October 2007); doi: 10.1117/12.727766
Show Author Affiliations
Fuxing Zhang, Institute of Geographic Sciences and Natural Resources Research (China)
Graduate School, Chinese Academy of Sciences (China)
Zhiqiang Gao, Institute of Geographic Sciences and Natural Resources Research (China)
Graduate School, Chinese Academy of Sciences (China)
Zhiqiang Gao, Institute of Geographic Sciences and Natural Resources Research (China)
Lijun Zuo, Graduate School, Chinese Academy of Sciences (China)
Institute of Remote Sensing Applications (China)
Institute of Remote Sensing Applications (China)
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
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