
Proceedings Paper
Spatial assessment of the change of mountain range farmland use based on RS and GISFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Assessment of the change of farmland use is of great important. After comparing the different ways of the assessment of
farmland use change, a spatial assessment of the change of mountain range farmland use based on RS and GIS
technology was presented. Such spatial assessment way has the virtue of quantified and visual characters. It use the land
change information fast gained ability of RS, the formidable spatial data processing and the analysis ability which GIS
provides, and integrating the statistical analysis software package. After the analysis to the primary factors reflects the
farmland use, a spatiotemporal change model of had been put forward to assess the farmland use change. A
comprehensive factor for sustainable development model (CISD) is made to reflect the region development situation.
Finally, based on the mountain range farmland use change spatial assessment method mentioned above, the change of
mountain range farmland use of Shaoguan city in Guangdong province (China)was studied, and a good effect was
obtained. Such application proves the validity and feasibility of the spatial assessment method of the change of mountain
range farmland use mentioned in this paper.
Paper Details
Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714511 (3 November 2008); doi: 10.1117/12.813015
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714511 (3 November 2008); doi: 10.1117/12.813015
Show Author Affiliations
Liang Xie, Guangzhou Institute of Geography (China)
Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
KaiWen Zhong, Guangzhou Institute of Geography (China)
Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
KaiWen Zhong, Guangzhou Institute of Geography (China)
Cai-ge Sun, Guangzhou Institute of Geography (China)
Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Guangzhou Institute of Geochemistry (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
© SPIE. Terms of Use
