Spatial assessment of the change of mountain range farmland use based on RS and GIS

Liang Xie; KaiWen Zhong; Cai-ge Sun

doi:10.1117/12.813015

3 November 2008 Spatial assessment of the change of mountain range farmland use based on RS and GIS

Liang Xie, KaiWen Zhong, Cai-ge Sun

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 714511 (2008) https://doi.org/10.1117/12.813015
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Liang Xie, KaiWen Zhong, and Cai-ge Sun "Spatial assessment of the change of mountain range farmland use based on RS and GIS", 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); https://doi.org/10.1117/12.813015

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KEYWORDS

Remote sensing

Geographic information systems

Statistical analysis

Data modeling

Soil contamination

Factor analysis

Composites

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