Paper
3 November 2008 Arable land spatial pattern analysis along the middle-lower of Dongjiang River, China
Zhiqiang Lv, Ya Wen, Zhifeng Wu, Hongshun Chen, Jinghua Zhang, Lan Cheng
Author Affiliations +
Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71450X (2008) https://doi.org/10.1117/12.813011
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Regional land use change has been and will continue to be one of the hugest human impacts on the environment. Understanding the spatial configuration of urban areas will be important for quantifying dynamic change of land use. Arable land plays an important role in agricultural and economic development of China especially in Guangdong province. It is not only the basic material of crop production, but also the foundation and guarantee for implementing crop security. Based on the analysis of present situation of arable land, a land management policy for dynamic equilibrium of total arable land can be implemented. In order to understand the landscape pattern and the gradient characteristic of arable land along the middle-lower of Dongjiang River, we quantify the arable pattern with the combination of gradient analysis and landscape metrics. It is found that: (1) paddy land is the dominating land use type, the pattern of paddy land has strong effect on the whole landscape pattern, (2) The same metric value about different arable land use type has the obvious difference (3) Through out the gradient analysis, the metric chart of the arable land pattern has the inflexion near the borderline of the cities.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiqiang Lv, Ya Wen, Zhifeng Wu, Hongshun Chen, Jinghua Zhang, and Lan Cheng "Arable land spatial pattern analysis along the middle-lower of Dongjiang River, China", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71450X (3 November 2008); https://doi.org/10.1117/12.813011
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KEYWORDS
Agriculture

Multispectral imaging

Geographic information systems

Earth observing sensors

Landsat

Environmental monitoring

Fractal analysis

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