Zoning farmland protection under spatial constraints by integrating remote sensing, GIS and artificial immune systems

Zoning farmland protection under spatial constraints by integrating remote sensing, GIS and artificial immune systems
复制标题

整合遥感、GIS和人工免疫系统,在空间约束下分区耕地保护

DOI:
10.1080/13658816.2011.557380
复制
发表时间:
2011-01-01
影响因子:
5.7
通讯作者:
Chen, Yimin
Chen, Yimin
中科院分区:
地球科学2区
文献类型:
--
作者:
Liu, Xiaoping;Li, Xia;Chen, Yimin

文献摘要

被引文献

相似文献

目前,随着城市面积的快速扩张,中国的农用地非农转化率不断提高。耕地分区保护是保护有限土地资源的一项重要措施。本文提出了一种基于遥感、地理信息系统和人工免疫系统(AIS)相结合的农田保护区生成方法。对传统的人工智能系统做了一些修改,使之可以进一步扩展到解决分区问题。最优目标是产生最小发展潜力、最大限度地提高农业适宜性和空间紧凑性的农田保护区。首先,将解决耕地保护标准的效用函数引入到AIS算法中。其次,对抗体的编码和变异进行了改进,使其适用于空间优化问题的求解。基于人工智能的区划模型被应用于广东省广州市的案例研究,中国说。实验证明,该方法是一种高效、有效的空间优化技术,仅需194秒即可生成满意的耕地保护格局。此外,基于AIS的区划模型可以方便地探索各种备选方案,在土地资源利用效率和农田立地条件方面都比非保护方案具有更好的表现。
Currently, with rapid expanding of urban area, the rate of conversion of agricultural land to nonagricultural uses in China is increasing. Zoning farmland protection is an important measure to protect limited land resource. This article presented an innovative approach based on the integrated use of remote sensing, GIS, and artificial immune systems (AIS) for generating farmland protection areas. Some modifications have been made for conventional AIS so that it can be further extended to the solution of zoning problems. The optimal objective is to generate farmland protection areas that minimize development potential and maximize agricultural suitability and spatial compactness. First, utility function by addressing the criteria of farmland protection is incorporated into AIS algorithm. Second, encoding and mutation of antibodies is modified so that it can be suited to the solution of spatial optimization problems. The AIS-based zoning model was then applied to a case study in Guangzhou, Guangdong, China. The experiments have demonstrated that the proposed method was an efficient and effective spatial optimization technique, which took only about 194 seconds to generate satisfied farmland protection patterns. Furthermore, the AIS-based zoning model can explore various alternatives conveniently, and it can yield better performances than nonprotection scenario in the utility efficiency of land resources and the site condition for farmland.