基于矢量数据的LUCC广义转移矩阵自动挖掘方法
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摘要
为了充分利用日益增多的多时态土地利用/覆被矢量数据,依据不同属性全方位挖掘提取其中隐含的要素变化转移信息,进而为土地资源科学管理与统筹规划提供技术支持和决策依据,首先提出了广义转移矩阵的概念,并进行了形式化定义,然后设计了一种基于矢量数据的广义转移矩阵自动计算生成方法,详细阐述了数据预处理、匹配关系建立、要素变化检测、矩阵设置与生成4个实施步骤中涉及的主要问题及解决策略。试验结果表明:所提方法能够大幅提高转移矩阵矢量化计算生成的准确度和灵活性,有效克服人工手动处理计算效率低、周期长、易出错、难检查的不足,以及常用栅格化计算方法精度低、结果单一、不能准确全面反映土地利用/覆盖要素在不同属性上的变化转移情况的局限。
In order to take full advantage of expanding land use/cover vector data, quickly mine the underlying information of features changes, and further provide the technical support and decision-making basis for the scientific management and overall planning of land resource, an accurate approach and efficient tool to compute and generate land use/cover change transfer matrix from multiple attribu-tes or aspects of features are proposed in this paper. Firstly, the formal definition of general transfer matrix(GTM) is given and its basic characteristics and information implications are summarized. Se-condly, the main problems and the corresponding solutions during its computation and generation process are discussed, whose four steps, namely data pre-processing, feature matching, change detection and matrix production are also explained in detail. Finally, the visible software tool developed by the integrated secondary development is described briefly. It is concluded that the proposed approach and the related tool can greatly enhance the accuracy and flexibility of GTM vectorized computation and generation, and effectively overcome the shortcomings of manual processing such as low efficiency, long cycle, error-prone and difficult to check, as well as the limilations of the commonly used grid computing methods such as low accuracy, single results and inaccurate and comprehensive reflection of the change and transfer of land use/cover elements in different attributes.
In order to take full advantage of expanding land use/cover vector data, quickly mine the underlying information of features changes, and further provide the technical support and decision-making basis for the scientific management and overall planning of land resource, an accurate approach and efficient tool to compute and generate land use/cover change transfer matrix from multiple attribu-tes or aspects of features are proposed in this paper. Firstly, the formal definition of general transfer matrix(GTM) is given and its basic characteristics and information implications are summarized. Se-condly, the main problems and the corresponding solutions during its computation and generation process are discussed, whose four steps, namely data pre-processing, feature matching, change detection and matrix production are also explained in detail. Finally, the visible software tool developed by the integrated secondary development is described briefly. It is concluded that the proposed approach and the related tool can greatly enhance the accuracy and flexibility of GTM vectorized computation and generation, and effectively overcome the shortcomings of manual processing such as low efficiency, long cycle, error-prone and difficult to check, as well as the limilations of the commonly used grid computing methods such as low accuracy, single results and inaccurate and comprehensive reflection of the change and transfer of land use/cover elements in different attributes.
引文
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[7] Li Liang,Shu Ning,Gong Yan.Remote Sensing Image Change Detection and Change Type Recognition Based on Spatiotemporal Relationship[J].Geomatics and Information Science of Wuhan University,2013,38(5):952-955,977(李亮,舒宁,龚龑.考虑时空关系的遥感影像变化检测和变化类型识别[J].武汉大学学报·信息科学版,2013,38(5):952-955,977)
[8] Qiao Weifeng,Sheng Yehua,Fang Bin,et al.Land Use Change Information Mining in Highly Urbani-zed Area Based on Transfer Matrix:A Case Study of Suzhou,Jiangsu Province[J].Geographical Research,2013,32(8):1 497-1 507(乔伟峰,盛业华,方斌,等.基于转移矩阵的高度城市化区域土地利用演变信息挖掘——以江苏省苏州市为例[J].地理研究,2013,32(8):1 497-1 507)
[9] Zhang Yi,Li Yufeng,Gao Hong,et al.Eco-service Functions Based on Land Transfer Matrix:A Case Study of Xianlin,a New Urban Area in Nanjing[J].Journal of Ecology and Rural Environment,2014,30(6):800-805(张祎,李玉凤,高鸿,等.基于土地转移矩阵的生态服务功能研究——以南京市仙林新市区为例[J].生态与农村环境学报,2014,30(6):800-805)
[10] Ye Qinghua,Liu Gaohuan,Yao Yiming,et al.Tupu Analysis of Land Use Changes in the New-born Wetland of the Yellow River Delta[J].Progress in Geography,2003,22(2):141-148,219-221(叶庆华,刘高焕,姚一鸣,等.黄河三角洲新生湿地土地利用变化图谱[J].地理科学进展,2003,22(2):141-148
[11] Sun Linjun,Gai Aihong.Measuring of the Intensity of Regional Ecological Risk Index Based on RS and Transfer Matrix-Taking Xifeng District,Qingyang City as an Example[J].Chinese Agricultural Science Bulletin,2014,30(17):186-189(孙林军,盖艾鸿.基于RS和转移矩阵的区域生态风险强度指数测算——以庆阳市西峰区为例[J].中国农学通报,2014,30(17):186-189)
[12] Liu Shenghe,He Shujin.A Spatial Analysis Model for Measuring the Rate of Land Use Change [J].Journal of Natural Resources,2002,17(5):533-540(刘盛和,何书金.土地利用动态变化的空间分析测算模型[J].自然资源学报,2002,17(5):533-540)
[13] Wang Yuhong,Zhang Hebing,Guo Zengchang.Consistency Handling Approach on Multi- temporal Land Use Status Data with Various Differences[J].China Land Sciences,2014,28(12):79-85(王育红,张合兵,郭增长.多时态不同差异的土地利用现状数据一致化处理方法[J].中国土地科学,2014,28(12):79-85)
[14] Hao Yanling,Tang Wenjing,Zhao Yuxin,et al.Areal Feature Matching Algorithm Based on Spatial Similarity[J].Acta Geodaetica et Cartographica Sinica,2008,37(4):501-506(郝燕玲,唐文静,赵玉新,等.基于空间相似性的面实体匹配算法研究[J].测绘学报,2008,37(4):501-506)
[15] Xu Feng,Deng Min,Zhao Binbin,et al.A Detailed Investigation on the Methods of Object Matching[J].Journal of Geo-Information Science,2009,11(5):657-663(徐枫,邓敏,赵彬彬,等.空间目标匹配方法的应用分析[J].地球信息科学学报,2009,11(5):657-663)
[16] Ying Shen,Li Lin,Liu Wanzeng,et al.Change-only Updating Based on Object Matching in Version Databases[J].Geomatics and Information Science of Wuhan University,2009,34(6):752-755(应申,李霖,刘万增,等.版本数据库中基于目标匹配的变化信息提取与数据更新[J].武汉大学学报·信息科学版,2009,34(6):752-755)
[17] Zheng Yuzhi,Zhang Qingnian.An Approach to Identical Areal Entity Matching Based on Topology and Spatial Similarity[J].Joural of Geomatics Science and Technology,2013,30(5):510-514(郑宇志,张青年.基于拓扑及空间相似性的面实体匹配方法研究[J].测绘科学与技术学报,2013,30(5):510-514)
[2] Li Xiubin.A Review on the International Researchs on Land Use/Land Cover Chang[J].Actc Geographica Sinica,1996,51(6):553-558(李秀彬.全球环境变化研究的核心领域——土地利用/土地覆被变化的国际研究动向[J].地理学报,1996,51(6):553-558)
[3] Lu Yunge,Cai Yunlong,Xu Yueqing.Towards Land Change Sciences-The Progress of LUCC[J].Chinese Land Science,2006,20(1):55-61(路云阁,蔡运龙,许月卿.走向土地变化科学——土地利用/覆被变化研究的新进展[J].中国土地科学,2006,20(1):55-61)
[4] Gao Jiangbo,Cai Yunlong.Paradigm Shift in the Study of Land Use/Cover Change[J].China Population,Resources and Environmet,2011,21(10):114-120(高江波,蔡运龙.土地利用/土地覆被变化研究范式的转变[J].中国人口、资源与环境,2011,21(10):114-120)
[5] Hao Jingfeng,Liu Hongyu,Li Yufeng,et al.Spatio-temporal Variation and Driving Forces of the Coastal Wetland Resources Based on the Transition Matrix in Jiangsu Province[J].Journal of Natural Resources,2010,25(11):1 918-1 929(郝敬锋,刘红玉,李玉凤,等.基于转移矩阵模型的江苏海滨湿地资源时空演变及驱动机制分析[J].自然资源学报,2010,25(11):1 918-1 929)
[6] Li Xue,Shu Ning,Wang Yan,et al.Change Detection Based on Land-use Status Transition Analysis[J].Geomatics and Information Science of Wuhan University,2011,36(8):532-537(李雪,舒宁,王琰,等.利用土地利用状态转移分析的变化检测[J].武汉大学学报·信息科学版,2011,36(8):532-537)
[7] Li Liang,Shu Ning,Gong Yan.Remote Sensing Image Change Detection and Change Type Recognition Based on Spatiotemporal Relationship[J].Geomatics and Information Science of Wuhan University,2013,38(5):952-955,977(李亮,舒宁,龚龑.考虑时空关系的遥感影像变化检测和变化类型识别[J].武汉大学学报·信息科学版,2013,38(5):952-955,977)
[8] Qiao Weifeng,Sheng Yehua,Fang Bin,et al.Land Use Change Information Mining in Highly Urbani-zed Area Based on Transfer Matrix:A Case Study of Suzhou,Jiangsu Province[J].Geographical Research,2013,32(8):1 497-1 507(乔伟峰,盛业华,方斌,等.基于转移矩阵的高度城市化区域土地利用演变信息挖掘——以江苏省苏州市为例[J].地理研究,2013,32(8):1 497-1 507)
[9] Zhang Yi,Li Yufeng,Gao Hong,et al.Eco-service Functions Based on Land Transfer Matrix:A Case Study of Xianlin,a New Urban Area in Nanjing[J].Journal of Ecology and Rural Environment,2014,30(6):800-805(张祎,李玉凤,高鸿,等.基于土地转移矩阵的生态服务功能研究——以南京市仙林新市区为例[J].生态与农村环境学报,2014,30(6):800-805)
[10] Ye Qinghua,Liu Gaohuan,Yao Yiming,et al.Tupu Analysis of Land Use Changes in the New-born Wetland of the Yellow River Delta[J].Progress in Geography,2003,22(2):141-148,219-221(叶庆华,刘高焕,姚一鸣,等.黄河三角洲新生湿地土地利用变化图谱[J].地理科学进展,2003,22(2):141-148
[11] Sun Linjun,Gai Aihong.Measuring of the Intensity of Regional Ecological Risk Index Based on RS and Transfer Matrix-Taking Xifeng District,Qingyang City as an Example[J].Chinese Agricultural Science Bulletin,2014,30(17):186-189(孙林军,盖艾鸿.基于RS和转移矩阵的区域生态风险强度指数测算——以庆阳市西峰区为例[J].中国农学通报,2014,30(17):186-189)
[12] Liu Shenghe,He Shujin.A Spatial Analysis Model for Measuring the Rate of Land Use Change [J].Journal of Natural Resources,2002,17(5):533-540(刘盛和,何书金.土地利用动态变化的空间分析测算模型[J].自然资源学报,2002,17(5):533-540)
[13] Wang Yuhong,Zhang Hebing,Guo Zengchang.Consistency Handling Approach on Multi- temporal Land Use Status Data with Various Differences[J].China Land Sciences,2014,28(12):79-85(王育红,张合兵,郭增长.多时态不同差异的土地利用现状数据一致化处理方法[J].中国土地科学,2014,28(12):79-85)
[14] Hao Yanling,Tang Wenjing,Zhao Yuxin,et al.Areal Feature Matching Algorithm Based on Spatial Similarity[J].Acta Geodaetica et Cartographica Sinica,2008,37(4):501-506(郝燕玲,唐文静,赵玉新,等.基于空间相似性的面实体匹配算法研究[J].测绘学报,2008,37(4):501-506)
[15] Xu Feng,Deng Min,Zhao Binbin,et al.A Detailed Investigation on the Methods of Object Matching[J].Journal of Geo-Information Science,2009,11(5):657-663(徐枫,邓敏,赵彬彬,等.空间目标匹配方法的应用分析[J].地球信息科学学报,2009,11(5):657-663)
[16] Ying Shen,Li Lin,Liu Wanzeng,et al.Change-only Updating Based on Object Matching in Version Databases[J].Geomatics and Information Science of Wuhan University,2009,34(6):752-755(应申,李霖,刘万增,等.版本数据库中基于目标匹配的变化信息提取与数据更新[J].武汉大学学报·信息科学版,2009,34(6):752-755)
[17] Zheng Yuzhi,Zhang Qingnian.An Approach to Identical Areal Entity Matching Based on Topology and Spatial Similarity[J].Joural of Geomatics Science and Technology,2013,30(5):510-514(郑宇志,张青年.基于拓扑及空间相似性的面实体匹配方法研究[J].测绘科学与技术学报,2013,30(5):510-514)