珠三角快速城镇化地区国土调查典型试点探索与实证——面向第三次全国国土调查
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摘要
选择东莞市4个镇(街)作为珠三角典型高度城镇化地区和第三次全国国土调查试点,针对试点内容设置、试点典型性选择、试点方法、成果和质量控制等全过程进行了总体策划和设计。从调查底图层面提出了数据源精选类别,形成了3套数据组合配置思路。从调查技术层面阐述了内业分析判读、外业调查核实和内业录入整理的3个关键方法实施路径。通过试点:形成了丰富的专题报告、专题报表、专题图和专题库等实验成果,以土地利用现状调查为例分析了各试点区历经快速城镇化后的土地利用差异性和空间格局特征,提出了在涉密基础数据使用、不一致图斑举证、细碎图斑处理、地类认定标准、多源数据空间不套合和标识码核心关联等7个问题环节的具体先验经验和未来需要深入探索提升的方向。试点成果可作为试点区土地精细化管理之用,试点经验可供快速城镇化地区参考之用。
Four towns in Dongguan city in the Pearl River Delta were chosen as a typical urbanization region and as pilot sites for the third national land survey. The overall planning and design involved pilot contents, typical choice, pilot approaches, study route, quality control, etc. Data source category selection was proposed according to the quality of referable base maps for land surveys, and three data combination models were used for comparative experiments. From the perspective of investigative technology, the implementation approach consisted of three key stages: indoor operation for map interpretation or data analysis; field operation for investigation and verification;and final indoor operation for database construction. In this study, pilot exploration and practice utilized special reports, statistical tables, maps, and databases, yielding rich research findings. Taking the land use survey as an example, the differences and spatial pattern characteristics of each pilot area that has experienced rapid urbanization were analyzed. Meanwhile, seven key technical issues were discovered: the use of confidential basic data, proof of inconsistent map spots, processing of tiny map spot, identification standard of land class, spatial mismatch of multisource data, database structure, and core association of identification code. The advanced and highly efficient implementation measures were studied to provide a series of pilot experiences. The pilot results provide an important basis for meticulous land management during a new period for the four pilot areas. Additionally, prior knowledge and reference samples were provided for the third national land survey in Dongguan or for other highly urbanized areas.
Four towns in Dongguan city in the Pearl River Delta were chosen as a typical urbanization region and as pilot sites for the third national land survey. The overall planning and design involved pilot contents, typical choice, pilot approaches, study route, quality control, etc. Data source category selection was proposed according to the quality of referable base maps for land surveys, and three data combination models were used for comparative experiments. From the perspective of investigative technology, the implementation approach consisted of three key stages: indoor operation for map interpretation or data analysis; field operation for investigation and verification;and final indoor operation for database construction. In this study, pilot exploration and practice utilized special reports, statistical tables, maps, and databases, yielding rich research findings. Taking the land use survey as an example, the differences and spatial pattern characteristics of each pilot area that has experienced rapid urbanization were analyzed. Meanwhile, seven key technical issues were discovered: the use of confidential basic data, proof of inconsistent map spots, processing of tiny map spot, identification standard of land class, spatial mismatch of multisource data, database structure, and core association of identification code. The advanced and highly efficient implementation measures were studied to provide a series of pilot experiences. The pilot results provide an important basis for meticulous land management during a new period for the four pilot areas. Additionally, prior knowledge and reference samples were provided for the third national land survey in Dongguan or for other highly urbanized areas.
引文
蔡建楠,何甜辉,黄明智.2018.高分一、二号卫星遥感数据在生态环境监测中的应用.环境监控与预警,10(6):12-18.[Cai Jiannan,He Tianhui and Huang Mingzhi.2018.The Application of GF-1 and GF-2Satellite Remote Sensing Data to Ecological Environment Monitoring.Environmental Monitoring and Forewarning,10(6):12-18.]
陈洪博.1992.土地科学词典.南京:江苏科学技术出版社.[Chen Hongbo.1992.Dictionary of Land Scientific.Nanjing:Jiangsu Science and Technology Press.]
邓光林.2014.土地变更调查监测图斑核查管理信息系统设计.地理空间信息,12(3):131-132.[Deng Guanglin.2014.Design of Monitoring Spot Inspection Management Information System for Land Change Survey.Geospatial Information,12(3):131-132.]
丁莉东.2010.“3S”测绘技术在现代土地科学中的应用.广东农业科学,37(10):188-190.[Ding Lidong.2010.Application of“3S”Technology of Surveying and Mapping in Modern Land Scientific.Guangdong Agricultural Sciences,37(10):188-190.]
东莞市统计局,国家统计局东莞调查队.2017.东莞统计年鉴.北京:中国统计出版社.[Dongguan Statistics Bureau and NBS Investigation Team in Dongguan.2017.Dongguan Statistical Yearbook.Beijing:China Statistical Publishing House.]
杜金龙,朱记伟,解建仓,马增辉.2018.基于GIS的城市土地利用研究进展.国土资源遥感,30(3):9-17.[Du Jinlong,Zhu Jiwei,Xie Jiancang and Ma Zhenghui.2018.An Overview of Urban Land Use Research Based on GIS.Remote Sensing for Land and Resources,30(3):9-17.]
黄滢冰,赵克飞,徐启恒,陈浩.2017a.基于遥感监测的建设用地自动提取模型应用.地理空间信息,15(6):78-80,95.[Huang Yingbing,Zhao Kefei,Xu Qiheng and Chen Hao.2017a.Application to Extract Urban Construction Land Automatically Based on Remote Sensing.Geospatial Information,15(6):78-80,95.]
黄滢冰,南卓铜,徐启恒,赵克飞.2017b.珠三角典型地区耕地流失特征及机制分析--以1988年~2013年快速城市化的东莞市为例.世界地理研究,26(5):44-55.[Huang Yingbing,Nan Zhuotuo,Xu Qiheng and Zhao Kefei.2017b.Characteristics and Driving Forces of the Arable Land Loss in Dongguan.World Regional Studies,26(5):44-55.]
李德仁,眭海刚,单杰.2012.论地理国情监测的技术支撑.武汉大学学报(信息科学版),37(5):505-512,502.[Lin Deren,Sui Haigang and Shan Jie.2012.Discussion on Key Technologies of Geographic National Conditions Monitoring.Geomatics and Information Science of Wuhan University,37(5):505-512,502.]
刘欣.2018.实施自然资源资产管理改革的探讨与对策.中国国土资源经济,31(5):13-22,29.[Liu Xin.2018.Discussion and Countermeasures of Natural Resource Asset Management Reform.Chinese Land and Resources Economics,31(5):13-22,29.]
随欣欣,眭素文,刘锟.2018.面向遥感业务应用的解译成果数据管理系统研究和构建.国土资源遥感,30(3):238-243.[Sui Xinxin,Sui Suwen and Liu Kun.2018.Research and Construction of Interpretation Result Data Management System Toward Remote Sensing Application.Remote Sensing for Land and Resources,30(3):238-243.]
吴颖斌,吴勇,徐启恒.2018.土地调查新技术试点:内外业一体化举证模式研究.地矿测绘,34(2):17-19,43.[Wu Yingbin,Wu Yong and Xu Qiheng.2018.Explore on New Ideas of Land Survey Pilot:the Thinking and Research of Integrated Evidence for Field and Indoor Work.Surveying and Mapping of Geology and Mineral Resources,34(2):17-19,43.]
徐启恒,黄滢冰.2018.珠三角典型地区城市扩张测度及驱动机制分析.测绘科学,43(1):45-53.[Xu Qiheng and Huang Yingbing.2018.Intensity and Driving Factors of Urban Expansion in the Pearl River Delta.Science of Surveying and Mapping,43(1):45-53.]
张维宸.2018.组建“自然资源部”的来龙去脉.国土资源,(3):16-21.[Zhang Weichen.2018.Context of establishing Ministry of Natural Resources.Land&Resources,(3):16-21.]
赵玉灵.2018.粤港澳大湾区自然资源遥感调查与保护建议.国土资源遥感,30(4):139-147.[Zhao Yuling.2018.Remote Sensing Survey and Proposal for Protection of the Natural Resources in GuangdongHong Kong-Macao Greater Bay Area.Remote Sensing for Land and Resources,30(4):139-147.]
赵展,夏旺,闫利.2018.基于多源数据的土地利用变化检测.国土资源遥感,30(4):148-155.[Zhao Zhan,Xia Wang and Yan Li.2018.Land Use Change Detection Based on Multi-source Data.Remote Sensing for Land and Resources,30(4):148-155.]
陈洪博.1992.土地科学词典.南京:江苏科学技术出版社.[Chen Hongbo.1992.Dictionary of Land Scientific.Nanjing:Jiangsu Science and Technology Press.]
邓光林.2014.土地变更调查监测图斑核查管理信息系统设计.地理空间信息,12(3):131-132.[Deng Guanglin.2014.Design of Monitoring Spot Inspection Management Information System for Land Change Survey.Geospatial Information,12(3):131-132.]
丁莉东.2010.“3S”测绘技术在现代土地科学中的应用.广东农业科学,37(10):188-190.[Ding Lidong.2010.Application of“3S”Technology of Surveying and Mapping in Modern Land Scientific.Guangdong Agricultural Sciences,37(10):188-190.]
东莞市统计局,国家统计局东莞调查队.2017.东莞统计年鉴.北京:中国统计出版社.[Dongguan Statistics Bureau and NBS Investigation Team in Dongguan.2017.Dongguan Statistical Yearbook.Beijing:China Statistical Publishing House.]
杜金龙,朱记伟,解建仓,马增辉.2018.基于GIS的城市土地利用研究进展.国土资源遥感,30(3):9-17.[Du Jinlong,Zhu Jiwei,Xie Jiancang and Ma Zhenghui.2018.An Overview of Urban Land Use Research Based on GIS.Remote Sensing for Land and Resources,30(3):9-17.]
黄滢冰,赵克飞,徐启恒,陈浩.2017a.基于遥感监测的建设用地自动提取模型应用.地理空间信息,15(6):78-80,95.[Huang Yingbing,Zhao Kefei,Xu Qiheng and Chen Hao.2017a.Application to Extract Urban Construction Land Automatically Based on Remote Sensing.Geospatial Information,15(6):78-80,95.]
黄滢冰,南卓铜,徐启恒,赵克飞.2017b.珠三角典型地区耕地流失特征及机制分析--以1988年~2013年快速城市化的东莞市为例.世界地理研究,26(5):44-55.[Huang Yingbing,Nan Zhuotuo,Xu Qiheng and Zhao Kefei.2017b.Characteristics and Driving Forces of the Arable Land Loss in Dongguan.World Regional Studies,26(5):44-55.]
李德仁,眭海刚,单杰.2012.论地理国情监测的技术支撑.武汉大学学报(信息科学版),37(5):505-512,502.[Lin Deren,Sui Haigang and Shan Jie.2012.Discussion on Key Technologies of Geographic National Conditions Monitoring.Geomatics and Information Science of Wuhan University,37(5):505-512,502.]
刘欣.2018.实施自然资源资产管理改革的探讨与对策.中国国土资源经济,31(5):13-22,29.[Liu Xin.2018.Discussion and Countermeasures of Natural Resource Asset Management Reform.Chinese Land and Resources Economics,31(5):13-22,29.]
随欣欣,眭素文,刘锟.2018.面向遥感业务应用的解译成果数据管理系统研究和构建.国土资源遥感,30(3):238-243.[Sui Xinxin,Sui Suwen and Liu Kun.2018.Research and Construction of Interpretation Result Data Management System Toward Remote Sensing Application.Remote Sensing for Land and Resources,30(3):238-243.]
吴颖斌,吴勇,徐启恒.2018.土地调查新技术试点:内外业一体化举证模式研究.地矿测绘,34(2):17-19,43.[Wu Yingbin,Wu Yong and Xu Qiheng.2018.Explore on New Ideas of Land Survey Pilot:the Thinking and Research of Integrated Evidence for Field and Indoor Work.Surveying and Mapping of Geology and Mineral Resources,34(2):17-19,43.]
徐启恒,黄滢冰.2018.珠三角典型地区城市扩张测度及驱动机制分析.测绘科学,43(1):45-53.[Xu Qiheng and Huang Yingbing.2018.Intensity and Driving Factors of Urban Expansion in the Pearl River Delta.Science of Surveying and Mapping,43(1):45-53.]
张维宸.2018.组建“自然资源部”的来龙去脉.国土资源,(3):16-21.[Zhang Weichen.2018.Context of establishing Ministry of Natural Resources.Land&Resources,(3):16-21.]
赵玉灵.2018.粤港澳大湾区自然资源遥感调查与保护建议.国土资源遥感,30(4):139-147.[Zhao Yuling.2018.Remote Sensing Survey and Proposal for Protection of the Natural Resources in GuangdongHong Kong-Macao Greater Bay Area.Remote Sensing for Land and Resources,30(4):139-147.]
赵展,夏旺,闫利.2018.基于多源数据的土地利用变化检测.国土资源遥感,30(4):148-155.[Zhao Zhan,Xia Wang and Yan Li.2018.Land Use Change Detection Based on Multi-source Data.Remote Sensing for Land and Resources,30(4):148-155.]