论地理国情普查和监测的创新

李德仁, 马军, 邵振峰

李德仁, 马军, 邵振峰. 论地理国情普查和监测的创新[J]. 武汉大学学报 ( 信息科学版), 2018, 43(1): 1-9. DOI: 10.13203/j.whugis20170356
引用本文: 李德仁, 马军, 邵振峰. 论地理国情普查和监测的创新[J]. 武汉大学学报 ( 信息科学版), 2018, 43(1): 1-9. DOI: 10.13203/j.whugis20170356
LI Deren, MA Jun, SHAO Zhenfeng. Innovation in the Census and Monitoring of Geographical National Conditions[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 1-9. DOI: 10.13203/j.whugis20170356
Citation: LI Deren, MA Jun, SHAO Zhenfeng. Innovation in the Census and Monitoring of Geographical National Conditions[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 1-9. DOI: 10.13203/j.whugis20170356

论地理国情普查和监测的创新

基金项目: 

国家重点研发计划战略性国际科技创新合作重点专项 2016YFE0202300

国家高分专项 02-Y30B19-9001-15/17

广州市科技计划 201604020070

武汉市晨光计划人才项目 2016070204010114

湖北省重点研发计划 2016AAA018

国家自然科学基金 51508422

国家自然科学基金 41401513

详细信息
    作者简介:

    李德仁, 教授, 中国科学院院士, 中国工程院院士, 国际欧亚科学院院士, 现从事以遥感、全球卫星定位系统和地理信息系统为代表的空间信息科学与技术的科研与教学工作, 并推进地理国情监测、数字城市与数字中国、智慧城市与智慧中国的研究及相关建设。drli@whu.edu.cn

    通讯作者:

    邵振峰, 博士, 教授。shaozhenfeng@whu.edu.cn

  • 中图分类号: P208

Innovation in the Census and Monitoring of Geographical National Conditions

Funds: 

The National Key R & D Plan on Strategic International Scientific and Technological Innovation Cooperation Special Project 2016YFE0202300

the National Project of High Resolution Earth Observation System 02-Y30B19-9001-15/17

the Guangzhou Science and Technology Project 201604020070

the Wuhan Chen Guang Project 2016070204010114

the Special Task of Technical Innovation in Hubei Province 2016AAA018

the Natural Science Foundation of China 51508422

the Natural Science Foundation of China 41401513

More Information
    Author Bio:

    LI Deren, professor, Academician of Chinese Academy of Sciences, Academician of Chinese Academy of Engineering, Academician of Euro-Asia International Academy of Sciences. He is concentrated on the research and education in spatial information science and technology represented by RS, GPS and GIS, and promote the construction of geographic national conditions monitoring, digital city, digital China, smart city and smart China. E-mail: drli@whu.edu.cn

    Corresponding author:

    SHAO Zhenfeng, PhD, professor. E-mail:shaozhenfeng@whu.edu.cn

  • 摘要: 地理国情普查和监测是国情研究的重要组成部分,包括自然地理国情、人文地理国情、经济地理国情的普查和监测等内容。总结中国第一次中国地理国情普查和重点专题国情监测的成果,提出了地理国情普查和监测新需求,并重点探讨了地理国情的内容创新、技术创新和成果表达创新。建议在国情内容中增加地面沉降和形变、地表透水性、人文和社会经济信息;在技术创新方面,提出自然地理国情监测要充分利用基础测绘成果,通过行业共享和转换获得人文地理和社会经济地理国情,通过众源数据验证各类地理国情的现势性,基于对地观测传感网开展地理国情更新。在地理国情的成果表达方面,提出地理国情的分类需要上升到本体、矢量和栅格数据模型可用于一体化表达国情数据、地理国情普查的统计成果和监测模型要面向用户需求发布通用指数。对地理国情的服务提出展望。
    Abstract: The census and monitoring of geographical national conditions is an important part of the research concerning national conditions, including economic and human conditions. This paper summarizes the achievement of the first national geographic census and monitoring results pertaining to special topics in geographical national conditions. The innovations on contents, technologies and expression of outcomes are discussed. The authors asrgue that ground subsidence and deformation, impervious surfaces, the humanities and social economic information should be added as new conditions to be monitored. In terms of technological innovation, basic surveying and mapping products must be fully exploited and data on economic and human geographical conditions acquired by sharing and data conversion from different Industries, verified through crowd sourced data processing, and updated based on the earth observation sensors network. The Ontology, integration model in vector and raster could be used to express the geographic conditions, and simple index on National Geographic National Census and statistical results and monitoring data could be released according to the user-oriented demands.
  • 图  1   11个国家级新区基础年份面积和2015年面积及扩展速率图

    Figure  1.   Area of Base Year, 2015 and Expansion Rate Diagram of 11 National Level New Districts in China

    图  2   北京市累积地面沉降量的时空演化过程

    Figure  2.   Temporal and Spatial Evolution Process of Accumulated Land Subsidence in Beijing City

    图  3   中国城市内涝次数和最大积水时间统计

    Figure  3.   Statistical Results of Water Logging Times and Maximum Ponding Time in Cities, China

    图  4   基于资源三号卫星遥感影像提取的武汉市不透水面分布图

    Figure  4.   Impervious Surface Distribution of Wuhan Based on ZY-3 Satellite Remote Sensing Images

    图  5   武汉市白天人口空间分布专题图

    Figure  5.   Spatial Distribution of Daytime Population in Wuhan City

    图  6   武汉市夜间人口空间分布专题图

    Figure  6.   Spatial Distribution of Nighttime Population in Wuhan City

    图  7   基于众源数据的洪涝市情发布

    Figure  7.   Publish of Flood Situation Based on Crowd-Sourced Data

    图  8   地理国情普查和监测中的共享本体示例

    Figure  8.   Examples of Shared Ontology in Census and Monitoring of Geographical National Conditions

    图  9   基于行政区划和多级网格统计的天津市武清区森林覆盖率分布情况

    Figure  9.   Forest Coverage Statistics Based on Vector Administrative Division and Multi-grids in Wuqing, Tianjin City

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出版历程
  • 收稿日期:  2017-11-08
  • 发布日期:  2018-01-04

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