Xi'an Center, China Geological SurveyHost
Advanced Search
Previous Article Next Article
2022 Vol. 55, No. 2
Article Contents
Article navigation > Northwestern Geology > 2022 > 55(2): 56-70
Next Article Previous Article

LI Zhizhong, WEI Zheng, CHEN Xiaoyan, WANG Jianhua, LIU Tuo, SUN Pingping, HAN Haihui, LI Wenming, ZHAO Jun, JIA Jun. 2022. New Earth Observation Technology and Earth Health Examination. Northwestern Geology, 55(2): 56-70. doi: 10.19751/j.cnki.61-1149/p.2022.02.004
Citation: LI Zhizhong, WEI Zheng, CHEN Xiaoyan, WANG Jianhua, LIU Tuo, SUN Pingping, HAN Haihui, LI Wenming, ZHAO Jun, JIA Jun. 2022. New Earth Observation Technology and Earth Health Examination. Northwestern Geology, 55(2): 56-70. doi: 10.19751/j.cnki.61-1149/p.2022.02.004
shu

New Earth Observation Technology and Earth Health Examination

  • 1. Xi'an Center of China Geological Survey, CGS, Xi'an 710054, Shaanxi, China;

  • 2. China Association of Remote Sensing Application, Beijing 100094, China;

  • 3. Green Development Research Institute of Western China, CGS, Xi'an 710054, Shaanxi, China;

  • 4. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

More Information
Received Date:  12 September 2021
Revised Date:  05 January 2022
    Abstract
  • Earth observation (remote sensing satellite) system is an important part of space infrastructure. Due to its advantages of comprehensive, dynamic, fast and large-scale data acquisition, it can be used as the core technology for dynamic monitoring and assessment of the global resource environment. Increasing global human activity has led to a gradual decline in the health of the planet's ecosystem, which in turn has had a negative impact on our own health. Based on the actual needs of effective earth health index information acquisition, earth health diagnosis and earth health status evaluation, this paper puts forward the key directions for the development of earth observation technology. Focusing on the scientific connotation of earth health monitoring and the goal of geohealth, we first systematically review the progress of new remote sensing earth observation technologies at home and abroad, and propose the main contents, technical processes and key technologies of the earth health examination. Then, the method of using new earth observation technology to support the construction of earth health spectrum monitoring network platform is summarized. Taking the middle and upper reaches of the Yellow River and the key belt of black soil as examples, the regional demonstration of earth health examination is carried out in terms of land health and geological disaster monitoring. Finally, the future development of technology is prospected.
    • FullText(HTML)
  • 加载中
    • References
  • 曹春香. 环境健康遥感诊断[M]. 北京:科学出版社, 2013.

    Google Scholar

    CAO Chunxiang. Diagnois of Environmental Health by Remote Sensing[M]. Beijing:Science Press, 2013.

    Google Scholar

    陈玲, 贾佳, 王海庆. 高分遥感在自然资源调查中的应用综述[J]. 国土资源遥感, 2019, 31(1):1-7.

    Google Scholar

    CHEN Ling, JIA Jia, WANG Haiqing. An overview of applying high resolution remote sensing to natural resources survey[J]. Remote Sensing for Land and Resources, 2019, 31(1):1-7.

    Google Scholar

    戴慧敏, 刘凯, 宋运红, 等. 东北地区黑土退化地球化学指示与退化强度[J].地质与资源, 2020, 29(6):510-517.

    Google Scholar

    DAI Huimin, LIU Kai, SONG Yunhong, et al. Black Soil Degradation and Intensity in Northeast China:Geochemical Indication[J]. Geology and Resources, 2020, 29(6):510-517.

    Google Scholar

    方臣, 胡飞, 陈曦, 等. 自然资源遥感应用研究进展[J]. 资源环境与工程, 2019, 33(4):563-569.

    Google Scholar

    FANG Chen, HU Fei, CHEN Xi, et al. Advances in Application of Remote Sensing to Natural Resources[J]. Resources Environment & Engineering, 2019, 33(4):563-569.

    Google Scholar

    高吉喜, 赵少华, 侯鹏.中国生态环境遥感四十年[J].地球信息科学学报, 2020, 22(4):705-719.

    Google Scholar

    GAO Jixi, ZHAO Shaohua, HOU Peng. Advances of Remote Sensing on Ecology and Environment in China[J]. Journal of Geo-information Science, 2020, 22(4):705-719.

    Google Scholar

    韩威宏. 城市区域大气污染的遥感定量反演及源追踪研究[D]. 成都:电子科技大学, 2020.

    Google Scholar

    HAN Weihong. The Study of Source Tracking and Quantitative Remote Sensing of the Air Pollution in Urban Areas[D]. Chengdu:University of Electronic Science and Technology of China, 2020.

    Google Scholar

    李劲东. 卫星遥感技术基础[M]. 北京:北京理工大学出版社, 2018.

    Google Scholar

    LI Jindong. Satellite Remote Sensing Technology[M]. Beijing:Beijing Institute of Technology Press, 2018.

    Google Scholar

    李志忠, 汪大明, 王建华, 等."谱遥感"与地球体检计划[J].地球科学, 2021, 46(9):3352-3364.

    Google Scholar

    LI Zhizhong, WANG Daming, WANG Jianhua, et al. Application of Spectral Remote Sensing Technology in Inspection of the Earth[J]. Earth Science, 2021, 46(9):3352-3364.

    Google Scholar

    李志忠, 穆华一, 刘德长, 等."遥感先行"服务自然资源调查技术变革与调整[J]. 地质与资源, 2021, 30(2):153-160.

    Google Scholar

    LI Zhizhong, MU Huayi, LIU Dechang, et al. REMOTE SENSING FIRST:Service for the Technological Revolution and Innovation in Natural Resources Survey[J]. Geology and Resources, 2021, 30(2):153-160.

    Google Scholar

    李志忠, 孙萍萍, 陈霄燕, 等. 基于卫星遥感技术的绿色发展指标——以中国西部地区为例[J/OL].地球科学与环境学报:1-13[2022-01-07].

    Google Scholar

    LI Zhizhong, SUN Pingping, CHEN Xiaoyan, et al. Green Development Index Based on Satellite Remote Sensing Technology——A Case Study in the Western China[J/OL]. Journal of Earth Sciences and Environment:1-13[2022-01-07].

    Google Scholar

    李志忠, 洪增林, 刘拓, 等.土地与地质灾害遥感监测服务黄河中上游高质量发展[J]. 卫星应用, 2021(3):33+36-41.

    Google Scholar

    LI Zhizhong, HONG Zenglin, LIU Tuo, et al. Remote sensing monitoring of land and geological disasters serves high-quality development in the middle and upper reaches of the Yellow River[J]. Satellite Application, 2021(3):33+36-41.

    Google Scholar

    刘国栋, 杨泽, 戴慧敏, 等. 黑龙江省海伦市长发镇土地质量地球化学评价及开发建议[J]. 地质与资源, 2020, 29(6):533-542.

    Google Scholar

    LIU Guodong, YANG Ze, DAI Huimin, et al. Geochemical Evaluation of Land Quality and Development Suggestion of Land in Hailun City, Heilongjiang Province[J]. Geology and Resources, 2020, 29(6):533-542.

    Google Scholar

    刘军会, 高吉喜. 北方农牧交错带界线变迁区的土地利用与景观格局变化[J].农业工程学报, 2008, 24(11):76-82.

    Google Scholar

    LIU Junhui, GAO Jixi. Changes of land use and landscape pattern in the boundary change areas in farming-pastoral ecotone of Northern China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(11):76-82.

    Google Scholar

    刘文清, 陈臻懿, 刘建国, 等.大气污染光学遥感技术及发展趋势[J].中国环境监测, 2018, 34(2):1-9.

    Google Scholar

    LIU Wenqing, CHEN Zhenyi, LIU Jianguo, et al. Atmospheric Stereoscopic Monitoring Technology and Development Trend in China[J]. Environmental Monitoring in China, 2018, 34(2):1-9.

    Google Scholar

    刘银年.高光谱成像遥感载荷技术的现状与发展[J].遥感学报, 2021, 25(1):439-459.

    Google Scholar

    LIU Yinnian. Development of hyperspectral imaging remote sensing technology[J]. National Remote Sensing Bulletin, 2021, 25(1):439-459.

    Google Scholar

    刘彦君, 夏凯, 冯海林, 等. 基于无人机多光谱影像的小微水域水质要素反演[J]. 环境科学学报, 2019, 39(04):1241-1249.

    Google Scholar

    LIU Yanjun, XIA Kai, FENG Hailin, et al. Inversion of water quality elements in small and micro-size water region using multispectral image by UAV[J]. Acta Scientiae Circumstantiae, 2019, 39(04):1241-1249.

    Google Scholar

    马荣华, 唐军武, 段洪涛, 等.湖泊水色遥感研究进展[J].湖泊科学, 2009, 21(2):143-158.

    Google Scholar

    MA Ronghua, TANG Junwu, DUAN Hongtao, et al. Progress in lake water color remote sensing[J]. Journal of Lake Science, 2009, 21(2):143-158.

    Google Scholar

    孟凡春.高光谱图像处理技术的前沿技术和发展趋势[J].中国新通信, 2020, 1:1673-4866.

    Google Scholar

    MENG Fanchun. Advance Technology and Development Trend of Hyperspectral Image Processing Technology[J]. China New Teceommunications, 2020, 1:1673-4866.

    Google Scholar

    强建华.遥感技术在新疆南部地区矿山环境调查及生态修复中的应用[J].西北地质, 2021, 54(03):253-258.

    Google Scholar

    QIANG Jianhua. Application of Remote Sensing Techniques in Mine Environment Investigation and Ecological Restoration in Southern Xinjiang[J]. Northwestern Geology, 2021, 54(03):253-258.

    Google Scholar

    沈强. 治理全球气候变化须要运筹多方位国际合作战略[J]. 国际展望, 2010, 2:21-26+5-6.

    Google Scholar

    SHEN Qiang. Addressing Global Climate Change:the Need to Shape a Multidimensional Strategy for International Cooperation[J]. World Outlook, 2010, 2:21-26+5-6.

    Google Scholar

    沈焕锋, 李同文. 大气PM2.5遥感制图研究进展[J]. 测绘学报, 2019, 48(12):1624-1635.

    Google Scholar

    SHEN Huanfeng, LI Tongwen. Progress of remote sensing mapping of atmospheric PM2.5[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12):1624-1635.

    Google Scholar

    陶培峰, 王建华, 李志忠, 等. 基于高光谱的土壤养分含量反演模型研究[J]. 地质与资源, 2020, 29(1):68-75+84.

    Google Scholar

    TAO Peifeng, WANG Jianhua, LI Zhizhong, et al. Research of Soil Nutrient Content Inversion Model Based on Hyperspectral Data[J]. Geology and Resources, 2020, 29(1):68-75+84.

    Google Scholar

    王焰新. "同一健康"视角下医学地质学的创新发展[J]. 地球科学, 2020, 45(4):1093-1102.

    Google Scholar

    WANG Yanxin. Innovative Development of Medical Geology:A One Health Perspective[J]. Earth Science, 2020, 45(4):1093-1102.

    Google Scholar

    王建华, 陶培峰, 袁月, 等. PSR框架下的黑龙江省海伦市耕地质量评价[J]. 地质与资源, 2020, 29(6):525-532.

    Google Scholar

    WANG Jianhua, TAO Peifeng, YUAN Yue, et al. PSR-Based Evaluation of the Cultivated Land Quality in Hailun City of Heilongjiang Province[J]. Geology and Resources, 2020, 29(6):525-532.

    Google Scholar

    王建华, 李志忠, 戴慧敏, 等.卫星遥感在黑土地品质监测中的应用[J].卫星应用, 2021(6):33-36.

    Google Scholar

    WANG Jianhua, LI Zhizhong, DAI Huimin, et al. Application of Satellite Remote Sensing in Black Soil Quality Monitoring[J]. Satellite Application, 2021(6):33-36.

    Google Scholar

    王建华, 左玲, 李志忠, 等.基于高光谱技术的黑土地微量金属元素探测方法及地学意义[J]. 地质力学学报, 2021, 27(03):418-429.

    Google Scholar

    WANG Jianhua, ZUO Ling, LI Zhizhong, et al. A detection method of trace metal elements in black soil based on hyperspectral technology:Geological implications[J]. Journal of Geomechanics, 2021, 27(03):418-429.

    Google Scholar

    汪大明, 秦凯, 李志忠, 等. 基于航空高光谱遥感数据的黑土地有机质含量反演:以黑龙江省建三江地区为例[J].地球科学, 2018, 43(06):2184-2194.

    Google Scholar

    WANG Daming, QIN Kai, LI Zhizhong, et al. Retrieval of Organic Matter Content in Black Soil Based on Airborne Hyperspectral Remote Sensing Data:Taking Jiansanjiang District in Heilongjiang Province as an Example[J]. Earth Science, 2018, 43(06):2184-2194.

    Google Scholar

    卫征. 空间信息产业边界和层次分析[J].卫星应用, 2020, 4:12-17.

    Google Scholar

    WEI Zheng. Boundary and Level Analysis of Spatial Information Industry[J]. Satellite Application, 2020, 4:12-17.

    Google Scholar

    吴传庆.湖泊富营养化高光谱遥感监测机理:光谱实验研究[D].北京:北京师范大学, 2008.

    Google Scholar

    WU Chuanqing. Hyperspectral Remote Sensing Monitoring Mechanism of Lake Eutrophication:Spectral Experimental Study[D]. Beijing:Beijing Normal University, 2008.

    Google Scholar

    徐涵秋. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 2013, 33(5):889-897.

    Google Scholar

    XU Hanqiu. A remote sensing index for assessment of regional ecological changes[J]. China Environmental Science, 2013, 33(5):889-897.

    Google Scholar

    许强.对地质灾害隐患早期识别相关问题的认识与思考[J]. 武汉大学学报(信息科学版), 2020, 45(11):1651-1659.

    Google Scholar

    XU Qiang. Understanding and Consideration of Related Issues in Early Identification of Potential Geohazards[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11):1651-1659.

    Google Scholar

    许强, 董秀军, 李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报(信息科学版), 2019, 44(7):957-966.

    Google Scholar

    XU Qiang, DONG Xiujun, LI Weile. Integrated Space-Air-Ground Early Detection, Monitoring and Warning System for Potential Catastrophic Geohazards[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7):957-966.

    Google Scholar

    曾希柏. 土地健康-从理论到实践[M].北京:科学出版社, 2021.

    Google Scholar

    ZENG Xibai. Land Health-From Theory to Practice[M]. Beijing:Science Press, 2021

    Google Scholar

    张兵. 当代遥感科技发展的现状与未来展望[J]. 中国科学院院刊, 2017, 32(7):774-784.

    Google Scholar

    ZHANG Bing. Current Status and Future Prospects of Remote Sensing[J]. Bulletin of Chinese Academy of Sciences, 2017, 32(7):774-784.

    Google Scholar

    张兵. 高光谱图像处理与信息提取前沿[J]. 遥感学报, 2016, 20(5):1062-1090.

    Google Scholar

    ZHANG Bing. Advancement of hyperspectral image processing and information extraction[J]. Journal of Remote Sensing, 2016, 20(5):1062-1090.

    Google Scholar

    赵文波, 李帅, 李博, 等.新一代体系效能型对地观测体系发展战略研究[J].中国工程科学, 2021, 23(6):128-138.

    Google Scholar

    ZHAO Wenbo, LI Shuai, LI Bo, et al. Development Strategy of the New-Generation Effectiveness-Oriented Earth-Observation System[J]. Strategic Study of CAE, 2021, 23(6):128-138.

    Google Scholar

    赵英时. 遥感应用分析原理与方法[M]. 北京:科学出版社, 2003.

    Google Scholar

    ZHAO Yingshi. Principle and Method of Remote Sensing Application Analysis[M]. Beijing:Science Press, 2003.

    Google Scholar

    朱明, 李加明, 许泉立, 等. 1949-1999年中国国土调查科学技术发展研究[J].昆明理工大学学报(自然科学版), 2019, 44(4):40-47.

    Google Scholar

    ZHU Ming, LI Jiaming, XU Quanli, et al. A Research on the Development of Science and Technology in China's Land Survey from 1949 to 1999[J]. Journal of Kunming University of Science and Technology (Natural Science), 2019, 44(4):40-47.

    Google Scholar

    朱利, 王桥, 吴传庆, 等. 巢湖水华遥感监测与年度统计分析研究[J].中国环境监测, 2013, 29(2):162-166.

    Google Scholar

    ZHU Li, WANG Qiao, WU Chuanqing, et al. Monitoring and Annual Statistical Analysis of Algal Blooms in Chaohu Based on Remote Sensing[J]. Environmental Monitoring in China, 2013, 29(2):162-166.

    Google Scholar

    祝令亚. 湖泊水质遥感监测与评价方法研究[D]. 北京:中国科学院大学, 2006.

    Google Scholar

    ZHU Lingya. Remote Sensing Monitoring and Assessment of Water Quality for Lakes[D]. Beijing:Chinese Academy of Sciences, 2006.

    Google Scholar

    朱少龙, 张晋玉, 晁毛妮, 等.农业遥感技术研究进展[J].种业导刊, 2019, 8:3-9.

    Google Scholar

    ZHU Shaolong, ZHANG Jinyu, CHAO Maoni, et al. Research Progress and Prospect of Agricultural Remote Sensing Technology[J]. Journal of Seed Industry Guide, 2019, 8:3-9.

    Google Scholar

    Gómez-Calvet R, Conesa D, Gomez-Calvet A R, et al. On the dynamics of eco-efficiency performance in the European Union[J]. Computers & Operations Research, 2015, 66:336-350.

    Google Scholar

    Goetz A F H. Three decades of hyperspectral remote sensing of the Earth:A personal view[J]. Remote Sensing of Environment, 2009, 113:S5-S16.

    Google Scholar

    IPCC. Special report on global warming of 1.5℃[M]. UK:Cambridge University Press, 2018.

    Google Scholar

    Irakulis-Loitxate I, Guanter L, Liu Y N, et al. Satellite-based survey of extreme methane emissions in the Permian basin[J].Science Advances, 2021, 7(27):eabf4507.

    Google Scholar

    Liu Y N, Zhang J, Y Zhang, et al. The Advanced Hyperspectral Imager:Aboard China's GaoFen-5 Satellite[J]. IEEE Geoscience and Remote Sensing Magazine, 2019, 7(4):23-32.

    Google Scholar

    Mercedes B, Andres J. Assessing environmental performance in the European Union:Eco-innovation versus catching-up[J]. Energy Policy, 2017, 104(5):240-252.

    Google Scholar

    UNFCCC (United Nations Framework Convention on Climate Change). The Paris Agreement[EB/OL].[2020-03-29]. https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreeme nt.

    Google Scholar

    Wursthorn S, Poganietz W R, Schebek L. Economic environmental monitoring indicators for European countries:A disaggregated sector-based approach for monitoring eco-efficiency[J]. Ecological Economics, 2011, 70(3):487-496.

    Google Scholar

    Zheng Q, Huang W J, Cui X M, et al. New spectral index for detecting wheat yellow rust using sentinel-2 multispectral imagery[J]. Sensors, 2018, 18(3):868.

    Google Scholar

    • Relative Articles
  • Cited by
  • Supplements
    • Proportional views
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Export Citation
PDF
XML

Article Metrics

Article views(1084) PDF downloads(59) Cited by(0)

Access History

Other Articles By Authors

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    版权所有：中国地质调查局发展研究中心 copyright @2020