留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Progress of Earth Observation in China

GUO Huadong LIANG Dong LIU Guang

GUO Huadong, LIANG Dong, LIU Guang. Progress of Earth Observation in China[J]. 空间科学学报, 2020, 40(5): 908-919. doi: 10.11728/cjss2020.05.908
引用本文: GUO Huadong, LIANG Dong, LIU Guang. Progress of Earth Observation in China[J]. 空间科学学报, 2020, 40(5): 908-919. doi: 10.11728/cjss2020.05.908
GUO Huadong, LIANG Dong, LIU Guang. Progress of Earth Observation in China[J]. Journal of Space Science, 2020, 40(5): 908-919. doi: 10.11728/cjss2020.05.908
Citation: GUO Huadong, LIANG Dong, LIU Guang. Progress of Earth Observation in China[J]. Journal of Space Science, 2020, 40(5): 908-919. doi: 10.11728/cjss2020.05.908

Progress of Earth Observation in China

doi: 10.11728/cjss2020.05.908
基金项目: 

Supported by the Chinese Academy of Sciences Strategic Priority Research Program of the Big Earth Data Science Engineering Program (XDA19090000, XDA19030000)

详细信息
    作者简介:

    LIANG Dong,E-mail:liangdong@radi.ac.cn

  • 中图分类号: P35

Progress of Earth Observation in China

Funds: 

Supported by the Chinese Academy of Sciences Strategic Priority Research Program of the Big Earth Data Science Engineering Program (XDA19090000, XDA19030000)

More Information
    Author Bio:

    LIANG Dong,E-mail:liangdong@radi.ac.cn

  • 摘要: China is expanding and sharing its capacity for Earth observation by developing sensors, platforms, and launch capabilities in tandem with growing lunar and deep space exploration. China is considering the Moon as a viable Earth observation platform to provide high-quality, planetary-scale data. The platform would produce consistent spatiotemporal data because of its long operational life and the geological stability of the Moon. China is also quickly improving its capabilities in processing and transforming Earth observation data into useful and practical information. Programs such as the Big Earth Data Science Engineering Program (CASEarth) provide opportunities to integrate data and develop "Big Earth Data" platforms to add value to data through analysis and integration. Such programs can offer products and services independently and in collaboration with international partners for data-driven decision support and policy development. With the rapid digital transformation of societies, and consequently increasing demand for big data and associated products, Digital Earth and the Digital Belt and Road Program (DBAR) allow Chinese experts to collaborate with international partners to integrate valuable Earth observation data in regional and global sustainable development.

     

  • [1] GUO H D, LIU Z, JIANG H, et al. Big Earth Data:a new challenge and opportunity for Digital Earth's development[J]. Int. J. Digit. Earth, 2017, 10(1):1-12
    [2] GUO H D. Big data drives the development of Earth science[J]. Big Earth Data, 2017, 1(1/2):1-3
    [3] GUO H D, LIU G, DING Y X. Moon-based Earth observation:scientific concept and potential applications[J]. Int. J. Digit. Earth, 2018, 11(6):546-557
    [4] CHEN L, JIA J, WANG H Q. An overview of applying high resolution remote sensing to natural resources survey[J]. Remote Sens. Land Resources, 2019, 31(1):1-7
    [5] YE H L, GUO H D, LIU G, et al. Observation scope and spatial coverage analysis for earth observation from a Moon-based platform[J]. Int. J. Remote Sens., 2017:1-25
    [6] GUO H D, REN Y Z, LIU G, et al. The angular characteristics of Moon-based Earth observations[J]. Int. J. Digit. Earth, 2020, 13(3):339-354
    [7] YE H L, GUO H D, LIU G, et al. Impacts of platform's position errors on geolocation for a Moon-based sensor[J]. IEEE Geos. Remote Sens. Lett., 2020, 17(1):112-116
    [8] ZHANG L, GUO H D, JIAO H, et al. A polar coordinate system based on a projection surface for Moon-based Earth observation images[J]. Adv. Space Res., 2019, 64(11):2209-2220
    [9] XU Zhen, CHEN Kunshan. Effects of the Earth's curvature and lunar revolution on the imaging performance of the Moon-based synthetic aperture radar[J]. IEEE Trans. Geosci. Remote Sen., 2019, 57(8):5868-5882
    [10] NIE Chenwei, LIAO Jingjuan, SHEN Guozhuang, DUAN Wentao. Simulation of the land surface temperature from Moon-based Earth observations[J]. Adv. Space Res., 2019, 63(2):826-839
    [11] GUO H D, FU W X, LIU G. Scientific Satellite and Moon-based Earth Observation for Global Change[M]. Singapore:Springer, 2019
    [12] GUO H D, WANG L Z, LIANG D. Big Earth data from space:a new engine for Earth science[J]. Sci. Bull., 2016, 61(7):505-513
    [13] GUO H D. Scientific big data:a footstone of national strategy for big data[J]. Bull. Chin. Acad. Sci., 2018, 33(8):768-773
    [14] GUO H D, GOODCHILD M F, ANNONI A. Manual of Digital Earth[M]. Singapore:Springer, 2020
    [15] GUO H D. Steps to the digital silk road[J]. Nature, 2018, 554(7690):25-27
    [16] GUO H D. Big Earth Data in Support of the Sustainable Development Goals[M]. Beijing:Science Press and EDP Sciences, 2019
    [17] YANG S Q. Development and prospect of disaster remote sensing monitoring system[J]. City Disaster Reduction, 2018, 6:12-19
    [18] SHEN Xuhui, ZHANG Xueming, CUI Jing, et al. Remote sensing application in earthquake science research and geophysical fields exploration satellite mission in China[J]. J. Remote Sens., 2018, 22(S1):5-20
    [19] LI Qiang. Study on Key Technology of Earthquake Emergency using Multi-Mode Remote Sensing Data[D]. Harbin:Institute of Engineering Mechanics, China Earthquake Administration, 2018
    [20] WANG Zhiyi, XU Suning, WANG Na, et al. Application of the high resolution optical and SAR remote sensing data images induced by the Jiuzhaigou M7.0 earthquake geological hazards survey[J]. Chin. J. Geolog. Hazard Control, 2018, 29(5):81-88
    [21] DONG Xiujun, XU Qiang, SHE Jinxing, et al. Preliminary study on the interpretation of geological hazards in jiuzhaigou based on multi-source remote sensing data[J]. Geomat. Inf. Sci.Wuhan Univ., 2020, 45(3):432-441
    [22] DING Jia. Chinese Academy of Sciences launches remote sensing dynamic monitoring for the tenth anniversary of the Wenchuan earthquake[OL] [2018-04-17]. Beijing:China Science Daily, 2018. http://www.cas.cn/cm/201804/t20180417_4642260.shtml
    [23] LIU Ming, JIA Dan. Application of satellite remote sensing technology in forest fire fighting[J]. City Disaster Reduction, 2018, 6:66-70
    [24] YANG D, LIU Y, CAI Z, et al. First global carbon dioxide maps produced from TanSat measurements[J]. Adv. Atmos. Sci., 2018, 35(6):621-623
    [25] LI X, XIAO J. A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data[J]. Remote Sens., 2019, 11(5):517
    [26] LONG T, ZHANG Z, HE G, et al. 30 m resolution global annual burned area mapping based on landsat images and Google Earth engine[J]. Remote Sens., 2019, 11(5). arXiv:1805.02579
    [27] ZHANG Shuang, WU Jian, WEN xuanfan, et al. Review of aerosol optical depth retrieval using visibility data[J]. Earth Sci. Rev., 2020, 200:102986
    [28] XU Y, LIU J, XIE L, et al. China-France Oceanography Satellite (CFOSAT) simultaneously observes the typhoon-induced wind and wave fields[J]. Acta Ocean. Sin., 2019, 38(11):158-161
    [29] LIU Q H, WU J J, LI L, et al. Ecological environment monitoring for sustainable development goals in the Belt and Road region[J]. J. Remote Sens., 2018, 22(4):686-708
    [30] WU Wenjin, SUN Xiaohui, EPSTEIN H, et al. Spatial heterogeneity of climate variation and vegetation response for Arctic and high-elevation regions from 2001-2018[J]. Environ. Res. Commun., 2020, 2(1). DOI: 10.1088/2515-7620/ab6369
    [31] LIANG D, GUO H D, ZHANG L, et al. Analyzing Antarctic ice sheet snowmelt with dynamic Big Earth Data[J]. Int. J. Digit. Earth, 2020. DOI: 10.1080/17538947.2020.1798522
    [32] GUO H D. A project on Big Earth data science engineering[J]. Bull. Chin. Acad. Sci., 2018, 33(8):818-824
    [33] GUO H D, NATIVI Stefano, LIANG D, et al. Big Earth data science:an information framework for a sustainable planet[J]. Int. J. Digit. Earth, 2020, 13:7, 743-767
  • 加载中
计量
  • 文章访问数:  378
  • HTML全文浏览量:  2
  • PDF下载量:  175
  • 被引次数: 0
出版历程
  • 收稿日期:  2020-03-16
  • 刊出日期:  2020-09-15

目录

    /

    返回文章
    返回