Please wait a minute...
img img
高级检索
地球科学进展  2015, Vol. 30 Issue (7): 751-762    DOI: 10.11867/j.issn.1001-8166.2015.07.0751
综述与评述     
遥感的科学推动作用与重点应用领域
吴炳方, 邢强
中国科学院遥感与数字地球研究所,中国科学院数字地球重点实验室,北京100101
Remote Sensing Roles on Driving Science and Major Applications
Wu Bingfang, Xing Qiang
Key laboratory of Digital Earth Sciences, Chinese Academy of Sciences Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing100101, China
 全文: PDF(1165 KB)  
摘要:

在调研国内外遥感案例的基础上,论述了遥感在推动地球系统科学发展方面的作用,及在我国的重点应用领域。遥感催生了全球变化研究,使得人类得以从新的视角来探索地球上的生命未来;遥感推动了地球科学从定性到定量、从描述到分析、从单站点到多时空尺度的变革,诸多新兴交叉学科应运而生。遥感是应用驱动的, 一致性及可对比性是定量遥感的核心,也是遥感深化应用的基础。遥感应用于众多领域,但不同的国家基于各自的国情有不同的侧重点,其中,维护国家全球利益、灾害快速响应与灾后评估、第三方独立监督、保障国防安全是我国的应用重点。

关键词: 遥感地球科学国防安全全球变化全球利益    
Abstract:

This paper aims at discussing the roles of remote sensing on driving the development of Earth System Science and the major application domains based on domestic and foreign remote sensing cases. Remote sensing has led to the development of the research on global change, making human beings being capable of exploring the future of the life on earth with a new perspective. Remote sensing has also driven the transformation of Earth Science from qualitative analysis to quantitative development, from description to further analysis, from single site to regional application with multiple temporal and spatial scales. As a result, it leads to the appearance of many emerging cross-disciplines. Remote sensing is an application-driven subject, with numerous application fields after many years of development. However, different countries in the world have different priorities, which are dependent on their own national conditions. For China, safeguarding national global interests, rapid response to disasters and assessment after disasters, independent supervision from the third party and safeguarding national defense security are the major applications. Remote Sensing data consistency is of crucial importance in order to allow for time series comparison analysis and anomaly detection, which is recognized as the core of quantitative remote sensing and also the basis for driving remote sensing applications to a deeper level continually.

Key words: Global change    Defense security.    Earth science    Remote sensing    Global interests
收稿日期: 2015-02-02 出版日期: 2015-07-20
:  P23  
基金资助:

国家自然科学基金面上项目“空气动力学粗糙度多源数据协同反演模型研究”(编号: 41271424); 国家自然科学基金黑河流域生态—水文过程集成研究重大研究计划“干旱区陆表蒸散遥感估算的参数化方法研究”(编号:91025007)资助

作者简介: 吴炳方(1962-),男,江西玉县人,研究员,主要从事农业、水资源和生态遥感研究. E-mail:wubf@radi.ac.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
邢强
吴炳方

引用本文:

吴炳方, 邢强. 遥感的科学推动作用与重点应用领域[J]. 地球科学进展, 2015, 30(7): 751-762.

Wu Bingfang, Xing Qiang. Remote Sensing Roles on Driving Science and Major Applications. Advances in Earth Science, 2015, 30(7): 751-762.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2015.07.0751        http://www.adearth.ac.cn/CN/Y2015/V30/I7/751

[1] Leese J A. Remote sensing applications in the meteorology and operational hydrology programmes of WMO[J]. Advances in Space Research, 1987, 7(3): 49-57.
[2] Chen Shupeng, Zeng Shan. Earth system science and Geo-informatics[J]. Geographical Research, 1996, 15(2): 1-11. [陈述彭,曾杉. 地球系统科学与地球信息科学[J]. 地理研究,1996,15(2):1-11.]
[3] Chen Shupeng, Shao Yubin. Global change and Geo-information System[J]. Acta Geographica Sinca, 1996, 51(Suppl.): 15-25. [陈述彭,邵宇宾. 全球变化研究与地理信息系统[J]. 地理学报,1996,51(增刊):15-25.]
[4] Gan Zhaoping. Remote sensing technology creates Digital Earth—An interview with Tong Qingxi, Academician of Chinese Academy of Sciences[J]. Science Technology Innovations and Brands, 2013, 8: 10-13. [甘招萍. 遥感技术造就数字地球——访中国科学院院士童庆禧[J]. 科技创新与品牌,2013,8:10-13.]
[5] Feng Yun, Gao Feng, Sun Chengquan. Application of remote sensing technology in studies of global change[J]. Remote Sensing Technology and Application, 2001, 16(4): 237-241. [冯筠,高峰,孙成权. 遥感技术在全球变化研究中的应用[J]. 遥感技术与应用,2001,16(4):237-241.]
[6] Wang Changyao, Bu Heaosier, Di Xiaochun. Application of remote sensing to global environment change research in China[J]. Advances in Earth Science,1998, 13(3): 278-284. [王长耀,布和敖斯尔,狄小春. 遥感技术在全球环境变化研究中的作用[J]. 地球科学进展,1998,13(3):278-284.]
[7] Hicke J A, Asner G P, Randerson J T, et al. Satellite-derived increases in net primary productivity across North America[J]. Geophysical Research Letters, 2002, 29: 1 982-1 998.
[8] Murphy R J, Underwood A J, Tolhurst T J, et al. Field-based remote sensing for experimental intertidal ecology: Case studies using hyperspatial and hyperspectral data for New South Wales (Australia)[J]. Remote Sensing of Environment, 2008, 112: 3 353-3 365.
[9] Harris A, Bryant R G. A multi-scale remote sensing approach for monitoring northern peat land hydrology: Present possibilities and future challenges[J]. Journal of Environmental Management, 2009, 90: 2 178-2 188.
[10] White M A, de Beurs K, Didan K, et al. Intercomparison, interpretation and assessment of spring phenology in North America estimated from remote sensing for 1982 to 2006[J]. Global Change Biology, 2009, 15: 2 335-2 359.
[11] Wu Bingfang, Meng Jihua, Li Qiangzi, et al. Latest development of “CropWatch”—An global crop monitoring system with remote sensing[J]. Advances in Earth Science, 2010, 25(10): 1 013-1 022. [吴炳方,蒙继华,李强子,等. “全球农情遥感速报系统(CropWatch)”新进展[J]. 地球科学进展,2010,25(10):1 013-1 022.]
[12] Wu Bingfang, Lu Shanlong. Watershed remote sensing: Methodology and a paradigm in Hai Basin[J]. Journal of Remote Sensing, 2011, 15(2): 201-223. [吴炳方,卢善龙. 流域遥感方法与实践[J]. 遥感学报,2011,15(2):201-223.]
[13] Tan Qulin, Hu Jiping. The use of imaging radars for ecological applications[J]. Remote Sensing Technology and Application, 2005, 20(3): 375-380. [谭衢霖,胡吉平. 成像雷达遥感的生态学应用[J]. 遥感技术与应用,2005,20(3):375-380.]
[14] Yue Yuemin, Wang Kelin, Zhang Bing, et al. Applications of hyperspectral remote sensing in ecosystem: A review[J]. Remote Sensing Technology and Application, 2008, 23(4): 471-478. [岳跃民,王克林,张兵,等. 高光谱遥感在生态系统研究中的应用进展[J].遥感技术与应用,2008,23(4):471-478.]
[15] Lu Jingxuan. Review on 30 years’ achievement of remote sensing application in water resources[J]. Journal of China Institute of Water Resources and Hydropower Research, 2008, 6(3): 224-230. [路京选. 水利遥感应用技术研究进展回顾与展望[J]. 中国水利水电科学研究院学报,2008,6(3):224-230.]
[16] Li Jiren. Remote sensing applications in water conservancy field[J]. Satellite Application,2012, 1: 61-64.
. 卫星应用,2012,1:61-64.]
[17] Liang Hongyou, Gu Xingfa, Yu Tao. Analysis of the applications and demands of civil aeronautics remote sensing in coal industry of China[J]. Coal Science and Technology, 2007, 35(4): 104-107. [梁洪有,顾行发,余涛. 民用航天遥感在我国煤炭行业的应用与需求分析[J]. 煤炭科学技术,2007,35(4):104-107.]
[18] Sahoo A K, Pan M, Troy T J, et al. Reconciling the global terrestrial water budget using satellite remote sensing[J]. Remote Sensing of Environment, 2011, 115: 1 850-1 865.
[19] Brown M E, Beurs K M, Marshall M. Global phenological response to climate change in crop areas using satellite remote sensing of vegetation, humidity and temperature over 26 years[J]. Remote Sensing of Environment, 2012, 126: 174-183.
[20] Aurin D A, Dierssen H M. Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters[J]. Remote Sensing of Environment, 2012, 125: 181-197.
[21] Chen J, Cui T, Ishizaka J, et al. A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic and coastal waters: Exemplifying the applicability of the model to the coastal regions in Eastern China Seas[J]. Remote Sensing of Environment, 2014, 148: 168-177.
[22] Luft L, Neumann C, Freude M, et al. Hyperspectral modeling of ecological indicators—A new approach for monitoring former military training areas[J]. Ecological Indicators, 2014, 46: 264-285.
[23] Zhang Wanzeng. The current situation and development trend of the space-borne military remote sensing technology and equipment[J]. Aerospace China, 1992, 11: 20-22. [张万增. 航天军事遥感技术和设备的现状及发展趋势[J]. 中国航天,1992,11:20-22.]
[24] Chen Shengzhe, Chen Biao. Application of infrared technology in military[J]. Optical Technique, 2006, 32(Suppl.): 581-586. [陈胜哲,陈彪. 红外技术在军事上的应用[J]. 光学技术,2006,32(增刊):581-586.]
[25] Li Xin. The major research directions of American geospatial intelligence (GEOINT)[J]. Abstracts of Surveying and Mapping, 2008, 1: 1-5. [李欣. 美国地理空间情报(GEOINT)未来重点研究方向[J]. 测绘文摘,2008,1:1-5.]
[26] Sun Bijiao, Li Xin. A survey of the international cooperation of American National Geospatial-Intelligence Agency (NGA)[J]. Geomatics Technology and Equipment,2011, 13(4): 51-54. [孙碧娇,李欣. 美国国家地理空间情报局(NGA)国际合作概况及启示[J]. 测绘技术装备,2011,13(4):51-54.]
[27] John P H. National strategy for civil Earth observations[EB/OL]. Wahington DC: Executive Office of the President and National Science and Technology Council, 2013[2014-11-20]. http:∥www.docin.com/p-716248923.html.
[28] Donlon C, Berruti B, Buongiorno A, et al. The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission[J]. Remote Sensing of Environment, 2012, 120: 37-57.
[29] Drusch M, Bello U D, Carlier S, et al. Sentinel-2: ESA’s optical high-resolution mission for GMES operational services[J]. Remote Sensing of Environment, 2012, 120: 25-36.
[30] Giannopapa C. Securing Galileo’s and GMES’s place in European policy[J]. Space Policy, 2012, 28: 270-282.
[31] Torres R, Snoeij P, Geudtner D, et al. GMES Sentinel-1 mission[J].Remote Sensing of Environment, 2012, 120: 9-24.
[32] Li Deren, Tong Qingxi, Li Rongxing, et al. Current issues in high-resolution Earth observation technology[J]. Science in China (Series D), 2012, 42(6): 805-813. [李德仁,童庆禧,李荣兴,等. 高分辨率对地观测的若干前沿科学问题[J]. 中国科学:D辑,2012, 42(6):805-813.]
[33] Ge Bangjun, Qin Ying. High resolution earth observation system and its applications[J]. Satellite Application, 2012, 5: 24-28. [葛榜军,靳颖. 高分辨率对地观测系统及应用[J]. 卫星应用,2012,5:24-28.]
[34] Chen Yiyu. Future research trends of IGBP[J]. Advances in Earth Science, 2001, 16(1): 15-17. [陈宜瑜. IGBP未来发展方向[J]. 地球科学进展,2001,16(1):15-17.]
[35] Guo Huadong, Wang Lizhe, Chen Fang, et al. Scientific big data and digital Earth[J]. Chinese Science Bulletin, 2014, 59: 1 047-1 054. [郭华东,王力哲,陈方,等. 科学大数据与数字地球[J]. 科学通报,2014,59:1 047-1 054.]
[36] Chen Jun. The Speech on the Eighth Geographic Academic Forum for Graduate Students over Beijing District[EB/OL].
(2014-10-21) http:∥news.3news.net/2014/0429/29991.html. [陈军.第八届京区地理学研究生学术论坛演讲稿[EB/OL].(2014-10-21) http:∥news.3snews.net∥2014/0429/29991.html.]
[37] Wu Guoxiong, Lin Hai, Zou Xiaolei, et al. Research on global climate change and scientific data[J]. Advances in Earth Sciences, 2014, 29(1): 15-22. [吴国雄,林海,邹晓蕾,等. 全球气候变化研究与科学数据[J]. 地球科学进展,2014,29(1):15-22.]
[38] Tatem A J, Lewis H G, Atkinson P M, et al. Increasing the spatial resolution of agricultural land cover maps using a Hopefield neural network[J]. International Journal of Geographical Information Science, 2003, 17: 647-672.
[39] Townshend J R, Masek J G, Huang C Q, et al. Global characterization and monitoring of forest cover using Landsat data: Opportunities and challenges[J]. International Journal of Digital Earth, 2012, 5(5): 373-397.
[40] Gong P, Wang J, Yu L, et al. Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data[J]. International Journal of Remote Sensing, 2013, 34(7): 2 607-2 654.
[41] Wu Bingfang, Yuan Quanzhi, Yan Changzhen, et al. Land cover changes of China from 2000 to 2010[J]. Quaternary Sciences,2014, 34(4): 723-731. [吴炳方,苑全治,颜长珍,等. 21世纪前十年的中国土地覆盖变化[J]. 第四纪研究,2014,34(4):723-731.]
[42] Wu Bingfang, Zhang Lei, Yan Changzhen, et al. 2010 China land cover mapping based on HJ-1 satellite data and field Data[J]. Acta Ecologica Sinica, 2015,35(13),doi:10.5846/stxb201310122452"> doi:10.5846/stxb201310122452. [吴炳方,张磊,颜长珍,等. 2010年中国土地覆盖监测的方法与特色[J]. 生态学报,2015,35(13),doi:10.5846/stxb201310122452"> doi:10.5846/stxb201310122452.]
[43] Mu Q, Zhao M, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011, 115: 1 781-1 800.
[44] Giglio L, Schroeder W. A global feasibility assessment of the bi-spectral fire temperature and area retrieval using MODIS data[J]. Remote Sensing of Environment, 2014, 152: 166-173.
[45] Huffman G J, Adler R F, Bolvin D T, et al. The TRMM multi-satellite precipitation analysis: Quasi-global, multi-year, combined-sensor precipitation estimates at fine scale[J]. Journal of Hydrometeorology, 2007, 8: 38-55.
[46] Francisco J T, Turk F J, Walt P, et al. Global precipitation measurement: Methods, datasets and applications[J]. Atmospheric Research, 2012, 104/105: 70-97.
[47] Al-Yaari A, Wigneron J P, Ducharne A, et al. Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates[J]. Remote Sensing of Environment, 2014, 149: 181-195.
[48] Andreas C, Steven C, Seung-bum K, et al. Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development[J]. Remote Sensing of Environment, 2012, 121: 309-322.
[49] Al Bitar A, Leroux D, Kerr Y H, et al. Evaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50: 1 572-1 586.
[50] Working Group 1 Contribution to the IPCC Fifth Assessment Report (AR5). Climate Change 2013: The Physical Science Basis[R].Geneva: World Meteorological Organization, 2013.
[51] Jiang Dong, Wang Naibin, Rosema A. Chinese energy and water balance monitoring system based on remote sensing technique[J]. Remote Sensing Information, 2002, 2: 7-10. [江东,王乃斌,Rosema A. 中国能量与水平衡遥感监测系统[J]. 遥感信息,2002,2:7-10.]
[52] François-Marie B, Philippe C. Spaceborne remote sensing of greenhouse gas concentrations[J]. Comptes Rendus Geoscience, 2010, 342: 412-424.
[53] Guo Huadong, Fu Wenxue, Li Xinwu, et al. Research on global change scientific satellites[J]. Science in China (Series D), 2014, 57: 204-215. [郭华东,傅文学,李新武,等. 全球变化科学卫星概念研究[J]. 中国科学:D辑,2014,44:49-60.]
[54] Chen Hongping, Jia Gensuo, Feng Jinming, et al. Remote sensing estimates of key land surface vegetation variables used in climate model: A review[J]. Advances in Earth Science, 2014, 29(1): 56-67. [陈洪萍,贾根锁,冯锦明,等. 气候模式中关键陆面植被参量遥感估算的研究进展[J]. 地球科学进展,2014,29(1):56-67.]
[55] Gao Feng, Wang Jiemin, Sun Chengquan,et al. Advances in application of remote sensing technology to land surface processes research[J].Advances in Earth Science, 2001, 16(3): 359-366. [高峰,王介民,孙成权,等. 遥感技术在陆面过程研究中的应用进展[J]. 地球科学进展,2001,16(3):359-366.]
[56] Chen B Z, Chen J M, Ju W M. Remote sensing-based Ecosystem-Atmosphere Simulation Scheme (EASS)-Model formulation and test with multiple-year data[J]. Ecological Modelling, 2007, 209: 277-300.
[57] Fisher J B, Tu K, Baldocchi D D. Global estimates of the land atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at FLUXNET sites[J]. Remote Sensing of Environment, 2008, 112(3): 901-919.
[58] Komatsu H, Cho J, Matsumoto K, et al. Simple modeling of the global variation in annual forest evapotranspiration[J]. Journal of Hydrology, 2012, 420/421: 380-390.
[59] Yan N N, Wu B F. Integrated spatial-temporal analysis of crop water productivity of winter wheat in Hai Basin[J]. Agricultural Water Management, 2014, 133: 24-33.
[60] Zhu W W, Wu B F, Yan N N, et al. A method to estimate diurnal surface soil heat flux from MODIS data for a sparse vegetation and bare soil[J]. Journal of Hydrology, 2014, 511: 139-150.
[61] Wu B F, Xing Q, Yan N N, et al. A linear relationship between temporal multiband MODIS BRDF and aerodynamic roughness in HIWATER Wind Gradient data[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(3): 507-511.
[62] Yan H, Wang S Q, Billesbach D, et al. Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model[J]. Remote Sensing of Environment, 2012, 124: 581-595.
[63] Qin Dahe, Xiao Cunde, Ding Yongjian, et al. Progress on cryospheric studies by international and Chinese communities and perspectives[J]. Journal of Applied Meteorological Science, 2006, 17(6): 649-656. [秦大河,效存德,丁永建,等. 国际冰冻圈研究动态和我国冰冻圈研究的现状与展望[J]. 应用气象学报,2006,17(6):649-656.]
[64] Fang Zongyi, Xu Jianmin, Zhao Fengsheng. Progress and prospect of China meteorological satellite and satellite meteorology[J]. Acta Meteorologica Sinica, 2004, 62(5): 550-561. [方宗义,许健民,赵凤生. 中国气象卫星和卫星气象研究的回顾和发展[J]. 气象学报,2004,62(5):550-561.]
[65] Zhang Hongmei, Wu Bingfang, Yan Na’na. Remote sensing estimates of vapor pressure deficit: An overview[J]. Advances in Earth Science, 2014, 29(5): 559-568. [张红梅,吴炳方,闫娜娜. 饱和水汽压差的卫星遥感研究综述[J]. 地球科学进展,2014,29(5):559-568.]
[66] Zhang H M, Wu B F, Yan N N, et al. An improved satellite-based approach for estimating vapor pressure deficit from MODIS data[J]. Journal of Geophysical Research—Atmosphere, 2014, 119: 12 256-12 271.
[67] Zhang Huan, Wang Rui, Jia Xu, et al. HY-2 satellite and its application[J]. Space International, 2012, 9: 1-8. [张欢,王睿,贾旭,等. 海洋-2卫星及其应用[J]. 国际太空,2012,9:1-8.]
[68] Pan Delu, Wang Difeng. Advances in the science of marine optical remote sensing application in China[J]. Advances in Earth Science, 2004, 19(4): 506-512. [潘德炉,王迪峰. 我国海洋光学遥感应用科学研究的新进展[J]. 地球科学进展,2004,19(4):506-512.]
[69] Hirano A, Welch R, Lang H. Mapping from ASTER stereo image data: DEM validation and accuracy assessment[J]. Photogrammetry and Remote Sensing, 2003, 57: 356-370.
[70] Berry P A M, Garlick J D, Smith R G. Near-global validation of the SRTM DEM using satellite radar altimetry[J]. Remote Sensing of Environment, 2007, 106(1): 17-27.
[71] Bruce R, Andreas K, Jeffrey S K, et al. Remote sensing and GIS technology in the Global Land Ice Measurements from Space (GLIMS) Project[J]. Computers & Geosciences, 2007, 33: 104-125.
[72] Elena T, Sebastien G, Molly E B. Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and MODIS global NDVI products[J]. Remote Sensing of Environment, 2008, 112: 535-549.
[73] Gruber A, Wessel B, Huber M, et al. Operational TanDEM-X DEM calibration and first validation results[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73: 39-49.
[74] Niraula R R, Gilani H, Pokharel B K, et al. Measuring impacts of community forestry program though repeat photography and satellite remote sensing in the Dolakha district of Nepal[J]. Journal of Environmental Management, 2013, 126: 20-29.
[75] Yuan Wenping, Cai Wenwen, Liu Dan, et al. Satellite-based vegetation production models of terrestrial ecosystem: An overview[J]. Advances in Earth Science, 2014, 29(5): 541-550. [袁文平,蔡文文,刘丹,等. 陆地生态系统植被生产力遥感模型研究进展[J]. 地球科学进展,2014,29(5):541-550.]
[76] Cheng Guodong, Xiao Honglang, Fu Bojie, et al. Advances in synthetic research on the eco-hydrological process of the Heihe River Basin[J]. Advances in Earth Science, 2014, 29(4): 431-437. [程国栋,肖洪浪,傅伯杰,等. 黑河流域生态—水文过程集成研究进展[J]. 地球科学进展,2014,29(4):431-437.]
[77] Wang Xukun. Interdisciplinarity, interdisciplinary science and their position in the system of sciences[J]. Studies in Dialectics of Nature, 2000, 16(1): 43-47. [王续琨. 交叉学科、交叉科学及其在科学体系中的地位[J]. 自然辩证法研究,2000,16(1):43-47.]
[78] Wu Bingfang, Meng Jihua, Li Qiangzi. Review of overseas crop monitoring systems with remote sensing[J]. Advances in Earth Science, 2010, 25(10): 1 003-1 012. [吴炳方, 蒙继华, 李强子. 国外农情遥感监测系统现状与启示[J]. 地球科学进展,2010,25(10):1 003-1 012.]
[79] Chen Shupeng. The Explorations of Earth Sciences, Volume 6, Geo-information Science[M]. Beijing: Science Press, 2003. [陈述彭. 地学的探索(第六卷):地球信息科学[M]. 北京:科学出版社,2003.]
[80] Liao Ke. Earth Information Science and its application in 21st century[J]. Science of Surveying and Mapping, 2001, 26(2): 1-6. [廖克. 21世纪的地球信息科学及其应用[J]. 测绘科学,2001,26(2):1-6.]
[81] Zhang Xuejian,Zhang Nan. Let Space Earth Information Science Entering into Thousands of Households Soon-Interviewing Guo Huadong, Director-General of the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences[N/OL]. Science Times, 2007-11-28[2014-11-19]. http:∥news.sciencenet.cn/html/showsbnews1.aspx?id=195270. [王学健,张楠.早日让空间地球信息科学进入千家万户——访中国科学院对地观测与数字地球科学中心主任郭华东[N/OL].科学时报,2007-11-28[2014-11-19]. http:∥news.sciencenet.cn/html/showsbnews1.aspx?id=195270.]
[82] Becker-Reshef I, Justice C, Sullivan M, et al. Monitoring global croplands with coarse resolution Earth observations: The Global Agriculture Monitoring (GLAM) Project[J]. Remote Sensing, 2010, 2 (6): 1 589-1 609.
[83] Shi Y, Ji S P, Shao X W, et al. Framework of SAGI agriculture remote sensing and its perspectives in supporting national food security[J]. Journal of Integrative Agriculture, 2014, 13(7): 1 443-1 450.
[84] Wu B F, Meng J H, Li Q Z, et al. Remote sensing-based global crop monitoring: Experiences with China’s CropWatch system[J]. International Journal of Digital Earth, 2014, 7(2): 113-137.
[85] Zhang M, Wu B F, Yu M Z, et al. Crop condition assessment with adjusted NDVI using the uncropped arable land ratio[J]. Remote Sensing, 2014, 6(6): 5 774-5 794.
[86] Paul V D, Zhang J Z, Wang J, et al. Assessment of the contribution of in-situ combustion of coal to greenhouse gas emission: Based on a comparison of Chinese mining information to previous remote sensing estimates[J]. International Journal of Coal Geology, 2011, 86: 108-119.
[87] Yu Guirui, Wang Qiufeng, Zhu Xianjin. Methods and uncertainties in evaluating the carbon budgets of regional terrestrial ecosystems[J].Progress in Geography, 2011, 30(1): 103-113. [于贵瑞,王秋凤,朱先进. 区域尺度陆地生态系统碳收支评估方法及其不确定性[J]. 地理科学进展,2011,30(1):103-113.]
[88] Wu B F, Yan N N, Xiong J, et al. Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China[J]. Journal of Hydrology, 2012, 436/437: 67-80.
[89] Wu B F, Jiang L P, Yan N N, et al. Basin-wide evapotranspiration management: Concept and practical application in Hai Basin, China[J]. Agricultural Water Management, 2014, 145: 145-153.
[90] Chen Shupeng. The deep development and application of the mineral resources and remote sensing information[C]∥Chen Shupeng, Mao Dehua, eds. The Forum of Remote Sensing Science and Technology in 2007.Beijing: Earthquake Press, 2007: 373-380. [陈述彭. 矿产资源与遥感信息深度开发应用[C]∥陈述彭, 毛德华,著. 2007遥感科技论坛.北京: 地震出版社, 2007: 373-380.]
[91] Liu Dechang, Li Zhizhong, Wang Junhu. The technology progress and developing future of remote sensing geological prospecting in China[J]. Journal of Geo-information Science, 2011, 13(4): 431-438. [刘德长,李志忠,王俊虎. 我国遥感地质找矿的科技进步与发展前景[J]. 地球信息科学学报,2011,13(4):431-438.]
[92] Shenhua Group Corporation Limited. Shenhua Geological Exploration Company Gained 6 National Invention Patents[DB/OL]. Beijing: State-owned Assets Supervision and Administration Commission of the State Council, 2013[2014-11-20].http:∥www.sasac.gov.cn/n1180/n1226/n2410/n314319/15198325.html. [神华集团有限责任公司. 神华地勘公司获6项国家发明专利[DB/OL].北京:国务院国有资产监督管理委员会,2013[2014-11-20]. http:∥www.sasac.gov.cn/n1180/n1226/n2410/n314319/15198325.html.]
[93] Shen Xuhui, Wu Yun, Shan Xinjian. Remote sensing application in earthquake science and general proposal for earthquake satellite project in China[J]. Recent Developments in World Seismology,2007, 344: 38-45. [申旭辉,吴云,单新建. 地震遥感应用趋势与中国地震卫星发展框架[J]. 国际地震动态,2007,344:38-45.]
[94] Shi Juhua, Wu Shuren, Shi Ling. Remote sensing for landslide study: An overview[J]. Geological Review, 2008, 54(4): 505-514. [石菊松,吴树仁,石玲. 遥感在滑坡灾害研究中的应用进展[J]. 地质论评,2008,54(4):505-514.]
[95] Lei Tianjie, Li Changchun, He Xiaoying. Application of aerial remote sensing of pilotless aircraft to disaster emergency rescue[J]. Journal of Natural Disasters, 2011, 20(1): 178-183. [雷添杰,李长春,何孝莹. 无人机航空遥感系统在灾害应急救援中的应用[J]. 自然灾害学报,2011,20(1):178-183.]
[96] Li Zhen, Liao Jingjuan, Zhang Ping, et al. SAR parameter selection in disaster monitoring with C-band spaceborne SAR[J]. Remote Sensing Information, 2012, 27(6): 103-109. [李震,廖静娟,张平,等. C波段星载SAR系统在减灾应用中的工作模式选取[J]. 遥感信息,2012,27(6):103-109.]
[97] He Haixia, Fan Yida, Yang Siquan, et al. Review on application capability of space optical remote sensing for natural disaster management[J]. Spacecraft Engineering, 2012, 21(4): 117-122. [和海霞,范一大,杨思全,等. 航天光学遥感在自然灾害管理中应用能力评述[J]. 航天器工程,2012,21(4):117-122.]
[98] Dou M G, Chen J Y, Chen D, et al. Modeling and simulation for natural disaster contingency planning driven by high-resolution remote sensing images[J]. Future Generation Computer Systems, 2014, 37: 367-377.
[99] Tao Heping, Liu Bintao, Liu Shuzhen, et al. Natural hazards monitoring using remote sensing—A case study of 5·12 Wenchuan earthquake[J].Journal of Mountain Science, 2008, 26(3): 276-279. [陶和平,刘斌涛,刘淑珍,等. 遥感在重大自然灾害监测中的应用前景——以5·12汶川地震为例[J]. 山地学报,2008,26(3):276-279.]
[100] Li Qiangzi, Zhang Feifei, Du Xin, et al. Grain loss in main disaster area caused by Wenchuan earthquake[J]. Journal of Remote Sensing, 2009,13(5): 928-939. [李强子,张飞飞,杜鑫,等. 汶川地震粮食受损遥感快速估算与分析[J]. 遥感学报,2009,13(5):928-939.]
[101] Zhao Dan, Zhang Miao, Yu Mingzhao, et al. Monitoring agriculture and forest recovery after the Wenchuan earthquake[J]. Journal of Remote Sensing, 2014, 18(4): 958-970. [赵旦,张淼,于名召,等. 基于机载和星载遥感的汶川地震灾后农田和森林植被恢复监测[J]. 遥感学报,2014,18(4):958-970.]
[102] Yang Bin, Cao Chunxiang, Tian Rong, et al. Recovery evaluation of the eco-environmental quality after the Wenchuan earthquake[J]. Journal of Remote Sensing, 2014, 18(4): 946-957. [杨斌,曹春香,田蓉,等. 汶川县震后5年生态环境质量恢复评价[J]. 遥感学报,2014,18(4):946-957.]
[103] Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. RADI Carried Out Fire Disaster Monitoring and Evaluating in Australia Using Remote Sensing[DB/OL]. Beijing: Chinese Academy of Sciences, 2013[2014-11-15]. http:∥www.cas.cn/xw/yxdt/201310/t20131022_3961033.shtml. [中国科学院遥感与数字地球研究所. 遥感地球所开展澳大利亚山林火灾遥感监测与灾情评估[DB/OL].北京:中国科学院,2013[2014-11-15]. http:∥www.cas.cn/xw/yxdt/201310/t20131022_3961033.shtml.]
[104] Tong Qingxi. Role of remote sensing in flood monitoring in 1998[J]. Climatic and Environmental Research, 1998, 3(4): 314-322. [童庆禧.遥感在1998年洪水监测中的作用[J]. 气候与环境研究,1998,3(4):314-322.]
[105] Marti-Cardona B, Lopez-Martinez C, Dolz-Ripolles J, et al. ASAR polarimetric, multi-incidence angle and multitemporal characterization of Donana wetlands for flood extent monitoring[J]. Remote Sensing of Environment, 2010, 114(11): 2 802-2 815.
[106] Florent M, Martin G S, Chao Y, et al. Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments[J]. International Journal of Applied Earth Observation and Geoinformation, 2014, 26: 64-79.
[107] Pang Yong, Li Zengyuan, Chen Erxue, et al. Lidar remote sensing technology and its application in forestry[J]. Scientia Silvae Sinicae, 2005, 41(3): 129-136. [庞勇,李增元,陈尔学,等. 激光雷达技术及其在林业上的应用[J]. 林业科学,2005,41(3):129-136.]
[108] Heinz G, Giuliana Z, Cert-Jan N, et al. EU-wide maps of growing stock and above-ground biomass in forests based onremote sensing and field measurements[J]. Forest Ecology and Management, 2010, 260: 252-261.
[109] Du Guoming, Li Yun, Yu Fengrong, et al. Change characteristics analysis of farmland in Northern Sanjiang Plainin 2000-2009 based on remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(1): 225-229. [杜国明,李昀,于风荣,等. 基于遥感的2000—2009年三江平原北部耕地变化特征分析[J]. 农业工程学报,2012,28(1):225-229.]
[110] Lu S L, Wu B F, Wang H, et al. Hydro-ecological impact of water conservancy projects in the Haihe River Basin[J]. Acta Oecologica, 2012, 44: 67-74.
[111] Zhang L, Wu B F, Zhu L, et al. Patterns and driving forces of cropland changes in the Three Gorges area, China[J]. Regional Environmental Change, 2012 ,12(4): 765-776.
[112] Li Deren, Wang Mi, Hu Fen. Monitoring illegal construction in Beijing using Chinese high resolution satellite image[J]. Chinese Science Bulletin, 2009, 54(3): 305-311. [李德仁,王密,胡芬. 利用我国高分辨率卫星影像监测北京市违章建筑[J]. 科学通报,2009,54(3):305-311.]
[113] Huo Hongtao. Study on the monitoring of banning planting drug plants using satellite remote sensing technology[J]. Journal of Chinese People’s Public Security University, 2003, 33: 26-29. [霍宏涛. 应用卫星遥感技术进行毒品原植物禁种监测的研究[J]. 公安大学学报:自然科学版,2003,33:26-29.]
[114] Tian Y, Wu B F, Zhang L, et al. Oppium poppy monitoring with remote sensing in North Myanmar[J]. International Journal of Drug Policy, 2011, 22(4): 278-284.
[115] Wang Lixue. The Direct Food Subsidies and General Subsidies for Agriculture Supplies are 125 CNY Per mu This Year[DB/OL].Zao Zhuang: Zao Zhuang Newsnet, 2014[2014-11-10]. http:∥www.zaozhuang. gov.cn/ art/2012/11/26/art_2271_483091.html. [王立雪. 今年粮食直补和农资综合补贴每亩125元[DB/OL].枣庄:枣庄新闻网,2014[2014-11-10]. http:∥www.zaozhuang.gov.cn/ art/2012/11/26/ art_2271_483091.html.]
[116] Qu Hongsong, Jin Guang, Zhang Ye. Next view program and progress in optical remote sensing satellites[J]. Chinese Journal of Optics and Applied Optics, 2009, 2(6): 467-476. [曲宏松,金光,张叶.“Next View计划”与光学遥感卫星的发展趋势[J]. 中国光学与应用光学,2009,2(6):467-476.]
[117] Xu Hong, Wang Xiangjun. Applications of multispectral/hyperspectral imaging technologies in military[J]. Infrared and Laster Engineering, 2007, 36(1): 13-17. [许洪,王向军. 多光谱、超光谱成像技术在军事上的应用[J]. 红外与激光工程,2007,36(1):13-17.]
[118] Tian Jinchang. The military application analysis of Synthetic Aperture Radar[J].Aerodynamic Missiles Journal, 2010, 2: 2-8.[田锦昌. 合成孔径雷达在军事上的应用分析[J]. 飞航导弹,2010,2:2-8.]
[119] Fleming S, Jordan T, Madden M, et al. GIS applications for military operations in coastal zones[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64: 213-222.
[120] Duan Chengli, Qi Wenjie. Development trend and countermeasure of military sensor[J]. Journal of Transducer Technology, 2003, 22(11): 4-8. [段成丽,齐文杰. 军用传感器的发展趋势与对策[J]. 传感器技术,2003, 22(11):4-8.]
[121] Chen Shupeng. The Explorations of Earth Sciences. Volume 3, Remote Sensing Applications[M]. Beijing: Science Press, 1990. [陈述彭.地学的探索.第三卷,遥感应用[M]. 北京:科学出版社,1990.]
[122] Ye Peijian, Huang Jiangchuan, Sun Zezhou, et al. The process and experience in the development of Chinese lunar probe[J]. Science in China (Series E),2014, 44(6): 543-558. [叶培建,黄江川,孙泽洲,等. 中国月球探测器发展历程和经验初探[J]. 中国科学:E辑,2014,44(6):543-558.]
[123] Ren Xianshao, Wu Bingfang. The Method and Practice of Water Consumption Management over River Basin[M]. Beijing: Science Press, 2014. [任宪韶,吴炳方. 流域耗水管理方法与实践[M]. 北京:科学出版社,2014.]
[124] Li Mengxue. The ten year implementation plan and enlightenment of international cooperation in Earth observation field[J]. Science & Technology Industry of China, 2007, 7: 78-81. [李梦学. 地球观测领域国际合作十年执行计划及启示[J]. 中国科技产业,2007,7:78-81.]
[125] Donohue R J, Roderick M L, McVicar T R. Deriving consistent long-term vegetation information from AVHRR reflectance data using a cover-triangle-based framework[J]. Remote Sensing of Environment, 2008, 112: 2 938-2 949.
[126] Sterckx S, Benhadj I, Duhoux G, et al. The PROBA-V mission: image processing and calibration[J]. International Journal of Remote Sensing, 2014, 35(7): 2 565-2 588.

[1] 马晋, 周纪, 刘绍民, 王钰佳. 卫星遥感地表温度的真实性检验研究进展[J]. 地球科学进展, 2017, 32(6): 615-629.
[2] 晋锐, 李新, 马明国, 葛咏, 刘绍民, 肖青, 闻建光, 赵凯, 辛晓平, 冉有华, 柳钦火, 张仁华. 陆地定量遥感产品的真实性检验关键技术与试验验证[J]. 地球科学进展, 2017, 32(6): 630-642.
[3] 李青, 雷连发, 王振会, 魏鸣, 李东帅. 雷电流热效应的遥感观测研究进展[J]. 地球科学进展, 2017, 32(5): 481-487.
[4] 国家自然科学基金委员会地球科学部. 2017年度国家自然科学基金项目指南(地球科学部分)[J]. 地球科学进展, 2017, 32(1): 1-14.
[5] 史培军, 王爱慧, 孙福宝, 李宁, 叶涛, 徐伟, 王静爱, 杨建平, 周洪建. 全球变化人口与经济系统风险形成机制及评估研究[J]. 地球科学进展, 2016, 31(8): 775-781.
[6] 李正泉, 宋丽莉, 马浩, 冯涛, 王阔. 海上风能资源观测与评估研究进展[J]. 地球科学进展, 2016, 31(8): 800-810.
[7] 汪品先. 迎接我国地球科学的转型[J]. 地球科学进展, 2016, 31(7): 665-667.
[8] 彭志兴, 周纪, 李明松. 基于地面观测的异质性下垫面像元尺度地表温度模拟研究进展[J]. 地球科学进展, 2016, 31(5): 471-480.
[9] 张 勇, 戎志国, 闵 敏. 中国遥感卫星辐射校正场热红外通道在轨场地辐射定标方法精度评估[J]. 地球科学进展, 2016, 31(2): 171-179.
[10] 崔月菊, 杜建国, 李营, 刘雷, 周晓成, 陈扬, 陈志, 韩晓昆. 张渤地震带高光谱气体地球化学特征[J]. 地球科学进展, 2016, 31(1): 59-65.
[11] 兰鑫宇, 郭子祺, 田野, 雷霞, 王婕. 土壤湿度遥感估算同化研究综述[J]. 地球科学进展, 2015, 30(6): 668-679.
[12] 黄邦钦, 柳欣. 边缘海浮游生态系统对生物泵的调控作用[J]. 地球科学进展, 2015, 30(3): 385-395.
[13] 吴珊珊, 姚治君, 姜丽光, 刘兆飞. 现代冰川体积变化研究方法综述[J]. 地球科学进展, 2015, 30(2): 237-246.
[14] 宋长青,柴育成,李军. 2015年度地球科学部基金项目会议评审工作报告[J]. 地球科学进展, 2015, 30(12): 1328-.
[15] 艾丽坤, 王晓毅. 全球变化研究中自然科学和社会科学协同方法的探讨[J]. 地球科学进展, 2015, 30(11): 1278-1286.