PROGRESS IN GEOGRAPHY ›› 2018, Vol. 37 ›› Issue (11): 1454-1462.doi: 10.18306/dlkxjz.2018.11.002
• Special Column: South China Sea and "the Belt and Road Initiative" • Previous Articles Next Articles
LI Hongyi1,2,3(), LIU Yongxue1,2,3,*(
), ZHANG Siyu1,3, SUN Chao1,3, SUN Jiaqi1,3
Received:
2016-10-09
Revised:
2017-05-31
Online:
2018-11-28
Published:
2018-11-28
Contact:
LIU Yongxue
E-mail:lu_leftright@sina.com;yongxue@nju.edu.cn
Supported by:
LI Hongyi,LIU Yongxue,ZHANG Siyu,SUN Chao,SUN Jiaqi. Progress and prospects on coral reefs research in the South China Sea based on the application of geographic information technologies[J].PROGRESS IN GEOGRAPHY, 2018, 37(11): 1454-1462.
[1] |
陈建裕, 毛志华, 张华国, 等. 2007. SPOT5数据东沙环礁珊瑚礁遥感能力分析[J]. 海洋学报: 中文版, 29(3): 51-57.
doi: 10.3321/j.issn:0253-4193.2007.03.007 |
[Chen J Y, Mao Z H, Zhang H G, et al.2007. Analysis on coral reefs mapping using SPOT5 at Dongsha Atoll[J]. Acta Oceanologica Sinica, 29(3): 51-57.]
doi: 10.3321/j.issn:0253-4193.2007.03.007 |
|
[2] | 陈韶阳. 2011. 南沙群岛价值分类评价和开发策略研究[D]. 青岛: 中国海洋大学. |
[Chen S Y.2011. Research on classified value evaluation and development strategy of Nansha Islands[D]. Qingdao, China: Ocean University of China.] | |
[3] | 成王玉, 刘永学, 李满春, 等. 2013. 基于AHP与模糊综合评价方法的南沙东部岛礁战略价值评价[J]. 热带地理, 33(4): 381-386. |
[Cheng W Y, Liu Y X, Li M C, et al.2013. Strategic value evaluation of the atolls in the eastern Nansha Islands based on AHP and Fuzzy Comprehensive Evaluation Method[J]. Tropical Geography, 33(4): 381-386.] | |
[4] |
党福星, 丁谦. 2003. 利用多波段卫星数据进行浅海水深反演方法研究[J]. 海洋通报, 22(3): 55-60.
doi: 10.3969/j.issn.1001-6392.2003.03.008 |
[Dang F X, Ding Q.2003. Research on reefs bathymetry estimation by remote sensing using multi-band satellite data[J]. Marine Science Bulletin, 22(3): 55-60.]
doi: 10.3969/j.issn.1001-6392.2003.03.008 |
|
[5] | 何宇华, 王永江. 1998. 卫星遥感在岛、礁、滩、沙资源分布现状综合调查中的应用[J]. 中国地质, (8): 43-46. |
[He Y H, Wang Y J.1998. Satellite remote sensing applications on the island, reef, beach, sand distribution resources comprehensive survey[J]. Geology of China, (8): 43-46.] | |
[6] | 胡蕾秋, 刘亚岚, 任玉环, 等. 2010. SPOT5多光谱图像对南沙珊瑚礁信息提取方法的探讨[J]. 遥感技术与应用, 25(4): 493-501. |
[Hu L Q, Liu Y L, Ren Y H, et al.2010. Research on the extraction eethod of coral reef at Spratly Islands using SPOT5[J]. Remote Sensing Technology and Application, 25(4): 493-501.] | |
[7] | 蒋洁, 刘永学, 李满春, 等. 2014. 南海岛礁风能资源及风力发电评价: 基于QuikSCAT风场数据与Landsat ETM+影像[J]. 资源科学, 36(1): 139-147. |
[Jiang J, Liu Y X, Li M C, et al.2014. Wind energy resources and wind power generation on islands and reefs in the South China Sea based on QuikSCAT wind data and Landsat ETM+ images[J]. Resources Science, 36(1): 139-147.] | |
[8] | 廖彬彬. 2013. 热带珊瑚岛礁生态系统风险评价与管理研究[D]. 上海: 华东师范大学. |
[Liao B B.2013. Risk assessment and management of tropical coral reef ecosystems[D]. Shanghai, China: East China Normal University.] | |
[9] |
潘春梅, 丁谦, 曹文玉. 2002. 南沙群岛岛礁地形地貌TM影像特征分析[J]. 国土资源遥感,(2): 34-37, 60.
doi: 10.6046/gtzyyg.2002.02.08 |
[Pan C M, Ding Q, Cao W Y.2002. The applicaion of the adjustment technique to TM satellite imagery in Nansha Islands[J], Remote Sensing for Land & Resources,(2): 34-37, 60.]
doi: 10.6046/gtzyyg.2002.02.08 |
|
[10] |
盛琳, 王双亭, 周高伟, 等. 2015. 非线性模型岛礁礁盘遥感水深反演[J]. 测绘科学, 40(10): 43-47.
doi: 10.16251/j.cnki.1009-2307.2015.10.008 |
[Sheng L, Wang S T, Zhou G W, et al.2015. Research on reefs bathymetry estimation by remote sensing based on nonlinear model[J]. Science of Surveying and Mapping, 40(10): 43-47.]
doi: 10.16251/j.cnki.1009-2307.2015.10.008 |
|
[11] |
石伟, 苏奋振, 周成虎, 等. 2014. 南沙岛礁及周边港口可达性评价模型研究[J]. 地理学报, 69(10): 1510-1520.
doi: 10.11821/dlxb201410010 |
[Shi W, Su F Z, Zhou C H, et al.2014. Research on accessibility model of Nansha Islands and surrounding seaports[J]. Acta Geographica Sinica, 69(10): 1510-1520.]
doi: 10.11821/dlxb201410010 |
|
[12] |
孙超, 刘永学, 李满春, 等. 2014. 近35年来热带风暴对我国南海岛礁的影响分析[J]. 国土资源遥感, 26(3): 135-140.
doi: 10.6046/gtzyyg.2014.03.22 |
[Sun C, Liu Y X, Li M C, et al.2014. An analysis of tropical storms impact on islands and reefs in the South China Sea in the past 35 years[J]. Remote Sensing for Land & Resources, 26(3): 135-140.]
doi: 10.6046/gtzyyg.2014.03.22 |
|
[13] |
唐盟. 2015. 被越南侵占的中国南沙群岛岛礁的时空分布特征及战略格局[J]. 热带地理, 35(5): 739-744.
doi: 10.13284/j.cnki.rddl.002749 |
[Tang M.2015. Spatial distribution characteristic and strategic situation of the islands and reefs invaded by Vietnam in the Chinese Nansha Islands[J]. Tropical Geography, 35(5): 739-744.]
doi: 10.13284/j.cnki.rddl.002749 |
|
[14] |
汪业成, 刘永学, 李满春, 等. 2013. 基于场强模型的南沙岛礁战略地位评价[J]. 地理研究, 32(12): 2292-2301.
doi: 10.11821/dlyj201312011 |
[Wang Y C, Liu Y X, Li M C, et al.2013. The strategic position of Spratly Islands: An evaluation based on the field spread model[J]. Geographical Research, 32(12): 2292-2301.]
doi: 10.11821/dlyj201312011 |
|
[15] | 张荷霞. 2014. 南沙群岛岛礁战略价值评价研究[D]. 南京: 南京大学. |
[Zhang H X.2014. Research on strategic value evaluation of the islands and reefs in the Nansha Islands[D]. Nanjing, China: Nanjing University.] | |
[16] | 张荷霞, 刘永学, 李满春, 等. 2013a. 南海中南部海域油气资源开发战略价值评价[J]. Resources Science, 35(11): 2142-2150. |
[Zhang H X, Liu Y X, Li M C, et al.2013a. Strategic value assessment of oil and gas exploitation in the central and southern South China Sea[J]. Resources Science, 35(11): 2142-2150.] | |
[17] |
张荷霞, 刘永学, 李满春, 等. 2013b. 基于 JASON-1 资料的南海海域海面风、浪场特征分析[J]. 地理与地理信息科学, 29(5): 53-57.
doi: 10.7702/dlydlxxkx20130512 |
[Zhang H X, Liu Y X, Li M C, et al.2013b. Characteristic analysis on sea surface wind and wave fields in the South China Sea based on JA SON-1 data[J]. Geography and Geo-Information Science, 29(5): 53-57.]
doi: 10.7702/dlydlxxkx20130512 |
|
[18] | 张荷霞, 刘永学, 李满春, 等. 2014. 基于AHP和EWCM的部分南沙岛礁战略价值模糊综合评价[J]. 海洋通报, 33(4): 377-382. |
[Zhang H X, Liu Y X, Li M C, et al.2014. Fuzzy comprehensive evaluation of the strategic value for several reefs in the Spratly Islands based on AHP and EWCM[J]. Marine Science Bulletin, 33(4): 377-382.] | |
[19] | 张靖宇. 2015. 浅海水深多维度遥感反演融合方法研究[D]. 青岛: 国家海洋局第一海洋研究所. |
[Zhang J Y.2015. Study on fusion models of multi-dimensional bathymetry inversion in shallow sea with remote sensing: A case study of the islands and reefs in South China Sea[D]. Qingdao, China: First Institute of Oceanography of National Bureau of Oceanography.] | |
[20] |
赵赛帅, 刘永学, 李满春, 等. 2015. 基于AHP-变异系数法的越占南沙岛礁战略价值评价[J]. 海洋科学, 39(6): 114-121.
doi: 10.11759/hykx20130605003 |
[Zhao S S, Liu Y X, Li M C, et al.2015. Strategic assessment of the Nansha Islands occupied by Vietnam based on AHP-variation coefficient method[J]. Marine Sciences, 39(6): 114-121.]
doi: 10.11759/hykx20130605003 |
|
[21] |
周旻曦, 刘永学, 李满春, 等. 2015. 多目标珊瑚岛礁地貌遥感信息提取方法: 以西沙永乐环礁为例[J]. 地理研究, 34(4): 677-690.
doi: 10.11821/dlyj201504007 |
[Zhou M X, Liu Y X, Li M C, et al.2015. Geomorphologic information extraction for multi-objective coral islands from remotely sensed imagery: A case study for Yongle Atoll, South China Sea[J]. Geographical Research, 34(4): 677-690.]
doi: 10.11821/dlyj201504007 |
|
[22] |
邹亚荣, 林明森, 王华, 等. 2006. 对东沙岛基于融合信息高分辨遥感影像分类研究[J]. 海洋学报: 中文版, 28(1): 56-61.
doi: 10.3321/j.issn:0253-4193.2006.01.008 |
[Zou Y R, Lin M S, Wang H, et al.2006. Study on high resolution image classification for Dongsha Island based on fuse information[J]. Acta Oceanologica Sinica, 28(1): 56-61.]
doi: 10.3321/j.issn:0253-4193.2006.01.008 |
|
[23] |
Andréfouët S, Berkelmans R, Odriozola L, et al.2002. Choosing the appropriate spatial resolution for monitoring coral bleaching events using remote sensing[J]. Coral Reefs, 21(2): 147-154.
doi: 10.1007/s00338-002-0233-x |
[24] |
Andréfouët S, Kramer P, Torres-Pulliza D, et al.2003. Multi-site evaluation of IKONOS data for classification of tropical coral reef environments[J]. Remote Sensing of Environment, 88(1-2): 128-143.
doi: 10.1016/j.rse.2003.04.005 |
[25] |
Baker A C, Glynn P W, Riegl B.2008. Climate change and coral reef bleaching: An ecological assessment of long-term impacts, recovery trends and future outlook[J]. Estuarine, Coastal and Shelf Science, 80(4): 435-471.
doi: 10.1016/j.ecss.2008.09.003 |
[26] |
Barnes B B, Hu C.2016. Island building in the South China Sea: detection of turbidity plumes and artificial islands using Landsat and MODIS data[J]. Scientific Reports, 6: 1-12.
doi: 10.1038/s41598-016-0001-8 |
[27] |
Benfield S L, Guzman H M, Mair J M, et al.2007. Mapping the distribution of coral reefs and associated sublittoral habitats in Pacific Panama: a comparison of optical satellite sensors and classification methodologies[J]. International Journal of Remote Sensing, 28(22): 5047-5070.
doi: 10.1080/01431160701258062 |
[28] |
Botha E J, Brando V E, Anstee J M, et al.2013. Increased spectral resolution enhances coral detection under varying water conditions[J]. Remote Sensing of Environment, 131: 247-261.
doi: 10.1016/j.rse.2012.12.021 |
[29] | Burke L, Selig E, Spalding M. 2006. Reefs at risk in Southeast Asia [M]. Washington D.C., USA: World Resources Institute. |
[30] |
Chen T, Li S, Yu K, et al.2013. Increasing temperature anomalies reduce coral growth in the Weizhou Island, northern South China Sea[J]. Estuarine, Coastal and Shelf Science, 130: 121-126.
doi: 10.1016/j.ecss.2013.05.009 |
[31] |
Chen T, Yu K, Shi Q, et al.2009. Twenty-five years of change in scleractinian coral communities of Daya Bay (northern South China Sea) and its response to the 2008 AD extreme cold climate event[J]. Chinese Science Bulletin, 54(12): 2107-2117.
doi: 10.1007/s11434-009-0007-8 |
[32] | Duan Y, Liu Y, Li M, et al.2016. Reefs survey of the Nansha Islands based on Landsat 8 OLI images[J]. Acta Oceanologica Sinica, 35: 11-19. |
[33] |
Goodman J A, Ustin S L.2007. Classification of benthic composition in a coral reef environment using spectral unmixing[J]. Journal of Applied Remote Sensing, 1(1): 341-353.
doi: 10.1117/1.2815907 |
[34] |
Graham N A, McClanahan T R, MacNeil M A, et al.2008. Climate warming, marine protected areas and the ocean-scale integrity of coral reef ecosystems[J]. PLoS One, 3(8): 1-9.
doi: 10.1371/journal.pone.0003039 pmid: 18728776 |
[35] |
Hochberg E J, Atkinson M J.2003. Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra[J]. Remote Sensing of Environment, 85(2): 174-189.
doi: 10.1016/S0034-4257(02)00202-X |
[36] |
Hoegh-Guldberg O, Mumby P, Hooten A, et al.2007. Coral reefs under rapid climate change and ocean acidification[J]. Science, 318(5857): 1737-1742.
doi: 10.1126/science.1152509 |
[37] |
Hsu M K, Liu A K, Zhao Y, et al.2008. Satellite remote sensing of Spratly Islands using SAR[J]. International Journal of Remote Sensing, 29(21): 6427-6436.
doi: 10.1080/01431160802175405 |
[38] | Knudby A, LeDrew E, Newman C.2007. Progress in the use of remote sensing for coral reef biodiversity studies[J]. Progress in Physical Geography, 31(4): 421-434. |
[39] |
Kutser T, Dekker A G, Skirving W.2003. Modeling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments[J]. Limnology and Oceanography, 48(1): 497-510.
doi: 10.4319/lo.2003.48.1_part_2.0497 |
[40] |
Li S, Yu K, Chen T, et al.2011. Assessment of coral bleaching using symbiotic zooxanthellae density and satellite remote sensing data in the Nansha Islands, South China Sea[J]. Chinese Science Bulletin, 56(10): 1031-1037.
doi: 10.1007/s11434-011-4390-6 |
[41] |
Liu H, Yao Y, Deng H.2011. Geological and geophysical conditions for potential natural gas hydrate resources in southern South China Sea waters[J]. Journal of Earth Science, 22: 718-725.
doi: 10.1007/s12583-011-0222-5 |
[42] |
Maina J, Venus V, McClanahan T R, et al.2008. Modelling susceptibility of coral reefs to environmental stress using remote sensing data and GIS models[J]. Ecological Modelling, 212(3-4): 180-199.
doi: 10.1016/j.ecolmodel.2007.10.033 |
[43] |
Mumby P J, Edwards A J.2002. Mapping marine environments with IKONOS imagery: Enhanced spatial resolution can deliver greater thematic accuracy[J]. Remote Sensing of Environment, 82(2-3): 248-257.
doi: 10.1016/S0034-4257(02)00041-X |
[44] |
Mumby P J, Skirving W, Strong A E, et al.2004. Remote sensing of coral reefs and their physical environment[J]. Marine Pollution Bulletin, 48(3-4): 219-228.
doi: 10.1016/j.marpolbul.2003.10.031 pmid: 14972573 |
[45] |
Roelfsema C M, Phinn S R.2010. Integrating field data with high spatial resolution multispectral satellite imagery for calibration and validation of coral reef benthic community maps[J]. Journal of Applied Remote Sensing, 4(1): 1-28 .
doi: 10.1117/1.3430107 |
[46] |
Rosenberg D, Chung C.2008. Maritime security in the South China Sea: Coordinating coastal and user state priorities[J]. Ocean Development & International Law, 39(1): 51-68.
doi: 10.1080/00908320701641602 |
[47] |
Strong A E, Liu G, Skirving W, et al.2011. NOAA's Coral Reef Watch program from satellite observations[J]. Annals of GIS, 17(2): 83-92.
doi: 10.1080/19475683.2011.576266 |
[48] |
Trung N N.2012. The gas hydrate potential in the South China Sea[J]. Journal of Petroleum Science and Engineering, 88: 41-47.
doi: 10.1016/j.petrol.2012.01.007 |
[49] |
Wang J, Li M, Liu Y, et al.2014. Safety assessment of shipping routes in the South China Sea based on the fuzzy analytic hierarchy process[J]. Safety Science, 62: 46-57.
doi: 10.1016/j.ssci.2013.08.002 |
[50] |
Webb A P, Kench P S.2010. The dynamic response of reef islands to sea-level rise: Evidence from multi-decadal analysis of island change in the Central Pacific[J]. Global and Planetary Change, 72(3): 234-246.
doi: 10.1016/j.gloplacha.2010.05.003 |
[51] |
Yamano H, Shimazaki H,Matsunaga T, et al.2006. Evaluation of various satellite sensors for waterline extraction in a coral reef environment: Majuro Atoll, Marshall Islands[J]. Geomorphology, 82(3): 398-411.
doi: 10.1016/j.geomorph.2006.06.003 |
[52] |
Yu K.2012. Coral reefs in the South China Sea: Their response to and records on past environmental changes[J]. Science China Earth Sciences, 55(8): 1217-1229.
doi: 10.1007/s11430-012-4449-5 |
[53] | Zheng C, Zhuang H, Li X, et al.2011. Wind energy and wave energy resources assessment in the East China Sea and South China Sea[J]. Science China Technological Sciences, 55(1): 163-173. |
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