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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 劉倬騰 | |
dc.contributor.author | Hsiu-Jui Chen | en |
dc.contributor.author | 陳秀睿 | zh_TW |
dc.date.accessioned | 2021-06-15T06:11:35Z | - |
dc.date.available | 2010-08-17 | |
dc.date.copyright | 2010-08-17 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-08-12 | |
dc.identifier.citation | Blyth, K., 1981: Remote Sensing in Hydrology. Report No. 74, Institute of Hydrology, Wallingford.
Edwards, A. J, 1999: Applications of satellite and airborne image data to coastal management. UNESCO, Paris. Hochberg, E. and M. Atkinson, 2000: Spectral discrimination of coral reef benthic communities. Coral Reefs, 19, 164–171. Hochberg, E. J. and M. J. Atkinson, 2002: Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing. Remote Sensing of Environ, 85, 159–173. Kutser, T., E. Vahtmäe and L. Metsamaa, 2006: Spectral library of macroalgae and benthic substrates in Estonian coastal waters. Proc. Estonian Acad. Sci. Biol. Ecol., 55, 4, 329.340 Knowlton, N., 2001: The future of coral reefs. Proceedings of the National Academy of Science of the United States of America, 98, 5419-5425. LIPI, 1995: Marine survey to support Marine Resources Evaluation and Planning (MREP) in Derawan Islands region. Indonesian Scientific Institute – LIPI, Ambon. Lyzenga, D. R., 1985: Shallow-water bathymetry using combined lidar and passive multispectral scanner data. Int. J. Remote Sens. 6, 115-125. Maeder, J., S. Narumalani, C. Donald, R. L. Perk, J. Schalles, K. Hutchins and J. Keck, 2002: Classifying and Mapping general coral-reef structure using Ikonos data. Photogrammetric Engineering & Remote Sensing, December, 1297-1305. Meng, P. J., H. J. Lee and J. T. Wang, 2008: A long-term survey on anthropogenic impacts to the water quality of coral reefs, southern Taiwan. Environmental Pollution, 156, 67-75 Mumby, P., C. Clark, E. Green and A. Edwards, 1998: Benefits of water column correction and contextual editing for mapping coral reefs. International Journal of Remote Sensing, 19 (1), 203–210. Nurlidiasari, M., 2004: The application of QuickBird and Multi-temporal Landsat TM-data for coral reef habitat mapping. International Institute for Geo-information Science and Earth Observation. 1-62. Natural Resources Cananda, 2007: Fundamentals of Remote Sensing. A Canada Centre for Remote Sensing Tutorial. (http://www.ccrs.nrcan,gc.ca/resource/index_ephp#tutor) Pandolfi, J. M., R. H. Bradbury, E. Sala and J. B.Jackson, 2003: Global trajectories of the long-term decline of coral reef ecosystems. Science, 301, 955-958. Purkis S., Pasterkamp R., 2003: Intergrating in situ reef-top reflectance spectra with Landsat TM imagery to aid shallow-tropical benthic habitat mapping. Vrije University Amsterdam, Amsterdam, The Netherlands. Roberts C. M., C. J. McClean, J. E. N. Veron, J. P. Hawkins, G. R. Allen, D. E. McAllister, C. G. Mittermeier, F. W. Schueler, M. Spalding, F. Wells, C. Vynne and T. B. Werner, 2002: Marine biodiversity hotspots and conservation priorities for tropical reefs. Science 295, 1280-1284. Stumpf R. P. and K. Holderied and M.Sinclair, 2003: Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnol. Oceanogr. , 48 (1, part 2), 547-556. 戴昌鳳(1998) 墾丁國家公園南灣海域珊瑚群聚的變遷:1987至1997 年. 國家公園學報 8:79-99. 郭兆揚(2007) 臺灣南部海域珊瑚礁底棲群聚的結構與變化,國立中山大學海洋生物研究所碩士論文, 1 ~ 49. 陳育群(2007) 水溫與二氧化碳變動對六種大型海藻成長與生理之影響,國立屏東科技大學水產養殖所碩士論文, 1~2. 劉忠誠(2009) 福衛二號多光譜影像推估南灣海域水深分布,台大理學院海洋所碩士論文, 30~45. 戴昌鳳(2009) 墾丁國家公園海域珊瑚礁總體檢,墾丁國家公園管理處委託辦理計畫報告, 21~67. 陳昭倫(2009) 眺石海洋資源保護示範區生態資源調查,墾丁國家公園管理處委託調查報告, 25~46. 台大空間資訊中心 http://140.112.64.178/sirc/index.asp 中央大學太空及遙測研究中心http://www.csrsr.ncu.edu.tw/08CSRWeb/ChinVer/index.php 國家太空中心 http://www.nspo.org.tw/2008c/ 墾丁國家公園管理處 http://www.ktnp.gov.tw/ Mapping Coral Reefs from Space http://www.pcrf.org/remotesensing.html Wikipedia http://en.wikipedia.org/wiki/Solar_radiation The Acquisition, Correction and Calibration of Remotely Sensed Data http://www.unesco.org/csi/pub/source/rs10.htm | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/47667 | - |
dc.description.abstract | 珊瑚白化為全球氣候變遷的重要指標之一,例如 1998年的珊瑚白化受到聖嬰事件 (El Niño) 影響最為嚴重(戴,1998),根據國際珊瑚礁學會的統計,全世界至少有五十個國家的珊瑚礁發生大量白化的現象,其範圍遍及太平洋、印度洋及大西洋的主要珊瑚礁區。當海域環境變遷時,可能會影響底質的組成分布,進而改變珊瑚礁生態系的物種分布,為迅速獲取海域中珊瑚生長狀態,本篇以南灣海域為例,由福衛二號多光譜衛星影像來測繪海底的物質分布情況,藉以評估珊瑚受到環境變遷的影響。
南灣海域有黑潮流經,水溫非常適合珊瑚生長,珊瑚群聚密度很高,海灣中分布二、三百種珊瑚。本篇以衛星接收到的資訊計算出藍綠波段的反射率,再依據珊瑚、大型藻類、白沙在藍綠波段的反射率特性不同,可推得底質覆蓋率,其中利用水體幾乎不反射近紅外光的特性進行大氣和波浪校正。 為了檢驗衛星估測底質覆蓋率的方法是否準確,採用拖曳式水下攝影拍攝南灣海域的底質照片做驗證。此方式是在水下載具 (Vfin) 內裝載攝影機,經由船隻拖曳,對南灣海域進行海域水下攝影。由2009 年水下攝影實測資料對同年衛星影像估測不同底質覆蓋率分布結果做驗證,得知其相關係數都大於0.7,表示衛星估測和水下攝影實測底質覆蓋率分布的相關性高。再計算覆蓋率差異的平均值,珊瑚和大型藻類覆蓋率的平均值的差異都接近 0.1,白沙更小於0.1,表示本文由衛星推估底質覆蓋率的方法是可信的。由兩張拍攝時間不同的衛星影像來推估南灣海域底質變化,發現2009年後壁湖某塊區域(120.749~120.753 oE, 21.94 ~ 21.944 oN) 的珊瑚明顯比2007年多,藻類比2007年少。本文使用的衛星遙測底質覆蓋率方法,可由不同時間的影像對海域進行長期監測底質的變化,其優點為可估測船隻無法到達海域或者水深較淺區域的水質,在下次環境變遷現象發生時能快速的推估海域中底質的變化,估測珊瑚受損的程度與範圍概況。 | zh_TW |
dc.description.abstract | Coral bleaching is one of the important indicators of global change. According to International Society for Reef Studies, there were over fifty countries coral reef bleaching when El Niño happened in 1998 and the incidence range from Pacific, Indian oceans, to Atlantic ocean. (Tai, 1998). Bottom type may change with environmental change. Formosat-2 images may be used to map the bottom types over large area and monitor coral bleaching events.
Because Kurshio flows into Nanwan Bay, the sea temperature is suitable for coral growth. There are two to three hundreds kinds of coral species in this area and the density of coral is abundant. Firstly, we use the Formosat-2 image to get the substrate reflectance from blue and green band, and near-infrared band to do atmospheric correction and surface wave correction. Secondly, we can classify the bottom substrates to three types (coral, macro algae, sand) by using different optical property to identify different bottom substrates. The advantages of using satellite images are we can map coral habitat from shallow region where ship can’t navigate and can estimate coral area in large region, but it’s restricted to weather condition and water quality. Another way to investigate sea bottom substrates is the ship towing underwater vehicle (Vfin), we can use it to examine the satellite estimated bottom substrates distribution result.The DV in Vfin records video images of sea bottom in Nanwan Bay. After examing the 2009 satellite-derived bottom coverage types, and 2009 Vfin in situ data, the correlation of coverage rate of bottom substrates are over 0.7. It shows high correlation between estimated data and in situ data. The difference of coral and macro algae coverage rates are close to 0.1, and sand is even smaller. We can say our method of estimating coverage rate of bottom substrates is reliable. From comparison of 2007/07/20 and 2009/01/29 satellite images, we found one area from Hobihu (120.749~120.753oE, 21.94 ~ 21.944oN) in 2009 having more corals but lower macro algae concentration than in 2007. When next El Niño happens, consecutive satellite images may be used to estimat bottom substrates distribution, and their change of distribution instantly, over larger area than human diving investigation. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T06:11:35Z (GMT). No. of bitstreams: 1 ntu-99-R96241102-1.pdf: 8062173 bytes, checksum: 6bbe66926631cbead04cdde5f465b6c3 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 摘要 I
Abstract ii 目錄 iii 圖目錄 v 表目錄 vi 方程式目錄 vii 詞彙表 ix 符號表 x 第一章 緒論 1 1-1研究背景與動機 1 1-2觀測底部物質的方法 2 1-2.1人工潛水觀測 2 1-2.2拖曳式水下攝影 3 1-2.3衛星遙測推估底部物質分布 4 1-3前人相關研究 5 1-3.1 光譜辨別做底部物質測繪 5 1-3.2 使用LandSat衛星影像推算淺水區底質分布 6 1-3.3 使用IKONOS衛星影像推知底部物質分布 7 第二章 福爾摩白沙衛星二號簡介 15 2-1 被動式與主動式衛星感測器 16 2-2 衛星成像模式 18 2-3 衛星影像解析度 19 第三章 研究區域與使用資料 22 3-1研究區域 22 3-2 使用資料 23 3-2.1 衛星資料 23 3-2.2 水下攝影實測資料 25 第四章 研究方法 27 4-1 影像前處理 27 4-2 影像數位值與輻射值的轉換 29 4-3 衛星接收能量的來源 30 4-3.1 波浪反射輻射值 (Lg) 31 4-3.2 天光輻射值 (Lsky) 34 4-3.3 海面下水體反射輻射值 (Lw-) 35 4-3.4 底部物質反射率 (Rb) 35 4-4 衛星影像依據藍綠光波段反射率推算底質覆蓋率 37 4-5 由實測資料計算航線上底質覆蓋率 40 4-5.1 水下攝影照片影像增強 41 4-5.2 實測資料計算底部物質反射率和覆蓋率 43 第五章 結果與討論 45 5-1 衛星推算底質分布結果 46 5-2 衛星估測結果討論 54 5-2.1水下攝影實測資料驗證衛星估測結果 54 5-2.2 由不同時間衛星影像探討底質變化 59 第六章 結論與展望 66 6-1 結論 66 6-2 展望 69 參考文獻及網站 70 | |
dc.language.iso | zh-TW | |
dc.title | 以海洋光學測繪南灣底質分布 | zh_TW |
dc.title | Marine Optical Mapping of Bottom Type in Nanwan | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 范光龍,呂黎光,許明光 | |
dc.subject.keyword | 福衛二號,底質覆蓋率,反射率, | zh_TW |
dc.subject.keyword | Formosat-2,bottom coverage,reflectance, | en |
dc.relation.page | 72 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-08-13 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 海洋研究所 | zh_TW |
顯示於系所單位: | 海洋研究所 |
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