<span id="cm2fgr"></span><acronym id="cm2fgr"></acronym><ol id="cm2fgr"></ol><strike id="cm2fgr"></strike><table id="cm2fgr"></table>
    <dd id="cm2fgr"></dd><sup id="cm2fgr"></sup><abbr id="cm2fgr"></abbr>
    <label id="cm2fgr"><tt id="cm2fgr"></tt><font id="cm2fgr"></font><th id="cm2fgr"></th></label><big id="cm2fgr"><address id="cm2fgr"></address><button id="cm2fgr"></button></big>
    • <ol id="cm2fgr"></ol><ins id="cm2fgr"></ins>
              1. <ol id="2yzpxm"></ol><center id="2yzpxm"></center><table id="2yzpxm"></table><noscript id="2yzpxm"></noscript>
                <style id="2yzpxm"><q id="2yzpxm"><th id="2yzpxm"></th><tr id="2yzpxm"></tr><dt id="2yzpxm"></dt><del id="2yzpxm"></del><small id="2yzpxm"></small></q></style>
                  |本期目錄/Table of Contents|

                  [1]曹鵬,梁其椿,李淑敏.基于Otsu算法的太湖藍藻水華與水生植被遙感同步監測方法[J].江蘇農業科學,2019,47(14):288-294.
                   Cao Peng,et al.A novel remote sensing simultaneous monitoring method for cyanobacteria blooms and aquatic vegetation in Taihu Lake based on Otsu algorithm[J].,2019,47(14):288-294.
                  點擊複制

                  基于Otsu算法的太湖藍藻水華與水生植被
                  遙感同步監測方法
                  (PDF)
                  分享到:

                  《江蘇農業科學》[ISSN:1002-1302/CN:32-1214/S]

                  卷:
                  第47卷
                  期數:
                  2019年第14期
                  頁碼:
                  288-294
                  欄目:
                  資源與環境
                  出版日期:
                  2019-08-10

                  文章信息/Info

                  Title:
                  A novel remote sensing simultaneous monitoring method for cyanobacteria blooms and aquatic vegetation in Taihu Lake based on Otsu algorithm
                  作者:
                  曹鵬1 梁其椿2 李淑敏2
                  1.北京大學遙感與地理信息系統研究所,北京 100871; 2.中國電子科技集團海洋信息技術研究院,海南陵水 572427
                  Author(s):
                  Cao Penget al
                  關鍵詞:
                  藍藻水華水生植被太湖OtsuMODIS
                  Keywords:
                  -
                  分類號:
                  Q178.5
                  DOI:
                  -
                  文獻標志碼:
                  A
                  摘要:
                  藍藻水華與水生植被在光學遙感影像上容易混淆,傳統方法將太湖劃分爲藻型湖區和草型湖區進行分區監測,近年來太湖梅梁湖等藍藻水華易發區域出現了大量的水生植物,分區的方法已無法滿足藍藻水華和水生植被遙感監測要求。基于光譜特征分析,采用藍藻水華與水生植被指數(cyanobacteria and macrophytes index,簡稱CMI)判別藍藻水華與水生植被水域,采用浮遊藻類指數(floating algae index,簡稱FAI)識別藍藻水華、浮葉/挺水植被與沉水植被,構建同步監測決策樹,基于Otsu算法自動獲取阈值,將中分辨率成像光增儀(MODIS)衛星影像分成湖水、藍藻水華、沉水植被和浮葉/挺水植被幾種類型。結果表明,分類結果較好,符合太湖不同地物類型實際分布情況;與相關研究HJ衛星影像東部湖區水生植被監測結果進行交叉檢驗,水生植被的空間分布基本一致,一致性檢驗結果顯示,2種分類結果一致的像元比例爲70.11%。實現藍藻水華及水生植物的同步遙感監測,有助于精確評估藍藻水華的實際強度和水生植被區範圍,爲富營養化湖泊的水環境管理和決策提供重要的科技支撐。
                  Abstract:
                  -

                  參考文獻/References:

                  [1]Carpenter S R,Caraco N F,Correll D L,et al. Nonpoint pollution of surface waters with phosphorus and nitrogen[J]. Ecological Applications,1998,8(3):559-568.
                  [2]Havens K E . Cyanobacteria blooms:effects on aquatic ecosystems[M]. New York:Springer,2008:68-69.
                  [3]孔繁翔,高光. 大型淺水富營養化湖泊中藍藻水華形成機理的思考[J]. 生態學報,2005,25(3):589-595.
                  [4]吳慶龍,謝平,楊柳燕,等. 湖泊藍藻水華生態災害形成機理及防治的基礎研究[J]. 地球科學進展,2008,23(11):1115-1123.
                  [5]馬榮華,孔繁翔,段洪濤,等. 基于衛星遙感的太湖藍藻水華時空分布規律認識[J]. 湖泊科學,2008,20(6):687-694.
                  [6]段洪濤,張壽選,張淵智. 太湖藍藻水華遙感監測方法[J]. 湖泊科學,2008,20(2):145-152.
                  [7]Oyama Y,Matsushita B,Fukushima T. Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM+shortwave infrared bands[J]. Remote Sensing of Environment,2014,157:35-47.
                  [8]張壽選,段洪濤,谷孝鴻. 基于水體透明度反演的太湖水生植被遙感信息提取[J]. 湖泊科學,2008,20(2):184-190.
                  [9]馬榮華. 湖泊水環境遙感[M]. 北京:科學出版社,2010:461.
                  [10]Luo J H,Ma R H,Duan H T,et al. A new method for modifying thresholds in the classification of tree models for mapping aquatic vegetation in Taihu lake with satellite images[J]. Remote Sensing,2014,6(8):7442-7462.
                  [11]李俊生,吳迪,吳遠峰,等. 基于實測光譜數據的太湖水華和水生高等植物識別[J]. 湖泊科學,2009,21(2):215-222.
                  [12]朱慶,李俊生,張方方,等. 基于海岸帶高光譜成像儀影像的太湖藍藻水華和水草識別[J]. 遙感技術與應用,2016,31(5):879-885.
                  [13]Gao B C. NDWI-a normalized differencewater index for remote sensing of vegetation liquid water from space[J]. Remote Sensing of Environment,1996,58(3):257-266.
                  [14]Rogers A,Kearney M. Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices[J]. International Journal of Remote Sensing,2004,25(12):2317-2335.
                  [15]Liu X H,Zhang Y L,Shi K,et al. Mapping aquatic vegetation in a large,shallow eutrophic lake:a frequency-based approach using multiple years of MODIS data[J]. Remote Sensing,2015,7(8):10295-10320.
                  [16]Liang Q C,Zhang Y C,Ma R H,et al. A MODIS-Based novel method to distinguish surface cyanobacterial scums and aquatic macrophytes in lake taihu[J]. Remote Sensing,2017,9(2):133.
                  [17]呂恒,江南,羅潋蔥. 基于TM數據的太湖葉綠素a濃度定量反演[J]. 地理科學,2006,26(4):472-476.
                  [18]周立國,馮學智,王春紅,等. 太湖藍藻水華的MODIS衛星監測[J]. 湖泊科學,2008,20(2):203-207.
                  [19]王同生. 太湖流域防洪與水資源管理[M]. 北京:中國水利水電出版社,2006:342.
                  [20]許妍,高俊峰,黃佳聰. 太湖濕地生態系統服務功能價值評估[J]. 長江流域資源與環境,2010,19(6):646-652.
                  [21]Duan H T,Ma R H,Xu X F,et al. Two-decade reconstruction of algal blooms in Chinas lake Taihu[J]. Environmental Science & Technology,2009,43(10):3522-3528.
                  [22]Zhao D H,Jiang H,Yang T W,et al. Remote sensing of aquatic vegetation distribution in Taihu Lake using an improved classification tree with modified thresholds[J]. Journal of Environmental Management,2012,95(1):98-107.
                  [23]Revenga C,Kura Y. Status and trends of biodiversity of inland water ecosystems[M]// Status and Trends of Biodiversity of Inland Water Ecosystems. 2003.
                  [24]Luo J H,Li X C,Ma R H,et al. Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake,China[J]. Ecological Indicators,2016,60(50):503-513.
                  [25]Gordon H R. Atmospheric correction of ocean color imagery in the Earth Observing System era[J]. Journal of Geophysical Research-Atmospheres,1997,102(D14):17081-17106.
                  [26]Gordon H R,Clark D K. Clear water radiances for atmospheric correction of coastal zone color scanner imagery[J]. Applied Optics,1981,20(24):4175-4180.
                  [27]Hu C M. A novel ocean color index to detect floating algae in the global oceans[J]. Remote Sensing of Environment,2009,113(10):2118-2129.
                  [28]Vermote E F,El S N,Justice C O,et al. Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces:Background,operational algorithm and validation[J]. Journal of Geophysical Research Atmospheres,1997,102(D14):17131-17141.
                  [29]李素菊,吳倩,王學軍,等. 巢湖浮遊植物葉綠素含量與反射光譜特征的關系[J]. 湖泊科學,2002,14(3):228-234.
                  [30]周藝,周偉奇,王世新,等. 遙感技術在內陸水體水質監測中的應用[J]. 水科學進展,2004,15(3):312-317.
                  [31]馮偉,馮學智,馬榮華. 太湖水體葉綠素濃度與反射光譜特征關系的研究[J]. 遙感信息,2007(1):18-21.
                  [32]Thiemann S,Kaufmann H. Determination of chlorophyll content and trophic state of lakes using field spectrometer and IRS-1C satellite data in the Mecklenburg Lake District,Germany[J]. Remote Sensing of Environment,2000,73(2):227-235.
                  [33]Hu C M,Lee Z,Ma R H,et al. Moderate resolution imaging spectroradiometer (MODIS) observations of cyanobacteria blooms in Taihu Lake,China[J]. Journal of Geophysical Research-Oceans,2010,115(999):303-306.
                  [34]趙忠明,朱重光. 遙感圖象中薄雲的去除方法[J]. 遙感學報,1996(3):195-199.
                  [35]Chen P Y,Srinivasan R,Fedosejevs G,et al. An automated cloud detection method for daily NOAA-14 AVHRR data for Texas,USA[J]. International Journal of Remote Sensing,2002,23(15):2939-2950.
                  [36]何全軍,曹靜,黃江,等. 基于多光譜綜合的MODIS數據雲檢測研究[J]. 國土資源遙感,2006,18(3):19-22.
                  [37]周紅妹,楊星衛,陸賢. NOAA氣象衛星雲檢測方法的研究[J]. 遙感學報,1995(2):137-142.
                  [38]Jedlovec G J,Haines S L,Lafontaine F J. Spatial and temporal varying thresholds for cloud detection in GOES imagery[J]. IEEE Transactions on Geoscience and Remote Sensing,2008,46(6):1705-1717.
                  [39]Wang M H,Shi W. Cloud masking for ocean color data processing in the coastal regions[J]. IEEE Transactions on Geoscience and Remote Sensing,2006,44(11):3196-3205.
                  [40]毛節泰,張軍華,王美華. 中國大氣氣溶膠研究綜述[J]. 氣象學報,2002,60(5):625-634.
                  [41]馬榮華,唐軍武,段洪濤,等. 湖泊水色遙感研究進展[J]. 湖泊科學,2009,21(2):143-158.
                  [42]呂長春,王忠武,錢少猛. 混合像元分解模型綜述[J]. 遙感信息,2003(3):55-58,60.

                  相似文獻/References:

                  [1]黃炜.藍藻水華Probit短期預測模型[J].江蘇農業科學,2014,42(01):337.
                   Huang Wei.A Probit short-term forecast model for cyanobacterial blooms[J].,2014,42(14):337.
                  [2]蔣晨韻,唐曉先,王璨,等.氣象因子對巢湖水源地藍藻水華暴發的影響[J].江蘇農業科學,2019,47(10):281.
                   Jiang Chenyun,et al.Influence of meteorological factors on outbreaks of cyanobacterial blooms in water resource region of Chaohu Lake[J].,2019,47(14):281.

                  備注/Memo

                  備注/Memo:
                  收稿日期:2018-04-23
                  基金項目:國家自然科學基金(編號:41625003);中電科海洋信息技術研究院創新基金(編號:xyxt)。
                  作者簡介:曹鵬(1992—),男,江蘇南通人,碩士研究生,主要從事遙感技術應用、地理空間信息研究。E-mail:caopeng@pku.edu.cn。
                  通信作者:梁其椿,碩士,工程師,主要從事環境遙感研究。E-mail:liangqc@cetcocean.com。
                  更新日期/Last Update: 2019-07-20
                  X-POWER-BY FNC V1.0.0 FROM 自制42