發(fā)布時間：2018-01-24 12:52

  本文關(guān)鍵詞： 泡沼 水深 遙感反演 扎龍濕地 高光譜　出處：《吉林大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：海洋、河流、湖泊的水深遙感研究已有豐富的成果，但對于濕地泡沼的水深遙感研究并不是很多，濕地在維持生態(tài)平衡等多方面發(fā)揮著重要作用。隨著濕地受人類活動影響加劇，生態(tài)功能被破壞。水對濕地的形成、發(fā)展起到關(guān)鍵作用。為了保護濕地資源，準(zhǔn)確掌握水深有重要意義。本文以扎龍濕地龍泡子為主要研究區(qū)，利用多光譜影像數(shù)據(jù)與實測水深建立多光譜模型，利用野外實測高光譜數(shù)據(jù)與實測水深數(shù)據(jù)建立高光譜模型，兩類不同模型對比分析，嘗試?yán)眠b感手段快速反演扎龍濕地湖泡水深，建立扎龍濕地湖泡水深反演模型，實現(xiàn)濕地水位的動態(tài)監(jiān)測。主要工作及成果包括： 1．通過對扎龍濕地龍泡子研究區(qū)野外實地觀測，GPS定點獲取了共84個觀測點的水深數(shù)據(jù)，并同步測得26個點的高光譜數(shù)據(jù)。其中58個觀測點的水深數(shù)據(jù)用于與遙感影像分析，其他26個觀測點的水深數(shù)據(jù)與實測高光譜數(shù)據(jù)進行分析。 2．利用高分辨率的QuickBird遙感影像與野外實測水深數(shù)據(jù)建立多光譜模型，根據(jù)實測水深值和對應(yīng)影像各波段輻射亮度值以及波段組合的相關(guān)性，選取水深反演因子，建立多光譜水深反演模型，，經(jīng)過驗證和精度分析，將較好的4個模型反演龍泡子的水深。其中線性模型反演效果相對較好，能夠體現(xiàn)出龍泡子中香蒲周邊水深漸變趨勢。 3．以扎龍濕地內(nèi)10個湖泡建立感興趣區(qū)，利用多光譜水深遙感模型對Landsat衛(wèi)星的1988年TM影像、1999年TM影像、2007年ETM影像共三期影像數(shù)據(jù)反演湖泡水深，單波段模型反演結(jié)果差，單一波段建立的模型很難適用于區(qū)域水深反演。由四個波段共同建立的多元線性模型效果較好，水深變化趨勢較明顯。 4．利用野外實測水深與同步測量的高光譜數(shù)據(jù)建立高光譜水深反演模型。與多光譜遙感數(shù)據(jù)相比，高光譜遙感數(shù)據(jù)具有波段多、光譜分辨率高等特點，有效地捕捉到復(fù)雜多變的水體光譜特征的細(xì)微變化。經(jīng)過一階微分處理后，水體光譜反射率與水深的相關(guān)性明顯提高，建立單波段模型和多波段模型，模型擬合度R2最高為0.860，最佳波段為4個。
[Abstract]:There have been rich achievements in remote sensing of water depth in ocean, river and lake, but there are not many researches on water depth of marsh. Wetland plays an important role in maintaining ecological balance. As wetland is affected by human activities, ecological function is destroyed. Water plays a key role in the formation and development of wetland, in order to protect wetland resources. It is very important to grasp the water depth accurately. In this paper, the multi-spectral model is established by using the multi-spectral image data and the measured water depth, taking Zhalong Wetland Dragon Paizi as the main research area. The hyperspectral model was established by using the field measured hyperspectral data and the measured water depth data. The two different models were compared and analyzed, and the rapid inversion of the bubble depth of Zhalong Wetland Lake was attempted by remote sensing. The inversion model of bubble depth in Zhalong Wetland Lake is established to realize the dynamic monitoring of wetland water level. The main work and results are as follows: 1. The data of water depth of 84 observation points were obtained by GPS in Zhalong Wetland Longpaozi Research area. The hyperspectral data of 26 points were measured synchronously, 58 of which were used for remote sensing image analysis, and the other 26 points were used to analyze the water depth data and the measured hyperspectral data. 2. Using high-resolution QuickBird remote sensing images and field measured water depth data to establish a multi-spectral model. According to the correlation between the measured water depth value, the radiance value of the corresponding image and the combination of the bands, the inversion factor of water depth is selected, and a multi-spectral inversion model of water depth is established, which is verified and analyzed accurately. The better four models are used to invert the water depth of the dragon bubble, and the inversion effect of the linear model is relatively good, which can reflect the trend of the gradual change of the water depth around the cattail in the dragon bubble. 3. Ten lake bubbles in Zhalong Wetland were used to establish the region of interest. The TM image of Landsat satellite in 1988 and 1999 was obtained by using multispectral water depth remote sensing model. In 2007, the depth of lake bubble was inversed by three periods of ETM image data, but the inversion result of single band model was poor. The model established in single band is difficult to be applied to regional water depth inversion. The multivariate linear model established by the four bands is effective and the variation trend of water depth is obvious. 4. The hyperspectral water depth inversion model is established by using the hyperspectral data measured in the field and synchronously measured. Compared with the multispectral remote sensing data, the hyperspectral remote sensing data have many bands and high spectral resolution. After the first order differential treatment, the correlation between the spectral reflectivity and the water depth is improved obviously, and the single-band model and the multi-band model are established. The model fitting R2 is 0.860 and the best band is 4.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P237

【參考文獻】

相關(guān)期刊論文 前10條

1 徐升;張鷹;王艷姣;李洪靈;;多光譜遙感在長江口水深探測中的應(yīng)用[J];海洋學(xué)研究;2006年01期

2 孫濤;龐治國;潘世兵;葛德祥;;基于ETM遙感影像的二灘庫區(qū)水深反演研究[J];地理與地理信息科學(xué);2010年04期

3 王晶晶;田慶久;;海岸帶淺海水深高光譜遙感反演方法研究[J];地理科學(xué);2007年06期

4 丁賢榮,張鷹,黃志良;長江口北支水下地形遙感測量研究[J];港口工程;1997年04期

5 張鷹,丁賢榮,王文;水深遙感與潮灘地形沖淤變化分析[J];港口工程;1998年02期

6 邸凱昌,丁謙,陳薇,曹文玉;南沙群島海域淺海水深提取及影像海圖制作技術(shù)[J];國土資源遙感;1999年03期

7 陳一梅,張東生,羅健;內(nèi)河水深遙感的應(yīng)用[J];河海大學(xué)學(xué)報(自然科學(xué)版);2003年02期

8 張鷹,丁賢榮,丁堅;利用RS+GIS量測水深的可能性[J];河海大學(xué)學(xué)報;1997年02期

9 張鷹;水深遙感方法研究[J];河海大學(xué)學(xué)報;1998年06期

10 姜寶玉,劉剛;扎龍濕地生態(tài)環(huán)境問題研究[J];黑龍江環(huán)境通報;2003年01期

相關(guān)博士學(xué)位論文 前1條

1 王艷姣;基于懸浮泥沙影響的水深遙感方法研究[D];南京師范大學(xué);2006年

相關(guān)碩士學(xué)位論文 前4條

1 黃山;基于“3S”技術(shù)的洪泛濕地水深測算模型研究[D];西南大學(xué);2011年

2 舒展;扎龍濕地生態(tài)環(huán)境評價[D];東北林業(yè)大學(xué);2006年

3 陳榮;西洋水域水深可見光遙感反演研究[D];南京師范大學(xué);2008年

4 劉開棘;扎龍濕地水資源利用現(xiàn)狀分析及對策[D];北京交通大學(xué);2008年

本文編號：1460087