基于V5.2算法的上海市氣溶膠遙感圖像分析研究
[Abstract]:With the continuous development of economy, the problem of environmental pollution has gradually surfaced. In the past ten years, the problem of environmental pollution has become an important topic that must be raised by the international community. Environmental pollution brings more and more serious harm to human life and physical and mental health, so it is urgent to solve the problem of environmental pollution. As far as China itself is concerned, since the beginning of reform and opening up, China has tried to implement the development strategy of "sustainable development," but the actual situation is not very satisfactory. Serious environmental problems are important factors restricting China's economic development. Therefore, the monitoring and management of environmental problems has become a problem that can not be ignored on the road of China's development. Compared with foreign countries, the monitoring of environmental pollution in China, especially the monitoring of air pollution, started late, the traditional monitoring stations and instruments can no longer meet the variability of air pollution, satellite remote sensing data are extensive. The stability of images and the rapidity of information acquisition have become the main means of air pollution monitoring. The successful launch of Fengyun 1 / 2 and 3 satellites and the successful establishment of three series of remote sensing satellites such as the following resource satellites meteorological satellites and marine satellites also marks the efforts and achievements of our country in the field of satellite remote sensing monitoring of atmospheric pollution. In this paper, using V5.2 algorithm and 6S transmission model as the research method, Shanghai aerosol satellite remote sensing image is retrieved with MODIS L1B data, and the aerosol optical thickness in Shanghai is studied. First of all, this paper will analyze the composition and structure of MODIS L1B data, explain the data source of satellite remote sensing aerosol optical thickness, and briefly introduce the formation mechanism of 6S transmission model, and the V5.2 algorithm. To provide background and data support for follow-up research. Secondly, the feasibility of aerosol optical thickness inversion in Shanghai will be analyzed experimentally. Eight days from 2010 to 2011 will be selected as the data source for AOD inversion, and the inversion values will be compared with AERONET observations. The feasibility of inversion is analyzed in terms of accuracy. Finally, under the condition of the feasibility, the aerosol optical thickness inversion will be carried out by selecting the surrounding cities of Shanghai as the contrast data source, and the spatial correlation of aerosol concentration in Shanghai will be expounded in combination with the inversion value.
【學(xué)位授予單位】:上海大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP751
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 饒玫瑰;苗放;葉成名;董智慧;;6S模型在成都平原氣溶膠光學(xué)厚度反演中的應(yīng)用研究[J];長江大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年08期
2 李成才,毛節(jié)泰,劉啟漢,劉曉陽,劉桂青,朱愛華;利用MODIS光學(xué)厚度遙感產(chǎn)品研究北京及周邊地區(qū)的大氣污染[J];大氣科學(xué);2003年05期
3 任佳;王振會;孫林;胡方超;高揚(yáng);;基于MODIS數(shù)據(jù)反演江浙皖地區(qū)氣溶膠光學(xué)厚度[J];環(huán)境科學(xué)與技術(shù);2010年08期
4 張莉,曾致遠(yuǎn);基于HDF4文件格式的MODIS 1B影像數(shù)據(jù)提取的研究與實(shí)現(xiàn)[J];國土資源遙感;2004年04期
5 許軍強(qiáng);劉嘉宜;邢立新;孫珂;;長春市熱島效應(yīng)的時空演變研究[J];環(huán)境保護(hù)科學(xué);2007年03期
6 王麗娟,景耀全;淺談遙感技術(shù)在大氣監(jiān)測中的應(yīng)用[J];環(huán)境技術(shù);2005年01期
7 楊敏娟;潘小川;;北京市大氣污染與居民心腦血管疾病死亡的時間序列分析[J];環(huán)境與健康雜志;2008年04期
8 王惠,譚兵,沈志云;多源遙感影像的去云層處理[J];測繪學(xué)院學(xué)報(bào);2001年03期
9 趙柏林,俞小鼎;海洋大氣氣溶膠光學(xué)厚度的衛(wèi)星遙感研究[J];科學(xué)通報(bào);1986年21期
10 王新強(qiáng),楊世植,朱永豪,易維寧;基于6S模型從MODIS圖像反演陸地上空大氣氣溶膠光學(xué)厚度[J];量子電子學(xué)報(bào);2003年05期
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