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基于印度静止卫星 INSAT数据新疆地区沙尘现象研究
其他题名Dust Research for Xinjiang Region Using Indian National Satellite (INSAT 3A/D) data
邸奥杰
出版年2016
学位类型硕士
导师薛勇
学位授予单位中国科学院大学
中文摘要新疆维吾尔族自治区，坐落于中国西部边陲，内有塔里木盆地和准噶尔盆地，分布着中国最大的沙漠——塔克拉玛干沙漠。这里沙尘暴频发，尤其是在春季。对其沙尘现象的识别和监测对当地人民生活和经济社会发展具有重要的意义。静止卫星是监测沙尘范围和强度，研究沙尘气溶胶和区域气候的理想方式。印度静止卫星INSAT 3A/3D以其30分钟时间分辨率和多波段设置的优点显示了在新疆沙尘现象研究中的独特优势。利用IINSAT 3A/3D卫星数据，本研究主要进行了以下工作。 在目前还没有INSAT 卫星陆地地表气溶胶反演算法的情况下，分别基于INSAT 3A和INSAT 3D卫星波段设置特点，提出了陆地地表下垫面气溶胶光学厚度和气溶胶类型同时反演的改进方法。在高亮沙漠地表的反演试验中，取得的了良好的效果。MODIS Deep-Blue AOD 与INSAT 3A AOD和INSAT 3D AOD的交叉验证线性回归结果为分别为(R2=0.83, RMSE=0.47)和(R2=0.92, RMSE=0.31)。并对INSAT 3D气溶胶类型反演结果与MISR气溶胶类型产品进行了交叉对比分析，两者具有很高的一致性，显示了本研究所提算法的有效性。 通过对INSAT 3D卫星传感器在不同地表下垫面的波谱响应特征的分析，并结合卫星反演得到的AOD，提出了一种新型沙尘指数，Yellow Index。此沙尘指数不仅能够反映沙尘范围分布，还能表征沙尘的强度大小。此沙尘指数在对2014年4月22-24日塔克拉玛干沙漠的一次沙尘事件的分析中，取得了很好地效果。同时，本研究将此沙尘指数在MODIS传感器上也进行了实验，同样取得了良好的效果，与喀什气象站地面能见度数据的线性回归分析结果为：R2=0.62，P<0.0001），表明此沙尘指数能够很好地表征沙尘强度大小。 除此之外，利用INSAT 3D卫星传感器的波谱响应特点，本研究还对阈值法识别沙尘范围分布进行了实验，阈值法在沙尘事件的监测过程中同样表现出了良好的效果，但是阈值法无法表征沙尘强度的大小。
英文摘要The Xinjiang Uyghur Autonomous Region (Xinjiang), located near the west border of China, encompassing Tarim Basin, Junggar Basin and Taklimakan Desert, has a high frequency of dust storms, especially in late winter and early spring. Geostationary satellite remote sensing is an ideal means for monitoring the regional distribution and intensity of dust storms and studying the interaction of dust aerosols with regional climate. Indian National Satellites (INSAT) 3A and 3D show particular advantages for dust aerosol retrieval and dust storm detection for Xinjiang region because it has frequent 30-min temporal observations with multiple bands. There is still no operational AOD retrieval methodology using INSAT 3A/3D data over land surface. We proposed two methodologies for AOD and Aerosol type retrieval using INSAT 3A and INSAT 3D data respectively. The methods performed very well in high-brightness desert surface condition. Cross validations between INSAT-retrieved AOD and MODIS AOD showed a high correlation: (R2=0.83, RMSE=0.47)(R2=0.92, RMSE=0.31). Meanwhile, a cross validation between INSAT 3D-retrieved aerosol type and MSIR aerosol type showed a great coherence. The Aerosol Optical Depth (AOD) and aerosol type derived using six predefined aerosol types revealed a great potential to identify dust events. We analyzed the optical properties of dust and its quantitative relationship with dust storms in Xinjiang during April 2014 area based using INSAT 3D data. Combining the apparent reflectance of visible and short wave infrared bands, brightness temperature of infrared bands and retrieved AOD, we proposed an innovative dust storm index, Yellow Index. It performed very well in measuring the intensity of dust storms between April 22 and 24, 2014. A good exponential correlation was established between in-situ measured visibility and MODIS AOD (R2=0.67). A visual comparison between Yellow Index and FY-2E Infrared Deference Dust Index (IDDI) also shows a high level of similarity. Yellow Index was also applied in MODIS data and also performed well in the dust events. A validation between MODIS Yellow Index and in-situ measured visibility showed a good linear correlation: (R2=0.62,P<0.0001).Besides, we also proposed a threshold method based on the spectral response characteristics of INSAT 3D Imager. This threshold method had a good performance in description the extent of the dust plume as well, but does not provide information on dust plume intensity.
中文关键词沙尘气溶胶 ; 气溶胶光学厚度 ; 气溶胶类型 ; 沙尘检测 ; INSAT 3A/3D ; 地球静止卫星 ; 新疆
英文关键词dust aerosol aerosol optical depth aerosol type dust storm detection INSAT 3A/3D geostationary satellite Xinjian
语种中文
国家中国
来源学科分类信号与信息处理
来源机构中国科学院遥感与数字地球研究所
资源类型学位论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/287812
推荐引用方式
GB/T 7714		 邸奥杰. 基于印度静止卫星 INSAT数据新疆地区沙尘现象研究[D]. 中国科学院大学,2016.
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