首页> 外文会议>30th Asian conference on remote sensing 2009 >THE USE OF HIGH RESOLUTION SATELLITE TO STUDY A CORAL REEF HABITAT AT MANNAI ISLAND, RAYONG PROVINCE, THAILAND
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THE USE OF HIGH RESOLUTION SATELLITE TO STUDY A CORAL REEF HABITAT AT MANNAI ISLAND, RAYONG PROVINCE, THAILAND

机译:利用高分辨率卫星研究泰国罗勇府曼奈岛的珊瑚礁栖息地

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Mannai Island at Rayong province is one of the most popular tourist places in Thailand. The monitoring of marine ecosystem changing in this areas, especially coral reef is very important. The use of high resolution satellite (QuickBird) to study a coral reef habitat at Mannai island is aim to 1) study a proper image processing technique for coral reef mapping, 2) compare image processing technique between Pixel base (A pixel is the smallest unit of a digital image. The term pixel is a contraction of picture element) and Object base (A group of connected pixels in a scene. Each image object represents a definite region in an image. Image objects can provide information about this definite image region) and 3) study a relation between coral group distribution and water depth using high resolution data, dive surveying and Acoustic Doppler Current Profiler (ADCP) which has bottom tracking and GPS connecting.In this study, researchers compared three different atmospheric correction methods that are Dark subtraction using satellite analysis software, Dark reflectance subtraction using Edward 1999's procedure and FLAASH model. The best image quality is derived from FLAASH model. Using FLAASH model, the output image is the sharpest and more flexible to adjust the variables i.e. surface albedo, surface altitude, water vapor column, aerosol and cloud optical depths, surface and atmospheric temperatures. The output image from FLAASH model was classified using two different techniques that are pixel base analysis (Maximum Likelihood) and object base analysis (Nearest Neighbor Classification). The image classification can be divided into four groups which are group of coral, rock, sand and deep water. In order that total accuracy of the pixel base analysis and object base analysis are 81.35% and 85.47% respectively. The most accuracy of pixel base analysis are deep water and rock while the object base analysis are coral and rock.In addition, the distribution of coral group in the shallow zone (0-100 m from the beach) found Zoanthid and sea grass at 1-2 m and 17 groups of coral at 1-7 m depth. The dominant coral groups are Mountain coral, Cauliflower coral, Staghorn coral and Brain coral. In the next zone (150-200 m from the beach) found sand, dead coral and sea fan at 7-10 m depth. The investigation of water quality in the study area is optimum for coral and other living things.
机译:罗勇省曼诺岛是泰国最受欢迎的旅游景点之一。在这个领域改变海洋生态系统的监测,尤其是珊瑚礁非常重要。使用高分辨率卫星(Quickbird)在Mannai岛上研究珊瑚礁栖息地的目标是1)研究珊瑚礁映射的适当图像处理技术,2)比较像素基础之间的图像处理技术(像素是最小的单位一个数字图像。术语像素是图像元素的收缩和对象基座(场景中的一组连接像素。每个图像对象表示图像中的明确区域。图像对象可以提供有关该定形图像区域的信息) 3)使用具有底部跟踪和GPS连接的高分辨率数据,潜水测量和声学多普勒电流分析器(ADCP)研究珊瑚群分布和水深之间的关系。 在这项研究中,研究人员比较了三种不同的大气校正方法,使用卫星分析软件,使用爱德华1999的程序和刹车模型使用卫星分析软件,黑暗反射率减法。最佳的图像质量来自Flaash模型。使用闪烁模型,输出图像是调整变量的最尖锐,更灵活,即表面反照镜,表面高度,水蒸气柱,气溶胶和云光学深度,表面和大气温度。 Flaash模型的输出图像使用两种不同的技术进行分类,这些技术是像素基础分析(最大可能性)和对象基础分析(最近邻分类)。图像分类可分为四组,是珊瑚,岩石,沙子和深水的一组。为了使像素基础分析和对象基础分析的总准确性分别为81.35%和85.47%。像素基础分析的最精确度是深水和岩石,而物体基础分析是珊瑚和岩石。 此外,浅区珊瑚群(距离海滩0-100米)发现Zoanthid和海草在1-2米和17组珊瑚,在1-7米深度。主要的珊瑚群是山珊瑚,花椰菜珊瑚,雄鹿珊瑚和脑珊瑚。在下一个区域(距离海滩150-200米)发现沙子,死珊瑚和海洋风扇,深度为7-10米。研究区域水质调查是珊瑚和其他生物的最佳选择。

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