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首页> 外文会议>Asian conference on remote sensing;ACRS >NEARSHORE FISHERIES ZONING ANALYSIS IN THE NEGROS ISLAND REGION
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NEARSHORE FISHERIES ZONING ANALYSIS IN THE NEGROS ISLAND REGION

机译：NEGROS岛地区近海渔业区划分析

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The Negros Island in Western Philippines is one of the regions in the Philippines that are rich in both land-based aquaculture and nearshore fish corrals. Negros Island is composed of Negros Occidental and Negros Oriental with 548.95 km2 323.63 km2, respectively of coastal area. The first part of this study was the extraction of the nearshore fish corrals In Negros Occidental using Object Based Image Analysis. The Digital Terrain Model (DTM) was used in separating water bodies from land while the Digital Surface Model (DSM) from LiDAR was used in creating the derivatives for classification which include rugosity and slope of slope. Principal Component Analysis (PCA) was performed to reduce the redundancy across DSM, slope of slope and rugosity. The feature extraction was followed by an initial suitability analysis based on weighted attributes of the extracted features in Negros Occidental. The attributes were used to reclassify the distance and depth. Euclidean distance was conducted around the surrounding area of ports, marine protected areas, reef locations and other monitored sites. The carrying capacity of the bodies of water was also considered by using the chlorophyll-a data. Each of the datasets was then reclassified with higher weights assigned to more suitable conditions depending on the criterion. A weighted overlay analysis was then applied to the different rasters in order to arrive at a suitability raster. The values contained in the raster are directly proportional to the suitability of the area in hosting the fish corrals. The whole process was then applied to the whole coastal area of Negros Island, successfully classifying suitable sites. The feature extraction component has implication on the monitoring of fish corrals when it comes to checking the correct positioning and distancing from other nearshore fisheries features and services like navigation while the site selection component will be used for determining suitable areas for the nearshore fisheries.
机译：菲律宾西部的内格罗斯岛（Negros Island）是菲律宾境内陆生水产养殖和近岸鱼类畜栏资源丰富的地区之一。内格罗斯岛（Negros Island）由西方黑人（Negros Occidental）和东方黑人（Negros Oriental）组成，沿海面积分别为548.95 km2 323.63 km2。这项研究的第一部分是使用基于对象的图像分析提取内格罗斯西部近岸鱼的畜栏。数字地形模型（DTM）用于将水体与陆地分离，而LiDAR的数字表面模型（DSM）用于创建派生类进行分类，包括粗糙度和坡度。进行主成分分析（PCA）可以减少DSM的冗余度，斜率斜率和皱纹度。在特征提取之后，进行了基于Negros Occidental中所提取特征的加权属性的初始适用性分析。这些属性用于重新分类距离和深度。欧几里得距离是在港口周围区域，海洋保护区，礁石位置和其他监测地点周围进行的。还使用叶绿素-a数据考虑了水体的承载能力。然后根据标准将每个数据集重新分配较高的权重，以分配给更合适的条件。然后将加权叠加分析应用于不同的栅格，以得出适用性栅格。栅格中包含的值与该区域在容纳鱼栏中的适用性成正比。然后将整个过程应用于内格罗斯岛的整个沿海地区，成功地对合适的地点进行了分类。当要检查正确的位置和与其他近岸渔业特征和服务（例如导航）之间的距离时，特征提取组件将对鱼类围栏的监视产生影响，而站点选择组件将用于确定近岸渔业的合适区域。

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