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NEARSHORE FISHERIES ZONING ANALYSIS IN THE NEGROS ISLAND REGION

机译:黑人岛地区近岸渔业区划分析分析

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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:菲律宾西部的黑人岛是菲律宾的地区之一,富含陆地水产养殖和近岸鱼腐蚀。 Negros岛由Negros Occidental和Negros东方组成,分别为沿海地区的548.95公里323.63 KM2。本研究的第一部分是利用基于对象的图像分析提取Negros的近岸鱼腐蚀。数字地形模型(DTM)用于将来自陆地的水体分离,而LIDAR的数字表面模型(DSM)用于创建包括凹陷和坡度斜坡的分类衍生物。进行主成分分析(PCA)以降低DSM的冗余,坡度的斜率和粗糙度。基于Negros occidental中提取的特征的加权属性,特征提取之后是初始适用性分析。该属性用于重新分类距离和深度。欧几里德距离在港口,海洋保护区,珊瑚礁地点和其他监测位点的周围地区进行。通过使用叶绿素-A数据,还考虑了水体的承载能力。然后,每个数据集重新分类,其重量分配给更合适的条件,具体取决于标准。然后将加权覆盖分析应用于不同的栅格,以便到达适用性光栅。栅格中包含的值与托管鱼腐蚀的区域的适用性成正比。然后将整个过程应用于黑人岛的整个沿海地区,成功分类合适的网站。当网站选择组件将用于确定近岸渔业的适用区域时,该特征提取组件对鱼类腐蚀的监测有所意义。

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