首页> 外文会议>Asian conference on remote sensingACRS >FISHPOND AQUACULTURE INVENTORY IN MAROS REGENCY OF SOUTH SULAWESI PROVINCE
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FISHPOND AQUACULTURE INVENTORY IN MAROS REGENCY OF SOUTH SULAWESI PROVINCE

机译:南苏拉威西省Maros Regency的Fishpond水产养殖库存

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Nowadays fishpond aquaculture has become an interesting business for state investor because of its profit, and a source of livelihood for coastal communities. Inventory and monitoring of fishpond aquaculture provide important baseline data to determine the policy of expansion and revitalization of the fishpond. The aim of this research was to conduct an inventory and monitoring of fishpond area in Maros regency of South Sulawesi province using SPOT-4 and ALOS PALSAR. SPOT image classification process was performed using maximum likelihood supervised classification method and the density slice method for ALOS PALSAR. Fishpond area from SPOT data is 9693.58 hectares (Ha), this results have been through the process of validation and verification by the ground truth data. The fishponds area from PALSAR is 7080.5 Ha, less then the result from SPOT data. This was due to the classification result of PALSAR data shows some objects around fishponds (dike, mangrove and scrub) separately and not combined in fishponds area calculation, meanwhile the result of SPOT-4 image classification combines object around fishponds area.
机译:如今,Fishpond水产养殖成为国家投资者的有趣业务,因为其利润,以及沿海社区的生计来源。鱼类水产养殖的库存和监测提供了重要的基线数据,以确定渔保件的扩张和振兴的政策。该研究的目的是使用Spot-4和Alos Palsar在南苏拉威西省Maros Regency的鱼塘区进行库存和监测。采用最大似然监控分类方法和Alos Palsar的密度切片方法进行点图像分类过程。来自现货数据的鱼塘区域是9693.58公顷(公顷),这结果是通过地面真理数据验证和验证的过程。来自Palsar的鱼塘区是7080.5公顷,少于现货数据的结果。这是由于波瓦拉数据的分类结果,显示了鱼塘(堤防,红树林和擦洗)周围的一些物体,而不是在鱼塘区的计算中组合,同时Spot-4图像分类的结果将物体组合在鱼塘区周围。

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