首页> 外文会议>Asian conference on remote sensing;ACRS >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:苏拉威西省马罗斯共和国的鱼塘水产养殖清单

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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,鱼塘水产养殖因其利润和沿海社区的生计来源而成为国有投资者的一项有趣业务。鱼塘水产养殖的清单和监测为确定鱼塘的扩大和恢复活力的政策提供了重要的基准数据。这项研究的目的是使用SPOT-4和ALOS PALSAR对南苏拉威西省Maros摄政区的鱼塘区域进行清点和监测。使用最大似然监督分类法和ALOS PALSAR的密度切片法对SPOT图像进行分类。来自SPOT数据的鱼塘面积为9693.58公顷(Ha),该结果是通过地面真实数据的验证和验证过程得出的。 PALSAR的鱼塘面积为7080.5公顷,小于SPOT数据的结果。这是由于PALSAR数据的分类结果显示鱼塘周围的一些对象(堤坝,红树林和灌木丛)是分开的,没有在鱼塘面积计算中合并,而SPOT-4图像分类的结果则是将鱼塘周围的对象合并在一起。

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