Pemetaan Habitat Dasar Perairan Dangkal Menggunakan Citra Satelit SPOT-7 di Pulau Nusa Lembongan, Bali

I. D. M. K. P. Astaman, I. Karang, I. Hendrawan, Kuncoro Teguh Setiawan
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Abstract

Shallow water habitat is one of the regions that has high dynamics and has an important role are ecologically and economically. The high dynamics of the ideal shallow water habitat is always followed by updating information so that an overview of the area is obtained in accordance with reality. Remote sensing technology is one of the technologies that can be used for mapping natural resource studies such as mapping of shallow water habitats with the satellite imagery. This study aims to map the distribution of shallow water habitats using SPOT-7 satellite imagery on Nusa Lembongan Island, Bali and test the level of accuracy. The method used true color composite and DII (Depth Invariant Index) transformation and uses the maximum likelihood classification. The classification scheme used 6 classes, namely sand, seagrass, macro algae, rubble, live coral, and dead coral. The results of this study indicate the distribution of shallow water habitat on Nusa Lembongan Island, Bali spread equally based on the level of water depth with a total area of shallow water habitat of 453.41 ha. The results of mapping accuracy test showed the overall accuracy of the DII transformation classification results is better than the composite image classification results with an overall accuracy of 75.43% and a kappa coefficient is 0.71. So from these results can be said that used of a water column correction with the DII method can improve image accuracy in mapping shallow water habitats.
使用SPOT-7卫星图像在巴厘岛Nusa Lembongan岛上设置基准水栖息地
浅水栖息地是一个具有高度动态性的区域,在生态和经济方面发挥着重要作用。理想浅水栖息地的高动态性之后总是更新信息,以便根据实际情况获得该区域的概况。遥感技术是可用于绘制自然资源研究地图的技术之一,例如利用卫星图像绘制浅水栖息地地图。本研究旨在利用SPOT-7卫星图像绘制巴厘岛Nusa Lembongan岛浅水栖息地的分布图,并测试其准确性。该方法使用了真彩色合成和DII(深度不变索引)变换,并使用了最大似然分类。该分类方案使用了6个类别,即沙子、海草、大型藻类、碎石、活珊瑚和死珊瑚。本研究结果表明,巴厘岛Nusa Lembongan岛浅水栖息地的分布基于水深水平平均分布,浅水栖息地总面积为453.41公顷。映射精度测试结果表明,DII变换分类结果的总体精度优于合成图像分类结果,总体精度为75.43%,kappa系数为0.71。因此,从这些结果可以说,在绘制浅水栖息地时,使用DII方法进行水柱校正可以提高图像的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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