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首页> 外文会议>Conference on Optical Pattern Recognition >LAND COVER MAPPING AFTER THE TSUNAMI EVENT OVER NANGGROE ACEH DARUSSALAM (NAD) PROVINCE, INDONESIA
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LAND COVER MAPPING AFTER THE TSUNAMI EVENT OVER NANGGROE ACEH DARUSSALAM (NAD) PROVINCE, INDONESIA

机译：印度尼西亚南格里·阿塞·达萨萨拉姆（NAD）海啸事件发生后的土地覆被映射

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摘要

Remote sensing offers an important means of detecting and analyzing temporal changes occurring in our landscape. This research used remote sensing to quantify land use/land cover changes at the Nanggroe Aceh Darussalam (Nad) province, Indonesia on a regional scale. The objective of this paper is to assess the changed produced from the analysis of Landsat TM data. A Landsat TM image was used to develop land cover classification map for the 27 March 2005. Four supervised classifications techniques (Maximum Likelihood, Minimum Distance-to-Mean, Parallelepiped and Parallelepiped with Maximum Likelihood Classifier Tiebreaker classifier) were performed to the satellite image. Training sites and accuracy assessment were needed for supervised classification techniques. The training sites were established using polygons based on the colour image. High detection accuracy (>80%) and overall Kappa (>0.80) were achieved by the Parallelepiped with Maximum Likelihood Classifier Tiebreaker classifier in this study. This preliminary study has produced a promising result. This indicates that land cover mapping can be carried out using remote sensing classification method of the satellite digital imagery.
机译：遥感提供了一种检测和分析景观中时间变化的重要手段。这项研究使用遥感技术来量化印度尼西亚Nanggroe Aceh Darussalam（Nad）省在区域范围内的土地利用/土地覆盖变化。本文的目的是评估Landsat TM数据分析产生的变化。使用Landsat TM影像绘制了2005年3月27日的土地覆盖分类图。对卫星影像进行了四种监督分类技术（最大似然法，最小平均距离，平行六面体和具有最大似然法分类器Tiebreaker分类器的平行六面体）。监督分类技术需要培训地点和准确性评估。使用基于彩色图像的多边形来建立训练站点。在这项研究中，具有最大似然分类器Tiebreaker分类器的平行六面体实现了高检测精度（> 80％）和总Kappa（> 0.80）。这项初步研究产生了可喜的结果。这表明可以使用卫星数字图像的遥感分类方法来进行土地覆盖制图。

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