利用陆地卫星图像监测1997年和2018年巨型盖帽的海洋利用变化

Kadek Ayun Wardimas, I. W. Nuarsa, I. N. W. Putra
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引用次数: 0

摘要

伴随人口高速增长而来的可持续发展进程是造成沿海地区土地非农化的重要因素。土地利用变化分析和规划是沿海资源管理的一种形式,以减少土地破坏,使其能够可持续利用。本研究旨在确定Gianyar reggency沿海地区21年(1998-2018)期间土地利用的类型和变化。本研究还想检验陆地卫星图像在土地利用分类中的准确性水平。本研究中使用的Landsat图像是1998年的Landsat 7 ETM+和2018年的Landsat 8 Oli。选择的分类方法是最大似然法的监督分类。使用的软件是SAGA GIS处理图像和QGIS设计地图布局。结果表明:研究区土地利用类型为水、裸地、居民点和建筑物、灌木/灌木、稻田、沼地和混合花园。1998年至2018年期间,四个类别的面积减少,分别是水域(1.71公顷)、裸地(54.99公顷)、混合花园(28.08公顷)和稻田(226.62公顷)。面积增加的土地利用类型依次为灌木(44.28 ha)、沼地(104.58 ha)、居民点和建筑物(162.54 ha)。土地利用分类的总体准确率为85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring Perubahan Penggunaan Lahan Pesisir di Kabupaten Gianyar Menggunakan Citra Landsat 1997 dan 2018
The sustainable development process followed by high population growth is an important factor causing land conversion in coastal areas. Analysis of change and planning of land use is one form of coastal resource management to reduce land damage so that it can be used sustainably. This study aims to determine the types and changes in land use over 21-year period (1998-2018) in the coastal area of Gianyar Regency. This study also wants to examine the level of accuracy of Landsat imagery in land use classifications. The Landsat imagery used in this study was Landsat 7 ETM+ in 1998 and Landsat 8 Oli in 2018. The classification method chosen was the supervised classification with the Maximum Likelihood method. The software used is SAGA GIS to process images and QGIS to design map layouts. The results showed that the land use classes in the study area were water, bare land, settlements and buildings, shrubs/bushes, rice fields, moor and mixed gardens. In the period 1998-2018, four classes experienced declined in area, namely water (1.71 ha), bare land (54.99 ha), mixed gardens (28.08 ha), and rice fields (226.62 ha). Meanwhile, land use classes that have increased in area are shrubs/bushes (44.28 ha), moor (104.58 ha), and settlements and buildings (162.54 ha). The overall level of accuracy in land use classification is 85%.
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