多时相卫星数据在东爪哇巴哇岛土地覆盖制图中的应用

Z. Hidayah, H. Armono, M. Wardhani, Dwi Budi Wiyanto
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引用次数: 1

摘要

基于多时相图像分析的地理信息系统(GIS)方法可以确定小岛屿的土地覆盖动态。本研究旨在对巴威岛的主要土地覆盖类型进行分类,并绘制巴威岛土地覆盖变化图。本研究使用了两组10米分辨率的卫星数据ALOS AVNIR(2010)和Sentinel-2A(2020)。卫星图像分析分为几个阶段进行,即图像预处理,包括辐射和几何校正、监督图像分类和精度测试。2010年至2020年的图像分类结果显示,巴威登岛的土地覆盖发生了显著变化。森林植被覆盖面积从2010年的13470.5公顷大幅下降到2020年的8543.4公顷。大部分地区已被改造成稻田和建成区。准确性测试和验证是通过将2020年Sentinel图像分类结果与2021年进行的实地观察进行比较来确定的。分析结果良好,总体准确率为82.52%,Kappa系数为79.66。进一步调查发现,由于农业和基础设施的发展,巴威登岛的土地覆盖发生了变化。关键词:地理信息系统;土地覆盖;卫星图像;小岛屿版权所有(c)2022 Geosfera Indonesia和詹伯大学地理教育系本作品根据知识共享署名共享类似4.0的国际许可证获得许可
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Multi Temporal Satellite Data For Land Cover Mapping of Bawean Island, East Java
Land cover dynamics in a small island can be determined using Geographic Information System (GIS) approach based on multitemporal image analysis. This study aimed to classify major land cover types and to map land cover changes of Bawean Island. Two sets of 10 meter resolution satellite data ALOS AVNIR (2010) and Sentinel-2A (2020) were used in this study. Satellite image analysis was carried out through several stages namely image pre-processing including radiometric and geometric correction, supervised image classification and accuracy test. Image classification results from 2010 to 2020 showed a significant change in land cover on Bawean Island. The forest vegetation land cover declined significantly from 13,470.5 Ha in 2010 to 8,543.4 Ha in 2020. Most of the area have been converted into paddy fields and built-up areas. The accuracy test and validation were determined by comparing the 2020 Sentinel image classification results with field observation conducted in 2021. The analysis showed good results with 82.52% overall accuracy and 79.66 Kappa coefficient. Further investigation found that changes in land cover on Bawean Island occured due to the agriculture and infrastucture development. Keywords : Geographic Information System (GIS); land cover; satellite images; small island   Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
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