MONITORING COASTAL AREAS USING NDWI FROM LANDSAT IMAGE DATA FROM 1985 BASED ON CLOUD COMPUTATION GOOGLE EARTH ENGINE AND APPS

Q2 Social Sciences
Kalingga Titon, Nur Ihsan, A. B. Harto, Dimara Sakti, K. Wikantika
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引用次数: 0

Abstract

Abstract. The coastal area is an area that has a dense population with a lot of human activities that occur there. Due to environmental changes and human activities, changes often occur in coastal areas ranging from erosion and sedimentation. Changes must continuously be monitored to plan countermeasures due to the occurring phenomena. This study aims to create a website-based application to monitor coastal areas. This study will use Landsat data 5,7,8, and 9 to see changes in coastal areas. The analysis can be provided from 1985 until recent data by integrating four Landsat satellites. The NDWI index (Normalized Difference Wetness Index) analyzes changes occurring in coastal areas and differentiates between water and land area. The analysis is not only in the form of changes that occur in coastal areas but also in time series analysis, and trends that occur at a point can be analyzed using land trend analysis. The resulting website based on Cloud Computation in Google Earth Engine can be seen at the link https://bit.ly/MonitoringPesisir. This website can automatically update, and users can choose the location to monitor. This research is expected to be used by policymakers to monitor and plan the development and regulation of coastal areas.
基于云计算谷歌地球引擎和应用程序,利用1985年以来陆地卫星图像数据的ndwi监测沿海地区
摘要沿海地区是一个人口密集的地区,人类活动在那里频繁发生。由于环境变化和人类活动,沿海地区经常发生从侵蚀到沉积的变化。由于发生的现象,必须持续监控变更,以计划对策。本研究旨在创建一个基于网站的应用程序来监测沿海地区。这项研究将使用陆地卫星数据5、7、8和9来观察沿海地区的变化。通过综合四颗陆地卫星,可以提供从1985年到最近的数据的分析。NDWI指数(归一化差异湿度指数)分析沿海地区发生的变化,并区分水域和陆地区域。分析的形式不仅包括沿海地区发生的变化,还包括时间序列分析,并且可以使用陆地趋势分析来分析某一点上发生的趋势。基于谷歌地球引擎中的云计算的最终网站可以在链接https://bit.ly/MonitoringPesisir上看到。这个网站可以自动更新,用户可以选择监控的位置。这项研究有望被决策者用于监测和规划沿海地区的发展和管理。
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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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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