Mangrove-based Ecotourism Sustainability Analysis using NDVI and AHP Approach

Y. Singgalen, D. Manongga
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引用次数: 6

Abstract

 This article aims to analyze the sustainability of mangrove ecotourism using the Normalized Difference Vegetation Index (NDVI) and Analytical Hierarchy Process (AHP) approaches. Based on Landsat 8 OLI satellite imagery calculation using the NDVI technique, there has been a decrease in vegetation value on Dodola Island in 2017. This condition needs to be analyzed scientifically, considering the Dodola Island mangrove area to be preserved. In addition to the interests of tourism infrastructure development. The research method used is a mixed research method through a case study approach in Dodola Island, Morotai Island Regency, North Maluku Province, Indonesia. This study adopts remote sensing techniques and decision support systems to describe the results of sustainable mangrove ecotourism analysis. This study indicates that the calculation results of Landsat 8 OLI spatial data from 2013-to 2021 show a significant decrease in vegetation value in 2017, where the maximum NDVI value is 0.30, and the minimum NDVI value is 0.11. Specifically, the mangrove area also experienced a decrease in vegetation value with a maximum NDVI value is 0.23 and a minimum NDVI value is 0.02. To anticipate environmental damage in mangrove areas, this study recommends mangrove conservation programs, namely rehabilitation, restoration, reclamation, and conservation of mangrove areas. In addition, the results of the priority analysis using the AHP approach show that the rehabilitation program is a program that needs to be prioritized because it follows the existing conditions and capabilities of the Dodola Island managers.
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基于NDVI和AHP的红树林生态旅游可持续性分析
本文采用归一化植被指数(NDVI)和层次分析法(AHP)对红树林生态旅游的可持续性进行了分析。基于Landsat 8 OLI卫星影像NDVI技术计算,2017年独斗岛植被值呈下降趋势。考虑到多多拉岛红树林地区需要保护,需要对这种情况进行科学分析。除了旅游利益基础设施的发展。本研究以印度尼西亚北马鲁古省Morotai Island Regency的Dodola岛为研究对象,采用案例研究法,采用混合研究方法。本研究采用遥感技术和决策支持系统来描述红树林可持续生态旅游分析的结果。研究表明,2013- 2021年Landsat 8 OLI空间数据计算结果显示,2017年植被值明显减少,NDVI最大值为0.30,最小值为0.11。红树林植被值也呈现下降趋势,最大NDVI值为0.23,最小NDVI值为0.02。为了预测红树林地区的环境破坏,本研究建议红树林保护计划,即红树林地区的恢复、恢复、开垦和保护。此外,利用AHP方法进行优先级分析的结果表明,由于康复计划遵循了Dodola岛管理人员的现有条件和能力,因此需要优先考虑该计划。
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发文量
20
审稿时长
12 weeks
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