The impact of nickel mining on vegetation index in Molawe Sub-district, North Konawe District, Southeast Sulawesi, Indonesia

Q2 Agricultural and Biological Sciences Biodiversitas Pub Date : 2023-09-02 DOI:10.13057/biodiv/d240840
MOHAMMAD AFDHAL ADIDHARMA, SUPRIATNA SUPRIATNA, NOVERITA DIAN TAKARINA
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Abstract

Abstract. Adidharma MA, Supriatna, Takarina ND. 2023. The impact of nickel mining on vegetation index in Molawe Sub-district, North Konawe District, Southeast Sulawesi, Indonesia. Biodiversitas 24: 4581-4588. Nickel mining activities in Molawe Sub-district, North Konawe District, Southeast Sulawesi, Indonesia have modified the land cover structure over time due to increased mining exploitation zones. This study intends to assess changes in land cover in the Molawe Sub-district, particularly around mining regions. The NDVI index was applied to Landsat 7 ETM+ satellite imagery data in 2001 to identify land cover conditions before mining activities, then to Landsat 8 OLI imagery data in 2015 and 2020 to identify land cover after mining activities. These data are then used to compute annual changes in the extent of each land cover. The NDVI classification produces four land cover types: non-vegetation, open soil, sparse vegetation, and moderate vegetation. The study shows that non-vegetation and open ground cover types experienced a significant increase in area from 2001 to 2015 and from 2015 to 2020. Meanwhile, sparse vegetation forest cover experienced a reduction in area from 2001 to 2015 and 2015 to 2020. In contrast to sparse vegetation, the moderate vegetation cover is experiencing a minor increase in area. Based on these results, relevant policymakers need to formulate policies to mitigate environmental impacts that may arise in the future.
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镍矿开采对印尼苏拉威西岛东南部北科纳威区Molawe街道植被指数的影响
摘要addharma MA, Supriatna, Takarina ND。2023. 镍矿开采对印尼苏拉威西岛东南部北科纳威区Molawe街道植被指数的影响生物多样性24:4581-4588。随着时间的推移,由于采矿开采区域的增加,印度尼西亚苏拉威西岛东南部北科纳威区Molawe街道的镍矿开采活动改变了土地覆盖结构。这项研究旨在评估Molawe分区,特别是矿区周围土地覆盖的变化。将NDVI指数应用于2001年的Landsat 7 ETM+卫星影像数据,用于识别采矿活动前的土地覆盖状况,然后应用于2015年和2020年的Landsat 8 OLI影像数据,用于识别采矿活动后的土地覆盖状况。然后利用这些数据计算每片土地覆盖范围的年变化。NDVI分类产生了四种土地覆盖类型:非植被、开阔土壤、稀疏植被和中等植被。研究表明,2001 - 2015年和2015 - 2020年,非植被和开放地被类型的面积均显著增加。同时,2001 - 2015年和2015 - 2020年,稀疏植被森林覆盖面积呈减少趋势。与稀疏植被相比,中等植被覆盖面积略有增加。基于这些结果,相关决策者需要制定政策来减轻未来可能出现的环境影响。
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来源期刊
Biodiversitas
Biodiversitas Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
2.80
自引率
0.00%
发文量
471
审稿时长
6 weeks
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