Adenia Kusuma Dayanthi, S. Prasetyo, Charitas Fibriani
{"title":"KLASIFIKASI WILAYAH RISIKO BENCANA BANJIR DI KOTA SEMARANG DENGAN PERHITUNGAN INDEKS VEGETASI","authors":"Adenia Kusuma Dayanthi, S. Prasetyo, Charitas Fibriani","doi":"10.21776/ub.jtsl.2023.010.2.29","DOIUrl":null,"url":null,"abstract":"Land use in an area is influenced by population growth and activities. Changes in land use continuously will cause environmental changes that often trigger an increase in natural disasters. In this study, the assessment was carried out using the calculation of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Wetness Index (NDWI) and Soil Adjusted Vegetation Index (SAVI). The data used came from Landsat OLI 8 imagery data from 2020 to 2023. The results of this study showed that in the range of 2020 to 2023 the changes in the three calculations of the vegetation index were not significant. From the data obtained, the classification for calculations in the rainy and dry seasons was the same, the NDVI vegetation index obtained high vegetation, the SAVI vegetation index obtained forested vegetation, and the NDWI vegetation index obtained high wetness. Overall the assessment of the vegetation index obtained good results, and it can be concluded that not all areas in Semarang City are at risk of flooding, even during the rainy season.","PeriodicalId":413872,"journal":{"name":"Jurnal Tanah dan Sumberdaya Lahan","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Tanah dan Sumberdaya Lahan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21776/ub.jtsl.2023.010.2.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Land use in an area is influenced by population growth and activities. Changes in land use continuously will cause environmental changes that often trigger an increase in natural disasters. In this study, the assessment was carried out using the calculation of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Wetness Index (NDWI) and Soil Adjusted Vegetation Index (SAVI). The data used came from Landsat OLI 8 imagery data from 2020 to 2023. The results of this study showed that in the range of 2020 to 2023 the changes in the three calculations of the vegetation index were not significant. From the data obtained, the classification for calculations in the rainy and dry seasons was the same, the NDVI vegetation index obtained high vegetation, the SAVI vegetation index obtained forested vegetation, and the NDWI vegetation index obtained high wetness. Overall the assessment of the vegetation index obtained good results, and it can be concluded that not all areas in Semarang City are at risk of flooding, even during the rainy season.
一个地区的土地利用受到人口增长和活动的影响。土地利用的持续变化将引起环境变化,而环境变化往往会引发自然灾害的增加。本研究通过计算归一化植被指数(NDVI)、归一化湿度指数(NDWI)和土壤调整植被指数(SAVI)进行评价。使用的数据来自2020年至2023年的Landsat OLI 8图像数据。研究结果表明,在2020 ~ 2023年期间,植被指数的三个计算值变化不显著。从获得的数据来看,在雨季和旱季进行计算的分类是相同的,NDVI植被指数为高植被,SAVI植被指数为森林植被,NDWI植被指数为高湿度。总体而言,植被指数的评估取得了良好的结果,可以得出结论,即使在雨季,三宝垄市并非所有地区都有洪水风险。