三宝垄水灾风险区域分类与植被指数计算

Adenia Kusuma Dayanthi, S. Prasetyo, Charitas Fibriani
{"title":"三宝垄水灾风险区域分类与植被指数计算","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":"{\"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}","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

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
KLASIFIKASI WILAYAH RISIKO BENCANA BANJIR DI KOTA SEMARANG DENGAN PERHITUNGAN INDEKS VEGETASI
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
EVALUASI STATUS KESUBURAN TANAH DI MASA REPLANTING PERKEBUNAN KELAPA SAWIT PADA TANAH MINERAL PROVINSI JAMBI ANALISIS BEBERAPA SIFAT KIMIA TANAH PADA DUA MACAM PENGGUNAAN LAHAN DI SUNGAI KAKAP, KABUPATEN KUBU RAYA, KALIMANTAN BARAT ANALISIS KEMAMPUAN LAHAN PADA SATUAN WILAYAH PENGEMBANGAN DI KOTA AMBON PEMODELAN PREDIKSI KONVERSI PENGGUNAAN LAHAN BERBASIS ANN-CA DI WILAYAH PERI-URBAN KABUPATEN SLEMAN STATUS KESUBURAN TANAH PADA LAHAN SAWAH DILINDUNGI YANG BERALIH FUNGSI DI KAPANEWON SEYEGAN, KABUPATEN SLEMAN, DAERAH ISTIMEWA YOGYAKARTA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1