{"title":"用于干电位识别的双极化SAR波段-C和Landsat 8","authors":"Hikmah Fajar Assidiq, Catur Aries Rokhmana","doi":"10.12962/J24423998.V16I2.8581","DOIUrl":null,"url":null,"abstract":"Drought is a disastrous and complex disaster that can cause material and immaterial losses. The drought in Indonesia is categorized by several types including Agricultural Drought, Meteorological Drought, and Hydrological Drought. Agricultural drought is a condition where there is a decrease in water content in the soil. These conditions will have an impact on vegetation and / or land cover so preventive action is needed. Preventive action is carried out quickly, effectively and efficiently so that an approach with a dynamic pattern is needed. The dynamic pattern approach is done by a method that can be done any time. The use of Active Sensor remote sensing can perform monitoring at any time and dynamically. One of the satellites with radar sensors is Sentinel 1A. Sentinel 1A has a C band wave. Polarization in the Sentinel-1 image has a dual-pol form consisting of VV and VH or HH and HV. The Polarization combination has the potential to measure drought. The method that can be used is the Vegetation Radar Index. The radar vegetation index is developed from the NDVI algorithm. The RVI Drought Classification is made by maintaining the relationship between the NDVI Landsat 8 results and the RVI results. This study aims to examine the use of SAR data for drought identification with the relationship between Dual Polametric SAR Band C and Landsat 8. The results explain that NDVI has a coefficient of determination with an RVI of 0.2981 Kata kunci: kekeringan; RVI; Sentinel 1A Cara untuk sitasi: Assidiq, H.F., & Rokhmana, C.A. (2021). Hubungan Dual Polametric SAR Band – C dan Landsat 8 untuk Identifikasi Potensi Kekeringan. Geoid, 16(2), 248 258.","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hubungan Dual Polametric SAR Band – C dan Landsat 8 untuk Identifikasi Potensi Kekeringan\",\"authors\":\"Hikmah Fajar Assidiq, Catur Aries Rokhmana\",\"doi\":\"10.12962/J24423998.V16I2.8581\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drought is a disastrous and complex disaster that can cause material and immaterial losses. The drought in Indonesia is categorized by several types including Agricultural Drought, Meteorological Drought, and Hydrological Drought. Agricultural drought is a condition where there is a decrease in water content in the soil. These conditions will have an impact on vegetation and / or land cover so preventive action is needed. Preventive action is carried out quickly, effectively and efficiently so that an approach with a dynamic pattern is needed. The dynamic pattern approach is done by a method that can be done any time. The use of Active Sensor remote sensing can perform monitoring at any time and dynamically. One of the satellites with radar sensors is Sentinel 1A. Sentinel 1A has a C band wave. Polarization in the Sentinel-1 image has a dual-pol form consisting of VV and VH or HH and HV. The Polarization combination has the potential to measure drought. The method that can be used is the Vegetation Radar Index. The radar vegetation index is developed from the NDVI algorithm. The RVI Drought Classification is made by maintaining the relationship between the NDVI Landsat 8 results and the RVI results. This study aims to examine the use of SAR data for drought identification with the relationship between Dual Polametric SAR Band C and Landsat 8. The results explain that NDVI has a coefficient of determination with an RVI of 0.2981 Kata kunci: kekeringan; RVI; Sentinel 1A Cara untuk sitasi: Assidiq, H.F., & Rokhmana, C.A. (2021). Hubungan Dual Polametric SAR Band – C dan Landsat 8 untuk Identifikasi Potensi Kekeringan. 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引用次数: 0
摘要
干旱是一种灾难性的复杂灾害,可造成物质和非物质损失。印尼的干旱可分为农业干旱、气象干旱和水文干旱等几种类型。农业干旱是土壤中含水量减少的一种情况。这些情况将对植被和/或土地覆盖产生影响,因此需要采取预防行动。迅速、有效和高效率地开展预防行动,因此需要一种动态模式的办法。动态模式方法是通过一种可以随时执行的方法来完成的。利用有源遥感技术可以随时进行动态监测。其中一颗带有雷达传感器的卫星是哨兵1A。哨兵1A有C波段波。Sentinel-1图像的偏振是由VV和VH或HH和HV组成的双极化形式。极化组合具有测量干旱的潜力。可采用的方法是植被雷达指数。雷达植被指数是在NDVI算法的基础上发展起来的。RVI干旱分类是通过维持NDVI Landsat 8结果与RVI结果之间的关系进行的。本研究旨在通过双偏振SAR波段C与Landsat 8之间的关系,研究SAR数据在干旱识别中的应用。结果表明,NDVI具有决定系数,RVI为0.2981;RVI;《哨兵》1 . Cara untuk sitasi: Assidiq, H.F, & Rokhmana, C.A.(2021)。呼和浩安双偏振SAR波段C与陆地卫星8卫星识别。大地水准面,16(2),248 - 258。
Hubungan Dual Polametric SAR Band – C dan Landsat 8 untuk Identifikasi Potensi Kekeringan
Drought is a disastrous and complex disaster that can cause material and immaterial losses. The drought in Indonesia is categorized by several types including Agricultural Drought, Meteorological Drought, and Hydrological Drought. Agricultural drought is a condition where there is a decrease in water content in the soil. These conditions will have an impact on vegetation and / or land cover so preventive action is needed. Preventive action is carried out quickly, effectively and efficiently so that an approach with a dynamic pattern is needed. The dynamic pattern approach is done by a method that can be done any time. The use of Active Sensor remote sensing can perform monitoring at any time and dynamically. One of the satellites with radar sensors is Sentinel 1A. Sentinel 1A has a C band wave. Polarization in the Sentinel-1 image has a dual-pol form consisting of VV and VH or HH and HV. The Polarization combination has the potential to measure drought. The method that can be used is the Vegetation Radar Index. The radar vegetation index is developed from the NDVI algorithm. The RVI Drought Classification is made by maintaining the relationship between the NDVI Landsat 8 results and the RVI results. This study aims to examine the use of SAR data for drought identification with the relationship between Dual Polametric SAR Band C and Landsat 8. The results explain that NDVI has a coefficient of determination with an RVI of 0.2981 Kata kunci: kekeringan; RVI; Sentinel 1A Cara untuk sitasi: Assidiq, H.F., & Rokhmana, C.A. (2021). Hubungan Dual Polametric SAR Band – C dan Landsat 8 untuk Identifikasi Potensi Kekeringan. Geoid, 16(2), 248 258.