Aland Edbert Manurung, H. Balzter, F. Espírito-Santo
{"title":"基于多遥感数据的北阿坎德邦Terai地区干旱分析","authors":"Aland Edbert Manurung, H. Balzter, F. Espírito-Santo","doi":"10.1109/ICARES56907.2022.9993609","DOIUrl":null,"url":null,"abstract":"With developments in remotely sensed imageries, nowadays satellite images provide more narrow wavelength bands in higher resolution and frequent revisit time such as Sentinel-2. Sentinel-2 can be used to generate Normalized Difference Water Index (NDWI) which explains the water or moisture content of the object of interest. In this study, ERA5-Land total precipitation data and Sentinel-1 SAR C-band were also used to assess drought that happened in Terai Region around Uttarakhand in 2021. Study area is divided into three study sites: Lower Terai, Reservoir, and Hilly Area to accommodate three different landscape condition. The results show that NDWI values fluctuates between 0.25 to -0.05 around croplands but not in the densely vegetated area. Also, the changes in NDWI values around Lower Terai follow the trend in the Hilly Area but not the Reservoir. The results from three remotely sensed data also show that the minimum NDWI value was captured around November to December 2021 in Lower Terai and Hilly Area, while in Reservoir area it was in September. Overall, the three datasets had shown the ability to detect changes in moisture and water in Terai region, Uttarakhand.","PeriodicalId":252801,"journal":{"name":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Drought at Terai Regions in Uttarakhand using Multiple Remotely Sensed Data\",\"authors\":\"Aland Edbert Manurung, H. Balzter, F. Espírito-Santo\",\"doi\":\"10.1109/ICARES56907.2022.9993609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With developments in remotely sensed imageries, nowadays satellite images provide more narrow wavelength bands in higher resolution and frequent revisit time such as Sentinel-2. Sentinel-2 can be used to generate Normalized Difference Water Index (NDWI) which explains the water or moisture content of the object of interest. In this study, ERA5-Land total precipitation data and Sentinel-1 SAR C-band were also used to assess drought that happened in Terai Region around Uttarakhand in 2021. Study area is divided into three study sites: Lower Terai, Reservoir, and Hilly Area to accommodate three different landscape condition. The results show that NDWI values fluctuates between 0.25 to -0.05 around croplands but not in the densely vegetated area. Also, the changes in NDWI values around Lower Terai follow the trend in the Hilly Area but not the Reservoir. The results from three remotely sensed data also show that the minimum NDWI value was captured around November to December 2021 in Lower Terai and Hilly Area, while in Reservoir area it was in September. Overall, the three datasets had shown the ability to detect changes in moisture and water in Terai region, Uttarakhand.\",\"PeriodicalId\":252801,\"journal\":{\"name\":\"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARES56907.2022.9993609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARES56907.2022.9993609","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
随着遥感影像技术的发展,卫星影像提供了更窄的波段、更高的分辨率和更频繁的重访时间,例如Sentinel-2。Sentinel-2可用于生成归一化差水指数(NDWI),该指数解释了感兴趣对象的水或水分含量。本研究还利用ERA5-Land总降水数据和Sentinel-1 SAR c波段对2021年北阿坎德邦Terai地区发生的干旱进行了评估。研究区分为三个研究地点:下寺井区、水库区和丘陵区,以适应三种不同的景观条件。结果表明:农田周边NDWI值在0.25 ~ -0.05之间波动,植被密集区NDWI值波动较小;此外,下寺井周围的NDWI值的变化遵循丘陵区的趋势,而不是水库。3个遥感数据的结果也表明,下寺井和丘陵地区的NDWI最小值在2021年11月至12月左右,而库区的NDWI最小值在9月。总的来说,这三个数据集显示了探测北阿坎德邦Terai地区湿度和水变化的能力。
Analysis of Drought at Terai Regions in Uttarakhand using Multiple Remotely Sensed Data
With developments in remotely sensed imageries, nowadays satellite images provide more narrow wavelength bands in higher resolution and frequent revisit time such as Sentinel-2. Sentinel-2 can be used to generate Normalized Difference Water Index (NDWI) which explains the water or moisture content of the object of interest. In this study, ERA5-Land total precipitation data and Sentinel-1 SAR C-band were also used to assess drought that happened in Terai Region around Uttarakhand in 2021. Study area is divided into three study sites: Lower Terai, Reservoir, and Hilly Area to accommodate three different landscape condition. The results show that NDWI values fluctuates between 0.25 to -0.05 around croplands but not in the densely vegetated area. Also, the changes in NDWI values around Lower Terai follow the trend in the Hilly Area but not the Reservoir. The results from three remotely sensed data also show that the minimum NDWI value was captured around November to December 2021 in Lower Terai and Hilly Area, while in Reservoir area it was in September. Overall, the three datasets had shown the ability to detect changes in moisture and water in Terai region, Uttarakhand.