季节水分利用分析中的蒸散发估算

B. N. Aryalekshmi, R. C. Biradar, J. Mohammed Ahamed, K. Chandrasekar
{"title":"季节水分利用分析中的蒸散发估算","authors":"B. N. Aryalekshmi, R. C. Biradar, J. Mohammed Ahamed, K. Chandrasekar","doi":"10.1109/ICAECC50550.2020.9339527","DOIUrl":null,"url":null,"abstract":"This paper focuses on estimating Evapotranspiration over the Cauveri river basin in Mandya District of Karnataka, India (12° 31'N, 76°53'E), using LANDSAT-8 satellite data. ET will indicate the amount of water loss from that particular land surface, and in turn, this can be used for water budget analysis. Accurate estimation of evapotranspiration (ET) is essential for the proper water usage analysis. Evapotranspiration estimation using hydrological methods, micro-meteorological methods can only be considered as point measurements for smaller areas. Extrapolation of ET rates over a larger area using point data has limited accuracy. Airborne or satellite images using remote sensing techniques are practical method for developing ET spatial variation at a regional scale. In this paper, we provide an analysis of ET estimation using Landsat-8 data during Jan & Feb 2018 for the identified study area. The reason for choosing this area is that a significant part of the land cover of Mandya district is under agricultural use. We propose Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) - a satellite-based image-processing model for calculating ET as a residual of the surface energy balance. The study indicated that the Normalized Vegetation Index (NDVI) and Land Surface Temperature (LST) are inversely proportional to each other, indicates that as temperature increases, vegetation index decreases.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of Evapotranspiration for Seasonal Water Usage Analysis\",\"authors\":\"B. N. Aryalekshmi, R. C. Biradar, J. Mohammed Ahamed, K. Chandrasekar\",\"doi\":\"10.1109/ICAECC50550.2020.9339527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on estimating Evapotranspiration over the Cauveri river basin in Mandya District of Karnataka, India (12° 31'N, 76°53'E), using LANDSAT-8 satellite data. ET will indicate the amount of water loss from that particular land surface, and in turn, this can be used for water budget analysis. Accurate estimation of evapotranspiration (ET) is essential for the proper water usage analysis. Evapotranspiration estimation using hydrological methods, micro-meteorological methods can only be considered as point measurements for smaller areas. Extrapolation of ET rates over a larger area using point data has limited accuracy. Airborne or satellite images using remote sensing techniques are practical method for developing ET spatial variation at a regional scale. In this paper, we provide an analysis of ET estimation using Landsat-8 data during Jan & Feb 2018 for the identified study area. The reason for choosing this area is that a significant part of the land cover of Mandya district is under agricultural use. We propose Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) - a satellite-based image-processing model for calculating ET as a residual of the surface energy balance. The study indicated that the Normalized Vegetation Index (NDVI) and Land Surface Temperature (LST) are inversely proportional to each other, indicates that as temperature increases, vegetation index decreases.\",\"PeriodicalId\":196343,\"journal\":{\"name\":\"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAECC50550.2020.9339527\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC50550.2020.9339527","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

本文利用LANDSAT-8卫星数据估算了印度卡纳塔克邦Mandya地区Cauveri河流域(12°31′n, 76°53′e)的蒸散量。蒸散发将表明该特定陆地表面的水分损失量,反过来,这可用于水预算分析。准确估算蒸散量对于合理分析水分利用至关重要。利用水文方法、微气象方法估算蒸散量只能被认为是较小区域的点测量。利用点数据外推更大区域的蒸散发率精度有限。利用遥感技术的航空或卫星图像是研究区域尺度ET空间变化的实用方法。在本文中,我们对确定的研究区域进行了2018年1 - 2月Landsat-8数据的ET估算分析。选择这一地区的原因是,Mandya区有很大一部分土地被用于农业用途。我们提出了一种基于卫星的图像处理模型——利用内化校准(METRIC)以高分辨率绘制蒸散发图,用于计算地表能量平衡的剩余ET。研究表明,归一化植被指数(NDVI)与地表温度(LST)呈反比关系,表明随着温度升高,植被指数降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Evapotranspiration for Seasonal Water Usage Analysis
This paper focuses on estimating Evapotranspiration over the Cauveri river basin in Mandya District of Karnataka, India (12° 31'N, 76°53'E), using LANDSAT-8 satellite data. ET will indicate the amount of water loss from that particular land surface, and in turn, this can be used for water budget analysis. Accurate estimation of evapotranspiration (ET) is essential for the proper water usage analysis. Evapotranspiration estimation using hydrological methods, micro-meteorological methods can only be considered as point measurements for smaller areas. Extrapolation of ET rates over a larger area using point data has limited accuracy. Airborne or satellite images using remote sensing techniques are practical method for developing ET spatial variation at a regional scale. In this paper, we provide an analysis of ET estimation using Landsat-8 data during Jan & Feb 2018 for the identified study area. The reason for choosing this area is that a significant part of the land cover of Mandya district is under agricultural use. We propose Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) - a satellite-based image-processing model for calculating ET as a residual of the surface energy balance. The study indicated that the Normalized Vegetation Index (NDVI) and Land Surface Temperature (LST) are inversely proportional to each other, indicates that as temperature increases, vegetation index decreases.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信