CCPortal
DOI10.1016/j.jag.2019.02.012
Automated surface energy balance algorithm for land (ASEBAL) based on automating endmember pixel selection for evapotranspiration calculation in MODIS orbital images
Silva A.M.; da Silva R.M.; Santos C.A.G.
发表日期2019
ISSN15698432
起始页码1
结束页码11
卷号79
英文摘要Evapotranspiration (ET) is a fundamental phenomenon within terrestrial system processes that involves water on land and in the atmosphere. ET is one of the main components of energy production on Earth, and it controls the water balance. The determination of ET is very complex and requires an experienced modeler and a substantial number of working hours. Thus, we present a novel algorithm called the automated surface energy balance algorithm for land (ASEBAL) to automate the application of all stages of the surface energy balance algorithm for land (SEBAL) to estimate ET from a long time series of MODIS orbital images. In this study, ASEBAL was applied to automate the endmember pixel selection and estimation of ET for 282 images of the Ipanema River Basin, which is located in a semiarid area of Brazil. The mean execution time was 3 min for each image, with the mean daily ET ranging from 1.63 mm day −1 to 6.22 mm day −1 , presenting a mean ET of 3.86 mm day −1 and a standard deviation of 0.97 mm day −1 . The comparison between the manual and automated selections of the endmember pixels performed in 37 images showed an average difference of 7% in the values of the selected pixels. A mean difference of 0.28 mm between the manual and automatic ET estimates was observed. In addition, a pixel-by-pixel comparison yielded an average R² of 0.82. The proposed automated pixel selection procedure remarkably reduced the execution time and eliminated the possibility of human error. Thus, ASEBAL was shown to be an efficient tool for applications with many images and was also shown to be a less complex task, with lower error incidences and much shorter execution time than the traditional method used to apply the algorithm. © 2019 Elsevier B.V.
英文关键词Anchor pixel; Automation; Energy balance; SEBAL
语种英语
scopus关键词algorithm; automation; computer simulation; energy balance; evapotranspiration; MODIS; numerical model; pixel; satellite imagery; semiarid region; surface energy; Brazil; Ipanema Basin; Ipanema
来源期刊International Journal of Applied Earth Observation and Geoinformation
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156462
作者单位Federal University of Paraíba, Department of Geosciences, João Pessoa, PB, Brazil; Federal University of Paraíba, Department of Civil and Environmental EngineeringPB, Brazil
推荐引用方式
GB/T 7714
Silva A.M.,da Silva R.M.,Santos C.A.G.. Automated surface energy balance algorithm for land (ASEBAL) based on automating endmember pixel selection for evapotranspiration calculation in MODIS orbital images[J],2019,79.
APA Silva A.M.,da Silva R.M.,&Santos C.A.G..(2019).Automated surface energy balance algorithm for land (ASEBAL) based on automating endmember pixel selection for evapotranspiration calculation in MODIS orbital images.International Journal of Applied Earth Observation and Geoinformation,79.
MLA Silva A.M.,et al."Automated surface energy balance algorithm for land (ASEBAL) based on automating endmember pixel selection for evapotranspiration calculation in MODIS orbital images".International Journal of Applied Earth Observation and Geoinformation 79(2019).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Silva A.M.]的文章
[da Silva R.M.]的文章
[Santos C.A.G.]的文章
百度学术
百度学术中相似的文章
[Silva A.M.]的文章
[da Silva R.M.]的文章
[Santos C.A.G.]的文章
必应学术
必应学术中相似的文章
[Silva A.M.]的文章
[da Silva R.M.]的文章
[Santos C.A.G.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。