Consideration of the stratigraphy of snow cover in modeling its emissivity in the microwave

D. Boyarskii, V. Tikhonov
{"title":"Consideration of the stratigraphy of snow cover in modeling its emissivity in the microwave","authors":"D. Boyarskii, V. Tikhonov","doi":"10.1109/IGARSS.1999.774532","DOIUrl":null,"url":null,"abstract":"Measurements of snow cover emissivity parameters conducted nowadays, show that microwave brightness temperature strongly depends on physical parameters of the snow. The character of such dependence is determined by the stratigraphy of snow cover. Quantitative retrieval of snow cover physical parameters from remotely sensed data calls for an electrodynamic model of snow cover involving stratigraphy in the description of its emissivity. One of the reasons of the disagreement of experimental and theoretical data is the practised averaging of natural stratigraphy of snow cover. The use of snow characteristics averaged over the whole thickness can lead to wrong interpretation of data of remote sensing. In this sense, electrodynamic models of dry snow cover suggested by D. Boyarskii et al. (1993), and considering its structural and stratigraphic properties are more accurate. The main purpose of the present work is to develop a structure dependent model of emissivity of the snow cover. Snow cover is considered a medium consisting of ice and air, in the case of dry snow, and of ice, air and water, in the case of wet snow. Ice and water inclusions are assumed spherical with lognormal size distribution.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.1999.774532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Measurements of snow cover emissivity parameters conducted nowadays, show that microwave brightness temperature strongly depends on physical parameters of the snow. The character of such dependence is determined by the stratigraphy of snow cover. Quantitative retrieval of snow cover physical parameters from remotely sensed data calls for an electrodynamic model of snow cover involving stratigraphy in the description of its emissivity. One of the reasons of the disagreement of experimental and theoretical data is the practised averaging of natural stratigraphy of snow cover. The use of snow characteristics averaged over the whole thickness can lead to wrong interpretation of data of remote sensing. In this sense, electrodynamic models of dry snow cover suggested by D. Boyarskii et al. (1993), and considering its structural and stratigraphic properties are more accurate. The main purpose of the present work is to develop a structure dependent model of emissivity of the snow cover. Snow cover is considered a medium consisting of ice and air, in the case of dry snow, and of ice, air and water, in the case of wet snow. Ice and water inclusions are assumed spherical with lognormal size distribution.
积雪地层学在微波辐射率模拟中的考虑
目前对积雪辐射率参数的测量表明,微波亮度温度在很大程度上取决于积雪的物理参数。这种依赖的特征是由积雪地层学决定的。从遥感数据中定量检索积雪物性参数,需要一个涉及地层学的积雪电动力学模型来描述其发射率。实验数据与理论数据不一致的原因之一是对积雪自然地层学的实际平均。采用全厚度平均积雪特征会导致遥感数据的错误解译。从这个意义上说,D. Boyarskii等人(1993)提出的考虑其构造和地层性质的干积雪电动力学模型更为准确。本文的主要目的是建立积雪辐射率的结构依赖模型。积雪被认为是一种由冰和空气组成的介质,在干雪的情况下,在湿雪的情况下,由冰、空气和水组成。假设冰和水的包裹体为球形,尺寸呈对数正态分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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