基于卫星的MODIS日间云/雪描绘技术。

S. Miller, Thomas F. Lee, R. Fennimore
{"title":"基于卫星的MODIS日间云/雪描绘技术。","authors":"S. Miller, Thomas F. Lee, R. Fennimore","doi":"10.1175/JAM2252.1","DOIUrl":null,"url":null,"abstract":"Abstract This paper presents two multispectral enhancement techniques for distinguishing between regions of cloud and snow cover using optical spectrum passive radiometer satellite observations from the Moderate Resolution Imaging Spectroradiometer (MODIS). Fundamental to the techniques are the 1.6- and 2.2-μm shortwave infrared bands that are useful in distinguishing between absorbing snow cover (having low reflectance) and less absorbing liquid-phase clouds (higher reflectance). The 1.38-μm band helps to overcome ambiguities that arise in the case of optically thin cirrus. Designed to provide straightforward, stand-alone environmental characterization for operational forecasters (e.g., military weather forecasters in the context of mission planning), these products portray the information that is contained within complex scenes as value-added, readily interpretable imagery at the highest available spatial resolution. Their utility in scene characterization and quality control of digital snow maps is dem...","PeriodicalId":15026,"journal":{"name":"Journal of Applied Meteorology","volume":"27 1","pages":"987-997"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Satellite-Based Imagery Techniques for Daytime Cloud/Snow Delineation from MODIS.\",\"authors\":\"S. Miller, Thomas F. Lee, R. Fennimore\",\"doi\":\"10.1175/JAM2252.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper presents two multispectral enhancement techniques for distinguishing between regions of cloud and snow cover using optical spectrum passive radiometer satellite observations from the Moderate Resolution Imaging Spectroradiometer (MODIS). Fundamental to the techniques are the 1.6- and 2.2-μm shortwave infrared bands that are useful in distinguishing between absorbing snow cover (having low reflectance) and less absorbing liquid-phase clouds (higher reflectance). The 1.38-μm band helps to overcome ambiguities that arise in the case of optically thin cirrus. Designed to provide straightforward, stand-alone environmental characterization for operational forecasters (e.g., military weather forecasters in the context of mission planning), these products portray the information that is contained within complex scenes as value-added, readily interpretable imagery at the highest available spatial resolution. Their utility in scene characterization and quality control of digital snow maps is dem...\",\"PeriodicalId\":15026,\"journal\":{\"name\":\"Journal of Applied Meteorology\",\"volume\":\"27 1\",\"pages\":\"987-997\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Meteorology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1175/JAM2252.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Meteorology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1175/JAM2252.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

摘要

摘要利用中分辨率成像光谱仪(MODIS)的光谱被动辐射计卫星观测资料,提出了两种用于云和积雪区域区分的多光谱增强技术。该技术的基础是1.6 μm和2.2 μm短波红外波段,它们有助于区分吸收积雪(具有低反射率)和吸收较少的液相云(具有高反射率)。1.38 μm波段有助于克服光学薄卷云时产生的模糊性。这些产品旨在为业务预报员(例如,任务规划背景下的军事天气预报员)提供简单、独立的环境特征,将复杂场景中包含的信息描绘为增值的、易于解释的、最高可用空间分辨率的图像。它们在数字雪景图的场景刻画和质量控制方面具有重要的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Satellite-Based Imagery Techniques for Daytime Cloud/Snow Delineation from MODIS.
Abstract This paper presents two multispectral enhancement techniques for distinguishing between regions of cloud and snow cover using optical spectrum passive radiometer satellite observations from the Moderate Resolution Imaging Spectroradiometer (MODIS). Fundamental to the techniques are the 1.6- and 2.2-μm shortwave infrared bands that are useful in distinguishing between absorbing snow cover (having low reflectance) and less absorbing liquid-phase clouds (higher reflectance). The 1.38-μm band helps to overcome ambiguities that arise in the case of optically thin cirrus. Designed to provide straightforward, stand-alone environmental characterization for operational forecasters (e.g., military weather forecasters in the context of mission planning), these products portray the information that is contained within complex scenes as value-added, readily interpretable imagery at the highest available spatial resolution. Their utility in scene characterization and quality control of digital snow maps is dem...
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:481959085
Book学术官方微信