Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland

Nimbus-7 SMMR data at 18 GHz and 37 GHz are applied to studies of snow-covered sea ice and snow-covered terrain in Finland. First the dielectric properties of sea ice, snow, and frozen soils are reviewed. Brightness temperatures are calculated using the radiative transfer model. The theoretical resu...

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Bibliographic Details
Main Author: Hallikainen,M. T.
Other Authors: HELSINKI UNIV OF TECHNOLOGY ESPOO (FINLAND) RADIO LAB
Format: Text
Language:English
Published: 1982
Subjects:
Ice
Online Access:http://www.dtic.mil/docs/citations/ADP002056
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP002056
id ftdtic:ADP002056
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spelling ftdtic:ADP002056 2023-05-15T18:17:16+02:00 Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland Hallikainen,M. T. HELSINKI UNIV OF TECHNOLOGY ESPOO (FINLAND) RADIO LAB 1982-06 text/html http://www.dtic.mil/docs/citations/ADP002056 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP002056 en eng http://www.dtic.mil/docs/citations/ADP002056 APPROVED FOR PUBLIC RELEASE DTIC AND NTIS *Remote systems *Mapping *Snow cover Snow Ice Data acquisition Finland Dielectrics Data processing Scientific satellites Remote detectors Component reports Remote sensing Text 1982 ftdtic 2016-02-19T16:57:41Z Nimbus-7 SMMR data at 18 GHz and 37 GHz are applied to studies of snow-covered sea ice and snow-covered terrain in Finland. First the dielectric properties of sea ice, snow, and frozen soils are reviewed. Brightness temperatures are calculated using the radiative transfer model. The theoretical results show that snow-covered sea ice and snow-covered terrain are practically identical systems. The only major difference is the presence of vegetation in the case of terrain. Using horizontally polarized satellite data in five test areas of mixed surface types in Finland, slopes of the change of TB(18 GHz) - TB(37 GHz) vs. water equivalent of dry snow are derived for pure surface types of forests, boglands farm lands and lakes. A new algorithm to mapping the water equivalent of dry snow is suggested. The theoretical model is used to interpret the satellite data on snow-covered sea ice. This article is from 'Papers Selected for Presentation at the International Symposium on Remote Sensing of Environment (16th) Held at Buenos Aires, Argentina on 2-9 June 1982. Volume 2,' AD-A134 720. p821-830. Text Sea ice Defense Technical Information Center: DTIC Technical Reports database Argentina
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic *Remote systems
*Mapping
*Snow cover
Snow
Ice
Data acquisition
Finland
Dielectrics
Data processing
Scientific satellites
Remote detectors
Component reports
Remote sensing
spellingShingle *Remote systems
*Mapping
*Snow cover
Snow
Ice
Data acquisition
Finland
Dielectrics
Data processing
Scientific satellites
Remote detectors
Component reports
Remote sensing
Hallikainen,M. T.
Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland
topic_facet *Remote systems
*Mapping
*Snow cover
Snow
Ice
Data acquisition
Finland
Dielectrics
Data processing
Scientific satellites
Remote detectors
Component reports
Remote sensing
description Nimbus-7 SMMR data at 18 GHz and 37 GHz are applied to studies of snow-covered sea ice and snow-covered terrain in Finland. First the dielectric properties of sea ice, snow, and frozen soils are reviewed. Brightness temperatures are calculated using the radiative transfer model. The theoretical results show that snow-covered sea ice and snow-covered terrain are practically identical systems. The only major difference is the presence of vegetation in the case of terrain. Using horizontally polarized satellite data in five test areas of mixed surface types in Finland, slopes of the change of TB(18 GHz) - TB(37 GHz) vs. water equivalent of dry snow are derived for pure surface types of forests, boglands farm lands and lakes. A new algorithm to mapping the water equivalent of dry snow is suggested. The theoretical model is used to interpret the satellite data on snow-covered sea ice. This article is from 'Papers Selected for Presentation at the International Symposium on Remote Sensing of Environment (16th) Held at Buenos Aires, Argentina on 2-9 June 1982. Volume 2,' AD-A134 720. p821-830.
author2 HELSINKI UNIV OF TECHNOLOGY ESPOO (FINLAND) RADIO LAB
format Text
author Hallikainen,M. T.
author_facet Hallikainen,M. T.
author_sort Hallikainen,M. T.
title Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland
title_short Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland
title_full Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland
title_fullStr Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland
title_full_unstemmed Remote Sensing of Snow and Ice Using Nimbus-7 SMMR Data over Finland
title_sort remote sensing of snow and ice using nimbus-7 smmr data over finland
publishDate 1982
url http://www.dtic.mil/docs/citations/ADP002056
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP002056
geographic Argentina
geographic_facet Argentina
genre Sea ice
genre_facet Sea ice
op_source DTIC AND NTIS
op_relation http://www.dtic.mil/docs/citations/ADP002056
op_rights APPROVED FOR PUBLIC RELEASE
_version_ 1766191378787729408