Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images

In order to monitor snow-cover dynamics in the Tana River Basin in Northern Fennoscandia, SPOT VEGETATION (VGT) images of the snowmelt seasons of 1998 and 1999 were used to identify snow-covered areas, employing an algorithm that was originally developed for data from the Moderate Resolution Imaging...

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Published in:International Journal of Remote Sensing
Main Authors: Dankers, Rutger, De Jong, Steven M.
Format: Article in Journal/Newspaper
Language:English
Published: 2004
Subjects:
Online Access:https://research.wur.nl/en/publications/monitoring-snow-cover-dynamics-in-northern-fennoscandia-with-spot
https://doi.org/10.1080/01431160310001618374
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spelling ftunivwagenin:oai:library.wur.nl:wurpubs/566634 2024-01-14T10:06:45+01:00 Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images Dankers, Rutger De Jong, Steven M. 2004 text/html https://research.wur.nl/en/publications/monitoring-snow-cover-dynamics-in-northern-fennoscandia-with-spot https://doi.org/10.1080/01431160310001618374 en eng https://edepot.wur.nl/525942 https://research.wur.nl/en/publications/monitoring-snow-cover-dynamics-in-northern-fennoscandia-with-spot doi:10.1080/01431160310001618374 info:eu-repo/semantics/restrictedAccess Wageningen University & Research International Journal of Remote Sensing 25 (2004) 15 ISSN: 0143-1161 Life Science info:eu-repo/semantics/article Article/Letter to editor info:eu-repo/semantics/publishedVersion 2004 ftunivwagenin https://doi.org/10.1080/01431160310001618374 2023-12-20T23:20:04Z In order to monitor snow-cover dynamics in the Tana River Basin in Northern Fennoscandia, SPOT VEGETATION (VGT) images of the snowmelt seasons of 1998 and 1999 were used to identify snow-covered areas, employing an algorithm that was originally developed for data from the Moderate Resolution Imaging Spectroradiometer (MODIS). This algorithm is based on the Normalized Difference Snow Index (NDSI), which usually is calculated from the green and mid-infrared bands. In the absence of a green band, the applicability of this algorithm to VGT data from the red and mid-infrared bands was tested by comparing NDSI values with a corresponding Landsat Thematic Mapper (TM) image. The best agreement was found with slightly lower threshold values for the NDSI. Comparison of the snow-cover estimates also allowed testing of the performance of the NDSI-based algorithm in partially snow-free conditions. By applying the algorithm to ten-day syntheses of VGT images, the moment of snow disappearance could be registered for each 1 × 1 km pixel in the study area. The results were largely consistent with observations at meteorological stations in the area, confirming the effectiveness of VGT images and the algorithm employed in monitoring snow-cover depletion patterns. Article in Journal/Newspaper Fennoscandia Wageningen UR (University & Research Centre): Digital Library Tana River ENVELOPE(28.395,28.395,70.503,70.503) International Journal of Remote Sensing 25 15 2933 2949
institution Open Polar
collection Wageningen UR (University & Research Centre): Digital Library
op_collection_id ftunivwagenin
language English
topic Life Science
spellingShingle Life Science
Dankers, Rutger
De Jong, Steven M.
Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images
topic_facet Life Science
description In order to monitor snow-cover dynamics in the Tana River Basin in Northern Fennoscandia, SPOT VEGETATION (VGT) images of the snowmelt seasons of 1998 and 1999 were used to identify snow-covered areas, employing an algorithm that was originally developed for data from the Moderate Resolution Imaging Spectroradiometer (MODIS). This algorithm is based on the Normalized Difference Snow Index (NDSI), which usually is calculated from the green and mid-infrared bands. In the absence of a green band, the applicability of this algorithm to VGT data from the red and mid-infrared bands was tested by comparing NDSI values with a corresponding Landsat Thematic Mapper (TM) image. The best agreement was found with slightly lower threshold values for the NDSI. Comparison of the snow-cover estimates also allowed testing of the performance of the NDSI-based algorithm in partially snow-free conditions. By applying the algorithm to ten-day syntheses of VGT images, the moment of snow disappearance could be registered for each 1 × 1 km pixel in the study area. The results were largely consistent with observations at meteorological stations in the area, confirming the effectiveness of VGT images and the algorithm employed in monitoring snow-cover depletion patterns.
format Article in Journal/Newspaper
author Dankers, Rutger
De Jong, Steven M.
author_facet Dankers, Rutger
De Jong, Steven M.
author_sort Dankers, Rutger
title Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images
title_short Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images
title_full Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images
title_fullStr Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images
title_full_unstemmed Monitoring snow-cover dynamics in Northern Fennoscandia with SPOT VEGETATION images
title_sort monitoring snow-cover dynamics in northern fennoscandia with spot vegetation images
publishDate 2004
url https://research.wur.nl/en/publications/monitoring-snow-cover-dynamics-in-northern-fennoscandia-with-spot
https://doi.org/10.1080/01431160310001618374
long_lat ENVELOPE(28.395,28.395,70.503,70.503)
geographic Tana River
geographic_facet Tana River
genre Fennoscandia
genre_facet Fennoscandia
op_source International Journal of Remote Sensing 25 (2004) 15
ISSN: 0143-1161
op_relation https://edepot.wur.nl/525942
https://research.wur.nl/en/publications/monitoring-snow-cover-dynamics-in-northern-fennoscandia-with-spot
doi:10.1080/01431160310001618374
op_rights info:eu-repo/semantics/restrictedAccess
Wageningen University & Research
op_doi https://doi.org/10.1080/01431160310001618374
container_title International Journal of Remote Sensing
container_volume 25
container_issue 15
container_start_page 2933
op_container_end_page 2949
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