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Titel |
Cloud removal methodology from MODIS snow cover product |
VerfasserIn |
A. Gafurov, A. Bárdossy |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 7 ; Nr. 13, no. 7 (2009-07-30), S.1361-1373 |
Datensatznummer |
250011952
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Publikation (Nr.) |
copernicus.org/hess-13-1361-2009.pdf |
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Zusammenfassung |
The Moderate Resolution Imaging Spectroradiometer (MODIS) employed by Terra
and Aqua satellites provides spatially snow covered data with 500 m and
daily temporal resolution. It delivers public domain data in raster format.
The main disadvantage of the MODIS sensor is that it is unable to record
observations under cloud covered regions. This is why this study focuses on
estimating the pixel cover for cloud covered areas where no information is
available. Our step to this product involves employing methodology based on
six successive steps that estimate the pixel cover using different temporal
and spatial information. The study was carried out for the Kokcha River
basin located in northeastern part of Afghanistan. Snow coverage in
catchments, like Kokcha, is very important where the melt-water from snow
dominates the river discharge in vegetation period for irrigation purposes.
Since no snow related observations were available from the region, the
performance of the proposed methodology was tested using the cloud generated
MODIS snow cover data as possible "ground truth" information. The results
show successful performances arising from the methods applied, which
resulted in all cloud coverage being removed. A validation was carried out
for all subsequent steps, to be outlined below, where each step removes
progressively more cloud coverage. Steps 2 to 5 (step 1 was not validated)
performed very well with an average accuracy of between 90–96%, when
applied one after another for the selected valid days in this study. The
sixth step was the least accurate at 78%, but it led to the removal of
all remaining cloud cover. |
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