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| Titel |
Reducing cloud obscuration of MODIS snow cover area products by combining spatio-temporal techniques with a probability of snow approach |
| VerfasserIn |
V. López-Burgos, H. V. Gupta, M. Clark |
| 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 ; 17, no. 5 ; Nr. 17, no. 5 (2013-05-13), S.1809-1823 |
| Datensatznummer |
250018873
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| Publikation (Nr.) |
 copernicus.org/hess-17-1809-2013.pdf |
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| Zusammenfassung |
| Satellite remote sensing can be used to investigate spatially distributed
hydrological states for use in modeling, assessment, and management. However,
in the visual wavelengths, cloud cover can often obscure significant
portions of the images. This study develops a rule-based, multistep method
for removing clouds from MODIS snow cover area (SCA) images. The methods
used include combining images from more than one satellite, time
interpolation, spatial interpolation, and estimation of the probability of
snow occurrence based on topographic information. Applied over the upper
Salt River basin in Arizona, the method reduced the degree of cloud
obscuration by 93.8%, while maintaining a similar degree of image accuracy
to that of the original images. |
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