A Multifactor Eigenvector Spatial Filtering-Based Method for Resolution-Enhanced Snow Water Equivale...
A Multifactor Eigenvector Spatial Filtering-Based Method for Resolution-Enhanced Snow Water Equivalent Estimation in the Western United States
About this item
Full title
Author / Creator
Chen, Yuejun , Chen, Yumin , Wilson, John P. , Yang, Jiaxin , Su, Heng and Xu, Rui
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Accurate snow water equivalent (SWE) products are vital for monitoring hydrological processes and managing water resources effectively. However, the coarse spatial resolution (typically at 25 km from passive microwave remote sensing images) of the existing SWE products cannot meet the needs of explicit hydrological modeling. Linear regression ignor...
Alternative Titles
Full title
A Multifactor Eigenvector Spatial Filtering-Based Method for Resolution-Enhanced Snow Water Equivalent Estimation in the Western United States
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2b22f32db4c743babb3a5189167452b1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2b22f32db4c743babb3a5189167452b1
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15153821
