An evaluation of terrain‐based downscaling of fractional snow covered area data sets based on LiDAR‐derived snow data and orthoimagery

Details

• Journal Title:
  Water Resources Research
• Personal Author:
  Cristea, Nicoleta C. ; Breckheimer, Ian ; Raleigh, Mark S. ; HilleRisLambers, Janneke ; Lundquist, Jessica D.
• NOAA Program & Office:
  NESDIS (National Environmental Satellite, Data, and Information Service) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; NCEI (National Centers for Environmental Information)
• Description:
  Reliable maps of snow-covered areas at scales of meters to tens of meters, with daily temporal resolution, are essential to understanding snow heterogeneity, melt runoff, energy exchange, and ecological processes. Here we develop a parsimonious downscaling routine that can be applied to fractional snowcovered area (fSCA) products from satellite platforms such as the Moderate Resolution Imaging Spectroradiometer (MODIS) that provide daily /C24500 m data, to derive higher-resolution snow presence/ absence grids. The method uses a composite index combining both the topographic position index ( TPI)t o represent accumulation effects and the diurnal anisotropic heat ( DAH , sun exposure) index to represent ablation effects. The procedure is evaluated and calibrated using airborne-derived high-resolution data sets
• Keywords:
  Water Science and Technology
• Source:
  Water Resources Research, 53(8), 6802-6820
• DOI:
  https://doi.org/10.1002/2017wr020799
• ISSN:
  0043-1397 ; 1944-7973
• Format:
  PDF
• Publisher:
  American Geophysical Union (AGU)
• Document Type:
  Journal Article
• Rights Information:
  Other
• Compliance:
  Library
• Main Document Checksum:
  urn:sha256:c218fb40e4126a71c3e2d1f7171d8119918479f9dd01a29d19ccc78efe1c5abb
• Download URL:
  https://repository.library.noaa.gov/view/noaa/52927/noaa_52927_DS1.pdf
• File Type:
  [PDF - 2.07 MB ]