Paper
16 November 2004 Simultaneous retrieval of aerosol and surface properties over bright targets including snow and ice using multi- and hyperspectral data
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Proceedings Volume 5569, Remote Sensing of the Ocean and Sea Ice 2004; (2004) https://doi.org/10.1117/12.565453
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain
Abstract
Retrieval of surface properties of highly reflecting targets such as snow and ice is a challenging problem due to the influence of aerosols which varies considerably in space and time. Also, accounting for the bidirectional properties of a bright surface such as snow is very important for reliable retrievals. The main purpose of the work described in this paper is to explore the opportunities and possibilities offered by multi- and hyperspectral data such as those available provided by MODIS, GLI, the Advanced Land Imager (ALI), and Hyperion to retrieve reliable aerosol and surface properties. Over snow and ice surfaces these include aerosol optical depth and single scattering albedo, the mean size of snow grains and ice "particles" (inclusions), and the spectral and broadband snow/ice albedo. In particular the following question will be addressed: To what extent can multi- and hyperspectral data help improve our knowledge of snow and ice parameters that are important for understanding global climate change?
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Knut Stamnes, Wei Li, Robert Spurr, Hans Arthur Eide, and Jakob J. Stamnes "Simultaneous retrieval of aerosol and surface properties over bright targets including snow and ice using multi- and hyperspectral data", Proc. SPIE 5569, Remote Sensing of the Ocean and Sea Ice 2004, (16 November 2004); https://doi.org/10.1117/12.565453
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KEYWORDS
Aerosols

Atmospheric modeling

MODIS

Error analysis

Algorithm development

Surface properties

Atmospheric particles

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