TY - JOUR
T1 - Simultaneous retrieval of aerosol and surface properties over bright targets including snow and ice using multi-and hyperspectral data
AU - Stamnes, Knut
AU - Li, Wei
AU - Spurr, Robert
AU - Eide, Hans
AU - Stamnes, Jakb J.
PY - 2004
Y1 - 2004
N2 - 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?
AB - 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?
KW - Atmospheric correction
KW - Remote sensing
KW - Snow/ice surfaces
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U2 - 10.1117/12.565453
DO - 10.1117/12.565453
M3 - Conference article
AN - SCOPUS:15944384276
SN - 0277-786X
VL - 5569
SP - 56
EP - 67
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
M1 - 06
T2 - Remote Sensing of the Ocean and Sea Ice 2004
Y2 - 13 September 2004 through 14 September 2004
ER -