Multi-angle/Multi-spectral Mapping of Snow Covered = Area and Vegetation Density Using MISR

From: Subject: Multi-angle/Multi-spectral Mapping of Snow Covered Area and Vegetation Density Using MISR Date: Sun, 22 May 2005 21:01:26 -0700 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_004B_01C55F11.6B01CCD0" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.2180 This is a multi-part message in MIME format. ------=_NextPart_000_004B_01C55F11.6B01CCD0 Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.agu.org/cgi-bin/SFgate/SFgate?language=English&verbose=0&listenv=table&application=fm04&convert=&converthl=&refinequery=&formintern=&formextern=&transquery=an%3d%22C31A-0281%22&_lines=&multiple=0&descriptor=%2fdata%2fepubs%2fwais%2findexes%2ffm04%2ffm04%7c1000%7c2582%7cMulti-angle%2fMulti-spectral%20Mapping%20of%20Snow%20Covered%20Area%20and%20Vegetation%20Density%20Using%20MISR%7cHTML%7clocalhost:0%7c%2fdata%2fepubs%2fwais%2findexes%2ffm04%2ffm04%7c7539182%207541764%20%2fdata2%2fepubs%2fwais%2fdata%2ffm04%2ffm04.txt Multi-angle/Multi-spectral Mapping of Snow Covered = Area and Vegetation Density Using MISR

2004 Fall=20 = Meeting
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Cite = abstracts as=20 Author(s) (2004), Title, Eos Trans. AGU,
85(47), = Fall=20 Meet. Suppl., Abstract = xxxxx-xx

Your query was:: an=3D"C31A-0281"

HR: 0800h
AN: C31A-0281
TI: Multi-angle/Multi-spectral=20 Mapping of Snow Covered Area and Vegetation Density Using=20 MISR
AU: * Nolin, A W
EM: = nolina@science.oregonstate.edu
AF: Oregon State University, Department of Geosciences, = Wilkinson=20 104, Corvallis, OR 97331 United States
AU: Selkowitz, D
EM: selkowid@geo.oregonstate.edu
AF: Oregon=20 State University, Department of Geosciences, Wilkinson 104, = Corvallis, OR=20 97331 United States
AB: Vegetation = structure and=20 density affect the dynamics of snow accumulation and ablation. The = presence of vegetation also affects our ability to accurately = estimate=20 snow-covered area (SCA) from satellite-based sensors. The = objective of=20 this case study is to simultaneously retrieve subpixel estimates = of snow=20 covered area and vegetation density from multi-angle imagery. = Imagery from=20 the Multi-angle Imaging SpectroRadiometer (MISR) was acquired over = Glacier=20 National Park and a portion of the Colorado Rocky Mountains. = Vegetation=20 density can be related to the shape of the angular signature for a = pixel.=20 Here, we invert the Rahman-Pinty-Verstraete (RPV) model to compute = values=20 of a semi-empirical parameter (the k-parameter) that is = statistically=20 correlated with vegetation density. For the same pixels, we = perform linear=20 spectral unmixing using the four-band multi-spectral data at each = of the=20 nine MISR viewing angles. In areas with a mixture of vegetation = and snow,=20 SCA estimates vary as a function of viewing angle and vegetation = density.=20 Using both the multi-angle and multi-spectral data from MISR, we = are able=20 formulate corrections for SCA estimates based on the vegetation = density.=20 Moreover, the vegetation density information itself is an = important=20 retrieved parameter that can be used in snowmelt/runoff models.=20
DE: 1719 Hydrology
DE: 1863 Snow and ice (1827)
DE: 1640 Remote=20 sensing
SC: Cryosphere = [C]
MN: 2004 AGU Fall Meeting

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