Date

Special Issue Available
Remote Sensing of the Cryosphere
Volume 111, Issues 2-3 (30 November 2007)
Pp. 135-408

To access and download the issue, please see Volume 111, Issues 2-3 at:
http://www.sciencedirect.com/science/journal/00344257

For further information, please contact:
Marco Tedesco
E-mail: mtedesco [at] umbc.edu

A special issue of Remote Sensing of the Cryosphere on "Remote Sensing
of Environment" is currently in press and papers are now available online.

This special issue brings together a collection of papers highlighting
recent science, algorithm development, and validation results on remote
sensing of the Cryosphere.

The term Cryosphere is derived from the Greek word kryos, for cold, and
it describes the portions of the Earth where water is in frozen form.
These include sea-, lake- and river-ice, snow cover, glaciers, ice caps
and ice sheets, and frozen ground. The Cryosphere strongly affects the
global climate system influencing surface energy and moisture fluxes,
clouds, precipitation, hydrology, and atmospheric and oceanic
circulation.

Abstracts and full text articles are available for the following papers:

  • Using remote sensing data to develop seasonal outlooks for Arctic
    regional sea-ice minimum extent; Sheldon D. Drobot

  • On detection of the thermophysical state of landfast first-year sea
    ice using in-situ microwave emission during spring melt; Byong Jun
    Hwang, Alexandre Langlois, David G. Barber and Timothy N. Papakyriakou

  • Coincident high resolution optical-SAR image analysis for surface
    albedo estimation of first-year sea ice during summer melt; Randall K.
    Scharien, John J. Yackel, Mats A. Granskog and Brent G.T. Else

  • The potential of satellite radar interferometry and feature tracking
    for monitoring flow rates of Himalayan glaciers; Adrian Luckman, Duncan
    Quincey and Suzanne Bevan

  • Combined airborne laser and radar altimeter measurements over the Fram
    Strait in May 2002; K.A. Giles, S.W. Laxon, D.J. Wingham, D.W. Wallis,
    W.B. Krabill, C.J. Leuschen, D. McAdoo, S.S. Manizade and R.K. Raney

  • Basal melting of A-38B: A physical model constrained by satellite
    observations; Daniela Jansen, Michael Schodlok and Wolfgang Rack

  • Polar Radar for Ice Sheet Measurements (PRISM); Sivaprasad Gogineni,
    David Braaten, Chris Allen, John Paden, Torry Akins, Pannir
    Kanagaratnam, Ken Jezek, Glenn Prescott, Gunashekar Jayaraman, Vijaya
    Ramasami, Cameron Lewis and David Dunson

  • Detection of buried ice and sediment layers in permafrost using
    multi-frequency Ground Penetrating Radar: A case examination on
    Svalbard; Ola Brandt, Kirsty Langley, Jack Kohler and Svein-Erik Hamran

  • The semi-analytical snow retrieval algorithm and its application to
    MODIS data; M. Tedesco and A.A. Kokhanovsky

  • MODIS-based Mosaic of Antarctica (MOA) data sets: Continent-wide
    surface morphology and snow grain size; T.A. Scambos, T.M. Haran, M.A.
    Fahnestock, T.H. Painter and J. Bohlander

  • ADEOS-II/GLI snow/ice products - Part I: Scientific basis; Knut
    Stamnes, Wei Li, Hans Eide, Teruo Aoki, Masahiro Hori and Rune Storvold

  • ADEOS-II/GLI snow/ice products - Part II: Validation results using GLI
    and MODIS data; Teruo Aoki, Masahiro Hori, Hiroki Motoyoshi, Tomonori
    Tanikawa, Akihiro Hachikubo, Konosuke Sugiura, Teppei J. Yasunari, Rune
    Storvold, Hans A. Eide, Knut Stamnes, Wei Li, Jens Nieke, Yukinori
    Nakajima and Fumihiro Takahashi

  • ADEOS-II/GLI snow/ice products - Part III: Retrieved results; Masahiro
    Hori, Teruo Aoki, Knut Stamnes and Wei Li

  • Northern Hemisphere five-year average (2000-2004) spectral albedos of
    surfaces in the presence of snow: Statistics computed from Terra MODIS
    land products; Eric G. Moody, Michael D. King, Crystal B. Schaaf,
    Dorothy K. Hall and Steven Platnick

  • Inversion of a passive microwave snow emission model for water
    equivalent estimation using airborne and satellite data; M. Parde, K.
    Goita and A. Royer

  • A parameterized multiple-scattering model for microwave emission from
    dry snow; Lingmei Jiang, Jiancheng Shi, Saibun Tjuatja, Jeff Dozier,
    Kunshan Chen and Lixin Zhang

  • Assessment of spring snow cover duration variability over northern
    Canada from satellite datasets; Ross Brown, Chris Derksen and Libo Wang

  • Observations and statistical analysis of combined active-passive
    microwave space-borne data and snow depth at large spatial scales; M.
    Tedesco and J. Miller

  • Identification of atmospheric influences on the estimation of snow
    water equivalent from AMSR-E measurements; J.R. Wang and M. Tedesco

For further information, please contact:
Marco Tedesco
E-mail: mtedesco [at] umbc.edu