ADEOS-II/GLI snow/ice products - Part I: Scientific basis

Knut Stamnes, Wei Li, Hans Eide, Teruo Aoki, Masahiro Hori, Rune Storvold

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

Algorithms for retrieval of aerosol and snow/ice properties in polar and mid-latitude regions are described. These include (i) a cloud mask, (ii) a snow/sea ice discriminator, (iii) algorithms for retrieval of snow properties (snow grain size and impurities) and (iv) surface temperature of snow/ice and open ocean water. The cloud mask and snow/ice discriminator are used for cloud clearing as well as surface classification. For cloud-free pixels that are determined to be snow-covered an algorithm for retrieval of snow grain size and impurity concentration has been constructed. Radiative transfer simulations of the coupled atmosphere-surface system are used to construct lookup tables that are used in the retrieval process which proceeds by comparing measured top-of-the-atmosphere (TOA) radiances with synthetic values obtained from the lookup tables. These algorithms are designed to be applicable to polar and mid-latitude regions, but can easily be extended for use in other regions with seasonal and permanent snow-cover. The surface temperature retrieval algorithm consists of two parts: one for retrieval of the snow/ice surface temperature (IST), and another one for the retrieval of open-ocean surface temperature (SST). A multilinear regression technique is used to determine the empirical coefficients in the expression for the surface temperature, and Arctic radiosonde data are used in conjunction with radiative transfer models to simulate the sensor-measured radiances. The algorithms have been extensively tested against synthetic data, Moderate Resolution Imaging Spectroradiometer (MODIS), MODIS Airborne Simulator (MAS) and GLobal Imager (GLI) data as well as other data sources.

Original languageEnglish
Pages (from-to)258-273
Number of pages16
JournalRemote Sensing of Environment
Volume111
Issue number2
DOIs
Publication statusPublished - Nov 30 2007
Externally publishedYes

Fingerprint

ADEOS
Snow
Image sensors
snow
Ice
ice
surface temperature
moderate resolution imaging spectroradiometer
Table lookup
Discriminators
Radiative transfer
open ocean
radiance
MODIS
radiative transfer
grain size
Masks
Temperature
product
Impurities

Keywords

  • Cloud masking
  • Snow grain size
  • Snow impurity

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes
  • Environmental Science(all)
  • Management, Monitoring, Policy and Law

Cite this

Stamnes, K., Li, W., Eide, H., Aoki, T., Hori, M., & Storvold, R. (2007). ADEOS-II/GLI snow/ice products - Part I: Scientific basis. Remote Sensing of Environment, 111(2), 258-273. https://doi.org/10.1016/j.rse.2007.03.023

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

In: Remote Sensing of Environment, Vol. 111, No. 2, 30.11.2007, p. 258-273.

Research output: Contribution to journalArticle

Stamnes, K, Li, W, Eide, H, Aoki, T, Hori, M & Storvold, R 2007, 'ADEOS-II/GLI snow/ice products - Part I: Scientific basis', Remote Sensing of Environment, vol. 111, no. 2, pp. 258-273. https://doi.org/10.1016/j.rse.2007.03.023
Stamnes K, Li W, Eide H, Aoki T, Hori M, Storvold R. ADEOS-II/GLI snow/ice products - Part I: Scientific basis. Remote Sensing of Environment. 2007 Nov 30;111(2):258-273. https://doi.org/10.1016/j.rse.2007.03.023
Stamnes, Knut ; Li, Wei ; Eide, Hans ; Aoki, Teruo ; Hori, Masahiro ; Storvold, Rune. / ADEOS-II/GLI snow/ice products - Part I : Scientific basis. In: Remote Sensing of Environment. 2007 ; Vol. 111, No. 2. pp. 258-273.
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