Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events

Heidrun Wiebe, Georg Heygster, Eleonora Zege, Teruo Aoki, Masahiro Hori

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The size of snow grains plays an important role for modeling the snow albedo in polar regions. The Snow Grain Size and Pollution (SGSP) retrieval computes the snow grain size using spectral reflectances from the Moderate Imaging Spectrometer (MODIS): the channels at 0.47. μm, 0.86. μm, and 1.24. μm. The unique feature of the SGSP retrieval is that it does not require a-priori information on the snow grain shape.In this paper, the SGSP-retrieved snow grain size is validated with six data sets from ground measurement campaigns in the Arctic, the Antarctic, Greenland, and Japan. Almost half of the comparison cases have a difference below 15%; the correlation coefficient is 0.86. The application of the SGSP retrieval on the Antarctic Ross ice shelf demonstrates the potential to detect snow fall events by analyzing the snow grain size time series for sudden grain size decreases.

Original languageEnglish
Pages (from-to)11-20
Number of pages10
JournalRemote Sensing of Environment
Volume128
DOIs
Publication statusPublished - Jan 21 2013
Externally publishedYes

Fingerprint

Snow
snow
remote sensing
satellite data
Pollution
grain size
pollution
Satellites
detection
albedo (reflectance)
Polar Regions
spectral reflectance
ice shelf
Greenland
polar region
spectrometers
reflectance
Ice
albedo
Spectrometers

Keywords

  • MODIS
  • Retrieval
  • Satellite
  • Snow grain size
  • Validation

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Soil Science
  • Geology

Cite this

Snow grain size retrieval SGSP from optical satellite data : Validation with ground measurements and detection of snow fall events. / Wiebe, Heidrun; Heygster, Georg; Zege, Eleonora; Aoki, Teruo; Hori, Masahiro.

In: Remote Sensing of Environment, Vol. 128, 21.01.2013, p. 11-20.

Research output: Contribution to journalArticle

Wiebe, Heidrun ; Heygster, Georg ; Zege, Eleonora ; Aoki, Teruo ; Hori, Masahiro. / Snow grain size retrieval SGSP from optical satellite data : Validation with ground measurements and detection of snow fall events. In: Remote Sensing of Environment. 2013 ; Vol. 128. pp. 11-20.
@article{5b4e16eedda348439919e51bf9fe8f54,
title = "Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events",
abstract = "The size of snow grains plays an important role for modeling the snow albedo in polar regions. The Snow Grain Size and Pollution (SGSP) retrieval computes the snow grain size using spectral reflectances from the Moderate Imaging Spectrometer (MODIS): the channels at 0.47. μm, 0.86. μm, and 1.24. μm. The unique feature of the SGSP retrieval is that it does not require a-priori information on the snow grain shape.In this paper, the SGSP-retrieved snow grain size is validated with six data sets from ground measurement campaigns in the Arctic, the Antarctic, Greenland, and Japan. Almost half of the comparison cases have a difference below 15{\%}; the correlation coefficient is 0.86. The application of the SGSP retrieval on the Antarctic Ross ice shelf demonstrates the potential to detect snow fall events by analyzing the snow grain size time series for sudden grain size decreases.",
keywords = "MODIS, Retrieval, Satellite, Snow grain size, Validation",
author = "Heidrun Wiebe and Georg Heygster and Eleonora Zege and Teruo Aoki and Masahiro Hori",
year = "2013",
month = "1",
day = "21",
doi = "10.1016/j.rse.2012.09.007",
language = "English",
volume = "128",
pages = "11--20",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Snow grain size retrieval SGSP from optical satellite data

T2 - Validation with ground measurements and detection of snow fall events

AU - Wiebe, Heidrun

AU - Heygster, Georg

AU - Zege, Eleonora

AU - Aoki, Teruo

AU - Hori, Masahiro

PY - 2013/1/21

Y1 - 2013/1/21

N2 - The size of snow grains plays an important role for modeling the snow albedo in polar regions. The Snow Grain Size and Pollution (SGSP) retrieval computes the snow grain size using spectral reflectances from the Moderate Imaging Spectrometer (MODIS): the channels at 0.47. μm, 0.86. μm, and 1.24. μm. The unique feature of the SGSP retrieval is that it does not require a-priori information on the snow grain shape.In this paper, the SGSP-retrieved snow grain size is validated with six data sets from ground measurement campaigns in the Arctic, the Antarctic, Greenland, and Japan. Almost half of the comparison cases have a difference below 15%; the correlation coefficient is 0.86. The application of the SGSP retrieval on the Antarctic Ross ice shelf demonstrates the potential to detect snow fall events by analyzing the snow grain size time series for sudden grain size decreases.

AB - The size of snow grains plays an important role for modeling the snow albedo in polar regions. The Snow Grain Size and Pollution (SGSP) retrieval computes the snow grain size using spectral reflectances from the Moderate Imaging Spectrometer (MODIS): the channels at 0.47. μm, 0.86. μm, and 1.24. μm. The unique feature of the SGSP retrieval is that it does not require a-priori information on the snow grain shape.In this paper, the SGSP-retrieved snow grain size is validated with six data sets from ground measurement campaigns in the Arctic, the Antarctic, Greenland, and Japan. Almost half of the comparison cases have a difference below 15%; the correlation coefficient is 0.86. The application of the SGSP retrieval on the Antarctic Ross ice shelf demonstrates the potential to detect snow fall events by analyzing the snow grain size time series for sudden grain size decreases.

KW - MODIS

KW - Retrieval

KW - Satellite

KW - Snow grain size

KW - Validation

UR - http://www.scopus.com/inward/record.url?scp=84867650420&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867650420&partnerID=8YFLogxK

U2 - 10.1016/j.rse.2012.09.007

DO - 10.1016/j.rse.2012.09.007

M3 - Article

AN - SCOPUS:84867650420

VL - 128

SP - 11

EP - 20

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -