کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4458955 1621272 2013 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events
چکیده انگلیسی

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.


► Satellite-based snow grain size retrieval validated with six data sets of ground measurements.
► Half of comparison cases have difference below 15%; the correlation coefficient is 0.86.
► Satellite-retrieved snow grain size time series was analyzed to detect snow fall events.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 128, 21 January 2013, Pages 11–20
نویسندگان
, , , , ,