کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5754664 1621199 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Retrieving snow and ice characteristics by remotely sensed emissivity using the multi-view brightness temperature within 8 μm to 14 μm
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Retrieving snow and ice characteristics by remotely sensed emissivity using the multi-view brightness temperature within 8 μm to 14 μm
چکیده انگلیسی
We define emissivity “classes” for different snow grain sizes from angular and spectral field measurements of snow grain size and emissivity above snow and ice from Hori et al. (2006, 2007): fine, medium, coarse, suncrust, and ice. Remaining pixels are either indistinct between classes, unclassified, or invalid. Temperatures above the freezing point label pixels as wet. Analysing 26 AATSR scenes in 2007 and 2008, we retrieve a high portion of classification in Greenland, Antarctica, and the sea ice of the Hudson Bay. Steep and heterogeneous topography may cause invalid and unclassified pixels in Eurasia. Close to coasts we generally find a higher snow temperature and a large number of wet pixels.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 201, November 2017, Pages 181-195
نویسندگان
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