NDLI: Quantifying inter-comparison of the microwave emission model of layered snowpacks (MEMLS) and the multilayer dense media radiative transfer theory (DMRT) in modeling snow microwave radiance

Content Provider	IEEE Xplore Digital Library
Author	Bangsen Tian Zhen Li Yanan Zhu Quan Chen Yongqian Wang
Copyright Year	2010
Description	Author affiliation: Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Post Box 9718, Beijing, 100101, China (Bangsen Tian; Zhen Li; Yanan Zhu; Quan Chen) \|\| Institute of Remote Sensing Applications, Chinese Academy of Sciences, Post Box 9718, Beijing, 100101, China (Yongqian Wang)
Abstract	Electromagnetic models are fundamental for understanding of the interaction processing between electromagnetic waves and matter and further to retrieve geophysical parameters from observation data. The MEMLS and DMRT are two most widely used models and these corresponding multilayer versions include the effects of stratification due to ice-layer and depth hoar. In order to extend the results Tedesco has obtained, following the Durand's work, sufficiently comparisons of multilayer model are made in this paper to definitively determine which the better approach is meaningful. At First, we compare the accuracy of MEMLS with multilayer QCA/DMRT using the same multilayer snowpit inputs. Secondly, in order to the stability of model, we test the sensitivity of models.
Starting Page	1753
Ending Page	1756
File Size	414007
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5649368
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Snow Sensitivity Grain size Ice Scattering Microwave integrated circuits Nonhomogeneous media CLPX passive microwave remote sensing
Content Type	Text
Resource Type	Article

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