Synergistic Use of Remote Sensing for Snow Cover and Snow Water Equivalent Estimation.
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Date
2013-10
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Abstract
An increasing number of satellite sensors operating in the optical and microwave spectral
bands represent an opportunity for utilizing multi-sensor fusion and data assimilation
techniques for improving the estimation of snowpack properties using remote sensing. In
this paper, the strength of a synergistic approach of leveraging optical, active and passive
microwave remote sensing measurements to estimate snowpack characteristics is
discussed and examples from recent work are given. Observations with each type of
sensor have specific technical constraints and limitations. Optical sensor data has high
spatial resolution but is limited to cloud free days, whereas passive microwave sensors
have coarse spatial resolution and are sensitive to multiple snowpack properties. Multisource
and multi-temporal remote sensing data therefore hold great promise for moving
the monitoring and analysis of snow toward estimates of a suite of snow properties at
high spatial and temporal resolution.
Description
Keywords
Snow, optical, active, passive, microwave, remote Sensing
Citation
Muñoz Jonathan, Infante Jose, Lakhankar Tarendra, Khanbilvardi Reza, Romanov Peter, Krakauer Nir, Powell Al. Synergistic Use of Remote Sensing for Snow Cover and Snow Water Equivalent Estimation. British Journal of Environment and Climate Change. 2013 Oct-Dec; 3(4): 612-627.