Remote Sensing using Coherent Multipath
Interference of Wideband Planck Radiation
Seyedmohammad Mousavi
*
, Roger De Roo
†
, Kamal Sarabandi
*
, Anthony England
‡
, and Hamid Nejati
*
*
Electrical Engineering and Computer Science Department
University of Michigan, Ann Arbor, Michigan 48109-2122
Email: mousavis@umich.edu, saraband@umich.edu, and hnejati@umich.edu
†
Climate and Space Sciences and Engineering Department
University of Michigan, Ann Arbor, Michigan 48109-2143
Email: deroo@umich.edu
‡
College of Engineering and Computer Science
University of Michigan, Dearborn, Michigan 48128-2406
Email: england@umich.edu
Abstract— A novel microwave radiometric technique, known
as wideband autocorrelation radiometry (WiBAR), is introduced
as a direct method to remotely measure the layer thickness of low-
loss terrain covers such as snow and ice. This is done by measuring
the propagation time
ࢊࢋ
from the autocorrelation function
(ACF) of multipath microwave emission. We report
measurements of the snowpack thickness using WiBAR at the
University of Michigan Biological Station (UMBS) in winter 2015.
The observations are done at frequencies from 1 to 3 GHz. At these
frequencies, the volume and surface scattering are small in the
snowpacks. This technique is inherently low-power since there is
no transmitter as opposed to active remote sensing techniques.
Keywords—microwave radiometry; remote sensing; snowpack
I. INTRODUCTION
Environmental changes such as global warming impose
rapid changes upon the cryosphere [1]; as a result, the statistics
which demonstrate the extent, timing, and Snow Water
Equivalent (SWE) of seasonal snowpacks on prairie and alpine
terrains are no longer stationary [2]. Effective management of
this freshwater reservoir and adaption to variable risks of
flooding can benefit from almost daily monitoring the spatial
and temporal distributions of SWE and snowpack wetness. Thus
a detailed understanding of the snowpack accumulation,
metamorphism, and melting would be a beneficial outcome of
near daily observations of the SWE and wetness of snowpacks.
II. CURRENT REMOTE SENSING OF DRY SNOW PACK
Current microwave remote sensing of dry snowpack is based
on frequency dependent differential scattering by the ice grains
that comprise snowpacks [3]-[4]. Differences between
microwave brightness temperatures at two different frequencies,
namely 19 and 37 GHz, are used to estimate the SWE of
snowpacks. However, it is not robust since the scattering theory
yields only the form of frequency dependent scatter darkening
but not a reliable amplitude estimation. The algorithm should be
empirically tuned to a region’s typical snowpack. Thus, it is
highly dependent on the microscopic properties of the snowpack
(e.g. grain size), which varies considerably from place to place
and time to time. In addition, tuning algorithms become very
complicated or even unworkable for complex terrains.
III. WIDEBAND AUTOCORRELATION RADIOMETRY
Wideband Autocorrelation radiometry makes use of the
correlation that exists between the thermal radiation from the
surface beneath or within the pack which travels upwards
through the pack towards the radiometer, which will be referred
to as the direct signal, and other portion of the radiation that
reflects back from the pack’s upper interface then from its lower
interface, before traveling towards the radiometer antenna, as
shown in Fig 1. Thus, there are two signals received by the
radiometer, the direct signal and a delayed copy of it. The
vertical extent of the pack can be found from the microwave
propagation time
ௗ
by measuring the time delay between
these two signals.
Fig. 1. Passive remote sensing of microwave travel time within the pack using
WiBAR. The direct signal and the delayed signal arrive at the radiometer
antenna with the time difference
ௗ
.
ௗ
= ʹ
−
is the one way travel time in the pack, and
is the travel
time in the air between points P1 and P2 of the direct signal.
Incidence angles
and
are related by Snell’s law, as shown
in (2).
=
where
=ͳ . In the case of homogenous and isotropic
icepack with constant refractive index (
=
= ͳ.775), (1)
is simplified to (3).
Support provided by NASA Terrestrial Hydrology program contract
NNX15AB36G.
2051 978-1-5090-2886-3/16/$31.00 ©2016 IEEE AP-S 2016