EV1-222,
ext.
45451
rejkelly@uwaterloo.ca
Richard joined the department in 2006 having spent 5 years as an associate research scientist at NASA. His research interests are in snow and ice hydrology and especially in the measurement of snow and ice from Earth observing remote sensing instruments. His research focuses on the use of active and passive remote sensing instruments to estimate global water storage in seasonal snowpacks.
Find out more about Richard Kelly's research on his website.
Key
Areas
of
Graduate
Supervision
remote
sensing,
snow
hydrology,
snow
climatology,
geospatial
modelling
of
snow,
citizen
science
Recent
Courses
Taught
GEOG100:
On
becoming
a
Professional
Geographer
GEOG371:
Advanced
Remote
Sensing
Techniques
GEOG471:
Remote
Sensing
Project
GEOG603:
Remote
Sensing
and
Earth
System
Science
Research
Interests
My
research
interests
are
in
snow
and
ice
hydrology
and
especially
in
the
measurement
of
snow
and
ice
from
Earth
observing
remote
sensing
instruments.
This
research
focuses
on
the
use
of
active
and
passive
remote
sensing
sensors
to
estimate
global
water
storage
in
seasonal
snowpacks.
I
am
also
interested
in
how
in
situ
measurement
strategies
can
be
deployed
to
support
remote
sensing
observations
and
numerical
hydrologic
models
of
snow.
I
have
conducted
field
work
in
several
parts
of
the
world
(N.
America,
Europe
and
Asia)
to
support
these
activities.
These
research
interests
relate
to
substantial
questions
concerning
how
the
cryosphere
is
responding
to
global
environmental
change.
In
many
places,
seasonal
snowmelt
makes
a
significant
contribution
to
the
annual
water
budget.
Quantifying
regional
snow
water
storage
is
crucial
for
effective
water
resource
management.
With
global
environmental
change,
we
are
starting
to
observe
changes
to
seasonal
snow
dynamics
that
will
affect
people
in
many
parts
of
the
world.
Fundamental
accurate
observations
and
measurements
of
the
cryosphere,
therefore,
are
critical
to
help
better
understand
changes
to
the
cryosphere
and
more
efficiently
manage
snow
dominated
water
resource.
Recent
Publications
(*
indicates
student
supervised)
- Thompson*, A. and R.E.J. Kelly (2021) Radar retrieval of snow water equivalent for mid-latitude agricultural sites, Canadian Journal of Remote Sensing. https://doi.org/10.1080/07038992.2021.1898938.
- Donchenko*, P., King, J., and Kelly, R. (2020) Evaluating Airborne Ku-Band Radar Altimetry over Landfast First-Year Sea Ice, The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-283, in review, 2020
- Li*, Q., R.E.J. Kelly, J. Lemmetyinen and J. Pan (2020) Simulating the influence of temperature on microwave transmissivity of trees during winter observed by spaceborne microwave radiometery IEEE Journal of Selected Topics in Applied Remote Sensing. 13: 4816 – 4824. Doi: 10.1109/JSTARS.2020.3017618
- Saberi*, N., R.E.J. Kelly, J. Pan, M. Durand and A. Scott (2020) The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow, IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2020.3004594
- Mortimer, C., L. Mudryk, C. Derksen, K. Luojus, R. Brown, R. Kelly and M. Tedesco (2020) Evaluation of long-term Northern Hemisphere snow water equivalent products?, The Cryosphere. 14, 1579–1594 https://doi.org/10.5194/tc-14-1579-2020.
- Thompson*, A, R.E.J. Kelly and J.M.L. King (2019) Sensitivity of Ku- and X-band radar observations to moderate to shallow depth seasonal snow in Ontario, Canada, Canadian Journal of Remote Sensing. doi: 10.1080/07038992.2019.1704621
- Li*, Q., Kelly, R.E.J., Leppänen, L., Vehviläinen, J., Kontu, A., Lemmetyinen, J, Pulliainen, J (2019) The Influence of Thermal Properties and Canopy- Intercepted Snow on Passive Microwave Transmissivity of a Scots Pine. IEEE Transactions on Geoscience and Remote Sensing, 57(8): 5424-5433. doi.org/10.1109/TGRS.2019.2899345.
- Vanthof*, V.R. and Kelly, R.E.J. (2019) Estimating seasonal surface water storage in rainwater harvesting reservoirs in southeast India using satellite remote sensing, Remote Sensing of Environment 235, doi.org/10.1016/j.rse.2019.111437
- Maslanka, W., M. Sandells, R. Gurney, J. Lemmetyinen, L. Leppänen, A. Kontu, M. Matzl, N. Rutter, T. Watts and R. Kelly (2019) Derivation and Evaluation of a New Extinction Coefficient for use with the n-HUT Snow Emission Model. IEEE Transactions on Geoscience and Remote Sensing, 57(10): 7406-7417. DOI 10.1109/TGRS.2019.2913208
- Saberi*, N., R.E.J. Kelly, M. Flemming*, and Q. Li* (2019) Review of snow water equivalent retrieval methods using spaceborne passive microwave radiometry, International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2019.1654144.
- Thompson*, A, R.E.J. Kelly (2019) Observations of coniferous forest at 9.6 and 17.2 GHz: Implications for SWE retrievals, Remote Sensing, 11(6), doi:10.3390/rs11010006
- Heygster, G., M. Kaichi, R.E.J. Kelly and G. Liu (2017) Foreword to the special issue on the Global Change Observation Mission—Water: contributions to global water cycle science from the Advanced Microwave Scanning Radiometer-2, IEEE Journal of Selected Topics in Applied Remote Sensing, 10(9): 3835-3838.
- Saberi*, N. and R.E.J. Kelly P. Toose, A. Roy and C. Derksen (2017) Modeling the observed microwave emission from shallow multi-layer tundra snow using DMRT-ML, Remote Sensing. 9(12), 1327; doi:10.3390/rs9121327
- Li*, Q. and R.E.J. Kelly (2017) Correcting satellite passive microwave brightness temperatures in forested landscapes using satellite visible reflectance estimates of forest transmissivity, IEEE Journal of Selected Topics in Applied Remote Sensing. Doi: 10.1109/JSTARS.2017.2707545
- Howell, S.E., M. Brady*, C. Derksen and R.E.J. Kelly (2016) Recent changes in sea ice area flux in the Beaufort Sea during the summer months, J. Geophys. Res. Oceans, 121, doi:10.1002/ 2015JC011464.
- King*, JM.L., R.E.J. Kelly, A. Kasurak, C. Duguay, G. Gunn, N. Rutter, T. Watts, and C. Derksen (2015) Spatiotemporal influence of tundra snow properties on Ku-band (17.2 GHz) backscatter, Journal of Glaciology, 61(226), doi: 10.3189/2015JoG14J020.