Community GNSS-IR Publications

Changes to this file will only be allowed thru a pull request on github.

Software

Larson K.M., gnssrefl: an open source python software package for environmental GNSS interferometric reflectometry applications, GPS Solutions, in review.

Soil Moisture

• Larson, K.M., E.E. Small, E. Gutmann, A. Bilich, J. Braun, V. Zavorotny, Use of GPS receivers as a soil moisture network for water cycle studies, Geophys. Res. Lett., 35, L24405, doi:10.1029/2008GL036013, 2008

• Chew, C.C., E.E. Small, K.M. Larson, and V. Zavorotny, Effects of Near-Surface Soil Moisture on GPS SNR Data: Development of a Retrieval Algorithm for Volumetric Soil Moisture, IEEE TGRS, Vol. 52(1), 537-543, doi:10.1109/TGRS.2013.2242332, 2014

• Chew, C.C., E.E. Small, and K.M. Larson, An Algorithm for Soil Moisture Estimation Using GPS Interferometric Reflectometry for Bare and Vegetated Soil, GPS Solutions, Vol. 20(3), 525-537, doi:10.1007/s10291-015-0462-4, 2016

• Chew, C.C., E.E. Small, K.M. Larson, and V. Zavorotny, Vegetation Sensing Using GPS interferometric reflectometry: Theoretical Effects of Canopy Parameters on Signal to Noise Ratio Data, IEEE TGRS,Vol. 53(5), 2755-2763, doi: 10.1109/TGRS.2014.2364513, 2015

Snow

• Larson, K.M., E. Gutmann, V. Zavorotny, J. Braun, M. Williams, and F. G. Nievinski, Can we measure snow depth with GPS receivers?, Geophys. Res. Lett., Vol. 36, L17502, doi:10.1029/2009GL039430, 2009

• Nievinski, F.G. and K.M. Larson, Inverse Modeling of GPS Multipath for Snow Depth Estimation, Part I: Formulation and Simulations, IEEE TGRS, Vol. 52(10), 6555-6563, doi:10.1109/TGRS.2013.2297681, 2014

• Nievinski, F.G. and K.M. Larson, Inverse Modeling of GPS Multipath for Snow Depth Estimation, Part II: Application and Validation, IEEE TGRS, Vol. 52(10), 6564-6573, doi:10.1109/TGRS.2013.2297688, 2014

• Altuntas, C., M.C. Iban, E. Şentürk, U.M. Durdag, and N. Tunalioglu, Machine learning-based snow depth retrieval using GNSS signal-to-noise ratio data, GPS Solutions, Vol. 26(117), 1-12, doi:10.1007/s10291-022-01307-2, 2022

• Altuntas, C. and N. Tunalioglu, Enhancing snow depth estimations through iterative satellite elevation range selection in GNSS-IR to account for terrain variation, IEEE TGRS, Vol. 61, Article no: 5802309, 1-9, doi:10.1109/TGRS.2023.3312925, 2023

• McCreight, E.E. Small, and K.M. Larson, Snow Depth, Density, and SWE estimates Derived from GPS Reflection Data: Validation in the Western U.S., Water Resources Research,Vol. 50(8), doi:10.1002/2014WR015561, 2014

Tides

• Löfgren, J., R. Haas, and H.-G. Scherneck,2014: Sea level time series and ocean tide analysis from multipath signals at five GPS sites in different parts of the world. J. Geodyn., 80, 66–80, doi:10.1016/ j.jog.2014.02.012, 2014

• Strandberg, J., T. Hobiger, and R. Haas, 2016: Improving GNSS-R sea level determination through inverse modeling of SNR data. Radio Sci., 51, 1286–1296, doi:10.1002/2016RS006057, 2016.

• Larson, K.M., J. Löfgren, and R. Haas, Coastal Sea Level Measurements Using A Single Geodetic GPS Receiver, Adv. Space Res., Vol. 51(8), 1301-1310, 2013, doi:10.1016/j.asr.2012.04.017, 2013

• Larson, K.M., R. Ray, F. Nievinski, and J. Freymueller, The Accidental Tide Gauge: A Case Study of GPS Reflections from Kachemak Bay, Alaska, IEEE GRSL, Vol 10(5), 1200-1205, doi:10.1109/LGRS.2012.2236075, 2013

• Larson, K.M., R.D. Ray, and S.P. Williams, A ten year comparison of water levels measured with a geodetic GPS receiver versus a conventional tide gauge, J. Atmos. Ocean Tech, Vol. 34(2), 295-307, doi: 10.1175/JTECH-D-16-0101.1, 2017

• Peng, D., L. Feng, K.M. Larson, and E. Hill, Measuring Coastal Absolute Sea-Level Changes Using GNSS Interferometric Reflectometry, Remote Sens. 13(21), 4319, 2021

• Larson, K. M., Lay, T., Yamazaki, Y., Cheung, K. F., Ye, L., Williams, S. D. P., & Davis, J. L., Dynamic sea level variation from GNSS: 2020 Shumagin earthquake tsunami resonance and Hurricane Laura. Geophysical Research Letters, 48, e2020GL091378. https://doi. org/10.1029/2020GL091378, 2021.

• Purnell, D. Gomez, N., Chan, NH, Strandberg, J., Hobiger, T. Quantifying the Uncertainty in Ground-Based GNSS-Reflectometry Sea Level Measurements, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI:10.1109/JSTARS.2020.3010413, 2021

• Altuntas, C. and N. Tunalioglu, A systematic approach for identifying optimal azimuth and elevation angle masks in GNSS-IR: validation through a sea level experiment, GPS Solutions, Vol 27(4), 198, doi:10.1007/s10291-023-01535-0, 2023

• Larson, K.M. and S.D.P. Williams, Water level measurements using reflected GNSS signals

Lakes and Rivers

• Purnell, D., Gomez N., Minarik, W., Langston, G., Real-Time Water Levels using GNSS-IR: a potential tool for flood monitoring

• Holden, L. and K.M. Larson, Ten Years of Lake Taupo Surface Height Estimates Using the GNSS Interferometric Reflectometry, Journal of Geodesy. Vol 95(74),10.1007/s00190-021-01523-7, 2021

• Fagundes, M.A.R., Mendonça-Tinti, I., Iescheck, A.L., Akos, D.M., & Geremia-Nievinski, F. An open-source low-cost sensor for SNR-based GNSS reflectometry: Design and long-term validation towards sea-level altimetry. GPS Solutions, 25(2), 73, 2021

Permafrost

• Liu, L. and K.M. Larson, Decadal changes of surface elevation over permafrost area estimated using reflected GPS signals, The Cryosphere, Vol 12, 477–489, doi:10.5194/tc-12-477-2018, 2018

Coastal Subsidence

• Karegar, M.A., Larson, K.M., Kusche, J., & Dixon, T.H. Novel quantification of shallow sediment compaction by GPS interferometric reflectometry and implications for flood susceptibility. Geophysical Research Letters, 47(14), e2020GL087807, 2020.

Ice

• Larson, K.M., J. Wahr, and P. Kuipers Munneke, Constraints on Snow Accumulation and Firn Density in Greenland Using GPS Receivers, J. Glaciology, Vol. 61, No. 225, doi:10.3189/2015JoG14J130, 2015

• Shean, D., K. Christianson, K.M. Larson, S.R.M. Ligtenberg, I.R. Joughin, B. E. Smith, C.M. Stevens, M. Bushuk, and D.M. Holland, GPS-derived estimates of surface mass balance and ocean-induced basal melt for Pine Island Glacier ice shelf, Antarctica, The Cryosphere Vol. 11, 2655-2674, doi:10.5194/tc-11-2655, 2017

• Pinat,E.;Defraigne,P.; Bergeot, N.; Chevalier, J.-M.; Bertrand, B. Long-Term Snow Height Variations in Antarctica from GNSS Interferometric Reflectometry. Remote Sens. 13, 1164. https:// doi.org/10.3390/rs13061164, 2021

• Larson, K.M., M. MacFerrin, and T. Nylen, Brief Communication: Update on the GPS Reflection Technique for Measuring Snow Accumulation in Greenland, The Cryosphere, Vol. 14, 1985–1988, doi:10.5194/tc-2019-303, 2020.

Models and Simulators

• Nievinski, F.G. and K.M. Larson, An Open Source GPS Multipath Simulator in Matlab/Octave Nievinski, GPS Solutions, Vol 18(3), 473-481, doi:10.1007/s10291-014-0370-z, 2014

• Zavorotny, V., K.M. Larson, J. Braun, E.E. Small, E. Gutmann, and A. Bilich, A physical model of GPS multipath caused by land reflections: toward bare soil moisture retrievals, IEEE J-STARS, Vol. 3 (1), pp. 100-110, 10.1109/JSTARS.2009.2033608, 2010

• Nievinski, F.G. and K.M. Larson, Forward modeling of multipath for near-surface reflectometry and positioning applications, GPS Solutions,Vol 18(2), 309-322,10.1007/s10291-013-0331-y, 2014

Software

• Altuntas, C. and N. Tunalioglu, GIRAS: an open-source MATLAB-based software for GNSS-IR analysis, GPS Solutions, Vol 26(16), 1-8, doi:10.1007/s10291-021-01201-3, 2022

Vegetation

• Wei, W., K.M. Larson, E.E. Small, C. Chew, and J.J. Braun, Using Geodetic GPS Receivers to Measure Vegetation Water Content, GPS Solutions, Vol. 19(2), 237-248,doi:10.1007/s10291-014-0383-7, 2015

• Jones, M.O., J.S. Kimball, E.E. Small, and K.M. Larson, Comparing Land Surface Phenology Derived from Satellite and GPS Network Microwave Remote Sensing, Int. Journ. Biometeor., Vol. 58(6), 1305-1315, doi:10.1007/s00484-013-0726-z, 2014

• Evans, S.G., E.E. Small, and K.M. Larson, Comparison of vegetation phenology in the western United States from reflected GPS microwave signals and NDVI, Int. Journal Remote Sensing, Vol. 35(9), 2996-3017, doi:10.1080/01431161.2014.894660, 2014

Miscellaneous

• Karegar, M.A., & Kusche, J. Imprints of COVID‐19 lockdown on GNSS observations: An initial demonstration using GNSS interferometric reflectometry. Geophysical Research Letters, 47(19), e2020GL089647. 2020