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Snow water equivalent estimation based on RTK-GNSS refractometry up-component bias, using Emlid Reach M2 .ENU baseline files

License: Creative Commons Zero v1.0 Universal

Python 100.00%
gnss swe snow rtk

rtk-gnss_refractometry_swe's Introduction

RTK-GNSS_Refractometry_SWE

Snow water equivalent (SWE) estimation based on RTK-GNSS (real-time-kinematic Global navigation satellite system).

The biased up-component of a short GNSS baseline between a base antenna (mounted on a pole) and a rover antenna (mounted underneath the snowpack) is used in this approach. Emlid Reach M2 receivers are used in a field setup, connected to ublox ANN-MB1 multi-frequency and multi-GNSS antennas. The receivers are set-up in RTK mode (base and rover settings) and the baseline vector (in ENU: East, North, Up) is logged by the receiver and stored in a .ENU file.

The python script contains a workflow from .ENU solution files reading to filtered and plotted SWE timeseries.

The method follows Steiner et al. (2020, 2022):

Steiner, L.; Studemann, G.; Grimm, D.; Marty, C.; Leinss, S. (Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLib. 2022, submitted to Sensors.

L. Steiner, M. Meindl, C. Marty and A. Geiger, "Impact of GPS Processing on the Estimation of Snow Water Equivalent Using Refracted GPS Signals," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 1, pp. 123-135, Jan. 2020, doi: 10.1109/TGRS.2019.2934016.

Example data is publicly available on:

Studemann, G.; Marty, C.; Steiner, L.; Grimm, D. GNSS refractometry data from Davos Laret, Switzerland in 2021/22. Zenodo, 2022. embargoed until January 2023, doi:10.5281/zenodo.6607553.443

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