ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-3-W7-47-2019 GROUND PENETRATING RADAR DATA INTERPRETATION USING ELECTROMAGNETIC FIELD ANALYSIS FOR SEA ICE THICKNESS MEASUREMENT Matsumoto M. 1 Yoshimura M. 2 Naoki K. 3 Cho K. 3 Wakabayashi H. 4 PASCO CORPORATION, 2-8-10, Higashiyama, Meguro-ku, Tokyo, Japan Center for Spatial Information Science, The University of Tokyo, Meguro-ku, Tokyo, Japan Tokai University, 2-28-4, Tomigaya, Shibuya-ku, Tokyo, Japan Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, Japan 01 03 2019 XLII-3/W7 47 50 Copyright: © 2019 M. Matsumoto et al. 2019 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-3-W7/47/2019/isprs-archives-XLII-3-W7-47-2019.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-3-W7/47/2019/isprs-archives-XLII-3-W7-47-2019.pdf

Observation of sea ice thickness by remote sensing is one of key issues to understand an effect of global warming. However, ground truth must be necessary to discuss this kind of approach. Although there are several methods to acquire ice thickness, Ground Penetrating Radar (GPR) can be good solution because it can discriminate snow-ice and ice-sea water interface thanks to comparative higher spatial resolution than the other methods. In this paper, we carried out GPR measurement in brackish lake and an electromagnetic field analysis in order to interpret the GPR data. The simulation model was assumed considering the actual snow and ice thickness acquired in field measurement. From the simulation results, although it seems difficult to identify the reflection at snow and ice interface due to a thin layer thickness and a low dielectric constant, snow and ice thickness may be estimated by using multiple reflection components.