METHOD AND ACCURACY OF ESTIMATING SNOW DEPTH USING SENTINEL-1 SAR DATA IN NIIGATA PREFECTURE IN JAPAN

被引：0

作者：

Abo, Hidenori ^{[1
]}

Osawa, Takahiro ^{[2
,3
]}

Ge, Pinglan ^{[1
]}

机构：

[1] Tokyo Elect Power Serv, Tokyo, Japan

[2] Yamaguchi Univ, Yamaguchi, Japan

[3] Japan Aerosp Explorat Agcy, Tokyo, Japan

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

snow depth; Sentinel-1; backscattering coefficient;

D O I：

10.1109/IGARSS52108.2023.10283287

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A method for estimating snow depth using Sentinel-1 SAR data was investigated, and its estimation accuracy was verified using observations at a snow depth station in a heavy snowfall area in Niigata Prefecture, Japan. A relation was observed between the snow depth and the backscatter coefficients of the VV and VH polarizations, for flat fields and even slopes covered with trees, and it was confirmed that the snow depth could be estimated from the backscatter coefficients. The estimation accuracy at the observatory is about 20 cm, which could be used to determine the snow cover over a wide area of the catchment for estimating the amount of snowmelt.

引用

页码：121 / 124

页数：4

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