WIDE-SCALEWATER BODIES MAPPING USING MULTI-TEMPORAL SENTINEL-1 SAR DATA

被引：0

作者：

Marzi, David ^{[1
]}

Gamba, Paolo ^{[1
]}

机构：

[1] Univ Pavia, Dept Elect Comp & Biomed Engn, Pavia, Italy

来源：

2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年

关键词：

Climate Change Initiative (CCI); SAR; Sentinel-1; time series analysis; k-means;

D O I：

10.1109/IGARSS47720.2021.9553072

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Within the European Space Agency (ESA) Climate Change Initiative (CCI) project framework it is fundamental to generate High Resolution (HR) annual surface water maps. In this work we present an innovative approach aimed at this task using multi-temporal Sentinel-1 SAR data. Mapping water bodies with dual-polarized radar data everywhere in the world is challenging, as the dual-pol backscatter intensity signal is strongly affected by many factors such as terrain an acquisition geometry. In this study, an existing Medium Resolution Land Cover (MRLC) map is ecploited to automatically collect sample points and build a k-means unsupervised model. A qualitative analysis is first performed in three test areas. Preliminary quantitative analysis is then presented, showing 97% extraction accuracy.

引用

页码：6032 / 6035

页数：4

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