USE OF L-BAND MULTITEMPORAL SAR DATA FOR LANDSLIDE MONITORING

被引：1

作者：

Realer, Diego ^{[1
]}

Imperatore, Pasquale ^{[1
]}

Loran, Damian ^{[2
,3
]}

Pauciullo, Antonio ^{[1
]}

Pepe, Antonio ^{[1
]}

Sansosti, Eugenio ^{[1
]}

Casanova, Edinson Andres Solarte ^{[1
]}

Verde, Simona ^{[1
]}

Fornaro, Gianfranco ^{[1
]}

机构：

[1] Natl Res Council Italy IREA CNR, Inst Elect Sensing Environm, Naples, Italy

[2] Natl Univ Misiones, Misiones, Argentina

[3] Inst Altos Estudios Espaci Mario Gulich CONAE UNC, Cordoba, Argentina

来源：

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

关键词：

SAOCOM; L-Band; forest tomography;

D O I：

10.1109/IGARSS52108.2023.10282735

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In the last two decades, satellite Multi-Temporal Differential Interferometric SAR (DInSAR) techniques have become consolidated tools for studying slow-moving landslides. Moreover, the availability of sensors using different band frequencies and the development of advanced processing algorithms have constantly improved. In this work we discuss the first results of an experimental analysis carried out on multi-temporal multi-baseline L-Band data acquired by the newly launched SAOCOM satellites in the framework of the MEFISTO project founded by the Italian Space Agency (ASI), one of the main aims of which was to test the potentiality of multi-frequency (X, C and L bands) DInSAR data processed with different methodologies applied to a multi-scale slow-landslide analysis.

引用

页码：1573 / 1576

页数：4

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