Exploitation of Satellite A-DInSAR Time Series for Detection, Characterization and Modelling of Land Subsidence

Author： Bonì Roberta   Meisina Claudia   Cigna Francesca   Herrera Gerardo   Notti Davide   Bricker Stephanie   McCormack Harry   Tomás Roberto   Béjar-Pizarro Marta   Mulas Joaquín   Ezquerro Pablo  

Publisher： MDPI

E-ISSN： 2076-3263|7|2|25-25

ISSN： 2076-3263

Source： Geosciences, Vol.7, Iss.2, 2017-04, pp. : 25-25

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis

By Bonì Roberta   Pilla Giorgio   Meisina Claudia  

Remote Sensing, Vol. 8, Iss. 8, 2016-08 ,pp. : 686-686

MDPI

Access to resources Recommend Favorite

Detection of Land Subsidence in Kathmandu Valley, Nepal, Using DInSAR Technique

By Bhattarai Richa   Alifu Haireti   Maitiniyazi Aikebaier   Kondoh Akihiko  

Land, Vol. 6, Iss. 2, 2017-06 ,pp. : 39-39

MDPI

Access to resources Recommend Favorite

Detection of Land Subsidence Associated with Land Creation and Rapid Urbanization in the Chinese Loess Plateau Using Time Series InSAR: A Case Study of Lanzhou New District

By Chen Guan   Zhang Yi   Zeng Runqiang   Yang Zhongkang   Chen Xi   Zhao Fumeng   Meng Xingmin  

Remote Sensing, Vol. 10, Iss. 2, 2018-02 ,pp. : 270-270

MDPI

Access to resources Recommend Favorite

Landslides and Subsidence Assessment in the Crati Valley (Southern Italy) Using InSAR Data

By Cianflone Giuseppe   Tolomei Cristiano   Brunori Carlo Alberto   Monna Stephen   Dominici Rocco  

Geosciences, Vol. 8, Iss. 2, 2018-02 ,pp. : 67-67

MDPI

Access to resources Recommend Favorite

Subsidence Trends of Volturno River Coastal Plain (Northern Campania, Southern Italy) Inferred by SAR Interferometry Data

By Matano Fabio   Sacchi Marco   Vigliotti Marco   Ruberti Daniela  

Geosciences, Vol. 8, Iss. 1, 2018-01 ,pp. : 8-8

MDPI

Access to resources Recommend Favorite