Davide Festa

About Davide Festa

Davide Festa, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of Microwave Remote Sensing, SAR.

His recent articles reflect a diverse array of research interests and contributions to the field:

Surface Soil Moisture retrieval via change detection using SAOCOM L-band data over the Po Valley (Italy)

Quantitative vulnerability assessment of buildings susceptible to slow-kinematic landslides

The Potential of Satellite Interferometry for Geohazard Assessment in Cultural Heritage Sites

Spatial and temporal analysis of interferometric data for ground deformation detection at regional scale

EGMStream, a desktop app for EGMS data downstream

Spatial and temporal screening of slope motion patterns in alpine environment via unsupervised analysis of large InSAR datasets

30 years of ground motions in the UK: lessons learnt to produce a national interpreted ground deformation map.

Update of the Italian National Landslide Inventory Map by exploiting Sentinel-1 P-SBAS data

Davide Festa Information

University

Position

___

Citations(all)

77

Citations(since 2020)

77

Cited By

0

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Davide Festa Skills & Research Interests

Microwave Remote Sensing

SAR

Top articles of Davide Festa

Surface Soil Moisture retrieval via change detection using SAOCOM L-band data over the Po Valley (Italy)

2024/3/7

Quantitative vulnerability assessment of buildings susceptible to slow-kinematic landslides

2024/3/7

The Potential of Satellite Interferometry for Geohazard Assessment in Cultural Heritage Sites

2023/2/11

Spatial and temporal analysis of interferometric data for ground deformation detection at regional scale

2023

Davide Festa
Davide Festa

H-Index: 0

EGMStream, a desktop app for EGMS data downstream

Remote Sensing

2023/5/15

Davide Festa
Davide Festa

H-Index: 0

Matteo Del Soldato
Matteo Del Soldato

H-Index: 15

Spatial and temporal screening of slope motion patterns in alpine environment via unsupervised analysis of large InSAR datasets

EGU General Assembly Conference Abstracts

2023/5

30 years of ground motions in the UK: lessons learnt to produce a national interpreted ground deformation map.

EGU General Assembly Conference Abstracts

2023/5

Davide Festa
Davide Festa

H-Index: 0

Update of the Italian National Landslide Inventory Map by exploiting Sentinel-1 P-SBAS data

EGU General Assembly Conference Abstracts

2023/5

Sentinel-1 P-SBAS data for the update of the state of activity of national landslide inventory maps

Landslides

2023/5

Unsupervised detection of InSAR time series patterns based on PCA and K-means clustering

International Journal of Applied Earth Observation and Geoinformation

2023/4/1

Automated classification of A-DInSAR-based ground deformation by using random forest

GIScience & Remote Sensing

2022/12/31

Review of satellite radar interferometry for subsidence analysis

2022/12/1

Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study

ISPRS Journal of Photogrammetry and Remote Sensing

2022/7/1

Satellite Radar Interferometry for Monitoring Historic Urban Fabric: Lucca and Florence Test Cities

2022/5/16

Silvia Bianchini
Silvia Bianchini

H-Index: 27

Davide Festa
Davide Festa

H-Index: 0

Considerations on regional continuous Sentinel-1 monitoring services over three different regions

EGU General Assembly Conference Abstracts

2022/5

Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings

2021/10/1

From Sentinel-1 data processing to field survey: an operating workflow for the continuous monitoring of the Earth surface deformations

EGU General Assembly Conference Abstracts

2021/4

Landslide mapping and monitoring with satellite interferometry

Understanding and Reducing Landslide Disaster Risk: Volume 3 Monitoring and Early Warning 5th

2021

From Satellite Images to Field Survey: A Complete Scheme of Landslide InSAR Monitoring

Understanding and Reducing Landslide Disaster Risk: Volume 2 From Mapping to Hazard and Risk Zonation 5th

2021

Continuous monitoring of ground deformational scenario of Veneto region (Italy) through Sentinel-1 data

EGU General Assembly Conference Abstracts

2020/5

See List of Professors in Davide Festa University(Università degli Studi di Firenze)

Co-Authors

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