Luca Cenci

Orcid: 0000-0002-5192-1526

According to our database1, Luca Cenci authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Analysing the Relationship between Spatial Resolution, Sharpness and Signal-to-Noise Ratio of Very High Resolution Satellite Imagery Using an Automatic Edge Method.
Remote. Sens., March, 2024

2022
A Fully Automatic Method for on-Orbit Sharpness Assessment: a Case Study Using Prisma Hyperspectral Satellite Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Evaluating the Copernicus Dem Dataset Potential for the Identification of (Flash) Flood-Prone Areas by Using a Geomorphological Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Analyzing the Impact of the Different Instances of the Copernicus DEM Dataset on the Orthorectification of Vhr Optical Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Presenting a Semi-Automatic, Statistically-Based Approach to Assess the Sharpness Level of Optical Images from Natural Targets via the Edge Method. Case Study: The Landsat 8 OLI-L1T Data.
Remote. Sens., 2021

Describing the Quality Assessment Workflow Designed for DEM Products Distributed Via the Copernicus Programme. Case Study: The Absolute Vertical Accuracy of the Copernicus DEM Dataset in Spain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Monitoring Freeze-Thaw State by Means of GNSS Reflectometry: An Analysis of TechDemoSat-1 Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

On-Orbit Image Sharpness Assessment Using the Edge Method: Methodological Improvements for Automatic Edge Identification and Selection from Natural Targets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Potential of GNSS Reflectometry for Freeze-Thaw Monitoring: a Study of Techdemosat-1 Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations.
Remote. Sens., 2019

2018
Defining a Trade-off Between Spatial and Temporal Resolution of a Geosynchronous SAR Mission for Soil Moisture Monitoring.
Remote. Sens., 2018

A surface soil moisture mapping service at national (Italian) scale based on Sentinel-1 data.
Environ. Model. Softw., 2018

Spatio-Temporal Requirements of a Geosynchronous SAR Soil Moisture Product for Hydrological Applications.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Exploiting Sentinel 1 data for improving (flash) flood modelling via data assimilation techniques.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Monitoring reservoirs' water level from space for flood control applications. A case study in the Italian Alpine region.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Assimilation of H-SAF Soil Moisture Products for Flash Flood Early Warning Systems. Case Study: Mediterranean Catchments.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Satellite soil moisture assimilation: Preliminary assessment of the sentinel 1 potentialities.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Assessing the daedalus sensor's performance by means of spectral mixture analysis in the Migliarino, San Rossore, Massaciuccoli Regional Park (Italy).
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Assimilation of remote sensing observations into a continuous distributed hydrological model: Impacts on the hydrologic cycle.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Remote sensing for coastal risk reduction purposes: Optical and microwave data fusion for shoreline evolution monitoring and modelling.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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