Valerio Pampanoni

Orcid: 0000-0002-9946-1303

According to our database1, Valerio Pampanoni authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

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

Progress and Limitations in the Satellite-Based Estimate of Burnt Areas.
Remote. Sens., January, 2024

Using Prosail Look-Up Tables to Train Random Forests Regressors for Fast Live Fuel Moisture Retrieval.
Proceedings of the IGARSS 2024, 2024

Automating Crop-Field Segmentation in High-Resolution Satellite Images: A U-Net Approach with Optimized Multitemporal Canny Edge Detection.
Proceedings of the IGARSS 2024, 2024

Monitoring Methane Emissions from Landfills Using Prisma Imagery.
Proceedings of the IGARSS 2024, 2024

2023
Detection of Irrigated and Rainfed Crops with Machine Learning Multivariate Time-Series Object-Based Classification Using Sentinel-2 Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Early Validation of A Live Fuel Moisture Content Product Based on Sentinel-2 and Sentinel-3 Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Testing a Novel Scalable-Resolution Fire Danger Index Based on Sentinel Imagery: The Montiferru Megafire Case-Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Progress and Limitations in the Satellite based Estimate of Burned Areas.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Evaluating Sentinel-3 Viability for Vegetation Canopy Monitoring and Fuel Moisture Content Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

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

2020
The Daily Fire Hazard Index: A Fire Danger Rating Method for Mediterranean Areas.
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


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