Valerio Pampanoni
Orcid: 0000-0002-9946-1303
According to our database1,
Valerio Pampanoni
authored at least 14 papers
between 2020 and 2024.
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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
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
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
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
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