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Valerio Pampanoni
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2020 – today
- 2024
- [j4]Giovanni Laneve
, Marco Di Fonzo, Valerio Pampanoni
Progress and Limitations in the Satellite-Based Estimate of Burnt Areas. Remote. Sens. 16(1): 42 (2024) - [j3]Valerio Pampanoni
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. 16(6): 1041 (2024) - [c10]Alvise Ferrari
Monitoring Methane Emissions from Landfills Using Prisma Imagery. IGARSS 2024: 3663-3667 - [c9]Alvise Ferrari
Automating Crop-Field Segmentation in High-Resolution Satellite Images: A U-Net Approach with Optimized Multitemporal Canny Edge Detection. IGARSS 2024: 4094-4098 - [c8]Valerio Pampanoni, Giovanni Laneve, Simone Saquella, Alvise Ferrari
Using Prosail Look-Up Tables to Train Random Forests Regressors for Fast Live Fuel Moisture Retrieval. IGARSS 2024: 4526-4530 - 2023
- [c7]Giovanni Laneve, Marco Di Fonzo, Valerio Pampanoni, Ramon Bueno, Giancarlo Santilli:
Progress and Limitations in the Satellite based Estimate of Burned Areas. IGARSS 2023: 1436-1439 - [c6]Valerio Pampanoni, Giovanni Laneve, Simone Saquella:
Testing a Novel Scalable-Resolution Fire Danger Index Based on Sentinel Imagery: The Montiferru Megafire Case-Study. IGARSS 2023: 2524-2527 - [c5]Valerio Pampanoni, Giovanni Laneve, Domingos Xavier Viegas
Early Validation of A Live Fuel Moisture Content Product Based on Sentinel-2 and Sentinel-3 Images. IGARSS 2023: 3042-3045 - [c4]Simone Saquella, Alvise Ferrari
Detection of Irrigated and Rainfed Crops with Machine Learning Multivariate Time-Series Object-Based Classification Using Sentinel-2 Imagery. IGARSS 2023: 3438-3441 - 2022
- [c3]Valerio Pampanoni
Evaluating Sentinel-3 Viability for Vegetation Canopy Monitoring and Fuel Moisture Content Estimation. IGARSS 2022: 5634-5637 - [c2]Valerio Pampanoni
A Fully Automatic Method for on-Orbit Sharpness Assessment: a Case Study Using Prisma Hyperspectral Satellite Images. IGARSS 2022: 7226-7229 - 2021
- [j2]Luca Cenci
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. 13(8): 1593 (2021) - 2020
- [j1]Giovanni Laneve
The Daily Fire Hazard Index: A Fire Danger Rating Method for Mediterranean Areas. Remote. Sens. 12(15): 2356 (2020) - [c1]Valerio Pampanoni
On-Orbit Image Sharpness Assessment Using the Edge Method: Methodological Improvements for Automatic Edge Identification and Selection from Natural Targets. IGARSS 2020: 6010-6013
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