The main objectives of the Sentinel-3 mission are to support ocean forecasting systems, environmental and climate monitoring. However, the coverage of the visible, near-infrared and short-wave infrared portion of the electromagnetic spectrum with a 300 meter resolution and a revisit period of less than 2 days make it very appealing also for vegetation monitoring. In this paper we explore the possibility of using the Sentinel-3 Synergy surface directional reflectances and the PROSAIL model to reliably estimate biophysical variables in general and live fuel moisture content in particular. The latter is a fundamental variable in fire behaviour models and in fire danger assessment, and consequently of high interest in fire management activities. We performed a Global Sensitivity Analysis to identify the most significant PROSAIL parameters in each Synergy channel, and tested the results by implementing a simple Look-Up Table based retrieval algorithm. The outcome shows the potential of biophysical parameter estimation based on this Sentinel-3 product.

A Fully Automatic Method for on-Orbit Sharpness Assessment: a Case Study Using Prisma Hyperspectral Satellite Images / Pampanoni, Valerio; Cenci, Luca; Laneve, Giovanni; Santella, Carla; Boccia, Valentina. - (2022), pp. 7226-7229. (Intervento presentato al convegno IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Kuala Lumpur) [10.1109/igarss46834.2022.9883186].

A Fully Automatic Method for on-Orbit Sharpness Assessment: a Case Study Using Prisma Hyperspectral Satellite Images

Valerio Pampanoni;Luca Cenci;Giovanni Laneve;
2022

Abstract

The main objectives of the Sentinel-3 mission are to support ocean forecasting systems, environmental and climate monitoring. However, the coverage of the visible, near-infrared and short-wave infrared portion of the electromagnetic spectrum with a 300 meter resolution and a revisit period of less than 2 days make it very appealing also for vegetation monitoring. In this paper we explore the possibility of using the Sentinel-3 Synergy surface directional reflectances and the PROSAIL model to reliably estimate biophysical variables in general and live fuel moisture content in particular. The latter is a fundamental variable in fire behaviour models and in fire danger assessment, and consequently of high interest in fire management activities. We performed a Global Sensitivity Analysis to identify the most significant PROSAIL parameters in each Synergy channel, and tested the results by implementing a simple Look-Up Table based retrieval algorithm. The outcome shows the potential of biophysical parameter estimation based on this Sentinel-3 product.
2022
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Sentinel-3; OLCI; SLSTR; Synergy; PROSPECT-D; 4SAIL; vegetation; biophysical parameters; live fuel moisture content
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A Fully Automatic Method for on-Orbit Sharpness Assessment: a Case Study Using Prisma Hyperspectral Satellite Images / Pampanoni, Valerio; Cenci, Luca; Laneve, Giovanni; Santella, Carla; Boccia, Valentina. - (2022), pp. 7226-7229. (Intervento presentato al convegno IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium tenutosi a Kuala Lumpur) [10.1109/igarss46834.2022.9883186].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1665004
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