In this paper, we propose a processing chain jointly employing Sentinel-1 and Sentinel-2 data aimed at monitoring changes in the status of the vegetation cover by integrating the four visible and near infrared (VNIR) bands with the three rededge (RE) bands of Sentinel-2, approximately spanning the gap between Red and NIR bands (700 nm – 800 nm) with bandwidths of 15/20 nm and 20 m pixel spacing. The RE bands will be sharpened to 10 m and the resulting 7-bands, 10 m fusion product will be integrated with polarimetric features calculated from the Interferometric Wide (IW) Ground Range Detected (GRD) product of Sentinel-1, available at 10 m pixel spacing. Key point of the fusion of optical bands is the correction of atmospheric path radiance before fusion is accomplished through modulation of the interpolated band by a sharpening term achieved through the hyper-sharpening paradigm. Whenever surface reflectance data are available, haze estimation and correction can be skipped. Hyper-sharpening of Sentinel-2 multispectral (MS) bands and modulationbased integration of Sentinel-1 polarimetric synthetic aperture radar (SAR) features are applied on a multitemporal dataset acquired before and after a recent fire event.

Alparone, L., Arienzo, A., Garzelli, A., Lolli, S., Zoppetti, C. (2022). Fusion of optical and SAR satellite data for environmental monitoring: assessment of damages and disturbances originated by forest fires. In Proc. SPIE 12267, Image and Signal Processing for Remote Sensing (pp.1226701-1226712). SPIE [10.1117/12.2638984].

Fusion of optical and SAR satellite data for environmental monitoring: assessment of damages and disturbances originated by forest fires

Garzelli, Andrea
;
Zoppetti, Claudia
2022-01-01

Abstract

In this paper, we propose a processing chain jointly employing Sentinel-1 and Sentinel-2 data aimed at monitoring changes in the status of the vegetation cover by integrating the four visible and near infrared (VNIR) bands with the three rededge (RE) bands of Sentinel-2, approximately spanning the gap between Red and NIR bands (700 nm – 800 nm) with bandwidths of 15/20 nm and 20 m pixel spacing. The RE bands will be sharpened to 10 m and the resulting 7-bands, 10 m fusion product will be integrated with polarimetric features calculated from the Interferometric Wide (IW) Ground Range Detected (GRD) product of Sentinel-1, available at 10 m pixel spacing. Key point of the fusion of optical bands is the correction of atmospheric path radiance before fusion is accomplished through modulation of the interpolated band by a sharpening term achieved through the hyper-sharpening paradigm. Whenever surface reflectance data are available, haze estimation and correction can be skipped. Hyper-sharpening of Sentinel-2 multispectral (MS) bands and modulationbased integration of Sentinel-1 polarimetric synthetic aperture radar (SAR) features are applied on a multitemporal dataset acquired before and after a recent fire event.
9781510655379
9781510655386
Alparone, L., Arienzo, A., Garzelli, A., Lolli, S., Zoppetti, C. (2022). Fusion of optical and SAR satellite data for environmental monitoring: assessment of damages and disturbances originated by forest fires. In Proc. SPIE 12267, Image and Signal Processing for Remote Sensing (pp.1226701-1226712). SPIE [10.1117/12.2638984].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1219361