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7 October 2019 Monitoring of changes in vegetation status through integration of time series of hyper-sharpened Sentinel-2 red-edge bands and information-theoretic textural features of Sentinel-1 SAR backscatter
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Abstract
A processing chain jointly employing Sentinel-1 and Sentinel-2 data is presented. It aims at monitoring changes in the status of the vegetation cover by integrating the three red-edge (RE) bands of Sentinel-2, at 20 m pixel spacing, with textural features calculated from the Interferometric Wide (IW) Ground Range Detected (GRD) product of Sentinel-1, available at 10 m pixel spacing. Hyper-sharpening on Sentinel-2 multispectral bands and modulation-based integration of Sentinel-1 SAR acquisitions are applied on a multitemporal dataset acquired before and after a recent fire event. New color-composite results of the proposed fusion procedure may be useful for visual inspection and analysis by experts in vegetation status monitoring.
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© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Aiazzi, L. Alparone, A. Arienzo, A. Garzelli, and C. Zoppetti "Monitoring of changes in vegetation status through integration of time series of hyper-sharpened Sentinel-2 red-edge bands and information-theoretic textural features of Sentinel-1 SAR backscatter", Proc. SPIE 11155, Image and Signal Processing for Remote Sensing XXV, 111550Z (7 October 2019); https://doi.org/10.1117/12.2533588
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