What question did this study set out to answer?

To assess the value of integrating Sentinel-2 multispectral imagery with Landsat-8 and Sentinel-1 radar data for vegetation and heritage site monitoring.

September 1, 2016ACTA IMEKOOpen Access

Contribution of Sentinel-2 data for applications in vegetation monitoring

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Authors

PAPia AddabboGiustino Fortunato University MFMariano FocaretaUniversity of Sannio SMSalvo MarcuccioUniversity of Pisa

Discussion

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Implication

Satellite imagery evaluation demonstrates effective multi-sensor data fusion for vegetation monitoring in heritage parklands, indicating enhanced detection of environmental and anthropogenic changes.

Key Points

To assess the value of integrating Sentinel-2 multispectral imagery with Landsat-8 and Sentinel-1 radar data for vegetation and heritage site monitoring.
Integrated optical and multispectral imagery from Sentinel-2 and Landsat-8 with synthetic aperture radar (SAR) data from Sentinel-1.
Calculated and evaluated diverse vegetation indices across the gardens and parkland surrounding the Royal Palace of Caserta.
Multi-sensor data fusion successfully generated a wide array of vegetation indices capable of tracking plant health and structural characteristics.
Joint processing of optical and radar platforms demonstrated qualitative capacity to detect territory boundary changes, vegetation degradation, and natural and human-induced land modifications.

Cite This Study

Addabbo et al. (2016) studied this question.

synapsesocial.com/papers/6a01d91c897643a80dcb1324 https://doi.org/10.21014/acta_imeko.v5i2.352

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Implication

Satellite imagery evaluation demonstrates effective multi-sensor data fusion for vegetation monitoring in heritage parklands, indicating enhanced detection of environmental and anthropogenic changes.