Search Results - "Raparelli, E."
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Assessing the driving role of the anthropogenic landscape on the distribution of the Xylella fastidiosa-driven “olive quick decline syndrome” in Apulia (Italy)
Published in The Science of the total environment (20-10-2023)“…The plant pathogen Xylella fastidiosa (Xf) is a significant threat to various economically important tree cash crops. Although previously found only in the…”
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Journal Article -
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Exploring the role of land degradation on agricultural land use change dynamics
Published in The Science of the total environment (15-09-2018)“…The role that land-use and socioeconomic factors exert on consolidating land degradation (LD) processes is a major research issue. However, intensity and type…”
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Present-day radiative effect from radiation-absorbing aerosols in snow
Published in Atmospheric chemistry and physics (06-05-2021)“…Black carbon (BC), brown carbon (BrC), and soil dust are the most important radiation-absorbing aerosols (RAAs). When RAAs are deposited on the snowpack, they…”
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Snow-Mantle Remote Sensing from Spaceborne Sar Interferometry Using a Model-Based Synergetic Retrieval Approach in Central Apennines
Published in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (17-07-2022)“…Using Sentinel-1 satellite data, differential interferometric synthetic-aperture-radar (DInSAR) retrieval techniques at C band are presented to estimate…”
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Conference Proceeding -
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Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models
Published in The cryosphere (07-02-2023)“…Italy is a territory characterized by complex topography with the Apennines mountain range crossing the entire peninsula and its highest peaks in central…”
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Using Artificial Neural Networks to Couple Satellite C-band Synthetic Aperture Radar Interferometry and Alpine3D Numerical Model for the Estimation of Snow Cover Extent, Height and Density
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-01-2023)“…This work presents a new approach for the estimation of snow extent, height and density in complex orography regions, which combines differential…”
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Journal Article