The green infrastructure intended as networks of natural and semi-natural spaces capable of maximizing these services promotes an integrated approach to land management. By strengthening the green infrastructures, valuable landscapes can be maintained or created, which form the basis of SE (Ecosystem Services) offered by the soil. There is a need to plan the green infrastructures taking into account the spatial and temporal variability of the SEs offered by the different types of land use. This work proposes a spatially explicit methodology for supporting the planning and monitoring of green infrastructures, based on the use of Sentinel-2 satellite images derived from the Copernicus Program. The methodology, tested on the region of GAL Colline Salernitane, showed the potential of using about vegetation indices, integrated into a spatial decision support system, to guide the plan

Una proposta metodologica basata sugli indici di vegetazione a supporto della pianificazione delle infrastrutture verdi

Grimaldi Michele;Fasolino Isidoro;Carpenito Stefano;Troisi Eligio
2022-01-01

Abstract

The green infrastructure intended as networks of natural and semi-natural spaces capable of maximizing these services promotes an integrated approach to land management. By strengthening the green infrastructures, valuable landscapes can be maintained or created, which form the basis of SE (Ecosystem Services) offered by the soil. There is a need to plan the green infrastructures taking into account the spatial and temporal variability of the SEs offered by the different types of land use. This work proposes a spatially explicit methodology for supporting the planning and monitoring of green infrastructures, based on the use of Sentinel-2 satellite images derived from the Copernicus Program. The methodology, tested on the region of GAL Colline Salernitane, showed the potential of using about vegetation indices, integrated into a spatial decision support system, to guide the plan
2022
9791221802238
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4811834
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