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2024 Contributo in Atti di convegno restricted access

Detection of Critical Areas Prone to Land Degradation Using Prisma: The Metaponto Coastal Area in South Italy Test Case

Pignatti, Stefano ; Carfora, M. F. ; Coluzzi, R. ; D'Amato, L. ; De Feis, I. ; Fonnegra Mora, D. ; Laneve, G. ; Imbrenda, V. ; Lanfredi, M. ; Mirzaei, S. ; Palombo, A. ; Pascucci, S. ; Rossi, F. ; Santini, F. ; Simoniello, T. ; Vanguri, R

Land cover, or the biophysical cover of the earth's surface, plays an essential role in climate and environmental dynamics. Processes involving land cover change, are among the factors that most threaten the ecosystems sustainability and services. The objective of the work is to explore the potential of the PRISMA multi-temporal hyperspectral imagery in generating new EO products to complement/improve the products provided by Copernicus' Land Monitoring Service for the analysis and monitoring of complex and fragile ecosystems such as the coastal Metaponto (Southern Italy) by estimating of the land biological and economic productivity loss and land degradation vulnerability. Preliminary results showed that an improvement in ecosystem mapping is supported by the use of Artificial Neural Networks (ANN), k-Nearest Neighbors (KNN) and Support Vector Machines (SVM) and a hybrid approach to define the vegetation trait, leads to significant improvement in the damage assessment and land degradation assessment

PRISMA, land degradation, vegetation traits, spectral index

CNR IRIS

2015 Contributo in Atti di convegno metadata only access

Environmental products overview of the Italian hyperspectral prisma mission: The SAP4PRISMA project

S Pignatti ; N Acito ; U Amato ; R Casa ; F Castaldi ; R Coluzzi ; R De Bonis ; M Diani ; V Imbrenda ; G Laneve ; S Matteoli ; A Palombo ; S Pascucci ; F Santini ; T Simoniello ; C Ananasso ; G Corsini ; V Cuomo

The SAP4PRISMA project research activities aimed at supporting the Italian hyperspectral PRISMA mission by developing preliminary processing chains suitable for PRISMA to obtain high level hyperspectral data products for agriculture, land degradation, natural and human hazards.

Hyperspectral imaging Vegetation mapping Agriculture SAP4PRISMA PRISMA mission

CNR IRIS