Sviluppo di algoritmi per la stima di parametri funzionali della vegetazione terrestre da dati PRISMA in ambito agro-forestale

PRIS4VEG

ABSTRACT

The PRIS4VEG project aims to create the methodological basis for the development of a hyperspectral satellite PRISMA data processing chain for (i) the generation of level 3 vegetation products, i.e. geophysical/geochemical/biochemical parameters derived from PRISMA reflectance data (At-surface Reflectance, L2D product) and for (ii) the evaluation of the contribution of these L3 level products in the generation of higher level products (L4), i.e. products that are the result of further processing levels (e.g. statistical analysis or multi-level integration) or assimilation into agronomic/environmental modelling. The achievement of these objectives will be ensured by the achievement of the following specific objectives:

• O1 Development of algorithms for the spatio-temporal estimation of biophysical, biochemical and ecophysiological functional parameters from PRISMA level 2 hyperspectral and panchromatic data and assessment of the accuracy of the estimates in long-term monitoring sites, managed or available to the proponents;
• O2 Production of PRIS4VEG maps of functional parameters at study sites, both agricultural and forestry (PRIS4VEG L3 products)
• O3 Development of methods for the assimilation of PRIS4VEG L3 products into crop models for the realisation of higher level products (PRIS4VEG L4) for food security applications in agriculture;
• O4 Optimisation of statistical methods for the generation of PRIS4VEG L4 indicators of the state of forest ecosystem functioning;
• O5 Demonstrating the value of such products for environmental monitoring applications and in support of sustainable agro-practices.

Identification Code: ASI Contract No. 2022-5-U. 0. CUP no. F43C2200005

Total project cost: € 399.100,00.

Total cost DAFNE:… € 70.000,00 (cofin al 50% : finanziamento ASI € 35.000,00)

DAFNE Role: Operational Unit

Scientific Supervisor DAFNE: Prof. Raffaele Casa

Email:  rcasa@unitus.it

Start date: 12/04/2022

End date: 12/11/2024

LINK

https://www.asi.it/wp-content/uploads/2023/12/Panigada.pdf

PARTNERSHIP

Università degli Studi di Milano – Bicocca (UNIMIB) coordinamento Prof.ssa Micol Rossini

• Consiglio Nazionale delle Ricerche-Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR-IREA), Milan, Italy (SUBCO)
• Consiglio Nazionale delle Ricerche- Istituto di Metodologie per l’Analisi Ambientale (CNR-IMAA), Rome, Italy (SUBCO)
• Department of Agricultural and Forestry Sciences (DAFNE), University of Tuscia, Viterbo, Italy (SUBCO)

and one foreigner (who does not produce a financial request):

• Department of Natural Resources Faculty of Geo-Information Science and Earth Observation, University of Twente (NR-ITC), Nederland (SUBCO) (as required by the call).

This research was funded by the Italian Space Agency ASI within the PRIS4VEG project Contract/Agreement n. N. 2022-5-U.0 CUP n. F43C2200005. Data generated by the PRIS4VEG Consortium under a license from ASI Original PRISMA Product – © Italian Space Agency (ASI) – (2022).