ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY AND ECOSYSTEM SERVICES IN THE RURAL AND NATURAL LANDSCAPE OF LAZIO, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES (Q4138562): Difference between revisions
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(Changed label, description and/or aliases in es, and other parts: Adding Spanish translations) |
(Changed label, description and/or aliases in en, and other parts: Adding English translations) |
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ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY AND ECOSYSTEM SERVICES IN THE RURAL AND NATURAL LANDSCAPE OF LAZIO, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES | |||||||||||||||
| Property / summary | |||||||||||||||
THE PROJECT PROPOSES THE ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY, AND ECOSYSTEM SERVICES OF THE RURAL AND NATURAL LANDSCAPE OF THE LAZIO REGION, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES TO INTEGRATE SATELLITE, PROXIMAL AND IN SITU DATA, AND DEVELOPING RISK ANALYSIS AND EARLY WARNING MODELS. THE ANALYSES WILL BE CARRIED OUT ON CASE STUDIES OF THE REGIONAL TERRITORY, IN THE ENVIRONMENT OF HIGH PERFORMANCE COMPUTING (HPC) OF THE UNIVERSITY OF TUSCIA AND IN COLLABORATION WITH CINECA, USING INNOVATIVE PROTOCOLS AND ALGORITHMS POTENTIALLY REPLICABLE IN OTHER CONTEXTS. THE PROJECT IS BASED ON COLLABORATION WITH LOCAL AUTHORITIES AND ORGANISATIONS, REGIONAL AGENCIES, MICRO-ENTERPRISES AND RESEARCH INSTITUTIONS, PROMOTING NETWORKING AND TECHNOLOGICAL INNOVATION IN THE REGION. INNOVATION IS BASED ON THE USE OF NEW SATELLITE DATA (PRISM ASI HYPERSPECTRAL, RADAR AND COPERNICUS MULTISPECTRAL), ON THE USE OF ALGORITHMS AND COMPLEX MODELS FOR A (English) | |||||||||||||||
| Property / summary: THE PROJECT PROPOSES THE ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY, AND ECOSYSTEM SERVICES OF THE RURAL AND NATURAL LANDSCAPE OF THE LAZIO REGION, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES TO INTEGRATE SATELLITE, PROXIMAL AND IN SITU DATA, AND DEVELOPING RISK ANALYSIS AND EARLY WARNING MODELS. THE ANALYSES WILL BE CARRIED OUT ON CASE STUDIES OF THE REGIONAL TERRITORY, IN THE ENVIRONMENT OF HIGH PERFORMANCE COMPUTING (HPC) OF THE UNIVERSITY OF TUSCIA AND IN COLLABORATION WITH CINECA, USING INNOVATIVE PROTOCOLS AND ALGORITHMS POTENTIALLY REPLICABLE IN OTHER CONTEXTS. THE PROJECT IS BASED ON COLLABORATION WITH LOCAL AUTHORITIES AND ORGANISATIONS, REGIONAL AGENCIES, MICRO-ENTERPRISES AND RESEARCH INSTITUTIONS, PROMOTING NETWORKING AND TECHNOLOGICAL INNOVATION IN THE REGION. INNOVATION IS BASED ON THE USE OF NEW SATELLITE DATA (PRISM ASI HYPERSPECTRAL, RADAR AND COPERNICUS MULTISPECTRAL), ON THE USE OF ALGORITHMS AND COMPLEX MODELS FOR A (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
| Property / summary: THE PROJECT PROPOSES THE ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY, AND ECOSYSTEM SERVICES OF THE RURAL AND NATURAL LANDSCAPE OF THE LAZIO REGION, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES TO INTEGRATE SATELLITE, PROXIMAL AND IN SITU DATA, AND DEVELOPING RISK ANALYSIS AND EARLY WARNING MODELS. THE ANALYSES WILL BE CARRIED OUT ON CASE STUDIES OF THE REGIONAL TERRITORY, IN THE ENVIRONMENT OF HIGH PERFORMANCE COMPUTING (HPC) OF THE UNIVERSITY OF TUSCIA AND IN COLLABORATION WITH CINECA, USING INNOVATIVE PROTOCOLS AND ALGORITHMS POTENTIALLY REPLICABLE IN OTHER CONTEXTS. THE PROJECT IS BASED ON COLLABORATION WITH LOCAL AUTHORITIES AND ORGANISATIONS, REGIONAL AGENCIES, MICRO-ENTERPRISES AND RESEARCH INSTITUTIONS, PROMOTING NETWORKING AND TECHNOLOGICAL INNOVATION IN THE REGION. INNOVATION IS BASED ON THE USE OF NEW SATELLITE DATA (PRISM ASI HYPERSPECTRAL, RADAR AND COPERNICUS MULTISPECTRAL), ON THE USE OF ALGORITHMS AND COMPLEX MODELS FOR A (English) / qualifier | |||||||||||||||
point in time: 31 January 2022
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Revision as of 09:49, 31 January 2022
Project Q4138562 in Italy
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY AND ECOSYSTEM SERVICES IN THE RURAL AND NATURAL LANDSCAPE OF LAZIO, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES |
Project Q4138562 in Italy |
Statements
36,288.0 Euro
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72,576.0 Euro
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50.0 percent
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UNIVERSITA' DEGLI STUDI DELLA TUSCIA
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IL PROGETTO PROPONE L'ANALISI DEGLI IMPATTI CLIMATICI SULLE PRODUZIONI AGRICOLE, FORESTALI, E SUI SERVIZI ECOSISTEMICI DEL PAESAGGIO RURALE E NATURALE DELLA REGIONE LAZIO, AVVALENDOSI DI TECNOLOGIE DI BIG DATA ANALYSIS E MACHINE LEARNING PER INTEGRARE DATI SATELLITARI, PROSSIMALI E IN SITU, E SVILUPPANDO MODELLI DI ANALISI DI RISCHIO E ALLERTA PRECOCE. LE ANALISI SARANNO CONDOTTE SU CASI STUDIO DEL TERRITORIO REGIONALE, NELL'AMBIENTE DI HIGH PERFORMANCE COMPUTING (HPC) DELL'UNIVERSITÃ DELLA TUSCIA E IN COLLABORAZIONE CON IL CINECA, MEDIANTE PROTOCOLLI E ALGORITMI INNOVATIVI POTENZIALMENTE REPLICABILI IN ALTRI CONTESTI. IL PROGETTO SI FONDA SULLA COLLABORAZIONE CON ENTI E ORGANIZZAZIONI LOCALI, AGENZIE REGIONALI, MICRO IMPRESE E ISTITUZIONI DI RICERCA, PROMUOVENDO IL NETWORKING E L'INNOVAZIONE TECNOLOGICA NELLA REGIONE. L'INNOVAZIONE SI BASA SULL'USO DI NUOVI DATI SATELLITARI (IPERSPETTRALE ASI PRISMA, RADAR E MULTISPETTRALI COPERNICUS), SULL'USO DI ALGORITMI E MODELLI COMPLESSI PER A (Italian)
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EL PROYECTO PROPONE EL ANÁLISIS DE LOS IMPACTOS CLIMÁTICOS EN LA AGRICULTURA, LA SILVICULTURA Y LOS SERVICIOS ECOSISTÉMICOS DEL PAISAJE RURAL Y NATURAL DE LA REGIÓN DEL LACIO, UTILIZANDO TECNOLOGÍAS DE ANÁLISIS DE MACRODATOS Y APRENDIZAJE AUTOMÁTICO PARA INTEGRAR DATOS SATELITALES, PROXIMALES E IN SITU, Y DESARROLLANDO MODELOS DE ANÁLISIS DE RIESGOS Y ALERTA TEMPRANA. LOS ANÁLISIS SE LLEVARÁN A CABO SOBRE ESTUDIOS DE CASOS DEL TERRITORIO REGIONAL, EN EL ENTORNO DE LA INFORMÁTICA DE ALTO RENDIMIENTO (HPC) DE LA UNIVERSIDAD DE TUSCIA Y EN COLABORACIÓN CON CINECA, UTILIZANDO PROTOCOLOS Y ALGORITMOS INNOVADORES POTENCIALMENTE REPLICABLES EN OTROS CONTEXTOS. EL PROYECTO SE BASA EN LA COLABORACIÓN CON AUTORIDADES Y ORGANIZACIONES LOCALES, AGENCIAS REGIONALES, MICROEMPRESAS E INSTITUCIONES DE INVESTIGACIÓN, PROMOVIENDO LA CREACIÓN DE REDES Y LA INNOVACIÓN TECNOLÓGICA EN LA REGIÓN. LA INNOVACIÓN SE BASA EN EL USO DE NUEVOS DATOS SATELITALES (PRISM ASI HIPERESPECTRAL, RADAR Y COPERNICUS MULTIESPECTRAL), EN EL USO DE ALGORITMOS Y MODELOS COMPLEJOS PARA (Spanish)
30 January 2022
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THE PROJECT PROPOSES THE ANALYSIS OF CLIMATE IMPACTS ON AGRICULTURAL, FORESTRY, AND ECOSYSTEM SERVICES OF THE RURAL AND NATURAL LANDSCAPE OF THE LAZIO REGION, USING BIG DATA ANALYSIS AND MACHINE LEARNING TECHNOLOGIES TO INTEGRATE SATELLITE, PROXIMAL AND IN SITU DATA, AND DEVELOPING RISK ANALYSIS AND EARLY WARNING MODELS. THE ANALYSES WILL BE CARRIED OUT ON CASE STUDIES OF THE REGIONAL TERRITORY, IN THE ENVIRONMENT OF HIGH PERFORMANCE COMPUTING (HPC) OF THE UNIVERSITY OF TUSCIA AND IN COLLABORATION WITH CINECA, USING INNOVATIVE PROTOCOLS AND ALGORITHMS POTENTIALLY REPLICABLE IN OTHER CONTEXTS. THE PROJECT IS BASED ON COLLABORATION WITH LOCAL AUTHORITIES AND ORGANISATIONS, REGIONAL AGENCIES, MICRO-ENTERPRISES AND RESEARCH INSTITUTIONS, PROMOTING NETWORKING AND TECHNOLOGICAL INNOVATION IN THE REGION. INNOVATION IS BASED ON THE USE OF NEW SATELLITE DATA (PRISM ASI HYPERSPECTRAL, RADAR AND COPERNICUS MULTISPECTRAL), ON THE USE OF ALGORITHMS AND COMPLEX MODELS FOR A (English)
31 January 2022
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VITERBO
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