@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS084 prodottidellaricerca:prodotto prodotto:ID125572 . @prefix pubblicazioni: . @prefix unitaDiPersonaleEsterno: . unitaDiPersonaleEsterno:ID6027 pubblicazioni:autoreCNRDi prodotto:ID125572 . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA547 pubblicazioni:autoreCNRDi prodotto:ID125572 . unitaDiPersonaleEsterno:ID4865 pubblicazioni:autoreCNRDi prodotto:ID125572 . unitaDiPersonaleInterno:MATRICOLA5612 pubblicazioni:autoreCNRDi prodotto:ID125572 . @prefix modulo: . modulo:ID2889 prodottidellaricerca:prodotto prodotto:ID125572 . unitaDiPersonaleInterno:MATRICOLA9248 pubblicazioni:autoreCNRDi prodotto:ID125572 . unitaDiPersonaleInterno:MATRICOLA10056 pubblicazioni:autoreCNRDi prodotto:ID125572 . @prefix rdf: . @prefix retescientifica: . prodotto:ID125572 rdf:type retescientifica:ProdottoDellaRicerca , prodotto:TIPO1302 . @prefix rdfs: . prodotto:ID125572 rdfs:label "Soil water content spatial pattern estimated by thermal inertia from air-borne sensors (Abstract/Poster in atti di convegno)"@en . @prefix xsd: . prodotto:ID125572 pubblicazioni:anno "2007-01-01T00:00:00+01:00"^^xsd:gYear . @prefix skos: . prodotto:ID125572 skos:altLabel "
Esposito M., A. Coppola, A. Basile, M. Buonanno, R. De Mascellis, M. Menenti, M. Tosca (2007)
Soil water content spatial pattern estimated by thermal inertia from air-borne sensors
in Proc. EGU General Assembly , European Geosciences Union, General Assembly, Vienna, 15 - 20 april 2007
"^^rdf:HTML ; pubblicazioni:autori "Esposito M., A. Coppola, A. Basile, M. Buonanno, R. De Mascellis, M. Menenti, M. Tosca"^^xsd:string ; pubblicazioni:altreInformazioni "Issn: 1607-7962"^^xsd:string ; pubblicazioni:url "http://www.geophys-res-abstr.net"^^xsd:string ; pubblicazioni:titoloVolume "Geophysical research abstracts - 2007"^^xsd:string ; pubblicazioni:volumeInCollana "vol. 9"^^xsd:string ; skos:note "Poster"^^xsd:string ; pubblicazioni:affiliazioni "(1) Institute for Mediterranean Agricultural and Forestry systems (ISAFOM), National Research Council (CNR), Ercolano (NA), Italy\n(2) Dept. for Agro-Forestry Systems Management (DITEC), Hydraulics Division, University of Basilicata, Potenza, Italy"^^xsd:string ; pubblicazioni:titolo "Soil water content spatial pattern estimated by thermal inertia from air-borne sensors"^^xsd:string ; prodottidellaricerca:abstract "Remote sensing of soil water content from air- or space-borne platforms offer the possibility to provide large spatial coverage and temporal continuity. The water content can be actually monitored remotely in a thin soil layer, usually up to a depth of 0.05m below the soil surface. To the contrary, difficulties arise in the estimation of the water content storage along the soil profile and its spatial (horizontal) distribution, which is closely connected to soil hydraulic properties and their spatial distribution. A major goal of the scientific group is to develop a practical and robust procedure for estimating spatial variability of soil hydraulic properties. This will be done by estimating water contents throughout the soil profile by integrating remotely sensed surface water contents and hydrological modeling, the latter used in a deterministic/stochastic framework. As a first step, in this work, we will show some preliminary results from aircraft images analysis and their validation by field campaign data on a 4 ha bare soil located in the Sele plain, South of Italy. The main data were collected by thermal and multispectral cameras during two flights performed at sunrise and at noon, each at two different altitudes (about 500 and 900 m a.s.l.). The airborne sensors provided data for retrieving land surface temperatures and surface heat fluxes with a very high spatial resolution. The surface water content pattern, as deduced by the thermal inertia estimations, was compared to the surface water contents map measured in situ by time domain reflectometry. A reasonable agreement was found between the remotely sensed water contents pattern and the ground point-scale water contents map. Moreover, remotely monitoring from two different altitudes gave the opportunity to verify the effects of the spatial resolution on the surface water content estimation. The sensors displayed a reasonable capability to deliver surface soil water content distributions at the desired resolution."@en ; prodottidellaricerca:prodottoDi modulo:ID2889 , istituto:CDS084 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA9248 , unitaDiPersonaleEsterno:ID6027 , unitaDiPersonaleInterno:MATRICOLA10056 , unitaDiPersonaleInterno:MATRICOLA5612 , unitaDiPersonaleInterno:MATRICOLA547 , unitaDiPersonaleEsterno:ID4865 . @prefix parolechiave: . prodotto:ID125572 parolechiave:insiemeDiParoleChiave . parolechiave:insiemeDiParoleChiaveDi prodotto:ID125572 .