CATARSI - Cap and trade assessment by remote sensing investigation: An algorithm for crop and forest biomass estimate (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• CATARSI - Cap and trade assessment by remote sensing investigation: An algorithm for crop and forest biomass estimate (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/IGARSS.2014.6946528 (literal)

Alternative label

• Santi, Emanuele; Pettinato, Simone; Paloscia, Simonetta; Castracane, Paolo; Di Giammatteo, Ugo (2014)
  CATARSI - Cap and trade assessment by remote sensing investigation: An algorithm for crop and forest biomass estimate
  in IGARSS 2014, Quebec city
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Santi, Emanuele; Pettinato, Simone; Paloscia, Simonetta; Castracane, Paolo; Di Giammatteo, Ugo (literal)

Pagina inizio

• 733 (literal)

Pagina fine

• 736 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84911446797&origin=inward (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• IEEE International Geoscience and Remote Sensing Symposium proceedings IGARSS 2014 (literal)

Rivista

• IEEE International Geoscience and Remote Sensing Symposium proceedings (Rivista)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• IFAC-CNR (Istituto Di Fisica Applicata Nello Carrara); Advanced Computer Systems A.C.S. S.p.A (literal)

Titolo

• CATARSI - Cap and trade assessment by remote sensing investigation: An algorithm for crop and forest biomass estimate (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 9781479957750 (literal)

Abstract

• In this paper the results obtained during the CATARSI project have been shown. The aim was to implement an algorithm capable to extract soil moisture and vegetation biomass from SAR data at both L and X bands. An algorithm based on Artificial Neural Networks was tested on SAR images collected in 2010 during the BioSAR (L-band) campaign in Sweden for the retrieval of forest biomass and in 2010-2012 in Italy by using COSMO-SkyMed (X-band) data for the retrieval of agricultural crop biomass. The results obtained demonstrated a clear sensitivity of backscattering at these frequencies to the biomass of both agricultural crops and forests. The retrieval algorithm was able to identify different levels of biomass with a notable accuracy. (literal)

Prodotto di

• Institute of applied physics \"Nello Carrara\" (IFAC) (Istituto)

Autore CNR

• EMANUELE SANTI (Unità di personale interno)
• SIMONE PETTINATO (Unità di personale interno)
• SIMONETTA PALOSCIA (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "CATARSI - Cap and trade assessment by remote sensing investigation: An algorithm for crop and forest biomass estimate" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• SIMONETTA PALOSCIA (Unità di personale interno)
• EMANUELE SANTI (Unità di personale interno)
• SIMONE PETTINATO (Unità di personale interno)

Prodotto

• Institute of applied physics \"Nello Carrara\" (IFAC) (Istituto)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IEEE International Geoscience and Remote Sensing Symposium proceedings (Rivista)

Insieme di parole chiave di

• Parole chiave di "CATARSI - Cap and trade assessment by remote sensing investigation: An algorithm for crop and forest biomass estimate" (Insieme di parole chiave)