Visible-Near Infrared reflectance spectroscopy for field scale digital soil mapping. a case study (Contributo in volume (capitolo o saggio))

Type

• Prodotto della ricerca (Classe)
• Contributo in volume (capitolo o saggio) (Classe)

Label

• Visible-Near Infrared reflectance spectroscopy for field scale digital soil mapping. a case study (Contributo in volume (capitolo o saggio)) (literal)

Anno

• 2015-01-01T00:00:00+01:00 (literal)

Alternative label

• Leone Antonio P., Fragnito Fulvio, Morelli Giovanni, Tosca Maurizio, Leone Natalia, Bilancia Massimo, Varricchio Maria Luisa (2015)
  Visible-Near Infrared reflectance spectroscopy for field scale digital soil mapping. a case study
  World Scientific, Singapore (Singapore) in Global sustainability inside and outside the territory, 2015
  (literal)

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

• Leone Antonio P., Fragnito Fulvio, Morelli Giovanni, Tosca Maurizio, Leone Natalia, Bilancia Massimo, Varricchio Maria Luisa (literal)

Pagina inizio

• 51 (literal)

Pagina fine

• 62 (literal)

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

• Global sustainability inside and outside the territory (literal)

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

• 146 (literal)

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

• CNR-ISAFoM, Università del Molise, Unversità di Bari, Futuridea (literal)

Titolo

• Visible-Near Infrared reflectance spectroscopy for field scale digital soil mapping. a case study (literal)

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

• 978-981-4651-31-8 (literal)

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

• Carmine Nardone, Salvatore Rampone (literal)

Abstract

• The aim of this work was to present a method for \"intelligent\", field-scale digital soil mapping based on visible-near infrared (vis-NIR) reflectance spectroscopy, in combination with statistical analysis (Principal Component Analysis, PCA and geostatistics). The study was carried out in a site of southern Italy. With reference to a 50 x 50 cell size grid, 240 soil samples were collected to a depth of 20-30 cm. The soil was analyzed by vis-NIR reflectance spectroscopy and the data were decomposed by PCA. The first three components (PC1, PC2, PC3) explained 98% of the total variance of the initial data set and therefore they were selected for the assessment of soil spatial variability by variography and kriging (geostatistics). The resulting PC1, PC2 and PC3 kriging maps were interpreted in the light of the information contents on reflectance spectra and compared with the results of a previous, conventional soil survey. The presented strategy seems to the efficient and reliable to use, when mapping soil spatial variability (literal)

Editore

• World Scientific (Editore)

Prodotto di

• Institute for Agricultural and Forest Systems in the Mediterranean (ISAFoM) (Istituto)

Autore CNR

• FULVIO FRAGNITO (Unità di personale interno)
• ANTONIO PASQUALE LEONE (Unità di personale interno)
• GIOVANNI MORELLI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Visible-Near Infrared reflectance spectroscopy for field scale digital soil mapping. a case study" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for Agricultural and Forest Systems in the Mediterranean (ISAFoM) (Istituto)

Autore CNR di

• ANTONIO PASQUALE LEONE (Unità di personale interno)
• FULVIO FRAGNITO (Unità di personale interno)
• GIOVANNI MORELLI (Unità di personale interno)

Editore di

• World Scientific (Editore)

Insieme di parole chiave di

• Parole chiave di "Visible-Near Infrared reflectance spectroscopy for field scale digital soil mapping. a case study" (Insieme di parole chiave)