Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Detecting soil organic carbon by CASI hyperspectral images

Conference Paper
Publication Date:
2014
abstract:
Soil organic carbon (SOC) plays an important role in soil quality definition. In fact, soil organic matter (SOM) decline is one of the most relevant land degradation processes [1]. Therefore, an innovative methodology able to monitoring this soil property, collecting data more rapidly and economically, is needed. In this regard, remote sensing technique can open new scenarios of research. In particular, few studies have shown the capability to accurately determine SOC contents from airborne-hyperspectral sensors [2], [3], [4]. With this work we demonstrate that is possible to evaluate the Soil Organic Carbon in a test site in Apulia Region, Italy, through hyperspectral measurements by the airborne sensor CASI 1500, achieving very promising results.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
CASI; Hyperspectral images; Soil Organic Carbon
List of contributors:
Salvatori, Rosamaria; Uricchio, VITO FELICE; Ancona, Valeria; Matarrese, Raffaella; Vurro, Michele
Authors of the University:
ANCONA VALERIA
MATARRESE RAFFAELLA
SALVATORI ROSAMARIA
URICCHIO VITO FELICE
Handle:
https://iris.cnr.it/handle/20.500.14243/298728
  • Overview

Overview

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-84911372912&partnerID=q2rCbXpz
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)