• DocumentCode
    143716
  • Title

    Detecting soil organic carbon by CASI hyperspectral images

  • Author

    Matarrese, Raffaella ; Ancona, Valeria ; Salvatori, Rosamaria ; Muolo, Maria Rita ; Uricchio, Vito Felice ; Vurro, Michele

  • Author_Institution
    Water Res. Inst., Bari, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3284
  • Lastpage
    3287
  • 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.
  • Keywords
    carbon; hyperspectral imaging; organic compounds; remote sensing; soil; Apulia region; CASI 1500; CASI hyperspectral image; Italy; SOM decline; accurate SOC content determination; airborne-hyperspectral sensor; economical data collection; hyperspectral measurement; innovative methodology; land degradation process; rapid data collection; remote sensing technique; research scenario; soil organic carbon detection; soil organic carbon evaluation; soil organic matter; soil property monitoring; soil quality definition; Carbon; Carbon dioxide; Hyperspectral sensors; Monitoring; Soil; Spectroscopy; System-on-chip; CASI; Hyperspectral images; Soil Organic Carbon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947181
  • Filename
    6947181