• DocumentCode
    2121065
  • Title

    Vegetable green coverage estimation from an airborne hyperspectral image

  • Author

    Kosaka, Naoko ; Miyazaki, Sanae ; Inoue, Ushio

  • Author_Institution
    NTT Data Corp., Tokyo, Japan
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1959
  • Abstract
    We propose a new vegetation index using TIR (thermal infrared) to estimate green coverage of vegetable crops from an airborne hyperspectral image, which is affected by their background of plastic film covering the ground. The amount of water content is different from green coverage of vegetables, and it leads to difference of temperature correlated with TIR. We propose a new vegetation index TIR expanded NDVI (TENDVI) and evaluate its effectiveness to estimate green coverage of vegetables. The evaluation result using an airborne hyperspectral image and ground truth data shows that TENDVI can estimate green coverage more preciously than NDVI.
  • Keywords
    agriculture; geophysical techniques; vegetation mapping; Chinese cabbage; IR; TENDVI; TIR; TIR expanded NDVI; agriculture; airborne method; crops; geophysical measurement technique; green coverage estimation; green vegetable; hyperspectral remote sensing; infrared; lettuce; multispectral remote sensing; plastic film; thermal infrared; vegetation index; vegetation mapping; visible; water content; Crops; Hyperspectral imaging; Hyperspectral sensors; Infrared imaging; Land surface temperature; Plastic films; Remote sensing; Spatial resolution; Temperature sensors; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1026412
  • Filename
    1026412