• DocumentCode
    3349617
  • Title

    Assessment of ERS-1 SAR data for rice crop mapping and monitoring

  • Author

    Aschbacher, J. ; Pongsrihadulchai, A. ; Karnchanasutham, S. ; Rodprom, C. ; Paudya, D.R. ; Le Toan, T.

  • Author_Institution
    Joint Res. Centre, Comm. of the Eur. Communities, Ispra, Italy
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    2183
  • Abstract
    The current study investigates the potential of ERS-1 SAR data for rice field mapping and rice crop monitoring. The selected study area is approximately 15×15 km in size and is located in Kanchanaburi province, West-Thailand. The rice growing area is irrigated, flat, homogeneously managed, and has large individual fields of at least one hectare size. As regards rice field mapping a digital classification based on multi-temporal, speckle-filtered ERS-1 SAR images was carried out to determine rice field acreage. The classification accuracy for rice fields is 89%. As regards rice crop monitoring the radar backscattering coefficient σ0 [dB] of rice fields was related to various phenological parameters on a field-by-field basis, such as plant height, plant moisture content, stalk diameter, leaf size, occurrence of standing water and crop yield. It was found that there is a good correlation between plant height and σ0 and between crop yield and σ0, respectively
  • Keywords
    agriculture; geophysical signal processing; geophysical techniques; image classification; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1; Kanchanaburi; Oryza sativa; SAR imaging; Thailand; acreage; agriculture crops; crop yield; digital image classification; geophysical measurement technique; grass; leaf size; monitoring; multitemporal speckle filtered image; paddy field; plant moisture content; radar backscattering coefficient; radar remote sensing; rice crop mapping; rice field; satellite remote sensing; spaceborne radar; stalk diameter; synthetic aperture radar; vegetation mapping; Asia; Backscatter; Condition monitoring; Crops; Economic forecasting; Floods; Local government; Moisture; Radar imaging; Surfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.524142
  • Filename
    524142