Distinction of Parcels Planted with Rice Using ALOS Satellite AVNIR-2 Data

DOI

Bibliographic Information

Other Title
  • ALOS衛星AVNIR-2データと水田区画データを用いた水稲作付け判別
  • — Case study in a flat region where there are many paddy fields planted with pasture and many fallow paddy fields —
  • ― 牧草作の転作田と不作付田が多い平地エリアにおける調査事例 ―

Abstract

Image data from an AVNIR-2 sensor of the ALOS satellite was used to distinguish whether a paddy parcel in a flat region with many pasture planted paddy fields and fallow paddy fields had rice planted. First, the pixels of the AVNIR-2 image were classified into 40 classes using the unsupervised classification method. Next, the 40 classes were integrated by subjective judgment into 2 classes according to whether rice was planted in the paddy fields. Last, the parcels planted with rice were extracted by overlaying the image data of the integrated classification with paddy parcel boundary data, and consolidating the integrated classification results for each parcel. The accuracy for distinguishing parcels with an area of 1,000 m2 or more was 99.0%, 97.9%, 95.4%, and 95.5% in the AVNIR-2 image data observations on June 15 (early period of the tillering stage of rice), July 2 (late period of the tillering stage of rice), September 17 (maturation period of rice) and October 16 (period for harvesting of rice), respectively. Factors of misjudgment in the spatial resolution and positional precision of the AVNIR-2 image data and similarities in spectrum reflection characteristics between fields with rice planted and other paddy fields were also considered.

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Keywords

Details 詳細情報について

  • CRID
    1390001205286348672
  • NII Article ID
    130004555131
  • DOI
    10.11408/jsidre.79.135
  • ISSN
    18847242
    18822789
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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