写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
58 巻 , 5 号
選択された号の論文の10件中1~10を表示しています
巻頭言
カメラアイ
小特集「空間情報データプラットフォーム」
原著論文
研究速報
  • 難波 尚樹, 薗部 礼, 谷 宏, 小林 伸行, 望月 貫一郎
    2019 年 58 巻 5 号 p. 250-254
    発行日: 2019年
    公開日: 2020/11/01
    ジャーナル フリー

    Crop maps are useful for agricultural field management and synthetic aperture radar data are attractive for generating crop classification because of their all-weather, all-day imaging capability. Additionally, classification algorithms are essential for generating accurate and multi-Grained Cascade Forest, which is also called ‘deep forest', was developed and its high performances have been shown for pattern recognition, voice recognition and so on. In this study, the capability of TerraSAR-X (including TanDEM-X) dual-polarimetric data for crop classification in the Tokachi Plain, Japan was investigated and the comparison of three different classification algorithms including classification and regression tree, random forests and deep forest was conducted.

  • 杉山 絵里香, 薗部 礼, 谷 宏, 小林 伸行, 望月 貫一郎
    2019 年 58 巻 5 号 p. 255-259
    発行日: 2019年
    公開日: 2020/11/01
    ジャーナル フリー

    Crop growth monitoring techniques using remotely sensed data have been required for precise management of crop production. In this study, multi-temporal TerraSAR-X (including TanDEM-X) dual-polarimetric data were used for monitoring the growth of beans and beetroot. In addition to gamma naught values, polarimetric parameters were calculated using m-chi decomposition and dual polarization entropy/alpha decomposition. The results showed that the gamma naught of VV polarization and two polarimetric parameters of the m-chi decomposition (single-or odd-bounce (Odd) and randomly oriented (Rnd) scattering) from X-band SAR data possess potential for monitoring crop growth.

  • 林 明日香, 薗部 礼, 佐野 智人, 堀江 秀樹
    2019 年 58 巻 5 号 p. 260-264
    発行日: 2019年
    公開日: 2020/11/01
    ジャーナル フリー

    Green tea-flavored sweets have become popular and then some techniques, such as shading treatments, have been developed for increasing chlorophyll content, which is important for improving tea leaf appearance. Chlorophyll content estimation is one of the most common applications of hyperspectral remote sensing, however, previous studies were based on measurements under relatively low stress conditions. The PROSPECT model is one of the most famous radiative transfer models and has been widely used for retrieving chlorophyll, carotenoid, or dry matter content. In this study, the performances of the three versions, which can estimate chlorophyll content from reflectance, were compared. Using PROSPECT-D, root mean square errors of 7.12μg/cm2 was achieved and then it could be a strong tool for assessing the qualities of shade grown tea.

  • 薗部 礼, 佐野 智人, 堀江 秀樹
    2019 年 58 巻 5 号 p. 265-269
    発行日: 2019年
    公開日: 2020/11/01
    ジャーナル フリー

    Theanine is the most abundant free amino acid in tea leaves (Camellia sinensis) and it is also one of important factors for assessing the quality of tea ; thus, developing an in-situ method to monitor theanine is useful for agricultural management. Some hyperspectral remote sensing techniques, especially spectral indices, have been applied for assessing vegetation properties such as pigment content and water content. In this study, searching for new indices was attempted based on hyperspectral reflectance. The newly identified index, which is expressed as a differential type of index using reflectance at 1735 nm and 1755 nm, possessed a great performance, achieving a root mean square error with leave-one-out cross validation of 0.065 mg/cm2.

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