A Preliminary Study of Paddy Rice Yield Estimation Using Full Polarimetric Air-Borne X-Band SAR Data

Soh Furuya, Chinatsu Yonezawa, Naoki Ishitsuka, Shoichiro Kojima

研究成果: Conference contribution

抄録

This study aimed to estimate the paddy rice yield using full polarimetric air-borne X-band synthetic aperture radar (SAR) data. We analyzed X-band Pi-SAR2 data of the early maturing stage of rice crops from Osaki City, Miyagi Prefecture, Japan, which were acquired at two different incidence angles, 32° and 53°. Four-component decomposition and eigenvalue-eigenvector decomposition were applied for the data, and full polarimetric parameters were extracted. The correlation of backscattering coefficient values and the full polarimetric parameters with the paddy rice yield were examined. The contribution of volume and surface scattering and scattering entropy computed from the data obtained at incidence angle of 53° were correlated with the paddy rice yield. These parameters were sensitive to panicle biomass and hence can be possible for estimating paddy rice yield.

本文言語English
ホスト出版物のタイトルIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1129-1132
ページ数4
ISBN(電子版)9781665427920
DOI
出版ステータスPublished - 2022
イベント2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia
継続期間: 2022 7月 172022 7月 22

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)
2022-July

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
国/地域Malaysia
CityKuala Lumpur
Period22/7/1722/7/22

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 地球惑星科学(全般)

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