J-STAGE Data
Browse
ARCHIVE
2018_image_trans.zip (1.94 GB)
ARCHIVE
2018_LAI.zip (8 kB)
ARCHIVE
2017_image_direct.zip (1.07 GB)
ARCHIVE
2017_image_trans.zip (1.11 GB)
ARCHIVE
2017_LAI.zip (7.07 kB)
ARCHIVE
2018_image_direct.zip (1.68 GB)
1/0
6 files

UAV imagery and Leaf Area Index for Paddy Field in Sendai

Download all (5.8 GB)
dataset
posted on 2021-06-10, 03:45 authored by Naoyuki Hashimoto, Yuki Saito, Shuhei Yamamoto, Masayasu Maki, Koki Homma
Aerial images taken by UAV at paddy fields in Sendai, and Leaf Area Index measured at ground level.

Funding

KAKENHI（19H03078）

JICA-JST SATREPS（JPMJSA1604）

History

Manuscript title

Evaluation of Machine Learning to Estimate LAI Including Solar Radiation Condition at UAV Monitoring in Paddy Fields

Article DOI

https://doi.org/10.11440/rssj.40.87

Corresponding author email address

nhashimoto@kochi-u.ac.jp

Translated title

仙台市水田で収集したUAV画像とLAIデータ

Translated manuscript title

水稲圃場におけるUAV観測時の日射条件を考慮した機械学習によるLAI推定手法の検討

Translated authors

橋本直之，齋藤裕樹，山本修平，牧雅康，本間香貴

Usage metrics

    日本リモートセンシング学会誌/Journal of The Remote Sensing Society of Japan

    Categories

    Keywords

    Leaf Area IndexPaddyUAVRemote Sensing

    Licence

    CC BY 4.0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC