Updated:2026-10-21
    • Estimation of rice leaf chlorophyll content using fused multi-source remote sensing features

    • YU Fangbo , LU Xia , GUO Li , WANG Wenjie
    • Journal of China Agricultural University Vol. 31, Issue 6, Pages: 124-139(2026)
    • DOI: 10.11841/j.issn.1007-4333.2026.06.11     

      CLC:
    • Accepted:29 December 2025 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 7 ) Tabs( 6 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

57

Views

22

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Remote sensing estimation model of SPAD for rice leaves in Northeast China
Inversion and application of rice LAI based on UAV multispectral data
Hyperspectral monitoring of SPAD values in fresh tea leaves based on spectral preprocessing and feature selection
Key economic issues and prospects of low-altitude technologies enabling smart forestry
Effects of 5-aminolevulinic acid (5-ALA) on growth and physiological characteristics of rice seedlings under NaCl stress

Related Author

ZHANG Xinle
YU Ziyang
LI Houxuan
LIU Huanjun
ZHANG Zhongchen
ZHAO Mingming
WANG Xiang
WANG Jing

Related Institution

College of Resources and Environment, Northeast Agricultural University
Agricultural College, Northeast Agricultural University
School of Remote Sensing Information Engineering, Wuhan University
School of Life Sciences, Wuhan University
Institute of Agricultural Engineering, Jiangxi Academy of Agricultural Sciences