Updated:2023-12-22
    • Hyperspectral vegetation index monitoring of chlorophyll content of different corn growth stage in Northwest China

    • ZHANG Xiao-hua , CHANG Qing-rui , ZHANG Man , LIU Jia-qi
    • Journal of China Agricultural University Issue 4, (2015)
    • DOI: 10.11841/j.issn.1007-4333.2015.04.10     

      CLC:

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • 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 >

10

Views

7

Downloads

12

CSCD

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

Related Articles

Remote estimation of leaf gross primary productivity based on hyperspectral data
Estimation of rice leaf chlorophyll content using fused multi-source remote sensing features
Study on the diagnosis of rice nitrogen nutrition in Chongming District, Shanghai based on leaf color information of different sensors
Crop nitrogen content diagnosis and yield estimation in ground cover rice production system based on hyperspectral data
Recognition of the rice growth stage by machine learning combined with vegetation index threshold

Related Author

SHAO Peipei
CHAI Ruhui
LIN Zhiheng
FANG Shenghui
WANG Wenjie
GUO Li
LU Xia
YU Fangbo

Related Institution

School of Remote Sensing and Information Engineering, Wuhan University
Beijing Institute of Geological Survey
Suzhou Key Laboratory of Spatial Information Intelligence Technology and Application
School of Geographiy Science and Geomatics Engineering, Suzhou University of Science and Technology
Shanghai Chongming District Miaozhen Town Agricultural Comprehensive Technology Extension Service Center, Shanghai