Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2018)

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2018)


This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of field corn during the growing period in 2018 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 26 to September 26, 2018, in which LAI started from May 30. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 22 observations (LAI was 20) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.


File naming and required software

Observation data are stored in Excel form. The file name is yyyy.xlsm, where yyyy stands for year.


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Cite as:

Geng, L., Che, T. (2021). Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2018). National Tibetan Plateau Data Center, DOI: 10.11888/Ecolo.tpdc.271799. CSTR: 18406.11.Ecolo.tpdc.271799. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Geng, L.Y., Che, T., Ma, M.G., Tan, J.L., & Wang, H.B. (2021). Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques. Remote Sensing, 13(12), 2352.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Innovative development of equipments and internet-of-things techniques for ecosystem monitoring and its demonstration (No:2016YFC0500100)

Validation of leaf area index for heterogeneous land surface based on multi-source data (No:42171390)

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Geographic coverage
East: 100.50 West: 100.25
South: 38.50 North: 38.90
Details
  • Temporal resolution: Daily
  • Spatial resolution: 100m - 1km
  • File size: 1 MB
  • Views: 595
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2018-05-26 To 2018-09-26
  • Updated time: 2021-11-08

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Contacts
: GENG Liying   CHE Tao  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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