Leaf area index of alpine shrubs in Hulu Watershed in the upstream of the Heihe River Basin (22nd, July, 2012)

Leaf area index of alpine shrubs in Hulu Watershed in the upstream of the Heihe River Basin (22nd, July, 2012)


Leaf area index, also known as leaf area coefficient, refers to the multiple of the total area of plant leaves in the land area per unit land area. Leaf area index is an important structural parameter of ecosystem, which is used to reflect the number of plant leaves, the change of canopy structure, the life activity of plant community and its environmental effect, to provide structured quantitative information for the description of material and energy exchange on the canopy surface, and to balance the energy of carbon accumulation, vegetation productivity and the interaction between soil, plant and atmosphere, Vegetation remote sensing plays an important role.

Plant canopy imager CI - 110 was used to measure the alpine shrub and spruce leaf area index in hulugou watershed. The measurement period is July 22, 2014. It includes the main shrub types and Picea crassifolia forest in hulugou watershed. The data set mainly includes the original data of CI-110 measurement, including image and leaf area analysis image.


Data Citations Data citation guideline What's data citation?
Cite as:

Liu, Z., Song, Y. (2015). Leaf area index of alpine shrubs in Hulu Watershed in the upstream of the Heihe River Basin (22nd, July, 2012). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.413.2014.db. CSTR: 18406.11.heihe.413.2014.db. (Download the reference: RIS | Bibtex )

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


Support Program

None (No:91125013)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 99.90 West: 99.83
South: 38.20 North: 38.28
Details
  • File size: 65 MB
  • Views: 8283
  • Downloads: 6
  • Access: Requestable
  • Temporal coverage: 2014-07-27 To 2014-07-27
  • Updated time: 2021-04-19
Contacts
: LIU Zhangwen   SONG Yaoxuan  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata