Leaf area index is an important structural parameter of ecosystem, which is used to reflect the number of plant leaves, changes in canopy structure, life vitality of plant community and its environmental effects, provide structured quantitative information for the description of material and energy exchange on the surface of plant canopy, and balance the energy of carbon accumulation, vegetation productivity and interaction between soil, plant and atmosphere in ecosystem, Vegetation remote sensing plays an important role. The data comes from the distributed leaf area index instrument independently developed by the project (based on hemispheric image), which takes hemispheric images of forest canopy at fixed time, fixed point and from bottom to top, and uploads them through wireless network. This data acquisition is the original hemispherical image, which needs further processing to calculate the leaf area index, which can be processed by hemiview and other software.

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The data is stored in picture JPG format. The file name is "yyyy,. Mmm. DDD. JPG", where yyyy represents year and MMM represents month. DDD stands for date,

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Cite as:

Su, H. (2021). Continuous observation data set of leaf area index (based on hemispheric image) in Zhangye City (2019-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271779. CSTR: 18406.11.Ecolo.tpdc.271779. (Download the reference： RIS | Bibtex )

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Support Program

The development of the devices for vegetation structure and plant growth monitoring (No:2016YFC0500103)

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