Wheat Leaf Area Index Dataset of Luancheng Station Hebei China (2019) — China Leaf Area Index Observation Cal-Val Network’s Serial Dataset
SUN Yuan1YANG Jian1GAO Hailiang1TAO Zui1WANG Chunmei1GU Xingfa*1ZHOU Xiang*1
1 Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100101，China
DOI:10.3974/geodb.2023.09.08.V1
Published:Sep. 2023
Visitors：3750 Data Files Downloaded：64
Data Downloaded：0.75 MB Citations：
Key Words：
Luancheng,Hebei,wheat,China Leaf Area Index Observation Cal-Val Network (China LAI Cal-Val),LAI Wireless Sensor Networks Observation System (LAI-NOS),steady window algorithm
Abstract：
LAI observation calibration and validation network at Hebei Luancheng Station (Central coordinates: 114°41'34.80"E，37°53'22.51"N) was completed on March 22, 2019. It is one site of the China LAI observation calibration and validation network (“China LAI Cal-Val ”for short), which was initialed in 2018. The instruments was LAI Wireless Sensor Networks Observation System (“LAI-NOS” for short). The LAI-NOS instruments can continuously and automatically obtain continuous LAI data, without manual intervention. Luancheng Station was a typical northern station of “China LAI Cal-Val” network station, its function was the LAI Cal-Val for the wheat- maize rotation farmland system in the warm temperate zone of China, wheat in winter and maize in summer. The selected dataset contains LAI data collected in wheat growing season at Luancheng Station from March 25 to June 10, 2019 (wheat greening to maturity period), from three adjacent selected “LAI-NOS ” nodes data (0901, 0902 and 0904) , based on the steady window algorithm by extracting data of early morning and evening. The dataset includes: (1) the geographic location of three nodes at Luancheng Station in 2019; (2) daily LAI data of the three “LAI-NOS” nodes at Luancheng Station from March 25, 2019 to June 10, 2019. The dataset is archived in .xlsx, .shp and .kmz data formats, and consists of 9 files with data size of 25.6 KB (compressed into 2 files, 21.9 KB).Browse
Foundation Item：
Ministry of Finance of P. R. China (Y930280A2F, Y930070A2F)
Data Citation：
SUN Yuan, YANG Jian, GAO Hailiang, TAO Zui, WANG Chunmei, GU Xingfa*, ZHOU Xiang*. Wheat Leaf Area Index Dataset of Luancheng Station Hebei China (2019) — China Leaf Area Index Observation Cal-Val Network’s Serial Dataset[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.09.08.V1.
SUN Yuan, YANG Jian, ZHOU Xiang, et al. Wheat leaf area index dataset of Luancheng Station, Hebei, China (2019): China Leaf Area Index Observation Cal-Val Network's serial dataset [J]. Journal of Global Change Data & Discovery, 2023, 7(3): 262-271.
References：
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[2] Chen, J. M., Black, T. A. Defining leaf area index for non-flat leaves [J]. Plant, Cell & Environment, 1992, 15: 421-429. DOI:10.1111/j.1365-3040.1992.tb00992.x.
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[5] Chen, Y. P., Jiao, S. F., Cheng, Y. L., et al. LAI-NOS: An automatic network observation system for leaf area index based on hemispherical photography [J]. Agricultural and Forest Meteorology, 2022, 322: 108999-108999. DOI: 10.1016/j.agrformet.2022.108999.
[6] Wang, Q., Tenhunen, J., Dinh, N. Q., et al. Evaluation of seasonal variation of MODIS derived leaf area index at two European deciduous broadleaf forest sites [J]. Remote Sensing of Environment, 2005, 96(3-4): 475-484. DOI: 10.1016/j.rse.2005.04.003.
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[8] Guindin-Garcia, N., Gitelson, A. A., Arkebauer, T. J., et al. An evaluation of MODIS 8- and 16-day composite products for monitoring maize green leaf area index [J]. Agricultural & Forest Meteorology, 2012, 161: 15-25. DOI: 10.1016/j.agrformet.2012.03.012.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_LuanchengLAI_2019.pdf | 461.00kb | DownLoad |
| 1 |
LuanchengLAI_2019.rar |
18.85KB |
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| 2 |
LuanchengNodes.kmz |
3.05KB |
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