Land cover future scenario data of Heihe River Basin (2040, 2070, 2011)- A Big Earth Data Platform for Three Poles

This dataset provides the estimated results of land cover change (IGBP classification) in 2040, 2070 and 2100 of Heihe River under the latest cmip5 based greenhouse gas emission scenario RCPs (representative concentration pathways). Spatial resolution: 1km. Time period: RCP (2.6, 4.5, 8.5) three scenarios, each scenario corresponding to three time periods: t1:2040, t2:2070, t3:2100.

File naming rules: take "HLCs rcp26_" as an example to explain: in the naming, "HLCs" refers to the land cover scenario of Heihe River Basin, rcp26 refers to the rcp2.6 scenario of cmip5, "_40" refers to the future scenario period of 2040, the complete file name means the land cover prediction data of Heihe River Basin in 2040 under the rcp26 scenario, and so on.

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Cite as:

Fan, Z., Yue, T. (2016). Land cover future scenario data of Heihe River Basin (2040, 2070, 2011). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.270872. CSTR: 18406.11.Socioeco.tpdc.270872. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Fan, Z. M. , Bai, R. Y. , Yue, T. X. (2020). Scenarios of land cover in Eurasia under climate change. Journal of Geographical Sciences, 30(1): 3-17.( View Details | Bibtex)

2. TianXiang Yue. 2011. Surface Modelling: High Accuracy and High Speed Methods. New York: CRC Press (Taylor & Francis group)( View Details | Bibtex)

3. Yue, T. X. , Fan, Z. M. , Liu, J. Y. (2007). Scenarios of Land cover in China. Global and Planetary Change, 55: 317-342.( View Details | Bibtex)

4. Zemeng Fan, Jing Li, Tianxiang Yue, Xun Zhou, Anjun Lan, 2015. Scenarios of land cover in Karst area of Southwestern China. Environmental Earth Sciences, 74:6407–6420.( View Details | Bibtex)

5. Yue Tian-Xiang. Surface Modelling: High Accuracy and High Speed Methods. CRC Press: New York.( View Details | Bibtex)

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

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