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Forest Type Classification in Poyang Lake Basin Based on Multi-source Data Fusion

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Chinese Water Systems

Part of the book series: Terrestrial Environmental Sciences ((TERENVSC))

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Abstract

Forests are among the most biologically-diverse and largest terrestrial ecosystems on Earth (Pan et al Annu Rev Ecol Evol Syst 44:593–622, 2013)[1]. They play an important role in global carbon and hydrological cycles and provide a wide range of valuable ecosystem goods and services, such as food, timber and climate moderation (Masek et al Forest Ecol Manag 355:109–123, 2015) [2], Mckinley et al Ecol Appl 21(6):1902–1924, 2011) [3].

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Notes

  1. 1.

    http://www.cresda.com/CN/.

  2. 2.

    https://ladsweb.modaps.eosdis.nasa.gov/.

  3. 3.

    http://211.167.243.162:8085/8/chengguobaogao/showpageinit?lm=xxxz.

  4. 4.

    http://www.forestry.gov.cn/.

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Author information

Authors and Affiliations

  1. Institute of Geographic Sciences and Natural Resources Research (CAS), Beijing, China

    Lu Ming

Authors
  1. Lu Ming
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Corresponding author

Correspondence to Lu Ming .

Editor information

Editors and Affiliations

  1. Institute of Geographical Sciences and Natural Resources, Beijing, China

    TianXiang Yue

  2. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Erik Nixdorf

  3. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Chengzi Zhou

  4. School of Environment, Tsinghua University, Beijing, China

    Bing Xu

  5. Institute of Geographical Sciences and Natural Resources, Beijing, China

    Na Zhao

  6. Jiangxi Remote Sensing Information System Center, Nanchang, China

    Zhewen Fan

  7. School of Geography and Environment, Jiangxi Normal University, Nanchang, China

    Xiaolan Huang

  8. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Cui Chen

  9. Department of Environmental Informatics, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany

    Olaf Kolditz

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Ming, L. (2019). Forest Type Classification in Poyang Lake Basin Based on Multi-source Data Fusion. In: Yue, T., et al. Chinese Water Systems. Terrestrial Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-97725-6_15

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