A dataset of land cover and Shannon’s diversity index based on plant functional types in China and its adjacent areas (1992–2018)

: Land cover, a natural condition of the land surface, presents types and quantity of the observed (bio)physical cover, and spatial heterogeneity (e.g., landscape diversity), etc. It is shaped by the combined effect of natural processes and human activities. Land cover data play a crucial role in studies and applications of global change, matter and energy cycles. The remote sensing technology provides an important foundation for land cover change monitoring, and deepens the understanding of driving mechanisms of land cover change and responses of landscape diversity. Based on the land cover data produced by the ESA Climate Change Initiative, we derived the plant functional type (PFT) ratio with continuous values from the discrete land cover type of the original data by using a cross walking table after scaling. Then, we calculated the Shannon’s diversity index on the basis of PFT. Finally, we obtained a dataset of land cover and Shannon’s diversity index of China and its adjacent areas (70°E–140°E, 15°N–55°N) from 1992 to 2018 with a

• Publication year

  2022

• Venue

  China Scientific Data

• Publication date

  2022-03-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.11922/11-6035.csd.2021.0043.zh
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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