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Published August 5, 2023 | Version 1
Dataset Open

A 10 m and detailed vegetation classification map of the Tibetan Plateau

  • 1. Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University
  • 2. Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan
  • 3. Department of Geosciences and Natural Resource Management, University of Copenhagen
  • 4. Institute of Tibet Plateau Ecology, Tibet Agricultural and Animal Husbandry University
  • 5. Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University; Perception and Effectiveness Assessment for Carbon-neutrality Efforts, Engineering Research Center of Ministry of Education

Description

A 10 m resolution Tibetan Plateau land cover map with 12 vegetation classes and 3 non-vegetation classes for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and 4 machine learning algorithms using Google Earth Engine platform.

Files

TP_LC10-2022_E100N27.tif

Files (7.8 GB)

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