PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (3): 454-460.doi: 10.18306/dlkxjz.2020.03.010

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Multifunctional classification of aquatic habitats for remote sensing data

TANG Yin1, WANG Zhonggen1,*(), WANG Wanqing1, HUANG Huojian2, YUAN Yong2   

  1. 1.Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2.General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China
  • Received:2019-04-08 Revised:2019-10-10 Online:2020-03-28 Published:2020-05-28
  • Contact: WANG Zhonggen
  • Supported by:
    Strategic Priority Research Program of the Chinese Academy of Sciences (Class A)(XDA19030204)


Classification is the key to understanding changes in aquatic habitats. Most of the existing classifications were proposed for different purposes such as specific research and management needs and there are no commonly applied criteria for the classification, thus their operability and comparability are limited. Therefore, the purpose of this study was to propose a multifunctional classification system of aquatic habitats that embraces the advantages of remote sensing data based on the system theory, so that the classification can be practical and comparable. Additionally, this study provided the interpreting marks of different types of aquatic habitats for Landsat remote sensing data. Based on the interpreting marks, this study obtained the spatial distribution and areal ratio of different types of aquatic habitat in China by using the Landsat remote sensing data in 2015. The multifunctional classification of aquatic habitats for remote sensing data is the foundation for understanding changes in aquatic habitats.

Key words: aquatic habitat, remote sensing data, classification, system theory, multifunction