Journal of Ecology and Rural Environment ›› 2023, Vol. 39 ›› Issue (8): 981-989.doi: 10.19741/j.issn.1673-4831.2022.0583

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Identification and Evolution Model of Rural Types Based on Multi-source Remote Sensing Data:Taking Tianjin Urban Fringe as an Example

LI Xue-mei1, YUAN Ping1, HUANG Ling-xiang1, LIU Qian2   

  1. 1. School of Economics and Management, Tianjin Chengjian University, Tianjin 300384, China;
    2. Ciic Guangzhou Economic and Technical Co. Ltd., Guangzhou 510000, China
  • Received:2022-06-13 Online:2023-08-25 Published:2023-08-19

Abstract: Identifying the rural types in the urban fringe and determining the rural evolution mode are effective prerequisites to promote rural revitalization. Taking 450 administrative villages and communities in Tianjin's urban fringe as the research objects, basing on Landsat TM remote sensing images and Google images, this paper analyzed the changes of rural land use in 1980, 2000, 2010 and 2020. The types of villages in the study area have been classified and identified from four subsystems:economic status, resource endowment, location conditions and social security level. By comparing the evolution characteristics of rural types in the 40 years of the research period, the rural evolution model has been determined. The results show that:(1) Cultivated land, rural residential areas and construction land change rapidly, and the change of land use type is the most obvious in the area around Tianjin Outer Ring Road. The number of rural residential areas decreases year by year, especially in Dongli District. (2) The rural types in the study area are identified as suburban integration villages, agglomeration promotion villages, relocation and merger villages and scale control villages. Some of the rural types of villages have not changed during the study period. (3) The models of rural evolution in the study area during the study period have been determined as stable type, slightly variable type and variable type.

Key words: rural type identification, rural type evolution, rural type evolution model

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