STUDY ON THE EVOLUTION OF RURAL RESIDENTIAL LANDSCAPE PATTERN BASED ON REMOTE SENSING——A CASE STUDY OF DEZHOU CITY,SHANDONG PROVINCE
As a typical form of geographic space for rural development and urban-rural integration,"combination of villages"is currently lacking in scientific methods for quantitative characterization and evaluation of the geographic spatial evolution of"combination of villages".Therefore,this paper aims to put forward a set of methods for quantitative characterization of the geographic landscape pattern of rural settlements based on satellite remote sensing and geographic landscape theory.As a case study in Dezhou city of Shandong province,this study analyzed the evolution of the geographical landscape pattern of rural residential areas since 2007.Taking Dezhou city of Shandong province as the study area,the evolution characteristics of rural settlements were characterized by landsat remote sensing data in 2007,2015 and 2020.The landscape pattern index was screened,and the evolution process of rural settlements was quantitatively analyzed based on entropy weight method.The results showed that:(1)At the municipal scale,compared with 2007-2015,the change rate of rural residential areas accelerated from 2015 to 2020,especially the patch area and patch number of original rural residential areas decreased significantly.(2)On the patch scale,the number of rural settlements in smaller areas decreased significantly,and the irregularity and complexity of the existing rural settlements decreased.(3)At the county scale,there was a gap in the process of rural residential change among counties,among which Decheng district was the fastest and Xiajin county was the slowest.Therefore,the method proposed in this study can effectively describe the geographical landscape pattern and its evolution characteristics of rural settlements,which can provide scientific support for the scientific evaluation,planning and design and policy promotion of"combination of villages".
the combination of villagesrural residential areaspatio-temporal evolutionlandscape pattern anal-ysisquantitative evaluation
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