摘要
面向中国乡村景观高质量发展需求,研发适用于乡村蓝绿景观形态解析及其协同效能研判的数字化分析技术,对赓续田野环境特色与景观风貌、拓展乡村景观研究与实践具有积极意义。结合当代乡村景观形态研究与遥感分析前沿进展,聚焦田野景观形态协调性测度,构建基于eCognition遥感解译平台的乡村蓝绿景观形态协调性分析框架与指标体系,以北京郊区典型乡村为例开展测度技术研究。在乡村蓝绿景观要素遥感解译基础上,集成决策树分类法等相关方法,实现蓝绿景观形态表征数据提取与聚类分析,连通功效函数、耦合度、协调度等形成田野景观形态协调性解析技术,开展乡村蓝绿景观形态协调性测度分析与评价。形成了一种面向田野风貌中蓝绿基质联立绩效的乡村景观形态分析技术,适用于乡村景观形态纵深研究及其演进模拟,可为乡村景观数字化发展提供技术参考与应用基础。
Under the dual imperatives of rural revitalization and beautiful countryside initiatives,the sustainable evolution and scientific optimization of rural landscape configurations have emerged as critical components for advancing high-quality development in rural environments.Rural landscapes,characterized by agricultural production systems and ecological conservation mechanisms,constitute the dynamic interface between semi-artificial and natural environments under rural territorial conditions.These landscapes fundamentally manifest as integrated blue-green landscape complexes,serving as the ecological matrix for sustainable rural development.In response to the high-quality development of field landscape,this study develops a digital technology suitable for the analysis of field blue-green landscape morphology and its collaborative efficacy,for expanding the research and practice of preserving the field landscape characters.As a remote sensing interpretation platform grounded in object-based image analysis(OBIA)methodology,eCognition has witnessed progressive maturation in developing dedicated techniques for quantifying coupling mechanisms and coordination efficacy of field blue-green landscape morphology.The ongoing refinement of landscape morphological analysis,coupled with eCognition's technical capacity in capturing and characterizing blue-green landscape elements,establishes robust foundations for creating domain-specific analytical frameworks tailored to rural ecological pattern optimization.By integrating contemporary research on field landscape morphology with remote sensing analysis,the paper focuses on the form coordination measure of field landscape,and the corresponding framework and indicator system is constructed based on the eCognition interpretation platform.First,it selects typical rural areas in Miyun District,Beijing as research samples.Using rural administrative boundaries as basic units and GF-1 high-resolution remote sensing image data as the data source.The eCognition image interpretation platform is employed to acquire basic data on the morphological characteristics of rural blue-green landscapes.Then,the study employs a fractal network evolution algorithm,a decision tree classification algorithm,and a confusion matrix-based accuracy evaluation method to achieve morphological extraction of blue-green landscape patterns in sample rural areas.Subsequently,it constructs a"self-morphological rationality-intermorphological mosaic characteristics"indicator system specifically designed for assessing field blue-green landscape pattern coordination.This system integrates selected metrics including aggregation index,connect,shape index,and mean perimeter-area ratio.Finally,the study integrates efficacy functions,coupling degree,and coordination degree algorithms to develop a blue-green landscape form coordination model.This model subsequently enables systematic measurement and cartographic investigation of field bluegreen landscape coordination,while further facilitating cluster analysis and characteristic evaluation of morphological coordination features through algorithmic implementation.The measurement results reveal positive coupling efficacy in blue-green landscape form coordination.This study classifies field blue-green landscape coordination into four primary categories and eight subtypes,subsequently developing a typological map through integration with landscape form datasets,rural administrative boundaries,and production-livingecological(PLE)control lines.Case study findings indicate that the research area comprises 15 typical villages,demonstrating coordination degree(D)values ranging from 0.60 to 0.79 across four classification levels(II-V).Regional cluster analysis based on coordination measurements delineates three distinct zones:high-coordination(Class II),medium-coordination(Classes III-IV),and lowcoordination(Class V)areas.High-coordination zones(e.g.,Simatai,Beidianzi,and Beitai villages)demonstrate intertwined blue-green landscape forms with symbiotic characteristics.Medium-coordination zones encompassing seven villages(Luowa,Xiadianzi,Yangzhuangzi,etc.)exhibit developmental imbalances attributed to asynchronous blue-green landscape evolution,constructioninduced disruptions,and ecological service lag.The singular low-coordination zone(Hounantai Village)manifests dual developmental delays and structural disharmony in landscape configuration.The study promotes technical analysis focused on the blue-green performance,applies to in-depth morphology research and evolutionary simulation of field landscape,and provides technical reference and application fundamentals for the digital development of rural landscape.
作者
张学玲
杨艺璇
张大玉
石炀
ZHANG Xueling;YANG Yixuan;ZHANG Dayu;SHI Yang(School of Architecture and Urban Planning,Beijing University of Civil Engineering and Architecture,Beijing 100044;Beijing University of Civil Engineering and Architecture,Beijing 100044)
出处
《中国园林》
北大核心
2025年第8期58-65,共8页
Chinese Landscape Architecture
基金
国家自然科学基金青年项目(52108036)
国家自然科学基金面上项目(52478039)
中国建设教育协会教育教学科研项目(2023094)
北京建筑大学“金字塔人才培养工程”英才项目(JDYC20220802)
北京建筑大学教育科学研究项目重点课题(Y2304)。
