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乡村景观全要素数字化模型构建研究 ——以福建省将乐县常口村为例
袁旸洋,谈方琪,樊柏青,成玉宁*
0
作者简介:
摘要:
数字乡村建设背景下,乡村景观全要素数字化模型 能够实现信息的识别、集成与融合,提升乡村景观保护、规划 与管控的科学化、精准化与高效化。乡村景观全要素数字化模 型依托数字孪生技术构建,数据的多源异构与空间融合是其特 征,也是构建难点。从“数据采集、数据处理、数据库构建、 数据融合”4个主要环节,阐述了乡村景观全要素数字化模型 的构建方法;以福建省三明市将乐县常口村为例,开展了乡村 景观全要素数字化模型的构建实践。实现了乡村景观生态数据 和形态数据的空间融合与动态可视,解决了以往数字化模型中 乡村景观要素彼此游离、各类数据缺乏关联的问题。该模型不 但能够支持乡村景观全生命周期、全流程信息化管理,而且可 支撑规划、设计、建设、管控等各类场景应用。
关键词:  风景园林  乡村景观  数字孪生  数字化模型  多 源异构数据
DOI:
基金项目:
Research on the Construction of Full-elements Digital Model of Rural Landscape: A Case Study of Changkou Village in Jiangle County, Fujian Province
YUAN Yangyang,TAN Fangqi,FAN Boqing,CHENG Yuning
Abstract:
Under the background of digital countryside construction, the rural full-elements landscape digital model can realize the identification, integration and fusion of information, and improve the scientific, precise and efficient of rural landscape protection, planning and control. The fullelements digital model of rural landscape is constructed based on digital twin technology, which is characterized by multi-source heterogeneity and spatial fusion of data, and is also the hard part of the build. This paper expounds the construction method of full-elements digital model of rural landscape from four main links: data collection, data processing, database construction and data fusion. Taking Changkou Village of Jiangle County, Fujian Province as an example, the construction practice of rural landscape digital model was carried out. It realized the spatial integration and dynamic visualization of rural landscape ecological data and morphological data, and solved the problems of rural landscape elements being separated from each other and all kinds of data lacking association in previous digital models. It can not only support the whole life cycle and process information management of rural landscape, but also support rural landscape planning, design, construction, control and other scenarios
Key words:  landscape architecture  rural landscape  digital twin  digital model  multi-source heterogeneous data

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