利用地理信息系统(GIS)和建筑信息模型(BIM)技术,针对具体地点有效管理土壤资源

IF 0.3 Q4 REMOTE SENSING
A. Borkowski, A. Bielska, J. Kwiatkowska-Malina
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引用次数: 0

摘要

摘要 土壤资源的空间数据集对于解释特定地点的生态系统至关重要,这不仅关系到过程调查,还关系到可持续的土壤管理。研究在帕乌伍镇进行(波兰圣十字省东北部)。研究采用了不同的方法并对原始资料进行了解读,其中包括:(i) 数字土壤-农业地图;(ii) 比例尺为 1:5000 的土壤-农业地图附件;(iii) 土壤质量等值线;(iv) 数字地形模型;(v) 正射影像图。要获得有关土壤类型和/或农业用途复合体的数据,需要进行归纳整理。为了确定需要保护的土壤范围,对公开的正射影像图以及地形图和数字地形模型形式的制图资料进行了分析。利用 BIM 技术可以对空间和土壤资源的合理管理进行可视化和记录;然而,由于 BIM-GIS 线缺乏整合,依靠 GIS 数据并不是最直接的任务。本文介绍了该技术的现状,并试图解决该领域的某些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Site-specific efficient management of soil resources using GIS and BIM technologies
Abstract The spatial data sets of soil resources are essential for the interpretation of the site-specific ecosystems, not only concerning process investigations, but also for sustainable soil management The objective of the study was to attempt identification of the primary parameters influencing the rational management of soils available without the necessity of carrying out time-consuming and costly field and laboratory research. The research was carried out in the Pawłów commune (north-eastern part of the Świętokrzyskie Voivodeship, Poland). The research included the application of different methods and interpretation of source materials, including (i) digital soil-agricultural map, (ii) annex to the soil-agricultural map at a scale of 1:5000, (iii) soil quality contours, (iv) digital terrain model, and (v) orthophotomaps. Obtaining data concerning soil type and/or agricultural usefulness complexes would require conducting a generalisation process. Publicly available ortophotomaps and cartographic materials in the form of topographic maps and a numerical terrain model were analysed to determine the extent of soils to be protected. The rational management of space and soil resources can be visualised and documented using BIM technology; however, relying on GIS data is not the most straightforward task due to the lack of integration on the BIM-GIS line. This paper presents the current state of the art and attempts to address selected problems in this area.
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来源期刊
自引率
28.60%
发文量
5
审稿时长
12 weeks
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