Institute of Spatial Management and Geography, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.
Int J Environ Res Public Health. 2022 Mar 18;19(6):3633. doi: 10.3390/ijerph19063633.
Land-use/land cover maps constitute one of the key sources of information on urban space. To address the problems associated with the lack of timely and detailed land-use maps, the authors have developed a universal methodological approach for monitoring land use structure that is particularly useful in a rapidly evolving urban environment. Therefore, the main aim of this study was to develop a universal methodology for high-precision land-use analysis in urbanized areas in the context of large-scale mapping. The method uses geoinformation tools, photogrammetric data (orthophoto maps) as well as data acquired during a field inventory (involving a field survey and field mapping). The proposed approach is based on the modified existing approaches towards a detailed identification of land-use patterns while reducing the difficulties arising from the limitations of existing land use data sources. The methodology consists of several steps. First, the data sources for land-use analysis were selected. Subsequently, the classification of land-use categories in urban space was made. Finally, the method to high-precision land-use analysis for large-scale mapping was defined under the assumption that it is to be universal for use in countries with different levels of spatial and economic development. The proposed research method is based on an interpolation algorithm. It is highly valid, flexible, modifiable, accurate, and it can be applied to process publicly available and free sources of spatial data. Validation of the method on a test object (city of Ostróda, Poland) showed its high effectiveness, which is limited only by the type of data. The results obtained with the use of the proposed method not only supported the determination of the present land-use structure in the town but were also used to identify areas with the highest and lowest intensity and concentration of specific land-cover types.
土地利用/土地覆盖图是城市空间信息的主要来源之一。为了解决缺乏及时和详细土地利用图的问题，作者开发了一种通用的监测土地利用结构的方法，特别适用于快速发展的城市环境。因此，本研究的主要目的是开发一种通用的方法，用于在大规模制图的背景下对城市化地区进行高精度的土地利用分析。该方法使用地理信息工具、摄影测量数据（正射影像图）以及在实地清查期间获取的数据（涉及实地调查和实地绘图）。所提出的方法基于对现有详细识别土地利用模式方法的改进，同时减少了现有土地利用数据源限制所带来的困难。该方法包括几个步骤。首先，选择了土地利用分析的数据源。随后，对城市空间中的土地利用类别进行了分类。最后，在假设该方法对具有不同空间和经济发展水平的国家具有通用性的前提下，定义了用于大规模制图的高精度土地利用分析方法。所提出的研究方法基于插值算法。它具有高度的有效性、灵活性、可修改性、准确性，并且可以应用于处理公共的、免费的空间数据源。在测试对象（波兰奥斯特罗达市）上对该方法进行验证表明，其有效性很高，仅受数据类型的限制。使用所提出的方法获得的结果不仅支持了对城镇现有土地利用结构的确定，而且还用于确定具有特定土地覆盖类型最高和最低强度和浓度的区域。
