GIS 数据后处理在环境评估中的作用:意大利翁布里亚案例

Valeria Placidi, Michele Cenci, Francesco Castellani, Marta Falasca
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引用次数: 0

摘要

城市规划的动态变化日益复杂,需要采用创新方法进行土地使用适宜性分析和环境评估。传统上,这些学科为城市的可持续发展提供了重要基础,但当前变革的加速要求我们重新关注技术和创新。整合先进的国土数据正在成为丰富景观分析和绘图的关键要素。这类数据可以更新和客观地反映现实情况,为城市规划者和决策者提供一个动态工具,以快速适应不断变化的城市需求。新技术的使用提高了这些分析的准确性和有效性,使城市规划更加高效和可持续。本文探讨了创新和技术如何改变土地使用适宜性分析和环境评估领域,并以意大利翁布里亚地区为例,介绍了如何利用先进的国土数据更准确地建立景观模型。翁布里亚拥有独特的地理环境和微妙的环境平衡,为探索如何利用国土数据库对工业活动进行负责任的管理提供了肥沃的土壤。本案例研究是应用 QGIS 和 Python 地理处理方法解决这些问题的重要第一步。该方法从创建地域数据开始,包括使用 Python 的后处理阶段。这种综合方法不仅提供了最新的、客观的景观视图,而且也是文献中首次将研究应用于像翁布里亚这样小而环境丰富的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of GIS Data Post-Processing in the Environmental Assessment: The Case of Umbria, Italy
The increasingly complex dynamics of urban planning require an innovative approach to land use suitability analyses and environmental assessments. Traditionally, these disciplines have provided a critical foundation for sustainable urban development, but the current acceleration of change requires renewed attention to technology and innovation. The integration of advanced territorial data is emerging as a key element to enrich the analysis and mapping of the landscape. This type of data allows for an updated and objective view of reality, providing urban planners and decision makers with a dynamic tool to quickly adapt to evolving urban needs. The use of new technologies increases the accuracy and effectiveness of these analyses, enabling more efficient and sustainable urban planning. This article explores how innovation and technology are transforming the field of land use suitability analyses and environmental assessments and provides real-life examples of how advanced territorial data can be used to model the landscape more accurately in the case of Umbria, a region in Italy characterised by a rich cultural history and picturesque landscapes. Umbria, with its unique geography and delicate environmental balance, provides a fertile ground for exploring how the implementation of territorial databases can contribute to the responsible management of industrial activities. This case study represents an important first step in applying a QGIS and Python geoprocessing approach to these issues. The methodology starts with the creation of territorial data and includes a post-processing phase using Python. This integrated approach not only provides an updated and objective view of the landscape but also represents the first instance in the literature of a study applied to such a small and environmentally rich region as Umbria.
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