基于无人机的马耳他自然保护区入侵物种和生态系统破碎化空间分析方法*

E. C. McConville, A. I. Oancea, E. M. Enright, T. Brown, J. Henriques
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引用次数: 0

摘要

管理马耳他岛上的环境保护地点具有挑战性,部分原因是城市化的压力和土地利用模式变化带来的破坏。通过数据可视化技术了解这些挑战的时空背景是保护这些生态系统的重要工具。本文描述了一套方法,利用无人机收集的航空图像来支持由一个在马耳他群岛工作的非营利非政府环境组织管理的特定地点的生态系统管理。无人机图像首先使用自动飞行模式拍摄,以创建高分辨率的正交图像。通过实地调查收集的数据与使用GIS工具进行空间分析的正形图相结合。地理信息系统分析的主要重点是利用正地貌识别入侵和濒危物种,并监测海岸侵蚀。这些方法有助于站点管理员实现有效的、定期的数据更新和映射。论文中描述的方法的其他好处包括帮助站点管理者深入了解城市扩张带来的生态系统碎片,并建立基线来分析未来的变化。绘制的地图可以帮助提高公众对每个保护区的认识,并更广泛地提高对整个岛屿不同保护区的环保意识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for the Spatial Analysis of Invasive Species and Ecosystem Fragmentation at Conservation Sites in Malta Using Drones *
Managing environmental conservation sites on the island of Malta is challenging due in part to pressures from urbanization and disruptions from changing land use patterns. Understanding the spatial and temporal context of these challenges through data visualization techniques is an important tool for conserving these ecosystems. This paper describes a set of approaches using aerial imagery collected by drones in support of ecosystem management for specific sites managed by a non-profit, non-governmental environmental organization working in the Maltese islands. Drone images were first taken using automated flight patterns to create high-resolution orthomosaic images. Data collected through fieldwork was combined with the orthomosaics for spatial analysis using GIS tools. The primary focus of the GIS analysis was to use the orthomosaics for the identification of invasive and endangered species and to monitor coastal erosion. These methods help enable efficient, periodic data updates and mapping by the site managers. Additional benefits of the approach described in the paper include helping site managers gain insights into ecosystem fragments from urban expansion and establishing a baseline to analyze future change. The maps created can help improve public awareness of each site and more broadly promote environmental awareness of different conservation sites throughout the islands.
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