利用全国航空图像分析量化沿海活动沙丘的植被覆盖率

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY
Cate Ryan, Hannah L. Buckley, Craig D. Bishop, Graham Hinchliffe, Bradley C. Case
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引用次数: 0

摘要

沿海活跃沙丘提供了重要的生物多样性、栖息地和生态系统服务,但它们却是全世界最濒危和研究最不充分的生态系统之一。因此,监测这些系统的状况至关重要,但实地植被调查既耗时又昂贵。遥感航空图像具有空间连续性、低成本、高分辨率的覆盖范围,与传统的实地调查相比,可以绘制更大范围的植被图。以新西兰奥特亚罗瓦为例,我们利用具有全国代表性的沿海活跃沙丘样本,通过基于对象的图像分析,对红绿蓝(RGB)高分辨率(0.075-0.75 米)航空图像中的植被进行了分类。在 21 个海滩上,总体分类的平均准确率为 0.76。然而,要区分半稳定和稳定沙丘上的木本植被物种则是一项挑战。我们根据分类结果建立了全国植被类型,包括七种植被类型。分类树模型显示,在人类活动较多的地方,人类活动比地貌因素更能影响不同活跃沙丘植被类型的相对覆盖率。我们的方法提供了一种定量方法来描述全国范围内活跃沙丘的植被类型,这与保护管理有关,包括绘制栖息地地图、确定物种占有率、本地优势以及剩余活跃沙丘的代表性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying vegetation cover on coastal active dunes using nationwide aerial image analysis
Coastal active dunes provide vital biodiversity, habitat, and ecosystem services, yet they are one of the most endangered and understudied ecosystems worldwide. Therefore, monitoring the status of these systems is essential, but field vegetation surveys are time‐consuming and expensive. Remotely sensed aerial imagery offers spatially continuous, low‐cost, high‐resolution coverage, allowing for vegetation mapping across larger areas than traditional field surveys. Taking Aotearoa New Zealand as a case study, we used a nationally representative sample of coastal active dunes to classify vegetation from red‐green‐blue (RGB) high‐resolution (0.075–0.75 m) aerial imagery with object‐based image analysis. The mean overall accuracy was 0.76 across 21 beaches for aggregated classes, and key cover classes, such as sand, sandbinders, and woody vegetation, were discerned. However, differentiation among woody vegetation species on semi‐stable and stable dunes posed a challenge. We developed a national cover typology from the classification, comprising seven vegetation types. Classification tree models showed that where human activity was higher, it was more important than geomorphic factors in influencing the relative percent cover of the different active dune cover classes. Our methods provide a quantitative approach to characterizing the cover classes on active dunes at a national scale, which are relevant for conservation management, including habitat mapping, determining species occupancy, indigenous dominance, and the representativeness of remaining active dunes.
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来源期刊
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
9.80
自引率
5.50%
发文量
69
审稿时长
18 weeks
期刊介绍: emote Sensing in Ecology and Conservation provides a forum for rapid, peer-reviewed publication of novel, multidisciplinary research at the interface between remote sensing science and ecology and conservation. The journal prioritizes findings that advance the scientific basis of ecology and conservation, promoting the development of remote-sensing based methods relevant to the management of land use and biological systems at all levels, from populations and species to ecosystems and biomes. The journal defines remote sensing in its broadest sense, including data acquisition by hand-held and fixed ground-based sensors, such as camera traps and acoustic recorders, and sensors on airplanes and satellites. The intended journal’s audience includes ecologists, conservation scientists, policy makers, managers of terrestrial and aquatic systems, remote sensing scientists, and students. Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. Remote sensing has enormous potential as to provide information on the state of, and pressures on, biological diversity and ecosystem services, at multiple spatial and temporal scales. This new publication provides a forum for multidisciplinary research in remote sensing science, ecological research and conservation science.
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