首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Integrating UAV optical imagery and LiDAR data for assessing the spatial relationship between mangrove and inundation across a subtropical estuarine wetland
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Integrating UAV optical imagery and LiDAR data for assessing the spatial relationship between mangrove and inundation across a subtropical estuarine wetland

机译:整合无人机光学图像和LiDAR数据,以评估红树林与亚热带河口湿地的淹没之间的空间关系

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摘要

Mangrove-inundation patterns have been examined in many field studies, but spatially explicit quantitative analyses are still lacked. A better understanding of how mangrove species responds to the inundation gradient will facilitate mangrove conservation and management. In this study, we integrated unmanned aerial vehicle (UAV) camera imagery and light detection and ranging (LiDAR) data for exploring mangrove-inundation spatial patterns over the intertidal zone in a subtropical estuarine wetland (Zhangjiang estuarine wetland, Fujian, China). Our results indicated that 90% of mangrove forests (mainly Kandelia obovate, Avicennia marina, and Aegiceras corniculatum) were situated within a one-meter elevation range between local mean sea level and higher high water, and the spatial distribution of mangrove forests showed hump-shaped patterns along the inundation gradient with favorable inundation periods of 2 similar to 5 h per day. Our analyses further indicated that there was a weak mangrove zonation pattern with overlaps between species zones along the elevation gradient, and that mangrove species had differential inundation sensitivities with Avicennia marina being most sensitive to the inundation stress. To the best of our knowledge, this is the first spatially explicit quantitative study to examine the influences of inundation regime on both spatial distribution and canopy height of different mangrove species over the intertidal zone at the landscape scale. This study highlights the practicability and necessity of UAV LiDAR in interpreting mangrove-inundation spatial patterns, and confirms the importance of inundation regime as a key driver in regulating the spatial patterns of mangrove forests. The determination of appropriate elevation ranges and inundation periods provides some important knowledge to guide mangrove restoration practices and to assess the vulnerability of mangrove forests in response to future sea level rise.
机译:在许多现场研究中都对红树林的淹没模式进行了研究,但仍缺乏在空间上明确的定量分析。更好地了解红树林物种对淹没梯度的反应将有助于红树林的保护和管理。在这项研究中,我们整合了无人机(UAV)相机图像和光检测和测距(LiDAR)数据,以探索亚热带河口湿地(中国福建张江河口湿地)潮间带的红树林淹没空间格局。我们的研究结果表明,> 90%的红树林(主要是阔叶金盏花,Avicennia滨海和Aegiceras corniculatum)位于当地平均海平面和高水位之间一米的海拔范围内,并且红树林的空间分布呈驼峰状沿淹没梯度分布,呈有利的淹没期,类似于每天5小时,为2个形状。我们的分析进一步表明,沿海拔梯度,红树林带区域分布较弱,且各带之间存在重叠,并且红树林物种对淹没的敏感性不同,Avicennia滨海地区对淹没胁迫最为敏感。据我们所知,这是第一个在空间上明确的定量研究,用于研究淹没方式对景观尺度上潮间带上不同红树林物种空间分布和冠层高度的影响。这项研究强调了无人机LiDAR在解释红树林淹没空间格局方面的实用性和必要性,并确认了淹没制度作为调节红树林森林空间格局的关键驱动因素的重要性。确定合适的海拔范围和淹没期提供了一些重要的知识,可以指导红树林的恢复做法并评估红树林在应对未来海平面上升的脆弱性。

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  • 作者单位

    Minist Educ, Key Lab Coastal & Wetland Ecosyst, Coastal & Ocean Management Inst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China;

    Minist Educ, Key Lab Coastal & Wetland Ecosyst, Coastal & Ocean Management Inst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China;

    Minist Educ, Key Lab Coastal & Wetland Ecosyst, Coastal & Ocean Management Inst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China|Indiana State Univ, Ctr Urban & Environm Change, Dept Earth & Environm Syst, Terre Haute, IN 47809 USA;

    Minist Educ, Key Lab Coastal & Wetland Ecosyst, Coastal & Ocean Management Inst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    UAV; LiDAR; Mangrove; Zonation; Inundation; Zhangjiang Estuary;

    机译:无人机;激光雷达;红树林;分区;淹没;张江口;

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