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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Mapping the maximum inundation extent of lowland intermittent riverine wetland depressions using LiDAR
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Mapping the maximum inundation extent of lowland intermittent riverine wetland depressions using LiDAR

机译:使用LIDAR绘制低地间歇性河流湿地凹陷的最大惩罚范围

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Accurate high-resolution maps of maximum wetland inundation extents are valuable inventorial resources, but mapping such boundaries can be difficult, time consuming and involve a level of subjectivity from the surveyor. A novel, objective and efficient method is presented for delineating the maximum inundation extents of lowland intermittent riverine wetland depressions using a high resolution LiDAR-derived digital terrain model (DTM). The method was specifically developed for wetland depressions associated with the lower reaches of the Murrumbidgee River in the southern Murray Darling Basin, Australia, but is suitable for any similar intermittent wetland depressions where the natural inundation extent is otherwise unclear. The method is based on the premise that immediately after rising water reaches a threshold level, much larger volumes of water are required to inundate not just the discrete wetland depression but also its surrounding local area; that threshold level can be considered the wetland fill level. Using a series of water levels and a corresponding series of the volume between each water level and a DTM of a wetland area, the maximum rate of increasing acceleration in volume with respect to water level, i.e. the wetland fill level, can be identified. The fill levels of eight wetland areas, ranging in size from 44 to 384 ha, were produced by this method and subsequently used to map their maximum inundation extents. Corresponding maps of the inundation frequency gradient were independently determined from a time series of Landsat derived inundation maps. The level of separation in inundation frequency of map cells inside the maximum inundation extents compared to those outside, determined by the Kolmogorov Smirnov statistic, validated the technique, while identifying that a minimum level of variation in the elevation of the wetland area may be necessary for it to be successfully applied. The technique has potential to be applied more widely as an objective and relatively inexpensive procedure to identify the potential maximum inundation extent of intermittent floodplain wetlands when a good quality high resolution DTM, acquired during a dry phase, is available.
机译:最大湿地淹没范围的准确高分辨率贴图是有价值的,但是映射这种边界可能是困难的,耗时的耗时,并且涉及来自测量师的主体性能。提出了一种小说,客观和有效的方法,用于利用高分辨率激光衍生的数字地形模型(DTM)划定低地间歇性河流湿地凹陷的最大淹没范围。该方法专门为澳大利亚南部Murray Darling Barin南部的穆伦迪格河下游相关的湿地凹陷,但适用于任何类似的间歇性湿地凹陷,其中自然淹没程度否则尚不清楚。该方法基于前提,即在升高的水达到阈值水平后立即,需要更大的水量来淹没不仅是离散的湿地抑郁症,而且需要其周围的局部地区;该阈值水平可以被认为是湿地填充水平。使用一系列水位和每个水位之间的体积和湿地区域的DTM之间的体积,可以识别湿地填充水平的增加的加速度增加的最大速率。通过该方法产生八个湿地区域的填充水平,范围为44至384公顷,随后用于映射其最大淹没范围。 unundation频率梯度的相应映射独立地从Landsat衍生淹没映射的时间序列决定。由Kolmogorov Smirnov统计数据确定的最大淹没范围内的MAP单元内地图单元的淹没频率水平验证了该技术,同时识别湿地面积高度的最小变化水平可能是必要的它成功应用。该技术具有更广泛的应用方式应用于目标和相对廉价的程序,以确定干燥阶段在干阶段获得的优质高分辨率DTM时间歇性洪泛平原湿地的潜在最大淹没程度。

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