Using the Cartographic Depth-to-Water Index to Locate Small Streams and Associated Wet Areas across Landscapes
Using the Cartographic Depth-to-Water Index to Locate Small Streams and Associated Wet Areas across Landscapes
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使用制图深度水指数来定位景观中的小溪流和相关潮湿区域
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
P. Arp
中科院分区：
文献类型：
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作者：
B. White;J. Ogilvie;D. Campbell;Doug Hiltz;B. Gauthier;H. Chisholm;H. Wen;P. Murphy;P. Arp
随着自然资源日益稀缺，有必要向资源管理者和规划者提供地图，可靠地告知易受水文风险影响的地区，包括短暂或间歇性流动的地区。本文展示了新开发的湿地测绘（WAM）过程中使用基于激光雷达的点云数据解决了这些需求。这是通过描绘当地的流动模式，土壤排水，土壤水分状况和自然植被类型在数字上强大和一致的方式在整个映射区域。因此，WAM衍生的地图对于自然资源规划（林业、公园和娱乐、石油和天然气开采、土地复垦）的若干领域的无障碍运营规划非常有用，并且还可以作为定位和描绘流动通道、道路-溪流交叉口、湿地和湿地的实地指南。
With increasing scarcity of natural resources, there is a need to provide resource managers and planners with maps that reliably inform about areas vulnerable to hydrological risks, including areas with ephemeral to intermittent flows. This paper demonstrates that the newly developed Wet-Areas Mapping (WAM) process using LiDAR-based point cloud data addresses some of these needs. This is done by portraying local flow patterns, soil drainage, soil moisture regimes and natural vegetation type across mapped areas in a numerically robust and consistent manner. As a result, WAM-derived maps are useful for surprise-free operations planning in several areas of natural resource planning (forestry, parks and recreation, oil and gas extraction, land reclamation), and also serve as field guides for locating and delineating flow channels, road-stream crossings, wet areas and wetlands.