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首页> 外文期刊>The Forestry Chronicle >Improving forest operations planning through high-resolution flow-channel and wet-areas mappin
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Improving forest operations planning through high-resolution flow-channel and wet-areas mappin

机译:通过高分辨率流道和湿区制图改善森林作业计划

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This article describes a mapping process designed to provide forest management with high-resolution flow-channel and wet-area maps for forest operations planning. The process requires digital elevation models (DEMs) and hydrographic data, and also portrays the likely depth to surface water across forested terrains away from any nearest surface-water features such as streams, rivers, lakes, and wetlands. Map applications involve layout of roads and trails, automated selection of best road-stream crossings, minimizing earth-moving operations during road construction, detailing in-block plans for temporary roads and channel crossings, and delineating habitats, machine-free zones and blocks for harvesting, tree planting, site preparation, and stand thinning. Map verifications centre on visual comparisons of map features with land-surface images, and these can be coupled with GPS tracking of wetland and wet-area borders, stream channels, and road-stream crossings. Further developments involve increasing the wet-areas map resolution and accuracy with LiDAR (Light Detection and Ranging) bare-ground DEMs and other fine-gridded DEMs, and expanding the applications to mapping of soils, soil properties and tree and crop productivity, to watershed and road-network management, to off-road trafficability, and to impact evaluations dealing with hydrological sensitivities and risks.
机译:本文介绍了一种映射过程,旨在为森林管理提供高分辨率的流道图和湿地图,以进行森林运营规划。该过程需要数字高程模型(DEM)和水文数据,还需要描绘出整个森林地形中远离任何最近的地表水特征(例如河流,河流,湖泊和湿地)的地表水的可能深度。地图应用程序涉及道路和步道的布局,自动选择最佳的道路交叉口,在道路施工过程中最大程度地减少土方作业,详细说明临时道路和通道交叉口的街区内计划,以及划定栖息地,无机械区和障碍物采伐,植树,整地和疏林。地图验证的重点是将地图特征与陆地表面图像进行视觉比较,并且可以与GPS跟踪湿地和湿地边界,河流通道和道路交叉口相结合。进一步的发展包括利用LiDAR(光检测和测距)裸地面DEM和其他细网格DEM来提高湿区地图的分辨率和精度,并将其应用于土壤,土壤特性,树木和农作物生产力的制图以及分水岭公路网管理,越野通行性以及影响评估的水文敏感性和风险。

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