Comprehensive site productivity and soil trafficability modelling based on digital 1-m scale oil re-mapping

这项为期3年的提案侧重于开发对森林管理业务规划有用的数据层和工具，并了解整个森林管理区在机器业务规模上的森林生长和土壤条件如何变化。激光雷达生成的点云数据的可用性越来越高，已经产生了高分辨率的森林指标和地形高程数据层。这些层现在可以用来确定土壤条件和特性如何影响从山脊到山谷的森林生长，比如说，分辨率为20x20米。通过使用激光雷达衍生的和水文调节的裸地数字高程模型(DEM)进一步实现这一点，以确定从山脊到山谷和洼地的土壤类型和特性如何随地形变化。这将以与其他数据层和地图一致的方式完成，这些数据层和地图提供有关基岩和地表地质、气候、森林调查、道路、溪流、湖泊和海岸的信息。要做到这一点，需要开发(I)按地形和土壤类型建立术语上一致的土壤数据库；(Ii)根据准确的水文和水文地质预期，按照理论、统计和实际考虑，自动调整和改进土壤多边形划定的方法。拟议的研究以与新不伦瑞克的J.D.欧文有限公司的案例研究合作为中心，另一个目标是生成可用于操作的绘图工具，以便能够在建立种植园和抚育方面做出土壤优化决策。总的来说，研究目标有三个：(1)根据新不伦瑞克现有的土壤调查报告和其他数据来源，开发一个术语统一的空间土壤数据库；其中包括编制按地形和水文改正的土壤层；(2)利用目标土壤数据库的结果，以20×20米的分辨率，按种植园树种对生长和产量立地指数进行建模和测绘；(3)开发一个基于地理信息系统的工具，用于土壤和道路通行能力风险评估。虽然以J.D.欧文有限公司的运营为中心，但研究成果将在新不伦瑞克和其他地方得到更广泛的应用。************************

This 3-year proposal focuses on developing data-layers and tools useful for forest management operations planning and knowing how forest growth and soil conditions vary across entire forest management areas at the scale of machine operations. Already, the growing availability of LiDAR-generated point cloud data has produced high-resolution forest metrics and terrain elevation data layers. These layers can now be used to determine how soil conditions and properties affect forest growth from ridge tops through valleys at, say, 20 x 20 m resolution. Doing this is further enabled by using LiDAR-derived and hydro-conditioned bare-earth digital elevation models (DEMs) to determine how soil type and properties vary by landform from ridge tops to valleys and depressions. This is to be done in a manner that is consistent with other data layers and maps that inform about bedrock and surficial geology, climate, forest inventory, roads, streams, lakes, and shores. To do this requires the development of (i) a terminologically consistent soil database by landform and soil type; (ii) a methodology that automatically adjusts and improves on soil polygon delineation based on exact hydrographic and hydro-geological expectations in keeping with theoretical, statistical, and practical considerations. The proposed research centers on a case-study cooperation with J.D. Irving, Limited in New Brunswick, with the additional objective to generate mapping tools that can be used operationally to enable soil-optimized decision making in terms of plantation establishment and tending. Altogether, there are three research objectives: (i) to develop a terminologically unified aspatial soil database from existing soil survey reports and other data sources for New Brunswick; this includes the development of topographically and hydrologically correct soil layers, by landform, (ii) to use the results from objective (i) for growth and yield site index modelling and mapping, by plantation species, at 20 x 20 m resolution, and (iii) to formulate a GIS-based tool for soil and road trafficability risk assessments. While centered on J.D. Irving, Limited operations, the research outcomes will have wider applications across New Brunswick and elsewhere. ************************