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

这份为期3年的提案侧重于开发对森林管理作业规划有用的数据层和工具，并了解机器作业规模下整个森林管理区域的森林生长和土壤条件如何变化。LiDAR生成的点云数据的可用性不断增长，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性质如何影响森林生长，从山脊顶部到山谷，比如说，20 × 20米的分辨率。通过使用LiDAR衍生的和水力调节的裸土数字高程模型（DEM）来确定土壤类型和属性如何随地形从山脊顶部到山谷和洼地而变化，进一步实现了这一点。这是要做的方式是与其他数据层和地图，告知基岩和表层地质，气候，森林资源，道路，溪流，湖泊和海岸一致。 要做到这一点，需要开发（一）一个术语一致的土壤数据库的地形和土壤类型;（二）一种方法，自动调整和改进土壤多边形划定的基础上，准确的水文和水文地质的期望，在保持理论，统计和实践的考虑。本研究以与J.D.欧文，有限公司在新玩法，与额外的目标，以产生绘图工具，可用于操作，使土壤优化决策方面的种植园的建立和抚育。 总的来说，有三个研究目标：（i）从现有的土壤调查报告和其他数据来源为新玩法开发一个术语统一的空间土壤数据库;这包括按地形发展地形和水文学上正确的土层，（ii）利用目标（i）的结果，按种植园树种，20 x 20米分辨率，以及（iii）制定一个基于地理信息系统的土壤和道路通行风险评估工具。以J.D.为中心欧文，有限的业务，研究成果将有更广泛的应用在新玩法和其他地方。************************

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. ************************