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

这项为期3年的建议侧重于开发数据层和工具，这些数据层和工具有助于森林管理业务规划，并了解整个森林管理地区的森林生长和土壤条件在机器操作规模上的变化。越来越多的激光雷达生成的点云数据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从山脊顶部到山谷的森林生长，分辨率为20 x 20米。通过使用激光雷达衍生的水化裸地数字高程模型（dem）进一步实现了这一目标，以确定从山脊顶部到山谷和洼地的地形如何改变土壤类型和性质。这将以一种与其他数据层和地图一致的方式完成，这些数据层和地图可以提供有关基岩和地表地质、气候、森林库存、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一致的土壤数据库；（ii）基于精确的水文和水文地质预期，根据理论、统计和实际考虑，自动调整和改进土壤多边形圈定的方法。拟议的研究重点是与新不伦瑞克省的J.D. Irving有限公司合作进行案例研究，其额外目标是生成可用于在种植园建立和抚育方面实现土壤优化决策的制图工具。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源为新不伦瑞克省开发一个术语统一的空间土壤数据库；这包括开发地形和水文正确的土层，按地形，（ii）使用目标(i)的结果进行生长和产量地点指数建模和绘图，按种植物种，以20 x 20米的分辨率，以及（iii）制定基于地理信息系统的土壤和道路交通风险评估工具。虽然以J.D. Irving有限公司为中心，但研究成果将在新不伦瑞克省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. ************************