Updating field data collection with wood property metrics combined with spatial data using Gerema.

绿色森林管理公司（GFMI）多年来一直在收集基本的林业实地数据，但由于需要更多地获得信息，目前的森林资源抽样做法不足以预测木材纤维质量和对增值产品的需求。这导致了正确评估森林的问题，这使得收集正确的数据变得更加重要。因此，能够经济有效地收集附加价值是GFMI希望克服的一个障碍。因此，这个项目是通过将湖首大学木材科学和测试设施（LUWSTF）小组与GFMI的空间应用程序Gerema集成开发的空间参考来定制茎数据捕获技术。这将创建一个定制的数据捕获原型应用程序，该应用程序是一个全面的数据捕获、分析、建模、报告和绘图程序，用于森林资源采样。将木材性能与

GreenForest Management Inc (GFMI) has been capturing basic forestry field data for years but with the need for greater access to information, current forest resource sampling practices are insufficient for predicting wood fibre quality and the demand for value added products. This causes issues to properly evaluate the forest which makes collecting the right data even more important. Thus being able to cost effectively collect additional values is an obstacle that GFMI wishes to overcome. Therefore this project is to customize the stem data capture technology with spatial reference that the Lakehead University Wood Science and Testing Facility (LUWSTF) group has been developing by integrating it with GFMI's spatial application Gerema. This will create a customized data capture prototype application that is an all encompassing data capture, analysis, modeling, reporting and mapping program for forest resource sampling. Integrating wood properties with traditional forest inventory will boost the competitiveness of Canada's forest industries and also provide a new source of detailed information relating to our forest resource that can be used to promote the sector to new investment and new markets.