Buying or selling a forest can be a complex process. The value of a forest is more than just land and trees; it depends on many factors including stocking, tree height, terrain, access, canopy condition, operational constraints, and the quality of available data.; its value depends on many factors, including stocking, tree height, terrain, access, canopy condition, operational constraints, and the quality of available data. For sellers, presenting this information clearly can make it easier to demonstrate the capability and potential value of the forest. For buyers, having the right information upfront helps them better understand what the forest is offering as an investment.
Interpine has developed SilvaCloud to help bring this information together in a practical and easy-to-understand way. SilvaCloud uses LiDAR data from publicly available sources, airborne capture, or UAV platforms to generate forest-level outputs such as stocking assessments, tree locations, canopy detection, canopy height models, slope, hindrance, operational maps, thinning maps, and summary data. These outputs provide a clearer picture of the forest and help turn complex spatial data into useful information for decision-making.
For forest sellers, SilvaCloud can support a stronger sales package by presenting key forest attributes in a professional and visual format. For buyers, it provides an efficient way to assess the forest’s structure, condition, and operational opportunities before making investment decisions. By combining accurate data with clear mapping and summaries, SilvaCloud helps make the buying and selling process more transparent, informed, and easier to navigate.
