Slope Classification Digital Mapping with Stora Enso

Stora Enso manages 81,000 ha of forest land in Southern China, Guangxi region. Identifying the slope categories in these forest sites is crucial for safety forestry operations and feasible operational planning. Understanding the terrain and slope classes is important for increasing the efficiency of using correct methods for correct soil classes in the forest. Hence, Stora Enso is now looking for solutions that could generate slope categorization maps by interpreting existing drone or satellite images. This would allow the company to recognize steep slopes from a safety standpoint, as well as understand which machines to utilize and where.

Stora Enso is looking for solutions that can create pixel-based terrain maps instead of topographic contour maps, due to prevailing legislation. The goal is to find cutting-edge technologies that would first analyse and categorise the slopes and then expand the analysis further by using Artificial Intelligence to provide more optimized planning processes. The potential solution would analyse satellite, drone or LiDAR images. The potential solutions we are looking for could include but are not limited to, image recognition software, web platforms with data analysing capabilities and Artificial Intelligence. Do you have a solution for us?

Today, Stora Enso is one of the largest private forest owners in the world with forest assets valued at more than EUR 7 billion (land and biological assets) in 2020. Globally, Stora Enso owns or manages lands covering a total area of more than 2.0 million hectares. We are ultimately looking for a long-term outsource partner who wants to work with us to further develop digital mapping and platform solutions. We would like to work together and share our industry knowledge to provide you valuable information enabling your company further opportunities within the industry.