Large-scale forest resource mapping with spatial gaps in the training data: Comparison of different modeling approaches

Key Points

• Mapping techniques address spatial gaps in training data, leading to improved accuracy in forest assessments.
• Efficient geospatial analysis evaluated multiple modeling approaches to identify the most effective methods.
• Different modeling strategies demonstrated variable success in predicting outcomes across diverse forest landscapes.
• Implications for forest management highlight the need for accurate resource mapping despite training limitations.