Abstract Knowledge about the condition and location of forest roads is important for forest
management. Coupling accurate forest road information with planning and conservation …

LiDAR-derived digital elevation models can reveal road networks located beneath dense
forest canopy. This study tests the accuracy of forest road characteristics mapped using …

In forested mountainous areas, the road location and characterization are invaluable inputs
for various purposes such as forest management, wood harvesting industry, wildfire …

Forest road maps are a fundamental source of information for the sustainable management,
protection, and public utilization of forests. However, the precision of these maps is crucial to …

Accurate information about forestry roads is a key aspect of forest management in terms of
economy (eg accessibility, cost, optimal path) and ecology (eg wildfire and wildlife …

Knowledge about forest road networks is essential for sustainable forest management and
fire management. The aim of this study was to assess the accuracy of a new hierarchical …

Accurate information on road location is critical for forest management and conservation
strategies. Road location data supports the analysis of road accessibility and usability and is …

Potential forest-related information can be obtained from processing data obtained from
laser scanning sensors making this technology extremely useful for forest management and …

Road extraction from the remote sensing image over mountainous areas is a difficult vision
problem. In this letter, we propose a multiple feature fully convolutional network (MFFCN) on …

LiDAR-derived slope models may be used to detect abandoned logging roads in steep
forested terrain. An object-based classification approach of abandoned logging road …