Remote Sensing and LiDAR Applications
This cluster of papers focuses on the use of Lidar remote sensing technology for mapping and assessing various forest attributes such as carbon stocks, aboveground biomass, tree height, and canopy structure at global and regional scales. The papers cover techniques like airborne and terrestrial laser scanning, data fusion, individual tree detection, and biomass estimation, highlighting the importance of Lidar in sustainable forest management and ecological research.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.