How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …

Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …

For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical developing countries, it is significant to achieve …

The assessment of forest abiotic damages such as snow breakage is important to ensure
compensation to forest owners. Currently, information on the extent of snow breakage is …

Obtaining low vegetation data is important in order to quantify the structural characteristics of
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …

Forest mensuration remains critical in managing our forests sustainably, however, capturing
such measurements remains costly, time-consuming and provides minimal amounts of …

While mobile LiDAR sensors are increasingly used to scan in ecology and forestry
applications, reconstruction and characterization are typically carried out offline. Motivated …

Mapping of tree seedlings is useful for tasks ranging from monitoring natural succession and
regeneration to effective silvicultural management. Development of methods that are both …

Forest inventories play an important role in enabling informed decisions to be made for the
management and conservation of forest resources; however, the process of collecting …

Accurate assessment of structural parameters is essential to effectively monitor the
mangrove resources. However, the extraction results of mangrove structural parameters are …