Forestry inventory update is a critical component of sustainable forest management,
requiring both the spatially explicit identification of forest cover change and integration of …

Change detection has been increasingly studied in remote and close-range sensing in the
last decades, driven by its importance in environment monitoring and database updating …

Continuous large-scale mapping of forest canopy height is crucial for estimating and
reporting forest carbon content, analyzing forest degradation and restoration, or to model …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Understanding how particular stand factors shape patterns of forest mortality is crucial for
supporting forest management as well as creating appropriate adaptation strategies in the …

When combining multi-temporal airborne laser scanning (ALS) data sets, forest height
growth assessments can be compromised due to variations in ALS acquisitions. Herein, we …

This study introduces the annual tree-wise intensity patterns of three boreal tree species,
silver birch (Betula pendula Roth.), Scots pine (Pinus sylvestris L.), and Norway spruce (P …

Recent advancements in remote sensing of forests have demonstrated the capabilities of
three-dimensional data acquired by airborne laser scanning (ALS) and, consequently, have …

Bitemporal airborne laser scanning (ALS) data are increasingly being used in forest
management inventories for the determination of site index (SI). SI determination using …

The spread of remote sensing technologies allows for continuous and precise mapping of
forest ecosystem attributes over large areas. One of the most important attributes of a forest …