Efficient forest management demands detailed, timely information. As high spatial resolution
remotely sensed imagery becomes more available, there is a great potential for conducting …

Experiences from Nordic countries and Canada have shown that the retrieval of the stem
volume and mean tree height of a tree or at stand level from laser scanner data performs as …

Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive
discussion of topographic LiDAR principles, systems, data acquisition, and data processing …

The sustainable management of forests for multiple uses requires fine-scale resource
information for a range of attributes. Remotely sensed imagery, if appropriately interpreted …

This paper describes the use of aerial photography and airborne LiDAR to estimate
individual tree heights in forest stands. The advantages and disadvantages in the use of …

In forestry, the availability of high spatial resolution (< 1 m/pixel) imagery from new earth
observation satellites like Ikonos favours a shift in the image analysis paradigm from a pixel …

Photogrammetric point clouds (PPC) obtained by stereomatching of aerial photographs now
have a resolution sufficient to discern individual trees. We have produced such PPCs of a …

Urban forests are vital in urban areas because they clean the air, absorb water, and protect
the environment from intense heat. Destruction of the urban forest by increased urbanization …

Over the last two decades, the scale-space community has developed into a reputable field
in computer vision, yet its nontrivial mathematics (ie group invariance, differential geometry …

Individual tree crown segmentation from airborne laser scanning (ALS) data often fails to
detect all trees depending on the forest structure. This paper presents a new method to …