Utilization of LiDAR data for forest resource management in Japan - Kei Ayguci

Utilization of LiDAR data for forest resource management in Japan
Presenter: Kei Ayguci (2021 Canadian Cartographic Association Conference https://cca-acc.org/conferences/2021-cca-conference )

In Japan, the need to utilize airborne LiDAR measurement technology has expanded dramatically in the forestry fields, such as forest resource analysis, development of harvesting support, forecasting the amount of woody material output, road network planning, and mountain disaster as it can be used to understand complex forest structures and generate accurate forest resource information. It is necessary to utilize LiDAR in forest management because the mass amount of un-harvested forest resources and lack of forestry labor in Japan results in noticeable devastation in forests that cannot function in the public interest and are prone to sediment-related mountain disasters due to damage from typhoons and heavy rains.

Governmental organizations and companies are collaborating to maximize the utilization of LiDAR data both in Infrastructure information and forestry. This presentation will introduce the know-how to acquire, analyze, and manage LiDAR data to support forest management and several unique technologies such as special forest type images and micro topology maps that are essential in forest resource analysis.