Use of airborne laser scanning data for a revision and update of a digital forest map and its descriptive database: a case study from the Tatra National Park
Piotr Wężyk , Marta Szostak , Piotr Tompalski
AbstractThe aim of this study was to elaborate the semiautomatic method of airborne laser scanning (ALS) point-cloud data processing for revising a digital forest map in the Tatra National Park, Poland, and updating attributes stored in its descriptive forest database. We proved that elements such as gaps, clearings, biogroups, dead trees, wind-damaged trees, and areas of low canopy closure could be detected with high accuracy, based on this light detection and ranging technology. By using this method and geographic information system techniques, we were able to update selected attributes of the descriptive database, such as forest stand height, which were collected during earlier forest inventories. Moreover, parameters of some parts of forest stands, such as those growing on extremely steep slopes or isolated ledges that are hard to determine using traditional methods, are easily measured with ALS technology. The difference in stand height using the ALS method and that measured by the traditional forest inventory was equal to 1.58 m (2.87 m for absolute differences).
|Publication size in sheets||0.6|
|Book||Kozak Jacek, Ostapowicz Katarzyna, Bytnerowicz Andrzej, Wyżga Bartłowiej (eds.): The Carpathians: integrating nature and society towards sustainability, 2013, Springer Science+Business Media, ISBN 978-3-642-12724-3, [978-3-642-12725-0], 717 p., DOI:10.1007/978-3-642-12725-0|
|Internal identifier||WL/M/19/2013; WL/4/18|
|Citation count*||8 (2016-08-26)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.