2014
DOI: 10.1007/978-94-017-8663-8
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Forestry Applications of Airborne Laser Scanning

Abstract: Aims & Scope:Well-managed forests and woodlands are a renewable resource, producing essential raw material with minimum waste and energy use. Rich in habitat and species diversity, forests may contribute to increased ecosystem stability. They can absorb the effects of unwanted deposition and other disturbances and protect neighbouring ecosystems by maintaining stable nutrient and energy cycles and by preventing soil degradation and erosion. They provide much-needed recreation and their continued existence cont… Show more

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Cited by 272 publications
(61 citation statements)
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“…Airborne Laser Scanning (ALS) based forest inventories are now common practice in many countries Vauhkonen et al 2014). For large forest holders or groups of small forest holders with regionally concentrated forest holdings e.g., forest companies, dedicated ALS campaigns together with simultaneous field inventories of training plots is feasible, but is not cost-efficient for small forest holdings.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Airborne Laser Scanning (ALS) based forest inventories are now common practice in many countries Vauhkonen et al 2014). For large forest holders or groups of small forest holders with regionally concentrated forest holdings e.g., forest companies, dedicated ALS campaigns together with simultaneous field inventories of training plots is feasible, but is not cost-efficient for small forest holdings.…”
Section: Introductionmentioning
confidence: 99%
“…Basal area weighted mean height (Hbw), basal area weighted mean diameter (Dbw), stem volume (Vol), and basal area (BA) are mapped using the area-based approach (Naesset 2002;Naesset 2014). Model performance is reported at plot level and for different forest types and compared with model performance from ALS based models.…”
Section: Introductionmentioning
confidence: 99%
“…For example in Finland, the traditional stand-level field assessment for forest planning was replaced by a new inventory system based on ALS, aerial photographs and field measurements on reference sample plots (Maltamo and Packalen 2014). The inventory proceeds area by area and is targeted for completion in 10 years (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020).…”
Section: Remote Sensing In Forest Inventorymentioning
confidence: 99%
“…Optical remotely sensed data is often used for such purposes; however, it is often difficult to estimate the parameters in areas characterized by a complex forest structure. During the past three decades, airborne LiDAR has become an established method for accurate derivation of the most important forest inventory parameters (Maltamo et al, 2014).…”
Section: Introductionmentioning
confidence: 99%