Estimation of standing wood volume and species composition in managed nemoral multi-layer mixed forests by using nearest neighbour classifier, multispectral satellite images and airborne lidar data / Puistute liigilise koosseisu ja tüvemahu hindamine k-lähima naabri meetodil mitmerindelistes majandatavates segametsades

Estimation of standing wood volume and species composition in managed nemoral multi-layer mixed forests by using nearest neighbour classifier, multispectral satellite images and airborne lidar data / Puistute liigilise koosseisu ja tüvemahu hindamine k-lähima naabri meetodil mitmerindelistes majandatavates segametsades

Nearest neighbour techniques are useful for constructing maps of forest inventory variables based on sample plot and auxiliary data from remote sensing. The most problematic issue of the nearest neighbour technique is possible systematic bias in the estimated values. In this study a 15 by 15 km test...

Full description

Bibliographic Details
Main Authors: Lang Mait, Arumäe Tauri, Lükk Tõnu, Sims Allan
Format: Article
Language:English
Published: Sciendo 2014-12-01
Series:Metsanduslikud Uurimused
Subjects:
nearest neighbour technique
spectral data
lidar data
mixed forest
wood volume
species composition
Online Access:https://doi.org/10.2478/fsmu-2014-0010

Internet

https://doi.org/10.2478/fsmu-2014-0010

Similar Items