Improving the accuracy of timber volume and basal area prediction in heterogeneously structured and mixed forests by automated co-registration of forest inventory plots and remote sensing data

Author:

Janssen Simon,Pretzsch Hans,Bürgi Anton,Ramstein Laura,Gallus Bont Leo

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference61 articles.

1. Abteilung Wald. (2014). Datendokumentation, LiDAR-Rohdaten.

2. Baudirektion Kanton Zürich. (2017). Aufnahmeanleitung Stichprobeninventur.

3. Die Winkelzählprobe: Ein optisches Meßverfahren zur raschen Aufnahme besonders gearteter Probeflächen für die Bestimmung der Kreisflächen pro Hektar an stehenden Waldbeständen;Bitterlich;Die Winkelzählprobe. Forstwissenschaftliches Centralblatt,1952

4. Combining canopy height and different auxiliaries of tree type map information for timber volume estimation for forest management inventories;Bont;ETH Zürich,2019

5. Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests;Bont;For. Ecol. Manage.,2020

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