About: Growing stock estimation for alpine forests in Austria: a robust lidar-based approach

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scholarly article by M. Hollaus et al published July 2009 in Canadian Journal of Forest Research

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в липні 2009 (uk) im Juli 2009 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by M. Hollaus et al published July 2009 in Canadian Journal of Forest Research (en)
publication date	wds:Q58395346-FCDFF24F-0922-45BD-A1F2-9725D7B98373
publication date	2009-07-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q58395346-531FB7DE-852A-48EF-A5FA-E1EE18D94337
language of work or name	English
cites work	wds:Q58395346-FC32B442-7D2E-44B3-AC71-CA19D77D2C02 wds:Q58395346-FF53B8B1-DF6C-4BF0-8D2E-43F040270A49
cites work	Surface Lidar Remote Sensing of Basal Area and Biomass in Deciduous Forests of Eastern Maryland, USA Accuracy of large-scale canopy heights derived from LiDAR data under operational constraints in a complex alpine environment
author name string	wds:Q58395346-09E82E42-F78E-40D7-85F8-C0F4945EF009 wds:Q58395346-146D50FB-62E8-45EC-91CC-2A2030FD19E5 wds:Q58395346-54C1E0B5-C862-4DE2-9230-9B259D141174 wds:Q58395346-AEBDC7D2-7D8F-47E5-8B1E-96A75A6A431B
author name string	B. Maier M. Hollaus K. Schadauer K. Gabler
rdfs:label	Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (en) Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (nl)
skos:prefLabel	Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (en) Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (nl)
name	Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (en) Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (nl)
author	wds:Q58395346-6DC50D30-1B4E-4B09-94AA-66874825DB4F
author	Wolfgang Wagner
title	wds:Q58395346-16823693-5A34-4E74-9AAD-3D7297A1079E
title	Growing stock estimation for alpine forests in Austria: a robust lidar-based approach (en)
page(s)	wds:Q58395346-B494C1B3-021A-4AE2-ACFD-7E6B62F43DE9
page(s)	1387-1400
instance of	wds:Q58395346-89C09C28-8217-4D66-9980-0A2A7BCCEE96
instance of	scholarly article
main subject	wds:Q58395346-1ED98F80-28FA-4CE7-B6C8-C59EAF63A7CF wds:Q58395346-C114AC36-228B-4265-8B99-BC5F03559462
main subject	Austria lidar
published in	wds:Q58395346-1DF6D2FA-87D4-4F3F-BD21-036BD7AFE957
published in	Canadian Journal of Forest Research
issue	wds:Q58395346-2A06524E-BBC2-42BE-8EC6-ACE096E12DE6
volume	wds:Q58395346-6377C055-A421-4D39-90E9-28A6AE344123
issue	7
volume	39
DOI	wds:Q58395346-A503A4AC-793A-4284-AF1C-0EDDC8FE8DD7
DOI	http://dx.doi.org/10.1139/X09-042
DOI	10.1139/X09-042
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58395346
is cites work of	A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space Forest delineation based on airborne LIDAR data Comparison of methods for estimation of stem volume, stem number and basal area from airborne laser scanning data in a hemi-boreal forest Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data Assessment of wooded area reduction by airborne laser scanning A Growth Prediction System for Local Stand Volume Derived from LIDAR Data An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data Development of Height-Volume Relationships in Second Growth Abies grandis for Use with Aerial LiDAR
is cites work of	wds:Q55670619-A9D95A10-A5B2-4F97-91A6-250831AB4329 wds:Q58105321-A603A9B3-C175-4247-B63A-F9C35DEDB746 wds:Q58032728-BF909828-EEFD-41F7-9895-C9E0075031FC wds:Q28732224-C31CCAC6-E8C0-4411-ACFF-C824127B0152 wds:Q55670620-002688FD-BDC5-4C0B-984B-3EED47BAC6CD wds:Q58105315-EDEF99A3-2630-4C9E-8A99-F39EB4B914D0 wds:Q58395285-9DAEBDDA-CD9B-4CFB-93A4-53044BBC612E wds:Q58252615-0EA51C91-38D9-4B8E-BC20-3A46138558BD

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