About: Forest stand age classification using time series of photogrammetrically derived digital surface models

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About: Forest stand age classification using time series of photogrammetrically derived digital surface models Goto Sponge NotDistinct Permalink

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в серпні 2015 (uk) im August 2015 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58252632-6265E307-6569-4EFE-8B90-DC0019A61A20
publication date	2015-08-28 00:00:00Z (xsd:dateTime)
cites work	wds:Q58252632-17386ACD-C705-4BFD-95E1-7C7B0AAE8FA6 wds:Q58252632-50C03F7E-F731-43E0-A5F8-0E5EA1C8F4F8 wds:Q58252632-52AB916E-0D18-43CF-B1A2-A8B7541B23AE wds:Q58252632-7EE8368A-19AD-4BE9-8AA8-47163720F3C9 wds:Q58252632-8DB6F5C8-9003-4204-8A34-F223D6FD9FF9 wds:Q58252632-ABA3A49B-710E-4E15-9779-A8E8C9B6CB63 wds:Q58252632-E4F861F3-6DD2-4D10-A634-8B3942F865FC wds:Q58252632-F8BFBC36-A23C-41E1-8320-36BB4C5251FA
cites work	Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects Tree age, disturbance history, and carbon stocks and fluxes in subalpine Rocky Mountain forests Status and prospects for LiDAR remote sensing of forested ecosystems Spatial resolution implications of digitizing aerial photography for environmental applications Airborne laser scanning and digital stereo imagery measures of forest structure: comparative results and implications to forest mapping and inventory update The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning Automation Aspects for the Georeferencing of Photogrammetric Aerial Image Archives in Forested Scenes Integration of GLAS and Landsat TM data for aboveground biomass estimation
author name string	wds:Q58252632-29E54493-E58C-4BA4-9DA8-21F8308A6248 wds:Q58252632-82B6E80A-1384-45E4-8DD7-ED76C758170A wds:Q58252632-A297AE73-EE0C-452E-9BA8-2560340846DC wds:Q58252632-ECC32559-7A99-49C6-B74A-AC08B712EB48
author name string	Paula Litkey Juha Hyyppä Markus Holopainen Joanne C. White
rdfs:label	Forest stand age classification using time series of photogrammetrically derived digital surface models (en) Forest stand age classification using time series of photogrammetrically derived digital surface models (nl)
skos:prefLabel	Forest stand age classification using time series of photogrammetrically derived digital surface models (en) Forest stand age classification using time series of photogrammetrically derived digital surface models (nl)
name	Forest stand age classification using time series of photogrammetrically derived digital surface models (en) Forest stand age classification using time series of photogrammetrically derived digital surface models (nl)
author	wds:Q58252632-0E52F00D-5A79-46BC-9DEC-A556BC6AC8C2 wds:Q58252632-222A0843-3D2E-4A44-BE39-592A587D7864 wds:Q58252632-56A2C343-16BA-4292-8AAE-E9D529B00C0B wds:Q58252632-92EBDE83-EA33-4AC6-B701-6E14DEC8434A wds:Q58252632-A9722CA4-EDC7-491B-8AAB-727A13B11533
author	Michael A. Wulder Eija Honkavaara Mikko Vastaranta Kimmo Nurminen Mikko Niemi
title	wds:Q58252632-30EAD072-F21F-4972-834C-9F8D3AB8DAB4
title	Forest stand age classification using time series of photogrammetrically derived digital surface models (en)
page(s)	wds:Q58252632-F9CB4F6D-C459-42E3-B01F-FCBFE52D56BB
page(s)	194-205
instance of	wds:Q58252632-0C67A89F-A638-483D-A25B-9E7AC7B1832A
instance of	scholarly article
main subject	wds:Q58252632-D07D9B85-EEED-4F93-BC51-CBC340B31714
main subject	stand
published in	wds:Q58252632-58872742-A844-4632-A7E8-F5C962D98E92
published in	Scandinavian Journal of Forest Research
issue	wds:Q58252632-DB42F6B5-7D25-4C0F-8D90-F79A898843C1
volume	wds:Q58252632-1F912BBA-FD06-4D3B-A41A-CF0306A6795B
issue	2
volume	31
DOI	wds:Q58252632-5EEA21B9-EB3C-475A-9335-42D850F3C660
DOI	http://dx.doi.org/10.1080/02827581.2015.1060256
DOI	10.1080/02827581.2015.1060256
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58252632
is cites work of	Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites
is cites work of	wds:Q58108381-C6C3C061-AD53-4473-9AB9-818D7B97A242 wds:Q56705575-C970366C-92C4-40D3-8D29-9917AA7F096C

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