About: Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica

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scholarly article

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) գիտական հոդված (hy) scholarly article (en) наукова стаття, опублікована у квітні 2010 (uk) im April 2010 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q62563540-B672B40A-4158-4E7B-824E-E3E7B01E84D3
publication date	2010-04-09 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q62563540-5BDB297E-94DE-40C5-BA5D-6D67928EDCD8
language of work or name	English
cites work	wds:Q62563540-103889FC-A140-4282-B092-7C9545EE4E8A wds:Q62563540-6B403C77-5B9B-4A50-B4EB-9ED489571199 wds:Q62563540-9BFFB24D-3E0E-4E95-A58C-CACBD1BB4CE2 wds:Q62563540-A3A6BE17-4D1E-4C4A-9462-EF2784EE43AC wds:Q62563540-EB8BC991-1D3B-45EB-B289-B98C3843453C wds:Q62563540-F01CA45C-9726-448C-A354-327594FEC53D
cites work	Estimates of forest canopy height and aboveground biomass using ICESat Rates of change in tree communities of secondary Neotropical forests following major disturbances Pervasive canopy dynamics produce short-term stability in a tropical rain forest landscape New Satellites Help Quantify Carbon Sources and Sinks Estimation of tropical forest structural characteristics using large-footprint lidar Radar and Lidar Measurement of Terrestrial Processes
author name string	wds:Q62563540-08DA54E0-FB8A-499B-B53E-1AFF14E1AE0E wds:Q62563540-1C19DD4B-5D89-410A-9F06-3E4E004D5C6B wds:Q62563540-29E687B2-BB2B-4996-8391-67C3161D07F3 wds:Q62563540-E1BDCEF5-1D13-413D-82CE-A7C961929F03 wds:Q62563540-E2CF23AA-B00C-4CCD-92C5-529272742F58 wds:Q62563540-E5FF9B82-77CE-49ED-B07C-2043348D4E50 wds:Q62563540-EBFA4AF4-D59D-4A48-ACF6-45E9527CAB46
author name string	R. L. Chazdon J. B. Blair D. B. Clark R. O. Dubayah G. C. Hurtt M. A. Hofton S. L. Sheldon
rdfs:label	Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (en) Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (nl)
skos:prefLabel	Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (en) Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (nl)
name	Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (en) Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (nl)
title	wds:Q62563540-CA597E28-CA79-45A3-8EC7-BEC3B145AD4C
title	Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica (en)
instance of	wds:Q62563540-6D58A548-5FBB-4209-B37E-FC15BC303D96
instance of	scholarly article
main subject	wds:Q62563540-08FE80CE-C790-4272-8251-8D70F18B415E wds:Q62563540-54AEF10C-4BAC-414B-BE5A-6436AD5129BA wds:Q62563540-656777E2-1D30-4F3B-AE02-9168D4C9D117 wds:Q62563540-966E108E-91C4-471A-AFA7-3CE54B22BB4B
main subject	remote sensing Costa Rica tropical forest lidar
published in	wds:Q62563540-A6E5AC0B-1782-4866-AA14-9CB2C37CA157
published in	Journal of Geophysical Research
issue	wds:Q62563540-75F7A579-0739-40A8-97F0-D825D5C25827
volume	wds:Q62563540-1696D545-FD1D-45DD-AB2E-C391CFEAFE86
issue	G2
volume	115
DOI	wds:Q62563540-FBBC75E2-4943-4121-943D-0E1B6EA4E76A
DOI	http://dx.doi.org/10.1029/2009JG000933
DOI	10.1029/2009JG000933
ADS bibcode	wds:Q62563540-31C0B6F6-4094-45F4-B09F-4F3FF920C8EF
ADS bibcode	2010JGRG..115.0E09D
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q62563540
is cites work of	Synergistic use of spaceborne lidar and optical imagery for assessing forest disturbance: An Alaska case study Slow rate of secondary forest carbon accumulation in the Guianas compared with the rest of the Neotropics A hyperspectral image can predict tropical tree growth rates in single-species stands Monitoring individual tree-based change with airborne lidar. Extracting Forest Parameters based on Stand Automatic Segmentation Algorithm
is cites work of	wds:Q90104453-76C307F0-E269-4F93-B47C-A26061CDC811 wds:Q38934952-E79AF4D7-46AC-4AD7-87E6-83CF0CB45A17 wds:Q58261829-7151AEF5-CC8A-4E90-BC66-A5DDD8A6D6E1 wds:Q54965675-330B2FA6-8FAA-4B94-BCB6-8036B2023615 wds:Q89474929-427BC4BB-B574-4EFA-86EB-8E2524A5165B

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