About: A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images

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article by Claudia Paris & Lorenzo Bruzzone published January 2015 in IEEE Transactions on Geoscience and Remote Sensing

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2015 (fr) наукова стаття, опублікована в січні 2015 (uk) im Jahr 2015 veröffentlichter wissenschaftlicher Artikel (de) article by Claudia Paris & Lorenzo Bruzzone published January 2015 in IEEE Transactions on Geoscience and Remote Sensing (en)
publication date	wds:Q60343554-203D5E84-874B-4F0C-9A18-D071D10EC865
publication date	2015-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q60343554-14DB2F4E-881E-4DD3-8F5D-11F904528AE7 wds:Q60343554-26BD7583-F9BB-4E04-8399-9B0E5DD07BED wds:Q60343554-77A87A96-21C8-4DA6-B5AA-BD635501BBF4 wds:Q60343554-89FFAD4B-74C1-4D32-BA3E-D132AC7122F7 wds:Q60343554-A8F01445-3D15-41F1-8AB3-D192C44817C0 wds:Q60343554-C9F099DC-89A9-4142-9B89-4C995F53939C wds:Q60343554-C9FC0648-B901-4F6A-BA75-92AB691DC192 wds:Q60343554-D75653EA-3054-43D5-9ED7-E1D14909EE0E wds:Q60343554-E66F16C3-BCEF-4196-B2F7-6EA5F5878926 wds:Q60343554-EFF0429C-BC96-4438-A1D4-A6CDFA0BAE76
cites work	Mapping individual tree location, height and species in broadleaved deciduous forest using airborne LIDAR and multi‐spectral remotely sensed data Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas Improving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Imagery and Low Density LiDAR Data Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data A System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data The role of LiDAR in sustainable forest management Estimation of forest height, biomass and volume using support vector regression and segmentation from lidar transects and Quickbird imagery Analysis on the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume A novel technique for tree stem height estimation by fusing low density LiDAR data and optical images Stand volume estimation by combining low laser-sampling density LiDAR data with QuickBird panchromatic imagery in closed-canopy Japanese cedar (<i>Cryptomeria japonica</i>) plantations
author name string	wds:Q60343554-9E226A0C-F814-4E7B-AE4B-2F2903603114
author name string	Claudia Paris
rdfs:label	A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (en) A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (nl)
skos:prefLabel	A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (en) A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (nl)
name	A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (en) A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (nl)
author	wds:Q60343554-9E3EB685-469B-491B-9DC3-9AFD2F386B5F
author	Lorenzo Bruzzone
title	wds:Q60343554-7D40542D-AA50-4579-8424-BCB09AF6754F
title	A Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and Very High Resolution Optical Images (en)
page(s)	wds:Q60343554-376D57BD-B4DD-48EF-A550-138A72896781
page(s)	467-480
instance of	wds:Q60343554-CD572055-3776-40B4-97AD-8939C3F14754
instance of	scholarly article
main subject	wds:Q60343554-191D3C3E-A04C-49A5-8002-C15921A6AF58 wds:Q60343554-BC8615F3-C6B0-4BF6-A45E-9DEAF4E0AC9E
main subject	remote sensing lidar
DBLP publication ID	wds:Q60343554-A5F30A16-CB46-4AA4-9769-777AE530C374
DBLP publication ID	https://dblp.org/rec/journals/tgrs/ParisB15
DBLP publication ID	journals/tgrs/ParisB15
published in	wds:Q60343554-D4A91478-4DCE-4ED7-99D4-94DC41808612
published in	IEEE Transactions on Geoscience and Remote Sensing
issue	wds:Q60343554-AE53A193-3960-4588-91AA-2155A732EE4C
volume	wds:Q60343554-36914DA3-D082-4AFE-8FD4-5951AD518B58
issue	1
volume	53
DOI	wds:Q60343554-22A03861-8D23-4E89-B193-9D96279A9D6B
DOI	http://dx.doi.org/10.1109/TGRS.2014.2324016
DOI	10.1109/TGRS.2014.2324016
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q60343554
is cites work of	A Novel Approach to 3-D Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas An Internal Crown Geometric Model for Conifer Species Classification With High-Density LiDAR Data Investigating Microtopographic and Soil Controls on a Mountainous Meadow Plant Community Using High‐Resolution Remote Sensing and Surface Geophysical Data An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors Remote Sensing Technologies for Enhancing Forest Inventories: A Review A precise estimation of the 3D structure of the forest based on the fusion of airborne and terrestrial lidar data An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle
is cites work of	wds:Q60343471-D2F5725D-1975-4C50-86B3-FBB97E90BBE6 wds:Q60392772-114B476D-E21E-4E16-9226-981A27D2D364 wds:Q109607854-213EDE87-6ECB-4660-A361-8D5FEDFC4F40 wds:Q60392744-A7972ACB-3636-4A63-8F1B-01D17301C78F wds:Q60343567-8F386A9F-6B59-41F1-B5D0-309C8C0CD5D6 wds:Q58252657-E5A81CFF-9EC3-431C-9B05-802B11C19A31 wds:Q92661269-E3B5D0E7-0BA9-4A9C-A55F-DBA15F02AB02

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