Validation of High-Density Airborne LiDAR-Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.net/journal/ars
E-mail: [email protected]

Citations

"Validation of High-Density Airborne LiDAR-Based Feature Extraction Using Very High Resolution Optical Remote Sensing Data"
written by Shridhar D. Jawak, Satej N. Panditrao, Alvarinho J. Luis,
published by Advances in Remote Sensing, Vol.2 No.4, 2013

has been cited by the following article(s):

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[4]	Spatiotemporal Modelling of Rooftop Rainwater Harvesting with LiDAR Data in the Taita Hills, Kenya
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[5]	Synergistic object-based multi-class feature extraction in urban landscape using airborne LiDAR data
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[8]	SEMI-AUTOMATED APPROACH FOR MAPPING URBAN TREES FROM INTEGRATED AERIAL LiDAR POINT CLOUD AND DIGITAL IMAGERY DATASETS.
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[10]	SEMI-AUTOMATED APPROACH FOR MAPPING URBAN TREES FROM INTEGRATED AIRBORNE BASED DIGITAL IMAGE AND LiDAR POINT CLOUD …
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[11]	A comprehensive review on geospatial applications to life sciences
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[12]	Urban tree damage estimation using airborne laser scanner data and geographic information systems: An example from 2007 Oklahoma ice storm
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[1]	Multispecies individual tree crown extraction and classification based on BlendMask and high-resolution UAV images Journal of Applied Remote Sensing, 2023 DOI:10.1117/1.JRS.17.016503

[2]	Tree species classification of LiDAR data based on 3D deep learning Measurement, 2021 DOI:10.1016/j.measurement.2021.109301

[3]	Examining LiDAR – WorldView-3 data synergy to generate a detailed stand map in a mixed forest in the north-west of Turkey Advances in Space Research, 2020 DOI:10.1016/j.asr.2020.02.020

[4]	Synergistic object-based multi-class feature extraction in urban landscape using airborne LiDAR data Spatial Information Research, 2018 DOI:10.1007/s41324-018-0191-1

[5]	Urban tree damage estimation using airborne laser scanner data and geographic information systems: An example from 2007 Oklahoma ice storm Urban Forestry & Urban Greening, 2015 DOI:10.1016/j.ufug.2015.05.008