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Article: Forest canopy height extraction in rugged areas with ICESat/GLAS data

TitleForest canopy height extraction in rugged areas with ICESat/GLAS data
Authors
KeywordsForest inventory
Global forest monitoring
Issue Date2014
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2014, v. 52, n. 8, p. 4650-4657 How to Cite?
AbstractGeoscience Laser Altimeter System data have been widely used in forest canopy height extraction. It is still challenging over rugged areas. In this paper, we propose a forest canopy height extraction method consisting of the Savitzky-Golay filter and fitting, Sigbeg determination based on the fitting results, and slope correction for rugged areas, particularly for slopes ranging from 5° to 15°. The method was applied to both the Xinlin Forest, China, and Santa Rosa National Park, Costa Rica. The performance of this method was validated by field measurement and Laser Vegetation Imaging Sensor data. The goodness of fit (R2) reached 0.73 and 0.78, respectively, and root-mean-squared errors (RMSEs) were 2.27 and 3.75 m over the two areas, respectively. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/296730
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Xiaoyi-
dc.contributor.authorHuang, Huabing-
dc.contributor.authorGong, Peng-
dc.contributor.authorLiu, Caixia-
dc.contributor.authorLi, Congcong-
dc.contributor.authorLi, Wenyu-
dc.date.accessioned2021-02-25T15:16:33Z-
dc.date.available2021-02-25T15:16:33Z-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2014, v. 52, n. 8, p. 4650-4657-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/296730-
dc.description.abstractGeoscience Laser Altimeter System data have been widely used in forest canopy height extraction. It is still challenging over rugged areas. In this paper, we propose a forest canopy height extraction method consisting of the Savitzky-Golay filter and fitting, Sigbeg determination based on the fitting results, and slope correction for rugged areas, particularly for slopes ranging from 5° to 15°. The method was applied to both the Xinlin Forest, China, and Santa Rosa National Park, Costa Rica. The performance of this method was validated by field measurement and Laser Vegetation Imaging Sensor data. The goodness of fit (R2) reached 0.73 and 0.78, respectively, and root-mean-squared errors (RMSEs) were 2.27 and 3.75 m over the two areas, respectively. © 2013 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectForest inventory-
dc.subjectGlobal forest monitoring-
dc.titleForest canopy height extraction in rugged areas with ICESat/GLAS data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2013.2283272-
dc.identifier.scopuseid_2-s2.0-84896390771-
dc.identifier.volume52-
dc.identifier.issue8-
dc.identifier.spage4650-
dc.identifier.epage4657-
dc.identifier.isiWOS:000332598500014-
dc.identifier.issnl0196-2892-

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