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Article: Topographic Correction of Optical Remote Sensing Images in Mountainous Areas: A systematic review

TitleTopographic Correction of Optical Remote Sensing Images in Mountainous Areas: A systematic review
Authors
Issue Date1-Dec-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Geoscience and Remote Sensing Magazine, 2023, v. 11, n. 4, p. 125-145 How to Cite?
AbstractRugged terrain distorts optical remote sensing observations and subsequently impacts land cover classification and biophysical and biochemical parameter retrieval over mountainous areas. Therefore, topographic correction (TC) is a prerequisite for many remote sensing applications. Although various TC methods have been explored over the past four decades to mitigate topographic effects, a systematic and global review of these studies is still lacking. Using a multicomponent bibliometric approach, we extracted bibliometric metadata from 426 publications identified by searching titles, keywords, and abstracts for research on 'topographic correction' and 'topographic effects' in Scopus and Web of Science (WoS) from 1980 to 2022. This systematic review revealed a rapid growth in the number of TC studies since the 1980s, primarily driven by the availability of decametric-resolution remote sensing observations and digital elevation models (DEMs). Most of the research has focused on relatively low-elevation regions, with increasing attention beyond American and European regions, particularly in China. The seasonal distribution of satellite acquisition for TC showed considerable imbalance, mainly concentrated in months with favorable solar illumination conditions (e.g., May to October). Important themes emerged from the keyword analysis, including satellite sensors, DEMs, TC methods, evaluation criteria, and applications.
Persistent Identifierhttp://hdl.handle.net/10722/348190
ISSN
2023 Impact Factor: 16.2
2023 SCImago Journal Rankings: 3.118

 

DC FieldValueLanguage
dc.contributor.authorChen, Rui-
dc.contributor.authorYin, Gaofei-
dc.contributor.authorZhao, Wei-
dc.contributor.authorYan, Kai-
dc.contributor.authorWu, Shengbiao-
dc.contributor.authorHao, Dalei-
dc.contributor.authorLiu, Guoxiang-
dc.date.accessioned2024-10-08T00:30:52Z-
dc.date.available2024-10-08T00:30:52Z-
dc.date.issued2023-12-01-
dc.identifier.citationIEEE Geoscience and Remote Sensing Magazine, 2023, v. 11, n. 4, p. 125-145-
dc.identifier.issn2473-2397-
dc.identifier.urihttp://hdl.handle.net/10722/348190-
dc.description.abstractRugged terrain distorts optical remote sensing observations and subsequently impacts land cover classification and biophysical and biochemical parameter retrieval over mountainous areas. Therefore, topographic correction (TC) is a prerequisite for many remote sensing applications. Although various TC methods have been explored over the past four decades to mitigate topographic effects, a systematic and global review of these studies is still lacking. Using a multicomponent bibliometric approach, we extracted bibliometric metadata from 426 publications identified by searching titles, keywords, and abstracts for research on 'topographic correction' and 'topographic effects' in Scopus and Web of Science (WoS) from 1980 to 2022. This systematic review revealed a rapid growth in the number of TC studies since the 1980s, primarily driven by the availability of decametric-resolution remote sensing observations and digital elevation models (DEMs). Most of the research has focused on relatively low-elevation regions, with increasing attention beyond American and European regions, particularly in China. The seasonal distribution of satellite acquisition for TC showed considerable imbalance, mainly concentrated in months with favorable solar illumination conditions (e.g., May to October). Important themes emerged from the keyword analysis, including satellite sensors, DEMs, TC methods, evaluation criteria, and applications.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Geoscience and Remote Sensing Magazine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleTopographic Correction of Optical Remote Sensing Images in Mountainous Areas: A systematic review-
dc.typeArticle-
dc.identifier.doi10.1109/MGRS.2023.3311100-
dc.identifier.scopuseid_2-s2.0-85173343936-
dc.identifier.volume11-
dc.identifier.issue4-
dc.identifier.spage125-
dc.identifier.epage145-
dc.identifier.eissn2168-6831-
dc.identifier.issnl2168-6831-

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