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Article: Meta-discoveries from a synthesis of satellite-based land-cover mapping research

TitleMeta-discoveries from a synthesis of satellite-based land-cover mapping research
Authors
Issue Date2014
Citation
International Journal of Remote Sensing, 2014, v. 35, n. 13, p. 4573-4588 How to Cite?
AbstractSince the launch of the first land-observation satellite (Landsat-1) in 1972, land-cover mapping has accumulated a wide range of knowledge in the peer-reviewed literature. However, this knowledge has never been comprehensively analysed for new discoveries. Here, we developed the first spatialized database of scientific literature in English about land-cover mapping. Using this database, we tried to identify the spatial temporal patterns and spatial hotspots of land-cover mapping research around the world. Among other findings, we observed (1) a significant mismatch between hotspot areas of land-cover mapping and areas that are either hard to map or rich in biodiversity; (2) mapping frequency is positively related to economic conditions; (3) there is no obvious temporal trend showing improvement in mapping accuracy; (4) images with more spectral bands or a combination of data types resulted in increased mapping accuracies; (5) accuracy differences due to algorithm differences are not as large as those due to various types of data used; and (6) the complexity of a classification system decreases its mapping accuracy. We recommend that one way to improve our understanding of the challenges, advances, and applications of previous land-cover mapping is for journals to require area-based information at the time of manuscript submission. In addition, building a standard protocol for systematic assessment of land-cover mapping efforts at the global scale through international collaboration is badly needed. © 2014 © 2014 The Author(s). Published by Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/296734
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.776
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYu, Le-
dc.contributor.authorLiang, Lu-
dc.contributor.authorWang, Jie-
dc.contributor.authorZhao, Yuanyuan-
dc.contributor.authorCheng, Qu-
dc.contributor.authorHu, Luanyun-
dc.contributor.authorLiu, Shuang-
dc.contributor.authorYu, Liang-
dc.contributor.authorWang, Xiaoyi-
dc.contributor.authorZhu, Peng-
dc.contributor.authorLi, Xueyan-
dc.contributor.authorXu, Yue-
dc.contributor.authorLi, Congcong-
dc.contributor.authorFu, Wei-
dc.contributor.authorLi, Xuecao-
dc.contributor.authorLi, Wenyu-
dc.contributor.authorLiu, Caixia-
dc.contributor.authorCong, Na-
dc.contributor.authorZhang, Han-
dc.contributor.authorSun, Fangdi-
dc.contributor.authorBi, Xinfang-
dc.contributor.authorXin, Qinchuan-
dc.contributor.authorLi, Dandan-
dc.contributor.authorYan, Donghui-
dc.contributor.authorZhu, Zhiliang-
dc.contributor.authorGoodchild, Michael F.-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:34Z-
dc.date.available2021-02-25T15:16:34Z-
dc.date.issued2014-
dc.identifier.citationInternational Journal of Remote Sensing, 2014, v. 35, n. 13, p. 4573-4588-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://hdl.handle.net/10722/296734-
dc.description.abstractSince the launch of the first land-observation satellite (Landsat-1) in 1972, land-cover mapping has accumulated a wide range of knowledge in the peer-reviewed literature. However, this knowledge has never been comprehensively analysed for new discoveries. Here, we developed the first spatialized database of scientific literature in English about land-cover mapping. Using this database, we tried to identify the spatial temporal patterns and spatial hotspots of land-cover mapping research around the world. Among other findings, we observed (1) a significant mismatch between hotspot areas of land-cover mapping and areas that are either hard to map or rich in biodiversity; (2) mapping frequency is positively related to economic conditions; (3) there is no obvious temporal trend showing improvement in mapping accuracy; (4) images with more spectral bands or a combination of data types resulted in increased mapping accuracies; (5) accuracy differences due to algorithm differences are not as large as those due to various types of data used; and (6) the complexity of a classification system decreases its mapping accuracy. We recommend that one way to improve our understanding of the challenges, advances, and applications of previous land-cover mapping is for journals to require area-based information at the time of manuscript submission. In addition, building a standard protocol for systematic assessment of land-cover mapping efforts at the global scale through international collaboration is badly needed. © 2014 © 2014 The Author(s). Published by Taylor & Francis.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleMeta-discoveries from a synthesis of satellite-based land-cover mapping research-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01431161.2014.930206-
dc.identifier.scopuseid_2-s2.0-84904971625-
dc.identifier.volume35-
dc.identifier.issue13-
dc.identifier.spage4573-
dc.identifier.epage4588-
dc.identifier.eissn1366-5901-
dc.identifier.isiWOS:000340105700001-
dc.identifier.issnl0143-1161-

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