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Conference Paper: Comparison of two vegetation classification techniques in China based on NOAA/AVHRR data and climate-vegetation indices of the holdridge life zone

TitleComparison of two vegetation classification techniques in China based on NOAA/AVHRR data and climate-vegetation indices of the holdridge life zone
Authors
Li, XiaobingGong, PengPu, RuiliangShi, Peijun
Issue Date2001
Citation
International Geoscience and Remote Sensing Symposium (IGARSS), 2001, v. 4, p. 1895-1897 How to Cite?
DOI: http://dx.doi.org/10.1109/IGARSS.2001.977108
AbstractIn this paper, we developed a new multi-source data set for integrated analysis of vegetation classification at a continental scale, and applied it in China. Two kinds of supervised classification methods, artificial neural network (NN) and maximum likelihood classification (MLC) algorithm were employed to classify the data set in order to ascertain which method is better for this new data set. Classification results were validated with same test samples and field samples based on GPS. The accuracy of classification by NN was better than by MLC.
Persistent Identifierhttp://hdl.handle.net/10722/296524

 

DC FieldValueLanguage
dc.contributor.authorLi, Xiaobing-
dc.contributor.authorGong, Peng-
dc.contributor.authorPu, Ruiliang-
dc.contributor.authorShi, Peijun-
dc.date.accessioned2021-02-25T15:16:05Z-
dc.date.available2021-02-25T15:16:05Z-
dc.date.issued2001-
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), 2001, v. 4, p. 1895-1897-
dc.identifier.urihttp://hdl.handle.net/10722/296524-
dc.description.abstractIn this paper, we developed a new multi-source data set for integrated analysis of vegetation classification at a continental scale, and applied it in China. Two kinds of supervised classification methods, artificial neural network (NN) and maximum likelihood classification (MLC) algorithm were employed to classify the data set in order to ascertain which method is better for this new data set. Classification results were validated with same test samples and field samples based on GPS. The accuracy of classification by NN was better than by MLC.-
dc.languageeng-
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.titleComparison of two vegetation classification techniques in China based on NOAA/AVHRR data and climate-vegetation indices of the holdridge life zone-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IGARSS.2001.977108-
dc.identifier.scopuseid_2-s2.0-0035569157-
dc.identifier.volume4-
dc.identifier.spage1895-
dc.identifier.epage1897-

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