Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81597
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorJia, Ten_US
dc.creatorLi, Yen_US
dc.creatorShi, Wen_US
dc.creatorZhu, Len_US
dc.date.accessioned2020-01-21T08:49:04Z-
dc.date.available2020-01-21T08:49:04Z-
dc.identifier.issn2072-4292en_US
dc.identifier.urihttp://hdl.handle.net/10397/81597-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Jia T, Li Y, Shi W, Zhu L. Deriving a Forest Cover Map in Kyrgyzstan Using a Hybrid Fusion Strategy. Remote Sensing. 2019; 11(19):2325, is available at https://doi.org/10.3390/rs11192325en_US
dc.subjectdata fusionen_US
dc.subjectForest cover mapen_US
dc.subjectGlobeLand30en_US
dc.subjectStacking learningen_US
dc.subjectUSGS TreeCover2010en_US
dc.titleDeriving a forest cover map in Kyrgyzstan using a hybrid fusion strategyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume11en_US
dc.identifier.issue19en_US
dc.identifier.doi10.3390/rs11192325en_US
dcterms.abstractForests have potential economic value and play a significant role in maintaining ecological balance. Considering its outdated and incomplete forest statistics, the Kyrgyzstan Republic urgently needs a forest cover map for assessing its current forest resources and assisting national policies on improving rural livelihood and sustainability. This study adopted a hybrid fusion strategy to develop a forest cover map for the Kyrgyzstan Republic with improved accuracy. The fusion strategy uses the merits of the GlobeLand30 in 2010 and the USGS TreeCover2010, the benefits of auxiliary geographic information, and the advantages of the stacking learning method in classification. Additionally, we explored the influence of different forest definitions, based on the tree cover percentage value n the USGS TreeCover2010, on the accuracy of forest cover. Results suggested that the accuracy of our model can be improved significantly by including auxiliary geographic features and feeding the optimal size of training samples. Thereafter, using our model, forest cover maps were derived at different tree cover threshold values in the USGS TreeCover2010. Importantly, the forest cover map at the tree cover threshold value of 40% was determined as the most accurate one with the kappa value of 0.89, whose spatial extent constitutes about 2.4% of the entire territory. This estimated forest cover percentage suggests a low estimation of forest resources based on rigorous definition, which can be valuable for reviewing and amending the current national forest policies.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, 2019, v. 11, no. 19, 2325en_US
dcterms.isPartOfInternational journal of environmental research and public healthen_US
dcterms.issued2019-
dc.identifier.isiWOS:000496827100139-
dc.identifier.scopus2-s2.0-85073443987-
dc.identifier.eissn2072-4292en_US
dc.identifier.artn2325en_US
dc.description.validate202001 bcma-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Jia_Deriving_forest_cover.pdf16.73 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

84
Citations as of Jul 3, 2022

Downloads

75
Citations as of Jul 3, 2022

SCOPUSTM   
Citations

3
Citations as of Jun 30, 2022

WEB OF SCIENCETM
Citations

3
Citations as of Jun 30, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.