Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery

cg.contributor.crpForests, Trees and Agroforestryen_US
cg.coverage.regionCentral Asiaen_US
cg.identifier.doihttps://doi.org/10.1038/s41598-017-01582-xen_US
cg.issn2045-2322en_US
cg.issue1en_US
cg.journalScientific Reportsen_US
cg.subject.ciforCLIMATE CHANGEen_US
cg.subject.ciforCLIMATE CHANGE MITIGATIONen_US
cg.subject.ciforFOREST AND LANDSCAPE RESTORATIONen_US
cg.volume7en_US
dc.contributor.authorHe, Y.en_US
dc.contributor.authorPflugmacher, D.en_US
dc.contributor.authorMartius, C.en_US
dc.date.accessioned2018-07-03T10:56:37Zen_US
dc.date.available2018-07-03T10:56:37Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/93913en_US
dc.titleForest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imageryen_US
dcterms.abstractDespite rapid advances and large-scale initiatives in forest mapping, reliable cross-border information about the status of forest resources in Central Asian countries is lacking. We produced consistent Central Asia forest cover (CAFC) maps based on a cost-efficient approach using multi-resolution satellite imagery from Landsat and MODIS during 2009–2011. The spectral-temporal metrics derived from 2009–2011 Landsat imagery (overall accuracy of 0.83) was used to predict sub-pixel forest cover on the MODIS scale for 2010. Accuracy assessment confirmed the validity of MODIS-based forest cover map with a normalized root-mean-square error of 0.63. A general paucity of forest resources in post-Soviet Central Asia was indicated, with 1.24% of the region covered by forest. In comparison to the CAFC map, a regional map derived from MODIS Vegetation Continuous Fields tended to underestimate forest cover, while the Global Forest Change product matched well. The Global Forest Resources Assessments, based on individual country reports, overestimated forest cover by 1.5 to 147 times, particularly in the more arid countries of Turkmenistan and Uzbekistan. Multi-resolution imagery contributes to regionalized assessment of forest cover in the world’s drylands while developed CAFC maps (available at https://data.zef.de/) aim to facilitate decisions on biodiversity conservation and reforestation programs in Central Asia.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2017-05-02en_US
dcterms.bibliographicCitationHe, Y., Pflugmacher, D., Martius, C.. 2017. Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery Scientific Reports, 7 (1) : 1375. http://dx.doi.org/10.1038/s41598-017-01582-xen_US
dcterms.issued2017en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherSpringeren_US
dcterms.subjectforestsen_US
dcterms.subjectmappingen_US
dcterms.subjectremote sensingen_US
dcterms.subjectreforestationen_US
dcterms.subjectconservationen_US
dcterms.typeJournal Articleen_US

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