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

Abstract Despite 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-res...

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Autores principales:	He Yin, Asia Khamzina, Dirk Pflugmacher, Christopher Martius
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/73569d7740c14f769081f890eb2c1159
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spelling	oai:doaj.org-article:73569d7740c14f769081f890eb2c11592021-12-02T16:06:20ZForest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery10.1038/s41598-017-01582-x2045-2322https://doaj.org/article/73569d7740c14f769081f890eb2c11592017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01582-xhttps://doaj.org/toc/2045-2322Abstract Despite 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.He YinAsia KhamzinaDirk PflugmacherChristopher MartiusNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q He Yin Asia Khamzina Dirk Pflugmacher Christopher Martius Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
description	Abstract Despite 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.
format	article
author	He Yin Asia Khamzina Dirk Pflugmacher Christopher Martius
author_facet	He Yin Asia Khamzina Dirk Pflugmacher Christopher Martius
author_sort	He Yin
title	Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
title_short	Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
title_full	Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
title_fullStr	Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
title_full_unstemmed	Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery
title_sort	forest cover mapping in post-soviet central asia using multi-resolution remote sensing imagery
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/73569d7740c14f769081f890eb2c1159
work_keys_str_mv	AT heyin forestcovermappinginpostsovietcentralasiausingmultiresolutionremotesensingimagery AT asiakhamzina forestcovermappinginpostsovietcentralasiausingmultiresolutionremotesensingimagery AT dirkpflugmacher forestcovermappinginpostsovietcentralasiausingmultiresolutionremotesensingimagery AT christophermartius forestcovermappinginpostsovietcentralasiausingmultiresolutionremotesensingimagery
_version_	1718385031873822720

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

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