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Article: Bamboo mapping of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery

TitleBamboo mapping of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery
Authors
KeywordsMulti-temporal
Bamboo
East Africa
Landsat
Issue Date2018
Citation
International Journal of Applied Earth Observation and Geoinformation, 2018, v. 66, p. 116-125 How to Cite?
Abstract© 2017 Elsevier B.V. Mapping the spatial distribution of bamboo in East Africa is necessary for biodiversity conservation, resource management and policy making for rural poverty reduction. In this study, we produced a contemporary bamboo cover map of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery series at 30 m spatial resolution. This is the first bamboo map generated using remotely sensed data for these three East African countries that possess most of the African bamboo resource. The producer's and user's accuracies of bamboos are 79.2% and 84.0%, respectively. The hotspots with large amounts of bamboo were identified and the area of bamboo coverage for each region was estimated according to the map. The seasonal growth status of two typical bamboo zones (one highland bamboo and one lowland bamboo) were analyzed and the multi-temporal imagery proved to be useful in differentiating bamboo from other vegetation classes. The images acquired in September to February are less contaminated by clouds and shadows, and the image series cover the dying back process of lowland bamboo, which were helpful for bamboo identification in East Africa.
Persistent Identifierhttp://hdl.handle.net/10722/296867
ISSN
2020 Impact Factor: 5.933
2020 SCImago Journal Rankings: 1.623
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhao, Yuanyuan-
dc.contributor.authorFeng, Duole-
dc.contributor.authorJayaraman, Durai-
dc.contributor.authorBelay, Daniel-
dc.contributor.authorSebrala, Heiru-
dc.contributor.authorNgugi, John-
dc.contributor.authorMaina, Eunice-
dc.contributor.authorAkombo, Rose-
dc.contributor.authorOtuoma, John-
dc.contributor.authorMutyaba, Joseph-
dc.contributor.authorKissa, Sam-
dc.contributor.authorQi, Shuhua-
dc.contributor.authorAssefa, Fiker-
dc.contributor.authorOduor, Nellie Mugure-
dc.contributor.authorNdawula, Andrew Kalema-
dc.contributor.authorLi, Yanxia-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:51Z-
dc.date.available2021-02-25T15:16:51Z-
dc.date.issued2018-
dc.identifier.citationInternational Journal of Applied Earth Observation and Geoinformation, 2018, v. 66, p. 116-125-
dc.identifier.issn1569-8432-
dc.identifier.urihttp://hdl.handle.net/10722/296867-
dc.description.abstract© 2017 Elsevier B.V. Mapping the spatial distribution of bamboo in East Africa is necessary for biodiversity conservation, resource management and policy making for rural poverty reduction. In this study, we produced a contemporary bamboo cover map of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery series at 30 m spatial resolution. This is the first bamboo map generated using remotely sensed data for these three East African countries that possess most of the African bamboo resource. The producer's and user's accuracies of bamboos are 79.2% and 84.0%, respectively. The hotspots with large amounts of bamboo were identified and the area of bamboo coverage for each region was estimated according to the map. The seasonal growth status of two typical bamboo zones (one highland bamboo and one lowland bamboo) were analyzed and the multi-temporal imagery proved to be useful in differentiating bamboo from other vegetation classes. The images acquired in September to February are less contaminated by clouds and shadows, and the image series cover the dying back process of lowland bamboo, which were helpful for bamboo identification in East Africa.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Applied Earth Observation and Geoinformation-
dc.subjectMulti-temporal-
dc.subjectBamboo-
dc.subjectEast Africa-
dc.subjectLandsat-
dc.titleBamboo mapping of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jag.2017.11.008-
dc.identifier.scopuseid_2-s2.0-85059817780-
dc.identifier.volume66-
dc.identifier.spage116-
dc.identifier.epage125-
dc.identifier.eissn1872-826X-
dc.identifier.isiWOS:000423650500011-
dc.identifier.issnl1569-8432-

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