title: Monitoring the invasion of Spartina alterniflora using very high resolution unmanned aerial vehicle imagery in Beihai, Guangxi (China).
abstract: Spartina alterniflora was introduced to Beihai, Guangxi (China), for ecological engineering purposes in 1979. However, the exceptional adaptability and reproductive ability of this species have led to its extensive dispersal into other habitats, where it has had a negative impact on native species and threatens the local mangrove and mudflat ecosystems. To obtain the distribution and spread of Spartina alterniflora, we collected HJ-1 CCD imagery from 2009 and 2011 and very high resolution (VHR) imagery from the unmanned aerial vehicle (UAV). The invasion area of Spartina alterniflora was 357.2 ha in 2011, which increased by 19.07% compared with the area in 2009. A field survey was conducted for verification and the total accuracy was 94.0%. The results of this paper show that VHR imagery can provide details on distribution, progress, and early detection of Spartina alterniflora invasion. OBIA, object based image analysis for remote sensing (RS) detection method, can enable control measures to be more effective, accurate, and less expensive than a field survey of the invasive population.
authors.affiliation: Satellite Environmental Application Center, Ministry of Environmental Protection, Beijing 100094, China.
authors.forename: Huawei
authors.initials: H
authors.lastname: Wan
authors.affiliation: Satellite Environmental Application Center, Ministry of Environmental Protection, Beijing 100094, China.
authors.forename: Qiao
authors.initials: Q
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Jiang
authors.affiliation: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China ; University of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Jingying
authors.identifier: 0000-0003-2748-1361
authors.initials: J
authors.lastname: Fu
authors.affiliation: Satellite Environmental Application Center, Ministry of Environmental Protection, Beijing 100094, China.
authors.forename: Yipeng
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Satellite Environmental Application Center, Ministry of Environmental Protection, Beijing 100094, China.
authors.forename: Xiaoman
authors.initials: X
authors.lastname: Liu
mesh_terms: D002681:China; D058865:Introduced Species; D006109:Poaceae / Q000254:growth & development*; D058998:Remote Sensing Technology