Wan Huawei, Wang Qiao, Jiang Dong, Fu Jingying, Yang Yipeng, Liu Xiaoman
Satellite Environmental Application Center, Ministry of Environmental Protection, Beijing 100094, China.
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
ScientificWorldJournal. 2014;2014:638296. doi: 10.1155/2014/638296. Epub 2014 May 4.
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.
1979年,互花米草被引入中国广西北海用于生态工程目的。然而,该物种超强的适应能力和繁殖能力导致其广泛扩散至其他栖息地,对当地物种产生了负面影响,并威胁到当地的红树林和泥滩生态系统。为了解互花米草的分布和扩散情况,我们收集了2009年和2011年的HJ-1 CCD影像以及无人机的超高分辨率(VHR)影像。2011年互花米草的入侵面积为357.2公顷,相较于2009年增加了19.07%。我们进行了实地调查以作验证,总体准确率为94.0%。本文结果表明,超高分辨率影像能够提供互花米草入侵的分布、进展及早期检测的详细信息。基于对象的影像分析(OBIA)这种用于遥感(RS)检测的方法,相较于对入侵种群进行实地调查,能使控制措施更有效、准确且成本更低。