An automated method for the detection of emperor penguin colonies from Landsat 8 imagery | |
She, Xiao-Yi1; Ke, Chang-Qing1,2; Miao, Xin3; Zhang, Xi4; Zhang, Jie4 | |
刊名 | REMOTE SENSING LETTERS
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2017 | |
卷号 | 8期号:6页码:596-605 |
关键词 | Emperor penguins colony normalized difference faeces index detection Landsat 8 Antarctica |
ISSN号 | 2150-704X |
DOI | 10.1080/2150704X.2017.1306136 |
英文摘要 | Detailed information on the emperor penguin colonies is crucial for estimating total populations and analysing population migration. This study presents a new method for detecting colonies of emperor penguins by identifying areas covered with their faeces using Landsat 8 data. Top of Atmosphere (TOA) reflectance and Brightness Temperature (BT) of Landsat images are used as inputs. This method first uses normalized spectral indexes (normalized difference water index (NDWI), normalized difference faeces index (NDFI), normalized difference snow index (NDSI)), band ratios and an individual band reflectance to produce probability masks for areas covered by faeces differentiating from other land cover types. Then, after eliminating those pixels that have abnormal elevations and performing a median filter, the probability masks for those areas covered by faeces are used to derive the corresponding polygons. Subsequently, the geometric centre of the polygons of those areas covered by faeces is used as the location for a corresponding colony. For a widely distributed set of data around the Ross and Somov Seas, the overall classification accuracy is as high as 91% with a small standard deviation of 0.12. |
资助项目 | Foreign Cooperation of Chinese Arctic and Antarctic Administration[IC201301] |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000398185100011 |
内容类型 | 期刊论文 |
源URL | [http://ir.fio.com.cn/handle/2SI8HI0U/3289] ![]() |
专题 | 业务部门_海洋物理与遥感研究室 |
作者单位 | 1.Nanjing Univ, Collaborat Innovat Ctr South China Sea Studies, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China; 2.Nanjing Univ, Collaborat Innovat Ctr Novel Software Technol & I, Nanjing 210023, Jiangsu, Peoples R China; 3.Missouri State Univ, Dept Geog Geol & Planning, Springfield, MO USA; 4.State Ocean Adm, Inst Oceanog 1, Qingdao, Peoples R China |
推荐引用方式 GB/T 7714 | She, Xiao-Yi,Ke, Chang-Qing,Miao, Xin,et al. An automated method for the detection of emperor penguin colonies from Landsat 8 imagery[J]. REMOTE SENSING LETTERS,2017,8(6):596-605. |
APA | She, Xiao-Yi,Ke, Chang-Qing,Miao, Xin,Zhang, Xi,&Zhang, Jie.(2017).An automated method for the detection of emperor penguin colonies from Landsat 8 imagery.REMOTE SENSING LETTERS,8(6),596-605. |
MLA | She, Xiao-Yi,et al."An automated method for the detection of emperor penguin colonies from Landsat 8 imagery".REMOTE SENSING LETTERS 8.6(2017):596-605. |
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