Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis
文献类型：期刊论文
| 作者 | Sun, Xiaohui2; Wu, Wenjin; Li, Xinwu; Xu, Xiyan4; Li, Jinfeng1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021 |
| 卷号 | 13期号:2 |
| 关键词 | Antarctica vegetation abundance WorldView-2 spectral mixture analysis moss health evaluation |
| DOI | 10.3390/rs13020166 |
| 文献子类 | Article |
| 英文摘要 | In polar regions, vegetation is especially sensitive to climate dynamics and thus can be used as an indicator of the global and regional environmental change. However, in Antarctica, there is very little information on vegetation distribution and growth status. To fill this gap, we evaluated the ability of both linear and nonlinear spectral mixture analysis (SMA) models, including a group of newly developed modified Nascimento's models for Antarctic vegetated areas (MNM-AVs), in estimating the abundance of major Antarctic vegetation types, i.e., mosses and lichens. The study was conducted using WorldView-2 satellite data and field measurements over the Fildes Peninsula and its surroundings, which are representative vegetated areas in Antarctica. In MNM-AVs, we introduced secondary scattering components for vegetation and its background to account for the sparsity of vegetation cover and reassigned their coefficients. The new models achieved improved performances, among which MNM-AV3 achieved the lowest error for mosses (lichens) abundance estimation with RMSE = 0.202 (0.213). Compared with MNM-AVs, the linear model performed particularly poor for lichens (RMSE = 0.322), which is in contrast to the case of mosses (RMSE = 0.212), demonstrating that spectral signals of lichens are more prone to mix with their backgrounds. Abundance maps of mosses and lichens, as well as a map of moss health status for the entire study area, were then obtained based on MNM-AV3 with around 80% overall accuracy. Moss areas account for 0.7695 km(2) in Fildes and 0.3259 km(2) in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress. |
| 学科主题 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版地 | BASEL |
| 电子版国际标准刊号 | 2072-4292 |
| WOS关键词 | KING-GEORGE-ISLAND ; TERRESTRIAL VEGETATION ; BARTON PENINSULA ; LICHEN FLORA ; MOSS ; COVER ; STATION ; GROWTH ; SOILS ; INDEX |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000611556600001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences [XDA19070203] ; International Partnership Program of the Chinese Academy of Sciences [183611KYSB20200059, 131C11KYSB20160061] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/26589]  |
| 专题 | 植物研究所_系统与进化植物学研究中心_系统与进化植物学研究中心_学位论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, 20 Nanxincun, Beijing 100093, Peoples R China 4.Chinese Acad Sci, Qilu Res Inst, Aerosp Informat Res Inst, Jinan 250101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Xiaohui,Wu, Wenjin,Li, Xinwu,et al. Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis[J]. REMOTE SENSING,2021,13(2). |
| APA | Sun, Xiaohui,Wu, Wenjin,Li, Xinwu,Xu, Xiyan,&Li, Jinfeng.(2021).Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis.REMOTE SENSING,13(2). |
| MLA | Sun, Xiaohui,et al."Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis".REMOTE SENSING 13.2(2021). |
入库方式： OAI收割
来源：植物研究所
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