Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/su11030864 |
Fractional Vegetation Cover Estimation of Different Vegetation Types in the Qaidam Basin | |
Zhang, Siqi; Chen, Hui; Fu, Yang; Niu, Huihui; Yang, Yi; Zhang, Boxiong | |
通讯作者 | Chen, Hui |
来源期刊 | SUSTAINABILITY
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ISSN | 2071-1050 |
出版年 | 2019 |
卷号 | 11期号:3 |
英文摘要 | The estimation of fractional vegetation cover (FVC) by using remote sensing images has become feasible. Based on Landsat8-OLI images and field data obtained from an unmanned aerial vehicle, we established an empirical model (EM) and a pixel decomposition model (PDM) of FVC in the desert vegetation region, steppe vegetation region, meadow vegetation region and mixed vegetation region (the three vegetation region types) of the Qaidam Basin, and the inversion accuracies of the models were compared. The results show the following: (1) Vegetation classification inversion (VCI) provides a promising approach for FVC estimation. The accuracy of FVC by VCI was obviously better than that achieved using vegetation mixed inversion (VMI); (2) Differences were observed in the FVC estimation between VCI and VMI by the EM in areas with relatively high-density vegetation cover (FVC > 60%). The FVC in some parts of steppe region in the basin was slightly overestimated by VMI of the EM; 3) VCI estimated by the PDM resulted in lower inversion values for extremely low-density vegetation cover (FVC 10%) and higher inversion values for high-density vegetation cover (FVC > 80%). The FVC inversion was underestimated by the PDM in steppe and meadow regions with FVC > 15% in the basin. The application of VCI in different models can provide new ideas for the sustainable study of vegetation in arid regions. |
英文关键词 | fractional vegetation cover empirical model pixel decomposition model accuracy evaluation |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
开放获取类型 | gold, Green Submitted |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000458929500309 |
WOS关键词 | SPECTRAL MIXTURE ANALYSIS ; AQUATIC VEGETATION ; REMOTE ESTIMATION ; FOREST COVER ; SOIL ; GRASSLAND ; PLATEAU ; INDEX ; ENVIRONMENTS ; MULTISCALE |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218968 |
作者单位 | Hebei Normal Univ, Coll Resources & Environm Sci, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Hebei, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Siqi,Chen, Hui,Fu, Yang,et al. Fractional Vegetation Cover Estimation of Different Vegetation Types in the Qaidam Basin[J],2019,11(3). |
APA | Zhang, Siqi,Chen, Hui,Fu, Yang,Niu, Huihui,Yang, Yi,&Zhang, Boxiong.(2019).Fractional Vegetation Cover Estimation of Different Vegetation Types in the Qaidam Basin.SUSTAINABILITY,11(3). |
MLA | Zhang, Siqi,et al."Fractional Vegetation Cover Estimation of Different Vegetation Types in the Qaidam Basin".SUSTAINABILITY 11.3(2019). |
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