Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery
文献类型：期刊论文
| 作者 | Liu, Kai1; Su, Hongbo2 ; Li, Xueke3
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-05-01 |
| 卷号 | 9期号:5页码:20 |
| 关键词 | urban remote sensing vegetation fractional cover urban energy flux PCACA model two-source energy balance model |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9050455 |
| 通讯作者 | Liu, Kai(liukai_cas@yahoo.com) |
| 英文摘要 | Quantifying vegetation fractional cover (VFC) and assessing its role in heat fluxes modeling using medium resolution remotely sensed data has received less attention than it deserves in heterogeneous urban regions. This study examined two approaches (Normalized Difference Vegetation Index (NDVI)-derived and Multiple Endmember Spectral Mixture Analysis (MESMA)-derived methods) that are commonly used to map VFC based on Landsat imagery, in modeling surface heat fluxes in urban landscape. For this purpose, two different heat flux models, Two-source energy balance (TSEB) model and Pixel Component Arranging and Comparing Algorithm (PCACA) model, were adopted for model evaluation and analysis. A comparative analysis of the NDVI-derived and MESMA-derived VFCs showed that the latter achieved more accurate estimates in complex urban regions. When the two sources of VFCs were used as inputs to both TSEB and PCACA models, MESMA-derived urban VFC produced more accurate urban heat fluxes (Bowen ratio and latent heat flux) relative to NDVI-derived urban VFC. Moreover, our study demonstrated that Landsat imagery-retrieved VFC exhibited greater uncertainty in obtaining urban heat fluxes for the TSEB model than for the PCACA model. |
| WOS关键词 | SPECTRAL MIXTURE ANALYSIS ; ENERGY-BALANCE MODEL ; REMOTELY-SENSED DATA ; TM/ETM PLUS DATA ; EVAPOTRANSPIRATION MODEL ; HETEROGENEOUS SURFACES ; ENDMEMBER VARIABILITY ; SATELLITE DATA ; ALGORITHM ; ASTER |
| 资助项目 | Natural Science Foundation of China[41571356] ; Natural Science Foundation of China[41671362] ; China Postdoctoral Science Foundation[2016M600120] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000402573700058 |
| 出版者 | MDPI AG |
| 资助机构 | Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/63380]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Kai |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA 3.Univ Connecticut, Dept Geog, Mansfield, CT 06269 USA |
| 推荐引用方式 GB/T 7714 | Liu, Kai,Su, Hongbo,Li, Xueke. Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery[J]. REMOTE SENSING,2017,9(5):20. |
| APA | Liu, Kai,Su, Hongbo,&Li, Xueke.(2017).Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery.REMOTE SENSING,9(5),20. |
| MLA | Liu, Kai,et al."Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery".REMOTE SENSING 9.5(2017):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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