Effect of spatial variation on areal evapotranspiration simulation in Haibei, Tibet plateau, China
文献类型:EI期刊论文
作者 | Yu Guirui![]() |
发表日期 | 2006 |
关键词 | Interfacial energy Remote sensing Sensitivity analysis Spatial variables control |
英文摘要 | Quantification of areal evapotranspiration from remote sensing data requires the determination of surface energy balance components with support of field observations. Much attention should be given to spatial resolution sensitivity to the physics of surface heterogeneity. Using the Priestley-Taylor model, we generated evapotranspiration maps at several spatial resolutions for a heterogeneous area at Haibei, and validated the evapotranspiration maps with the flux tower data. The results suggested that the mean values for all evapotranspiration maps were quite similar but their standard deviations decreased with the coarsening of spatial resolution. When the resolution transcended about 480 m, the standard deviations drastically decreased, indicating a loss of spatial structure information of the original resolution evapotranspiration map. The absolute values of relative errors of the points for evapotranspiration maps showed a fluctuant trend as spatial resolution of input parameter data layers coarsening, and the absolute value of relative errors reached minimum when pixel size of map matched up to measuring scale of eddy covariance system. Finally, based on the analyses of the semi-variogram of the original resolution evapotranspiration map and the shapes of spatial autocorrelation indices of Moran and Geary for evapotranspiration maps at different resolutions, an appropriate resolution was suggested for the areal evapotranspiration simulation in this study area. |
出处 | International Journal of Remote Sensing
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卷 | 27期:16页:3487-3498 |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24788] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心 |
推荐引用方式 GB/T 7714 | Yu Guirui. Effect of spatial variation on areal evapotranspiration simulation in Haibei, Tibet plateau, China. 2006. |
入库方式: OAI收割
来源:地理科学与资源研究所
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