Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China
文献类型:SCI/SSCI论文
作者 | Yang F. |
发表日期 | 2013 |
关键词 | Evapotranspiration Scale Remote sensing Haloxylon ammodendron The arid areas energy balance algorithm evapo-transpiration canopy reflectance eddy covariance penman-monteith heat fluxes water-use vegetation forest model |
英文摘要 | Transpiration, an essential component of surface evapotranspiration, is particularly important in the research of surface evapotranspiration in arid areas. The paper explores the spectral information of the arid vegetal evapotranspiration from a semi-empirical perspective by the measured data and the up-scaling method. The paper inverted the transpiration of Haloxylon ammodendron at the canopy, pixel and regional scales in the southern edge of the Gurbantunggut desert in Xinjiang, China. The results are as follows: at the canopy scale, the optimal exponential model of the sap flow rate based on the hyperspectrum is y = 0.0015e(3.8922x) , R (2) = 0.806. At the pixel scale, there was a good linear relationship between the sap flow and the SR index, with a relationship of y = -1197.38x (3) + 1048.43x (2) - 305.47x + 455.15, R (2) = 0.845. At the regional scale, based on the optimal exponential model and the EO-1 Hyperion remote-sensing data, the transpiration of the study area was inverted. Comparing the results of the SEBAL and SEBS models, the errors of the simulation results were 7.78 and 8.80 %. The paper made full use of the knowledge flow at different scales, bridging the scale difference in canopy and remote-sensing images to avoid the information bottleneck in the up-scaling. However, there are many constraints in the data acquirement, the efficiency of the models, the endmembers determination, the temporal-spatial up-scaling, and the accuracy assessment, which would be improved in future studies. |
出处 | Environmental Earth Sciences |
卷 | 69 |
期 | 5 |
页 | 1549-1558 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1866-6280 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/30644] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Yang F.. Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China. 2013. |
入库方式: OAI收割
来源:地理科学与资源研究所
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