中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
69
5
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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