Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.agrformet.2016.03.012 |
Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model | |
Wang, Yong Qiang1; Xiong, Yu Jiu2,3; Qiu, Guo Yu1; Zhang, Qing Tao2 | |
通讯作者 | Xiong, Yu Jiu ; Qiu, Guo Yu |
来源期刊 | AGRICULTURAL AND FOREST METEOROLOGY |
ISSN | 0168-1923 |
EISSN | 1873-2240 |
出版年 | 2016 |
卷号 | 230页码:128-141 |
英文摘要 | Many remotely sensed evapotranspiration (ET) calculations are based on algorithms that include an aerodynamic resistance-related parameter, which is significantly affected by heterogeneity and could cause the ET to be underestimated as the scale increases, and it is challenging to verify the ET estimation because of the lack of a bridge between satellite-based remote sensing and ground-based measurements. To address this issue, an approach using a "thermal infrared remote sensing + three-temperature model" is proposed and applied under multi-scale conditions. It is hypothesized that good consistency exists between multi-scale aggregations and ET estimates using the proposed method because it does not include aerodynamic resistance. The mothed was verified in the Zhangye Oasis during the first thematic experiment launched under the HiWATER project using extensive eddy correlation (EC) tower observations (a total of 16 ECtowers) and multi-scale thermal infrared datasets, including aerial photos (3 m, as a bridge between the ground and satellite measurements), ETM+ (60-m resolution), ASTER (90 m), and MODIS (1000 m). The results show that good agreement is obtained between the EC-measured" ET and that using remote sensing techniques under multi-scale conditions. The determination coefficients (R-2) between the measured and estimated latent heat flux (LE) values were 0.72, 0.81, 0.61, and 0.53 for the aerial photos, ETM+, ASTER and MODIS, respectively. The respective mean absolute errors (MAEs) were 63.64, 56.56, 59.32, and 80.34 Wm(-2), and the mean absolute percent errors (MAPEs) were 12.00,11.18, 10.78, and 14.60%, respectively. However, the estimated ET became slightly overestimated as the sensor resolution decreased. In addition, the variability of the heterogeneous landscape represented by the range of LE values and the standard deviation decreased gradually as the sensor resolution decreased. Aggregation (up-scaling) of ET from higher-resolution images could better represent the heterogeneity over land surfaces than the original (unaggregated) ET maps, and there is high consistency between multi-scale aggregation and estimation, with a minimum R-2 of 0.76 and a maximum root-mean-square error (RMSE) of 64.80 Wm(-2). The proposed methodology is concluded to be a feasible method for estimating ET under multi-scale conditions over heterogeneous landscapes. (C) 2016 Elsevier B.V. All rights reserved. |
英文关键词 | Evapotranspiration Scale aggregation Up-scaling Thermal infrared remote sensing Three-temperature model HiWATER |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000389731800012 |
WOS关键词 | LAND-SURFACE TEMPERATURE ; APERTURE SCINTILLOMETER MEASUREMENTS ; BALANCE SYSTEM SEBS ; EDDY-COVARIANCE ; HEAT-FLUX ; TERRESTRIAL EVAPOTRANSPIRATION ; REGIONAL EVAPOTRANSPIRATION ; RADIOMETRIC TEMPERATURE ; SOIL EVAPORATION ; SENSED VARIABLES |
WOS类目 | Agronomy ; Forestry ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
来源机构 | 北京大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/191075 |
作者单位 | 1.Peking Univ, Sch Environm & Energy, Shenzhen Engn Lab Water Desalinizat Renewable Ene, Shenzhen 518055, Guangdong, Peoples R China; 2.Sun Yat Sen Univ, Sch Geog & Planning, Dept Water Resource & Environm, Guangzhou 510275, Guangdong, Peoples R China; 3.Sun Yat Sen Univ, Guangdong High Educ Inst, Key Lab Water Cycle & Water Secur Southern China, Guangzhou 510275, Guangdong, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yong Qiang,Xiong, Yu Jiu,Qiu, Guo Yu,et al. Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model[J]. 北京大学,2016,230:128-141. |
APA | Wang, Yong Qiang,Xiong, Yu Jiu,Qiu, Guo Yu,&Zhang, Qing Tao.(2016).Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model.AGRICULTURAL AND FOREST METEOROLOGY,230,128-141. |
MLA | Wang, Yong Qiang,et al."Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model".AGRICULTURAL AND FOREST METEOROLOGY 230(2016):128-141. |
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