[1]YANG Yang,WANG Lijuan,YUE Ping,et al.Terrestrial Evapotranspiration Estimated Based on Remote Sensing Empirical Model and Land Surface Model Over Semi-Arid Regions[J].Research of Soil and Water Conservation,2020,27(05):147-153,159.
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Terrestrial Evapotranspiration Estimated Based on Remote Sensing Empirical Model and Land Surface Model Over Semi-Arid Regions
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 05
Page number:
147-153,159
Column:
目次
Public date:
2020-08-20
- Title:
- Terrestrial Evapotranspiration Estimated Based on Remote Sensing Empirical Model and Land Surface Model Over Semi-Arid Regions
- Keywords:
- terrestrial evapotranspiration; remote sensing empirical model; land surface model; normalized vegetation index; semi-arid region
- CLC:
- P404; P426.2
- DOI:
- -
- Abstract:
- Land surface evapotranspiration is an important component of surface water and energy cycle. Accurate estimation of land surface evapotranspiration is of great significance to regional climate research and drought monitoring. We used the high temporal resolution net radiation and surface temperature simulated by CLM as the input of the remote sensing empirical statistical model(EMP)to estimate terrestrial evapotranspiration in the semi-arid region of Northwest China based on the observation data of Semi-Arid Climate Observatory and Laboratory of Lanzhou University(SACOL). Compared with the observed values, the results showed that the simulation performance of CLM for net radiation and surface temperature was ideal, the RMSE, MAPE of the net radiation and surface temperature simulated by CLM were relatively small, and the correlation was closer; the deviation between evapotranspiration estimated by EMP and measured values was small; the evapotranspiration simulated by CLM model was in good agreement with the observed values, but the values were larger than the observed values; the trend of evapotranspiration obtained by EMP_CLM which proposed by more accurate net radiation and surface temperature simulated by CLM and NDVI was more consistent with the observed values; the deviation between the two was smaller and the correlation was better. The estimation accuracy of evapotranspiration in semi-arid region was significantly improved, and higher temporal resolution evapotranspiration can be obtained. Generally speaking, the new method can improve the estimation performance of evapotranspiration in semi-arid area.
- References:
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Last Update:
2020-08-25