Simplified Priestley–Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity
| Autor: | Zhiqiang Xiao, Ke Shang, Junming Yang, Zijing Xie, Xiangyi Bei, Xiaotong Zhang, Zhenhua Di, Yunjun Yao, Xiaozheng Guo, Ruiyang Yu, Kun Jia |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
NDVI Science 0208 environmental biotechnology Eddy covariance Flux 02 engineering and technology Atmospheric sciences SPT model 01 natural sciences Normalized Difference Vegetation Index 020801 environmental engineering FluxNet terrestrial latent heat flux GLASS product Evapotranspiration Latent heat eddy covariance General Earth and Planetary Sciences Environmental science Relative humidity Shortwave radiation 0105 earth and related environmental sciences |
| Zdroj: | Remote Sensing, Vol 13, Iss 902, p 902 (2021) Remote Sensing Volume 13 Issue 5 Pages: 902 |
| ISSN: | 2072-4292 |
| Popis: | An operational and accurate model for estimating global or regional terrestrial latent heat of evapotranspiration (ET) across different land-cover types from satellite data is crucial. Here, a simplified Priestley–Taylor (SPT) model was developed without surface net radiation (Rn) by combining incident shortwave radiation (Rs), satellite vegetation index, and air relative humidity (RH). Ground-measured ET for 2000–2009 collected by 100 global FLUXNET eddy covariance (EC) sites was used to calibrate and evaluate the SPT model. A series of cross-validations demonstrated the reasonable performance of the SPT model to estimate seasonal and spatial ET variability. The coefficients of determination (R2) of the estimated versus observed daily (monthly) ET ranged from 0.42 (0.58) (p < 0.01) at shrubland (SHR) flux sites to 0.81 (0.86) (p < 0.01) at evergreen broadleaf forest (EBF) flux sites. The SPT model was applied to estimate agricultural ET at high spatial resolution (16 m) from Chinese Gaofen (GF)-1 data and monitor long-term (1982–2018) ET variations in the Three-River Headwaters Region (TRHR) of mainland China using the Global LAnd-Surface Satellite (GLASS) normalized difference vegetation index (NDVI) product. The proposed SPT model without Rn provides an alternative model for estimating regional terrestrial ET across different land-cover types. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|