Simplified Priestley–Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity

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 incid...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2021-03, Vol.13 (5), p.902
Main Authors: Yao, Yunjun, Di, Zhenhua, Xie, Zijing, Xiao, Zhiqiang, Jia, Kun, Zhang, Xiaotong, Shang, Ke, Yang, Junming, Bei, Xiangyi, Guo, Xiaozheng, Yu, Ruiyang
Format: Article
Language:English
Subjects:
Calibration
Case studies
Coniferous forests
Covariance
eddy covariance
Estimation
Evapotranspiration
GLASS product
Headwaters
Heat
Humidity
Land cover
Latent heat
NDVI
Net radiation
Normalized difference vegetative index
Relative humidity
River ecology
Short wave radiation
Spatial discrimination
Spatial resolution
SPT model
terrestrial latent heat flux
Vegetation
Vegetation index
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs13050902