Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model

By R. G. Allen, Masahiro Tasumi, Ricardo Trezza. 2007

1,867 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/817edad756d41499da26498e71c85afaa884383a

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In Artificial Intelligence

In Global and Planetary Change

In Water Science and Technology

R. G. Allen

Citations in the corpus

A Universal Ts‐VI Triangle Method for the Continuous Retrieval of Evaporative Fraction From MODIS Products (2017, background): “As a consequence, a series of RS-based ET models with varying mechanisms and degrees of complexity have been developed over the past few decades (e.g., Allen et al., 2007; Anderson et al., 2007; Bastiaanssen et al., 1998; Nishida et al., 2003; Su, 2002).”
Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations (2010, background): “sensed imagery to provide context for estimating the surface energy budget components, typically one-source models [145], [146] that treat the landscape as a single unit; and two source models [143], [147] that divide the landscape into vegetated and”
Current status of Landsat program, science, and applications (2019, background): “Surface temperature forms the basis for ET estimation by many commonly used Landsat-based surface energy balance algorithms by exploiting the fact that ET consumes energy and therefore cools the land surface (Anderson et al., 2011; Kalma et al., 2008; Allen et al., 2007).”
A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data (2009, methodology): “Many papers have found that the ratio of G to Rn ranges from 0.05 for full vegetation cover or wet bare soil to 0.5 for dry bare soil [10,13,44,48-51] and this ratio is simply related in an exponential form to LAI [52], NDVI [11,36,47], Ts [36,53] and solar zenith angle [54] based on field observati”
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. (2017, methodology): “Over the past several years, many satellite-based methods were designed and developed to estimate regional ET, including (1) physically-based algorithms (Allen et al., 2007; Bastiaanssen et al., 1998; Fisher et al., 2008; Kustas and Daughtry, 1990; Mu et al., 2007; Norman et al., 1995; Priestley and”
Aerodynamic Parameterization of the Satellite-Based Energy Balance (METRIC) Model for ET Estimation in Rainfed Olive Orchards of Andalusia, Spain (2012, methodology): “C. Santos : I. J. Lorite (*) IFAPA, Centro “Alameda del Obispo”, Alameda del Obispo s/n, Post office box: 3092, 14080 Córdoba, Spain e-mail: ignacioj.lorite@juntadeandalucia.es R. G. Allen Water Resources Engineering, University of Idaho, 3793 N. 3600 E., Kimberly, ID 83341, USA M. Tasumi Faculty of”
Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations (2014, methodology): “(2) Surface energy balance (SEB) models estimate LE by calculating the evaporation fraction (EF) from satellite data or by driving a residual SEB equation with remotely sensed products and meteorological data [Norman et al., 1995; Kustas and Norman, 1996; Anderson et al., 1997; Bastiaanssen et al., ”
A statistical method based on remote sensing for the estimation of air temperature in China (2015, background): “According to the energy balance theory, the relationship between Tair and auxiliary data is strongly affected by land surface characteristics and varies regionally (Idso et al., 1975; Moran et al., 1994; Allen et al., 2007).”
A Review of Remote Sensing for Environmental Monitoring in China (2020, methodology): “The METRIC model [45] is an evapotranspiration estimation method based on high resolution images and internal calibration.”
Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms (2014, methodology): “The fraction of the ground that receives direct solar radiation visible from nadir was estimated as (Allen & Kjaersgaard, 2009) fsunlit ¼ max 0; 1 fc fshadow (14) Further details of METRIC algorithm are given by Allen, Tasumi, and Trezza (2007), Allen et al. (2012).”
An enhanced two-source evapotranspiration model for land (ETEML): Algorithm and evaluation (2015, methodology): “Albedo was retrieved from the visible and nearinfrared bands (1–5, 7) of the Landsat images following Tasumi et al. (2008) and Allen, Tasumi, Morse, et al. (2007), Allen, Tasumi, and Trezza (2007).”