Results 31 to 40 of about 458 (188)

Calibration of SEBAL Surface Energy Balance Algorithm in Determining Evapotranspiration of Plains Affected by Flood Spreading (Qaracherian-Zanjan Province) [PDF]

open access: yesمحیط زیست و مهندسی آب, 2023
Evapotranspiration is one of the most important elements of the hydrological cycle. Estimation of evapotranspiration is imperative for effective forest, irrigation, rangeland and water resources management as well as to increase yields and for better ...
Ghobad Rostamizad   +3 more
doaj   +1 more source

Spatiotemporal assessment of actual evapotranspiration using satellite remote sensing technique in the Nile Delta, Egypt

open access: yesAlexandria Engineering Journal, 2021
Egypt's Nile delta area is a wealthy land for growing Egypt's principal crops such as rice. Being at the end of the Nile River the water shortage problem is very serious.
Hossam El-Din Fawzy   +3 more
doaj   +1 more source

Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation [PDF]

open access: yesEarth System Science Data, 2021
Satellite observations of evapotranspiration (ET) have been widely used for water resources management in China. An accurate ET product with a high spatiotemporal resolution is required for research on drought stress and water resources management ...
M. Cheng   +8 more
doaj   +1 more source

Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan) [PDF]

open access: yesمدیریت بیابان, 2015
One of the key components of energy and hydrological processes is soil moisture, which is measured indirectly, because of exiting some problems in measuring directly.
Raheleh Sasadeghzade Poode   +3 more
doaj   +1 more source

A comparison of actual evapotranspiration estimates based on Remote Sensing approaches with a classical climate data driven method

open access: yesActa Universitatis Carolinae Geographica, 2020
The knowledge of actual evapotranspiration at farm level is a prerequisite for irrigation planning, farm management, to increase production and reduce water consumption. To accomplish this, comprehensive and accurate assessment methods should be applied.
Soghra Tofigh   +2 more
doaj   +1 more source

Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin

open access: yesAtmosphere, 2021
Understanding the spatial and temporal variations of evapotranspiration (ET) is vital for water resources planning and management and drought monitoring.
Linshan Tan   +3 more
doaj   +1 more source

Spatial variability of coffee plant water consumption based on the SEBAL algorithm [PDF]

open access: yesScientia Agricola, 2019
ABSTRACT: Awareness of evapotranspiration (ET) and crop coefficient (Kc) is necessary for irrigation management in coffee crops. ET and Kc spatial variabilities are disregarded in traditional methods. Methods based on radiometric measurements have potential to obtain these spatialized variables.
Jéfferson de Oliveira Costa   +5 more
openaire   +4 more sources

Estimation of spatial surface energy fluxes and actual evapotranspiration over Ghataprabha river basin using remote sensing data [PDF]

open access: yesE3S Web of Conferences, 2023
Accurately measuring Actual Evapotranspiration (AET) in spatial scale is a crucial yet challenging task within the hydrological cycle, playing a pivotal role in determining the water requirements of diverse crops.
Bangi Shashank C., Soraganvi Veena S.
doaj   +1 more source

Modifying SEBAL Model Based on the Trapezoidal Relationship between Land Surface Temperature and Vegetation Index for Actual Evapotranspiration Estimation

open access: yesRemote Sensing, 2014
The Surface Energy Balance Algorithm for Land (SEBAL) is widely used to estimate actual evapotranspiration (ETa). One major limitation of the SEBAL model is the subjectiveness in selecting extreme cold/hot pixels. In the present study, the SEBAL model is
Xiao-Gang Wang   +4 more
doaj   +1 more source

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