Results 1 to 10 of about 300 (129)

Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods

International Journal of Digital Earth, 2021
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 ...
Nazila Shamloo, Mohammad Taghi Sattari, Halit Apaydin, Khalil Valizadeh Kamran, Ramendra Prasad   +4 more
doaj   +2 more sources

Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation. [PDF]

Glob Chang Biol
This paper discusses the evolution and revolution of Earth observation for evapotranspiration (ET), as we advanced from the first Landsat satellite and development of ET models through the progression of increasingly higher resolution across international space agencies and commercial industry with increasing ET model sophistication, cloud computing ...
Fisher JB, Anderson MC, Miralles DG, Mallick K, Stoy PC, Ryu Y, Bastiaanssen WGM.   +6 more
europepmc   +2 more sources

OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues. [PDF]

Adv Sci (Weinh)
OptiMo‐LDLr is an advanced computational model that improves predictions of LDL receptor (LDLr) variant pathogenicity. It outperforms other methods, accurately distinguishing between pathogenic and benign LDLr variants, and identifies critical residues in all domains except the signal peptide and O‐linked domain. OptiMo‐LDLr also visualizes 3D hot spot
Larrea-Sebal A, Sasiain I, Jebari-Benslaiman S, Galicia-Garcia U, Uribe KB, Benito-Vicente A, Gracia-Rubio I, Bediaga-Bañeres H, Arrasate S, Cenarro A, Civeira F, González-Díaz H, Martín C.   +12 more
europepmc   +2 more sources

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part I: Development and Validation

Remote Sensing, 2015
The Surface Energy Balance Algorithm for Land (SEBAL) is one of the remote sensing (RS) models that are increasingly being used to determine evapotranspiration (ET).
Mcebisi Mkhwanazi, José L. Chávez, Allan A. Andales   +2 more
doaj   +3 more sources

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability

Remote Sensing, 2015
Because the Surface Energy Balance Algorithm for Land (SEBAL) tends to underestimate ET when there is advection, the model was modified by incorporating an advection component as part of the energy usable for crop evapotranspiration (ET).
Mcebisi Mkhwanazi, José L. Chávez, Allan A. Andales, Kendall DeJonge   +3 more
doaj   +3 more sources

Mapping Maize Evapotranspiration at Field Scale Using SEBAL: A Comparison with the FAO Method and Soil-Plant Model Simulations

Remote Sensing, 2018
The surface energy balance algorithm for land (SEBAL) has been successfully applied to estimate evapotranspiration (ET) and yield at different spatial scales.
Carla Grosso, Gabriele Manoli, Marco Martello, Yann H. Chemin, Diego H. Pons, Pietro Teatini, Ilaria Piccoli, Francesco Morari   +7 more
doaj   +3 more sources

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

Remote 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, Wen Wang, Dui Huang, Bin Yong, Xi Chen   +4 more
doaj   +3 more sources

Integrating SEBAL with in-Field Crop Water Status Measurement for Precision Irrigation Applications—A Case Study

Remote Sensing, 2019
The surface energy balance algorithm for land (SEBAL) has been demonstrated to provide accurate estimates of crop evapotranspiration (ET) and yield at different spatial scales even under highly heterogeneous conditions.
Stefano Gobbo, Stefano Lo Presti, Marco Martello, Lorenza Panunzi, Antonio Berti, Francesco Morari   +5 more
doaj   +3 more sources

Estimation of Actual Evapotranspiration Using the Remote Sensing Method and SEBAL Algorithm: A Case Study in Ein Khosh Plain, Iran

Hydrology, 2020
The aim of this study was to estimate evapotranspiration (ET) using remote sensing and the Surface Energy Balance Algorithm for Land (SEBAL) in the Ilam province, Iran.
Amir Ghaderi, Mehdi Dasineh, Maryam Shokri, John Abraham   +3 more
doaj   +3 more sources

Comparison of spatial and temporal variation of maize evapotranspiration in Mahidasht using Landsat 8 satellite images and available resources [PDF]

رویکردهای نوین در مهندسی آب و محیط زیست, 2022
The crop evapotranspiration (ET) has spatial and temporal variations within the region due to changes in meteorological parameters, phenological stage, and farm management conditions.
Nasim Kamali, Bahman Farhadi Bansouleh
doaj   +1 more source