Results 1 to 10 of about 6,112 (221)
Mapping evapotranspiration variability over a complex oasis-desert ecosystem based on automated calibration of Landsat 7 ETM+ data in SEBAL [PDF]
GIScience and Remote Sensing, 2019 Fragmented ecosystems of the desiccated Aral Sea seek answers to the profound local hydrologically- and water-related problems. Particularly, in the Small Aral Sea Basin (SASB), these problems are associated with low precipitation, increased temperature,
Ge-ping Luo +2 more
exaly +4 more sources
Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods [PDF]
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 +2 more
exaly +3 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 +12 more
europepmc +2 more sources
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 +2 more
exaly +3 more sources
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
xiaogang wang, Wen Wang, Bin Yong
exaly +3 more sources
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.
Gabriele Manoli +2 more
exaly +3 more sources
Lysimetric evaluation of SEBAL using high resolution airborne imagery from BEAREX08
Advances in Water Resources, 2013 In this study, Surface Energy Balance Algorithm for Land (SEBAL) was evaluated for its ability to derive aerodynamic components and surface energy fluxes from very high resolution airborne remote sensing data acquired during the Bushland Evapotranspiration and Agricultural Remote Sensing Experiment 2008 (BEAREX08) in Texas, USA.
George Paul +2 more
exaly +3 more sources
Estimation of Actual Evapotranspiration with Mountain SEBAL Method in Meshginshahr Region [PDF]
نشریه جغرافیا و برنامهریزی, 2015 evapotranspiration have the essential role in water balance, accurate estimates on many projects and scientific studies in the fields of hydrology, agriculture, industry, water engineering and other allied sciences, for efficient management of water ...
Kalil Valizadekamran
doaj +1 more source
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.
Francesco Morari +2 more
exaly +3 more sources
Satellite-based ET estimation using Landsat 8 images and SEBAL model
Revista Ciência Agronômica, 2018 Estimation of evapotranspiration is a key factor to achieve sustainable water management in irrigated agriculture because it represents water use of crops. Satellite-based estimations provide advantages compared to direct methods as lysimeters especially
Bruno Bonemberger da Silva +4 more
doaj +3 more sources