Results 191 to 200 of about 6,112 (221)

Sebal Based Evapotranspiration Estimation for Upper Tapi Basin (India)

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Evapotranspiration is one of the important component in hydrological cycle and plays a major role in water balance studies of tropical and subtropical areas. Estimation of actual evapotranspiration using remote sensing is a step towards the real time spatial mapping of evapotranspiration.
Lalit Pal, Amit Kumar, C.S.P. Ojha, Surendra Kumar Chandniha   +3 more
openaire   +1 more source

Energy balance from images in humid climate – SEBAL and METRIC

Agrometeoros, 2018
Evapotranspiration is an important phenomenon to agriculture; therefore, this work aims at verifying the suitability of the SEBAL and METRIC models to estimate latent heat flux using remote sensing data from grain cultivation areas in the northwestern subtropical region of Rio Grande do Sul. This region stands out for grain production.
Juliano Schirmbeck, Denise Cybis Fontana, Débora Regina Roberti, Lucimara Wolfarth Schirmbeck   +3 more
openaire   +1 more source

Evapotranspiration Estimation Using Remote Sensing Technology Based on SEBAL Algorithm

Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2016
The aim of this study is to obtain the actual evapotranspiration (ETa) values using Surface Energy Balance Algorithm for Land (SEBAL) algorithm, during the year 2008 in Nekooabad agricultural and drainage network and Ben-Saman region located in Gavkhouni basin in Iran.
Mehrdad Abrishamkar, Azadeh Ahmadi
openaire   +1 more source

Improvement of hydrologic model soil moisture predictions using SEBAL evapotranspiration estimates

SPIE Proceedings, 2009
Soil moisture conditions influence practically all aspects of Army activities and are increasingly affecting its systems and operations. Regional distributions of high resolution soil moisture data will provide critical information on operational mobility, penetration, and performance of landmine and UXO sensors.
Jan M. H. Hendrickx, Nawa R. Pradhan, Sung-ho Hong, Fred L. Ogden, Aaron R. Byrd, David Toll   +5 more
openaire   +1 more source

Spatial variability of SEBAL estimated root-zone soil moisture across scales

International Journal of Remote Sensing, 2016
This study investigated the spatial scaling behaviour of root-zone soil moisture obtained from optical/thermal remote-sensing observations. The data for this study were obtained from Landsat and Moderate Resolution Imaging Spectroradiometer MODIS satellites on five different dates between early spring April and fall September in the years from 2000 to ...
Sung-ho Hong, Kathryn Lenth, Robert Aumer, Brian Borchers, Jan M.H. Hendrickx   +4 more
openaire   +1 more source

Evapotranspiration on the Watershed Scale Using the SEBAL Model and Landsat Images

2001 Sacramento, CA July 29-August 1,2001, 2001
SEBAL (Surface Energy Balance Algorithm for Land) is an image-processing model comprised of twenty-five submodels that calculates evapotranspiration (ET) and other energy exchanges at the earth’s surface. SEBAL uses image data from Landsat or other satellites measuring thermal infrared radiation, visible and near-infrared. SEBAL was developed in the
null Richard G. Allen, null Wim Bastiaanssen, null Masahiro Tasumi, null Anthony Morse   +3 more
openaire   +1 more source

Sensitivity Analysis of the Surface Energy Balance Algorithm for Land (SEBAL)

Transactions of the ASABE, 2009
New versions of evapotranspiration (ET) algorithms based on the Surface Energy Balance Algorithm for Land (SEBAL) are being published, each containing slightly different equations to calculate the energy balance. It is difficult to determine what impact changing one or more of the equations or coefficients in the series of equations of SEBAL has on the
null J. Wang, null T. W. Sammis, null V. P. Gutschick, null M. Gebremichael, null D. R. Miller   +4 more
openaire   +1 more source

Developing surrogate pixels for comparing SEBAL ET with lysimeter ET measurements

IEEE International Geoscience and Remote Sensing Symposium, 2003
SEBAL (Surface Energy Balance Algorithm for Land) is an image-processing model comprised of twenty-five submodels for calculating evapotranspiration (ET) as a residual of the surface energy balance. SEBAL was developed in the Netherlands by Bastiaanssen and has been applied in many developing countries.
W.J. Kramber, A. Morse, R.G. Allen, M. Tasumi, R. Trezza, J.L. Wright   +5 more
openaire   +1 more source

Adaptation of SEBAL for estimating groundnuts evapotranspiration, in Cyprus

2016
The imperative need for data on irrigation management in Cyprushas led to a turnoff regarding the method of collecting and analyzing irrigation management primary data. The time and money consuming direct measurements of evapotranspiration (ETc), such as Pan-evaporation methods, lysimeters and others, are substituted from efficient energy and ...
Papadavid, George, Hadjimitsis, Diofantos G.   +1 more
openaire   +1 more source

Assessment of SEBAL model for estimating evapotranspiration in the Devils Lake basin

2006 Portland, Oregon, July 9-12, 2006, 2006
Above-average rainfall in the last twelve years has led to rising water levels in the Devils Lake basin in northeastern North Dakota. An irrigation test project has been started at ten farmercooperator field sites within the basin to estimate how much additional water can be utilized via irrigation of agricultural crops.
null Ramesh Gautam, null Dean Steele, null David Hopkins, null Mike Sharp   +3 more
openaire   +1 more source