Results 221 to 230 of about 7,296 (248)

Spatial-Scale Sensitivity in SEBAL Evapotranspiration Estimation for Crop Health Monitoring with Sentinel-2A

2025 International Conference on Emerging Smart Computing and Informatics (ESCI)
The objective of this study is to apply Sentinel-2 satellite data for the monitoring of evapotranspiration of various crop cycles in Sillod, Maharashtra, India, including cotton, sugarcane, wheat, and maize.
Pradnya Awate, Ajay D. Nagne
semanticscholar   +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

Generating a monthly variability of sea surface salinity based on source tracing of salt concentration and the estimated SEBAL-evaporation

IOP Conference Series: Earth and Environment
The variation and spatial distribution of sea surface salinity (SSS) depend on the geographic condition of the water surfaces and the temporal variation of atmospheric conditions.
M. F. Ghazali, A. Saepuloh, K. Wikantika
semanticscholar   +1 more source

A COMPARATIVE STUDY OF THE SEBAL ALGORITHM AND SWAP MODEL FOR EVAPOTRANSPIRATION RATE ESTIMATION IN QAZVIN PROVINCE, IRAN

Environmental Engineering and Management Journal
Given the significance of remote sensing for evapotranspiration (ET) estimation on a regional scale, this research seeks to assess actual ET (ETa) data derived from the Surface Energy Balance Algorithm for Land (SEBAL) algorithm, employing ground-based ...
A. Ashrafzadeh, Mahsa Hojabri, Majid Vazifedoust   +2 more
semanticscholar   +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

The ET estimation from ASTER image based on SEBAL and TSEB methods

SPIE Proceedings, 2005
The evapotranspiration (ET) estimates derived in two ways from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). One of the two models is Surface Energy Balance Algorithm for Land (SEBAL), which calculates the surface energy flux with Minimal collateral datum, while the other is Two Sources Energy Balance (TSEB), which ...
Yajuan Wang, Danfeng Sun
openaire   +1 more source