Alfonso Torres-Rua

Publications | Abstracts

• Meza-Capcha, K., Torres-Rua, A., Gao, R., Hargreaves, O., Osorio, K., Hipps, L.E, Kopp, K., Christiansen, L., Gowing, I., Coopmans, C., (2022). Estimation of leaf area index in urban turfgrass using high resolution multispectral imagery for the two-source energy balance model. American Geophysical Union

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Journal Articles

Academic Journal

• Kang, Y., Gao, F., Anderson, M., Kustas, W., Nieto, H., Knipper, K., Yang, Y., White, W., Alfieri, J., Torres-Rua, A., Alsina, M.M, Karnieli, A., (2022). Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation. Irrigation Science, 40:4-5, 531-551. *
• Safre, A., Torres-Rua, A., (2022). Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption. Irrigation Science
• Pino-Vargas, E., Taya-Acosta, E., Ingol-Blanco, E., Torres-Rua, A., (2022). Deep Machine Learning for Forecasting Daily Potential Evapotranspiration in Arid Regions, Case: Atacama Desert Header. Agriculture (Switzerland), 12:12
• Crump, M., Singleton, P., Torres-Rua, A., Pack, A., (2022). Active transportation routes using canal corridors: Decision tools in creating successful canal trail projects. Journal of Urban Planning and Development, 148:3, 04022030. doi: 10.1061/(ASCE)UP.1943-5444.0000854
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W.P, Nieto, H., Alsina, M.M, White, A., Prueger, J.H, McKee, L., Alfieri, J., Hipps, L.E, Coopmans, C., Sanchez, L., Dokoozlian, N., (2022). Downscaling UAV land surface temperature using a coupled wavelet-machine learning-optimization algorithm and its impact on evapotranspiration. Irrigation Science, 40:4-5, 553-574.
• Gao, R., Torres-Rua, A., Aboutalebi, M., White, W.A, Anderson, M., Kustas, W.P, Agam, N., Alsina, M.M, Alfieri, J., Hipps, L.E, Dokoozlian, N., Nieto, H., Gao, F., McKee, L.G, Prueger, J.H, Sanchez, L., Mcelrone, A.J, Bambach-Ortiz, N., Coopmans, C., Gowing, I., (2022). LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning. Irrigation Science
• Tunca, E., Köksal, E.S, Torres-Rua, A., Kustas, W.P, Nieto, H., (2022). Estimation of bell pepper evapotranspiration using two-source energy balance model based on high-resolution thermal and visible imagery from unmanned aerial vehicles. Journal of Applied Remote Sensing, 16:02
• Kustas, W.P, Nieto, H., Garcia-Tejera, O., Bambach, N., McElrone, A.J, Gao, F., Alfieri, J.G, Hipps, L.E, Prueger, J.H, Torres-Rua, A., Anderson, M.C, Knipper, K., Alsina, M.M, McKee, L.G, Zahn, E., Bou-Zeid, E., Dokoozlian, N., (2022). Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley. Irrigation Science
• Machaca-Pillaca, R., Pino-Vargas, E., Ramos-Fernández, L., Quille-Mamani, J., Torres-Rua, A., (2022). Estimation of evapotranspiration for irrigation purposes in real time of an olive grove from drone images in arid areas, case of La Yarada, Tacna, Peru. Idesia, 40:2, 55-65.
• Nassar, A., Torres-Rua, A., Hipps, L.E, Kustas, W., McKee, M., Stevens, D.K, Nieto, H., Keller, D., Gowing, I., Coopmans, C., (2022). Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem. Remote Sensing, 14:2
• Nassar, A.M, Torres-Rua, A., Merwade, V., Dey, S., Zhao, L., Kim, I.L, Kustas, W.P, Nieto, H., Hipps, L.E, Gao, R., others, , (2021). Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Society of Photo-Optical Instrumentation Engineers - Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI, 11747, 117470K. *
• Gao, R., Torres-Rua, A., Nassar, A., Alfieri, J., Aboutalebi, M., Hipps, L.E, Ortiz, N.B, Mcelrone, A.J, Coopmans, C., Kustas, W., others, , (2021). Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Society of Photo-Optical Instrumentation Engineers - Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI, 11747, 117470N. *
• GOMES, M.D, ROMÁN, R.M, Torres-Rua, A., ÁLVES, É.D, McKee, M., (2021). COMPARAÇÃO DO NDVI OBTIDO POR MEIO DE DRONE E SATÉLITE NAS FASES FENOLÓGICAS DA VIDEIRA. IRRIGA – Brazilian Journal of Irrigation and Drainage, 26:3, 605-619.
• Nassar, A., Torres-Rua, A., Kustas, W., Alfieri, J., Hipps, L.E, Prueger, J., Nieto, H., Alsina, M.M, White, W., McKee, L., Coopmans, C., Sanchez, L., Dokoozlian, N., (2021). Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project. Remote Sensing, 13:15, 2887.
• Parajuli, K., Jones, S.B, Tarboton, D.G, Hipps, L.E, Zhao, L., Sadeghi, M., Rockhold, M.L, Torres-Rua, A., Flerchinger, G.N, (2020). Stone Content Influence on Land Surface Model Simulation of Soil Moisture and Evapotranspiration at Reynolds Creek Watershed. Journal of Hydrometeorology, 21:8, 1889-1904. doi: 10.1175/JHM-D-19-0075.1
• Xue, J., Anderson, M.C, Gao, F., Hain, C., Sun, L., Yang, Y., Knipper, K.R, Kustas, W.P, Torres-Rua, A., Schull, M., (2020). Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances. Remote Sensing of Environment, 251, 112055. doi: 10.1016/j.rse.2020.112055
• Nassar, A., Torres-Rua, A., Kustas, W.P, Nieto, H., McKee, M., Hipps, L.E, Alfieri, J.G, Prueger, J.H, Alsina, M.M, McKee, L.G, Coopmans, C., Sanchez, L., Dokoozlian, N., (2020). Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V, doi: 10.1117/12.2558715 *
• Nassar, A., Torres-Rua, A., Kustas, W.P, Nieto, H., McKee, M., Hipps, L.E, Alfieri, J.G, Prueger, J.H, Mar Alsina, M., McKee, L.G, Coopmans, C., Sanchez, L., Dokoozlian, N., (2020). To what extent does the Eddy Covariance footprint cutoff influence the estimation of surface energy fluxes using two source energy balance model and high-resolution imagery in commercial vineyards?: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V, 11414, doi: 10.1117/12.2558777 *
• Torres-Rua, A., Ticlavilca, A.M, Aboutalebi, M., Nieto, H., Alsina, M.M, White, A., Prueger, J.H, Alfieri, J.G, Hipps, L.E, McKee, L.G, Kustas, W.P, Coopmans, C., Dokoozlian, N., (2020). Estimation of evapotranspiration and energy fluxes using a deep-learning-based high-resolution emissivity model and the two-source energy balance model with sUAS information: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V, 11414, doi: 10.1117/12.2558824 *
• Chavez, J., Torres-Rua, A., Boldt, W.E, Zhang, H., Robertson, C., Marek, G., Wang, D., Heeren, D., Taghvaeian, S., Neale, C.M, (2020). A Decade of Unmanned Aerial Systems in Irrigated Agriculture in the Western US. Applied Engineering in Agriculture ASABE, 36:4, 423-436. doi: 10.13031/aea.13941
• Nassar, A., Torres-Rua, A., Kustas, W., Nieto, H., McKee, M., Hipps, L.E, Stevens, D.K, Alfieri, J., Prueger, J., Alsina, M.M, McKee, L., Coopmans, C., Sanchez, L., Dokoozlian, N., (2020). Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards. Remote Sensing, 12:3, 342. doi: 10.3390/rs12030342
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W.P, Nieto, H., Alsina, M.M, White, W., Prueger, J.H, McKee, L., Alfieri, J., Hipps, L.E, Coopmans, C., Dokoozlian, N., (2019). Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models. Remote Sensing, 12:1, 50. doi: 10.3390/rs12010050
• Aboutalebi, M., Allen, L., Torres-Rua, A., McKee, M., Coopmans, C., (2019). Estimation of soil moisture at different soil levels using machine learning techniques and unmanned aerial vehicle (UAV) multispectral imagery: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. SPIE Autonomus Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 11008, 110080S. *
• Torres-Rua, A., Aboutalebi, M., Wright, T., Nassar, A., Guillevic, P., Gao, F., Hipps, L.E, Jim, K., Alsina, M., Nieto, H., Coopmans, C., McKee, M., Kustas, W., (2019). Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping *
• Aboutalebi, M., Torres-Rua, A., McKee, M., Nieto, H., Kustas, W., Coopmans, C., (2019). The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the contextual two-source energy balance model (TSEB-2T): Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. SPIE, 11008, 1100804. *
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W., Nieto, H., Coopmans, C., (2019). Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. SPIE, 11008, 110080L. *
• Garousi-Nejad, I., Tarboton, D.G, Mahyar, A., Torres-Rua, A., (2019). Terrain Analysis Enhancements to the Height Above Nearest Drainage Flood Inundation Mapping Method. Water Resources Research , 55:10, 7983-8009. doi: 10.1029/2019WR024837
• Tarboton, D.G, Richards, C., McKee, M., Torres-Rua, A., Neilson, B.T, Tullis, B.P, Rosenberg, D.E, Stevens, D.K, Horsburgh, J.S, McLean, J.E, Johnson, M.C, Dupont, R.R, (2019). The Utah Water Research Laboratory: Empowering Water and Environmental Research in Utah and Around the World. Water Resources Impact, American Water Resources Association, 21:5, 13-15. *
• Aboutalebi, M., Torres-Rua, A., Kustas, W., Nieto, H., Coopmans, C., McKee, M., (2019). Assessment of different methods for shadow detection in high- resolution optical imagery and evaluation of shadows impact on calculation of NDVI, and evapotranspiration. Irrigation Science/Springer, doi: 10.1007/s00271-018-0613-9
• Nieto, H., Kustas, W., Torres-Rua, A., Alfieri, J., Gao, F., Anderson, M., White, A., Song, L., Alsina, M., Prueger, J., McKee, M., Elarab, M., (2019). Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrigation Science/Springer, doi: 10.1007/s00271-018-0585-9
• Aboutalebi, M., Torres-Rua, A., Allen, L., (2018). Spatial and Temporal Analysis of Precipitation and Effective Rainfall using Gauge Observations, Satellite, and Gridded Climate Data for Agricultural Water Management in the Upper Colorado River Basin. Remote Sensing/MDPI/ Remote Sensing in Agriculture and Vegetation, 10:12, 22. doi: 10.3390/rs10122058
• Torres-Rua, A., Nieto, H., Parry, C., Elarab, M., Collatz, W., Coopmans, C., McKee, L., McKee, M., Kustas, W., (2018). Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. SPIE, 10664, 106640E. *
• Kustas, W., Anderson, M.C, Alfieri, J.G, Knipper, K., Torres-Rua, A., Parry, C.K, Nieto, H., Agam, N., White, A., Gao, F., McKee, L., Prueger, J.H, Hipps, L.E, Alsina, M., Sanchez, L., Sams, B., Dokoozlian, N., Jones, S.B, McKee, M., McElrone, A., Heitman, J.L, Howard, A., Post, K., Melton, F.S, Hain, C., (2018). The Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Bulletin of the American Meteorological Society, doi: doi.org/10.1175/BAMS-D-16-0244.1
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W., Nieto, H., Coopmans, C., (2018). Behavior of vegetation/soil indices in shaded and sunlit pixels and evaluation of different shadow compensation methods using UAV high-resolution imagery over vineyards: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. SPIE, doi: 10.1117/12.2305883 *
• Nassar, A., Aboutalebi, M., McKee, M., Torres-Rua, A., Kustas, W., (2018). Implications of sensor inconsistencies and remote sensing error in the use of small unmanned aerial systems for generation of information products for agricultural management: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. CONFERENCE: SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III, doi: 10.1117/12.2305826 *
• Aboutalebi, M., Torres-Rua, A., Allen, L., (2018). Multispectral remote sensing for yield estimation using high-resolution imagery from an unmanned aerial vehicle: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III. SPIE/Society of Photo-Optical Instrumentation Engineers (SPIE)/Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III, doi: 10.1117/12.2305888 *
• Torres-Rua, A., (2017). Drones in agriculture: an overview of current capabilities and future directions. Utah Water Users Workshop, Saint George, UT, 1--9. *
• Hassan-Esfahani, L., Ebtehaj, A., Torres-Rua, A., McKee, M., (2017). Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture. Sensors, 17:9, doi: 10.3390/s17092106
• Nieto, H., Bellvert, J., Kustas, W.P, Alfieri, J., Gao, F., Prueger, J., Torres-Rua, A., Hipps, L.E, Elarab, M., Song, L., (2017). Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards: Geoscience and Remote Sensing Symposium Proceedings. IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/IGARSS.2017.8128252 *
• Torres-Rua, A., (2017). Vicarious calibration of sUAS microbolometer temperature imagery for estimation of radiometric land surface temperature. Sensors, 17:7, 1499. doi: 10.3390/s17071499
• Torres-Rua, A., (2017). Use of UAV for support of intensive agricultural management decisions: from science to commercial applications: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II. SPIE, 10218, doi: 10.1117/12.2267725 *
• Hassan-Esfahani, L., Torres-Rua, A., Jensen, A., McKee, M., (2017). Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High-Resolution Visual, NIR, and Thermal Imagery. Irrigation and Drainage, 66:2, 273--288. doi: 10.1002/ird.2098
• Torres-Rua, A., Ticlavilca, A.M, Bachour, R., McKee, M., (2016). Estimation of Surface Soil Moisture in Irrigated Lands by Assimilation of Landsat Vegetation Indices, Surface Energy Balance Products, and Relevance Vector Machines. Water/MDPI/Remote Sensing of Soil Moisture, 8:4, 167. doi: 10.3390/w8040167
• Elarab, M., Ticlavilca, A.M, Torres-Rua, A., Maslova, I., McKee, M., (2015). Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture. International Journal of Applied Earth Observation and Geoinformation, 43, 32--42. doi: 10.1016/j.jag.2015.03.017
• Hassan-Esfahani, L., Torres-Rua, A., Jensen, A., McKee, M., (2015). Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks. Remote Sensing/MDPI, 7:3, doi: 10.3390/rs70302627
• Hassan-Esfahani, L., Torres-Rua, A., McKee, M., (2015). Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data. Agricultural Water Management, 153:1, 42--50. doi: 10.1016/j.agwat.2015.02.005
• Bachour, R., Walker, W., Torres-Rua, A., McKee, M., (2014). Closure to “Assessment of Reference Evapotranspiration by the Hargreaves Method in the Bekaa Valley, Lebanon” by Roula Bachour, Wynn R. Walker, Alfonso F. Torres-Rua, and Mac McKee. Journal of Irrigation and Drainage Engineering, 141:6, 07014054.
• Hassan-Esfahani, L., Torres-Rua, A., Ticlavilca, A.M, Jensen, A., McKee, M., (2014). Topsoil moisture estimation for precision agriculture using unmmaned aerial vehicle multispectral imagery: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International. 2014 IEEE Geoscience and Remote Sensing Symposium, 3263--3266. doi: 10.1109/IGARSS.2014.6947175 *
• Al-Arab, M., Torres-Rua, A., Ticlavilca, A., Jensen, A., McKee, M., (2013). Use of high-resolution multispectral imagery from an unmanned aerial vehicle in precision agriculture: Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International. 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2852--2855. doi: 10.1109/IGARSS.2013.6723419 *
• Bachour, R., Walker, W., Torres-Rua, A., McKee, M., (2013). Assessment of reference evapotranspiration by the Hargreaves method in the Bekaa Valley, Lebanon. Journal of Irrigation and Drainage Engineering, 139:11, 933--938. doi: 10.1061/(ASCE)IR.1943-4774.0000646
• Torres-Rua, A., Ticlavilca, A.M, Walker, W., McKee, M., (2012). Machine learning approaches for error correction of hydraulic simulation models for canal flow schemes. Journal of Irrigation and Drainage Engineering, 138:11, 999--1010. doi: 10.1061/(ASCE)IR.1943-4774.0000489
• Torres-Rua, A., Walker, W., McKee, M., (2010). Forecasting daily potential evapotranspiration using machine learning and limited climatic data. Agricultural water management, 98:4, 553--562. doi: 10.1016/j.agwat.2010.10.012
• Torres-Rua, A., Merkley, G.P, (2008). Cutthroat measurement flume calibration for free and submerged flow using a single equation. Journal of irrigation and drainage engineering, 134:4, 521--526. doi: 10.1061/(ASCE)0733-9437(2008)134:4(521)
• Weber, R., Merkley, G.P, Skogerboe, G., Torres-Rua, A., (2006). Improved calibration of Cutthroat flumes. Irrigation science, 25:4, 361--373. doi: 10.1007/s00271-006-0052-x

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | MultiMedia

Software

• Meza, K., Bateni, S., Torres-Rua, A., (2022). Remote Sensing Applications in Irrigation. HydroLearn
• Gao, R., Torres-Rua, A., Aboutalebi, M., Nassar, A., (2021). Feature extraction approaches for leaf area index estimation in California vineyards via machine learning algorithms. Hydroshare *
• Gao, R., Torres-Rua, A., (2021). Footprint area generating based on eddy covariance records. Hydroshare *
• Gao, R., Torres-Rua, A., Nassar, A., (2021). TSEB modeling and the comparison between the model results and the eddy-covariance monitored data within the footprint area. Hydroshare *
• Torres-Rua, A., Aboutalebi, M., (2020). prj_earthengine_hydroshare. GitHub
• Aboutalebi, M., Torres-Rua, A., McKee, M., Kustas, W., Nieto, H., Hipps, L.E, Coopmans, C., (2019). Vegetation Spectral-Structural Information eXtraction Algorithm (VSSIXA). GitHub

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Technical Reports

Research Reports

• Torres-Rua, A., (2021). Utah Agricultural Water Optimization Water Use and Irrigation Methods. Utah Division of Water Resources
• Crump, M., Singleton, P., Torres-Rua, A., Pack, A., (2022). Active transportation facilities in canal corridors. Utah Department of Transportation *
• Cabot, P., Derwinson, A., Torres-Rua, A., (2021). Evaluating Conserved Consumptive Use in the Upper Colorado 2020 Report. Colorado Water Conservation Board *
• DenBleyker, J., Allen, L., Hipps, L.E, Torres-Rua, A., (2020). Depletion Accounting for Irrigation Water Rights in Utah. Utah Division of Water Resources *
• Allen, L., Torres-Rua, A., (2018). Verification of Water Conservation from Deficit Irrigation Pilot Projects in the Upper Colorado River Basin. *

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

Other

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.