Alfonso F. Torres-Rua

发表

Fusion of satellite and UAV imagery and big data for smarter farming

Mac McKee, Calvin Coopmans, Manal Elarab, 2018 .

Challenges That Beyond-Visual-Line-Of-Sight Technology Will Create for UAS-Based Remote Sensing in Agriculture (Conference Presentation)

Ayman Nassar, Mac McKee, Calvin Coopmans, 2019 .

Estimation of soil moisture at different soil levels using machine learning techniques and unmanned aerial vehicle (UAV) multispectral imagery

Mac McKee, Calvin Coopmans, Mahyar Aboutalebi, 2019, Defense + Commercial Sensing.

Welcome and Introduction to SPIE Conference 11747

Alfonso F. Torres-Rua, J. Alex Thomasson, 2021 .

Challenges and opportunities of unmanned aerial vehicles in agriculture in the next decade

Alfonso F. Torres-Rua, 2021 .

Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project

Hector Nieto, Lynn McKee, Calvin Coopmans, 2021, Remote. Sens..

Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances

Martha C. Anderson, Alfonso F. Torres-Rua, Yun Yang, 2020, Remote sensing of environment.

Evaluation of different shadow detection and restoration methods and their impact on vegetation indices using UAV high-resolution imageries over vineyards

Mac McKee, William P. Kustas, Mahyar Aboutalebi, 2017 .

Estimation of Surface Soil Moisture in Irrigated Lands by Assimilation of Landsat Vegetation Indices, Surface Energy Balance Products, and Relevance Vector Machines

Mac McKee, Alfonso F. Torres-Rua, A. M. Ticlavilca, 2016 .

Assessment of Landsat Harmonized sUAS Reflectance Products Using Point Spread Function (PSF) on Vegetation Indices (VIs) and Evapotranspiration (ET) Using the Two-Source Energy Balance (TSEB) Model

Mac McKee, Calvin Coopmans, William P. Kustas, 2018 .

Estimation of bell pepper evapotranspiration using two-source energy balance model based on high-resolution thermal and visible imagery from unmanned aerial vehicles

Alfonso F. Torres-Rua, W. Kustas, H. Nieto, 2022, Journal of Applied Remote Sensing.

Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration

Mac McKee, Calvin Coopmans, Mahyar Aboutalebi, 2018, Irrigation Science.

Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards

Feng Gao, Joaquim Bellvert, Hector Nieto, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Downscaling UAV land surface temperature using a coupled wavelet-machine learning-optimization algorithm and its impact on evapotranspiration

Alfonso F. Torres-Rua, M. McKee, W. Kustas, 2022, Irrigation Science.

Deriving daily evapotranspiration from multiple unmanned aerial vehicle (UAV) thermal imageries and high-frequency ground thermal measurements (Conference Presentation)

Alfonso F. Torres-Rua, M. McKee, W. Kustas, 2020 .

Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation

Martha C. Anderson, Alfonso F. Torres-Rua, A. Karnieli, 2022, Irrigation Science.

Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption

Martha C. Anderson, Alfonso F. Torres-Rua, F. Gao, 2022, Irrigation Science.

Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information

Martha C. Anderson, Alfonso F. Torres-Rua, F. Gao, 2022, Defense + Commercial Sensing.

Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration

Alfonso F. Torres-Rua, M. McKee, W. Kustas, 2018, Irrigation Science.

Stone Content Influence on Land Surface Model Simulation of Soil Moisture and Evapotranspiration at Reynolds Creek Watershed

Alfonso F. Torres-Rua, S. Jones, D. Tarboton, 2020 .

LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning

Martha C. Anderson, Alfonso F. Torres-Rua, F. Gao, 2022, Irrigation Science.

Use of UAV for support of intensive agricultural management decisions: from science to commercial applications

Alfonso F. Torres-Rua, Alfonso F. Torres-Rua, 2017, Commercial + Scientific Sensing and Imaging.

Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery

Lisheng Song, Mac McKee, William P. Kustas, 2018, Irrigation Science.

THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.

Feng Gao, Mac McKee, Hector Nieto, 2018, Bulletin of the American Meteorological Society.

Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture

Mac McKee, Alfonso Torres-Rua, Manal Elarab, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley

Martha C. Anderson, Alfonso F. Torres-Rua, F. Gao, 2022, Irrigation Science.

Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks

Austin M. Jensen, Mac McKee, Alfonso Torres-Rua, 2015, Remote. Sens..

ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards

Martha C. Anderson, Alfonso F. Torres-Rua, F. Gao, 2023, Remote. Sens..

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

Alfonso Torres-Rua, William Kustas, Hector Nieto, 2020, Defense + Commercial Sensing.

Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data

Mac McKee, Feng Gao, Calvin Coopmans, 2019, Defense + Commercial Sensing.

Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers

Mac McKee, William Kustas, Lynn McKee, 2018, Commercial + Scientific Sensing and Imaging.

Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards

Ayman Nassar, Alfonso Torres-Rua, William Kustas, 2020, Defense + Commercial Sensing.

Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards

Ayman Nassar, Alfonso Torres-Rua, William Kustas, 2020, Remote. Sens..

Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian‐Based Artificial Neural Networks and High‐ Resolution Visual, NIR, and Thermal Imagery

Austin Jensen, Mac McKee, Alfonso F. Torres-Rua, 2017 .

Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem

Alfonso F. Torres-Rua, M. McKee, W. Kustas, 2022, Remote. Sens..

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

Alfonso Torres-Rua, Niel Allen, Mahyar Aboutalebi, 2018, Remote. Sens..

Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information

Venkatesh Merwade, Hector Nieto, Joseph Alfieri, 2021, Defense + Commercial Sensing.

Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models

Hector Nieto, Mac McKee, Calvin Coopmans, 2019, Remote. Sens..

Deep Machine Learning for Forecasting Daily Potential Evapotranspiration in Arid Regions, Case: Atacama Desert Header

Alfonso F. Torres-Rua, Eusebio Ingol-Blanco, Edwin Pino-Vargas, 2022, Agriculture.

Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows

William Kustas, Mac McKee, Calvin Coopmans, 2019, Defense + Commercial Sensing.

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)

Mac McKee, Calvin Coopmans, William P. Kustas, 2019, Defense + Commercial Sensing.

Terrain Analysis Enhancements to the Height Above Nearest Drainage Flood Inundation Mapping Method

David G. Tarboton, Mahyar Aboutalebi, Alfonso F. Torres-Rua, 2019, Water Resources Research.

Machine learning approaches for error correction of hydraulic simulation models for canal flow schemes

Mac McKee, Wynn R. Walker, Alfonso F. Torres-Rua, 2012 .

Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery

Martha C. Anderson, Alfonso F. Torres-Rua, M. McKee, 2018, Irrigation Science.

Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information

William Kustas, Hector Nieto, Joseph Alfieri, 2021, Defense + Commercial Sensing.

A Decade of Unmanned Aerial Systems in Irrigated Agriculture in the Western U.S.

Gary W. Marek, Derek M. Heeren, Saleh Taghvaeian, 2020, Applied Engineering in Agriculture.

Multispectral remote sensing for yield estimation using high-resolution imagery from an unmanned aerial vehicle

Niel Allen, Mahyar Aboutalebi, Alfonso F. Torres-Rua, 2018, Commercial + Scientific Sensing and Imaging.

Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data

Mac McKee, Alfonso F. Torres-Rua, Alfonso F. Torres-Rua, 2015 .

Vicarious Calibration of sUAS Microbolometer Temperature Imagery for Estimation of Radiometric Land Surface Temperature

Alfonso F. Torres-Rua, Alfonso Torres-Rua, Alfonso F. Torres-Rua, 2017, Sensors.

Topsoil moisture estimation for precision agriculture using unmmaned aerial vehicle multispectral imagery

Austin M. Jensen, Mac McKee, Alfonso Torres-Rua, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Use of high-resolution multispectral imagery from an unmanned aerial vehicle in precision agriculture

Austin M. Jensen, Mac McKee, Alfonso Torres-Rua, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT

Martha C. Anderson, Alfonso F. Torres-Rua, S. Jones, 2020 .

The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX): A science-based path for sustainable water management and climate resilience

Alfonso F. Torres-Rua, W. Kustas, J. Alfieri, 2023, Bulletin of the American Meteorological Society.

Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows

Alfonso F. Torres-Rua, M. McKee, W. Kustas, 2019, Defense + Commercial Sensing.

Assessment of Reference Evapotranspiration by the Hargreaves Method in the Bekaa Valley, Lebanon

Mac McKee, Wynn R. Walker, Alfonso F. Torres-Rua, 2013 .

THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.

Martha C. Anderson, Alfonso F. Torres-Rua, Yun Yang, 2018, Bulletin of the American Meteorological Society.

Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model

Alfonso F. Torres-Rua, W. Kustas, H. Nieto, 2023, Irrigation Science.