Alfonso F. Torres-Rua

Orcid: 0000-0002-2238-9550

According to our database1, Alfonso F. Torres-Rua authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Water Stress Index and Stomatal Conductance under Different Irrigation Regimes with Thermal Sensors in Rice Fields on the Northern Coast of Peru.
Remote. Sens., March, 2024

2023
ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards.
Remote. Sens., February, 2023

2022
Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem.
Remote. Sens., 2022

2021
Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project.
Remote. Sens., 2021

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. Sens., 2020

Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models.
Remote. Sens., 2020

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. Sens., 2018

2017
Vicarious Calibration of sUAS Microbolometer Temperature Imagery for Estimation of Radiometric Land Surface Temperature.
Sensors, 2017

Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture.
Sensors, 2017

Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks.
Remote. Sens., 2015

Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Topsoil moisture estimation for precision agriculture using unmmaned aerial vehicle multispectral imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Use of high-resolution multispectral imagery from an unmanned aerial vehicle in precision agriculture.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


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