José L. Chávez - researchr alias

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Viewing Publication 1 - 8 from 8

2024

A Novel Remote Sensing-Based Modeling Approach for Maize Light Extinction Coefficient DeterminationEdson Costa-Filho, José L. Chávez, HuiHui Zhang. remotesensing, 16(6):1012, March 2024. [doi]

2021

Evaluating the sensitivity of water stressed maize chlorophyll and structure based on UAV derived vegetation indicesLiyuan Zhang, Wenting Han, Yaxiao Niu, José L. Chávez, Guomin Shao, HuiHui Zhang. cea, 185:106174, 2021. [doi]

2015

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for TransferabilityMcebisi Mkhwanazi, José L. Chávez, Allan A. Andales, Kendall C. DeJonge. remotesensing, 7(11):15068-15081, 2015. [doi]

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part I: Development and ValidationMcebisi Mkhwanazi, José L. Chávez, Allan A. Andales. remotesensing, 7(11):15046-15067, 2015. [doi]

2014

Assessing Inter-Sensor Variability and Sensible Heat Flux Derivation Accuracy for a Large Aperture ScintillometerEvan H. Rambikur, José L. Chávez. sensors, 14(2):2150-2170, 2014. [doi]

2013

Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation TreatmentsSaleh Taghvaeian, José L. Chávez, Mary J. Hattendorf, Mark A. Crookston. remotesensing, 5(5):2327-2347, 2013. [doi]

2012

Infrared Thermometry to Estimate Crop Water Stress Index and Water Use of Irrigated Maize in Northeastern ColoradoSaleh Taghvaeian, José L. Chávez, Neil C. Hansen. remotesensing, 4(11):3619-3637, 2012. [doi]

2011

Soil Heat Flux Modeling Using Artificial Neural Networks and Multispectral Airborne Remote Sensing ImageryDario J. Canelón, José L. Chávez. remotesensing, 3(8):1627-1643, 2011. [doi]

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