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ARS Home » Pacific West Area » Maricopa, Arizona » U.S. Arid Land Agricultural Research Center » Plant Physiology and Genetics Research » Research » Research Project #448432

Research Project: Remote Sensing Methods to Improve the Estimation of Canopy Temperature in Cotton

Location: Plant Physiology and Genetics Research

Project Number: 2020-21600-001-014-S
Project Type: Non-Assistance Cooperative Agreement

Start Date: Jul 15, 2025
End Date: Jun 14, 2027

Objective:
The overall goal of the project is to develop and refine remote sensing methods to improve the estimation of canopy temperature in cotton.

Approach:
The Cooperator and ARS PI will collaborate on research activities to develop and improve remote sensing methods for mapping fractional canopy temperature in cotton. Thermal data from various satellites will be used to estimate canopy temperature. To fill data gaps caused by cloud cover, the SatFlow conditional flow matching method will be applied. Additionally, different approaches—such as the two-source energy balance model, to partition land surface temperature into soil and canopy components, will be evaluated. The best-performing method will be implemented across the state of Arizona to estimate cotton canopy temperature during the growing seasons from 2015 to 2025. These estimates will then be compared against observational data to quantify uncertainty.