A New Approach for Estimating and Delineating Within-Field Crop Water Stress Zones with Satellite Imagery

Abstract

As water scarcity and demand for food both grow, viable solutions to efficiently irrigate crops are needed. The recent advent of variable rate irrigation systems provides technology for growers to water their fields accounting for the spatially heterogeneous demand of their crops for water. Some zones within a field may require less or more water based on varying solar radiation, soil type, or surface or subsurface water flow paths. Since these processes are heterogeneous and complex, they are challenging to model or measure with the spatial resolution necessary to implement successful variable rate irrigation. In this paper, we present a new approach that uses high-resolution (20 to 100 m) satellite imagery obtained from Sentinel-2 and Landsat 8 to estimate zones of crop water stress. Our approach integrates two independent measures of crop water availability–Normalized Difference Water Index, and Evapotranspiration modelled using remotely sensed land surface temperature–with k-means clustering to delineate zones in an automated fashion. Our study area in southern Idaho has been set up experimentally to grow crops that are water-stressed and not water-stressed, thus providing a rigorous design to test and validate our method. The results of our method agree well with our independent suite of crop water stress measures, such as yield, variable irrigation rates, and matric potential. This method can be used to develop data-driven zones for variable rate irrigation, which has the potential to improve the efficiency of water use without sacrificing yield.

Department(s)

Geosciences and Geological and Petroleum Engineering

Comments

This work was supported by the United States–Israel Binational Agricultural Research and Development Fund [IS-5218-19]; Western SARE [SW19-909].

International Standard Serial Number (ISSN)

0143-1161; 1366-5901

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2021 The Authors, All rights reserved.

Publication Date

01 Jan 2021

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