Sensitivity-informed parameter selection for improved soil moisture estimation from remote sensing data

IF 4.6 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-09-27 DOI:10.1016/j.conengprac.2025.106593

Bernard T. Agyeman , Erfan Orouskhani , Mohamed Naouri , Willemijn M. Appels , Maik Wolleben , Jinfeng Liu , Sirish L. Shah

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引用次数: 0

Abstract

Accurate soil moisture estimation is essential for advancing closed-loop irrigation. Central to this task are soil hydraulic parameters, which are rarely known precisely and must be inferred from moisture measurements. Inferring these parameters for large-scale agricultural fields presents practical difficulties due to the sparse and noisy nature of moisture measurements. To address this challenge, a framework is developed that combines sensitivity analysis and orthogonal projection to identify parameters that are most reliably estimable from the measurements. The selected parameters, together with soil moisture states, are estimated by assimilating remotely sensed soil moisture observations into the Richards equation using an extended Kalman filter. Numerical simulations and field experiments conducted on a large-scale site in Lethbridge, Alberta, Canada, demonstrate improvements of 24%–43% in soil moisture estimation accuracy and a 50% enhancement in predictive performance. Furthermore, the estimated parameters, particularly saturated hydraulic conductivity, show good agreement with experimental measurements.

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基于灵敏度的遥感土壤水分估算参数选择

准确的土壤水分估算是推进闭环灌溉的必要条件。这项任务的核心是土壤水力参数，这些参数很少被精确地知道，必须从水分测量中推断出来。由于湿度测量的稀疏和噪声性质，推断大规模农田的这些参数存在实际困难。为了应对这一挑战，开发了一个框架，该框架结合了灵敏度分析和正交投影，以确定从测量中最可靠地估计的参数。利用扩展卡尔曼滤波将遥感土壤湿度观测同化到理查兹方程中，对所选参数和土壤湿度状态进行估计。在加拿大阿尔伯塔省Lethbridge的大型场地进行的数值模拟和现场试验表明，土壤湿度估算精度提高了24%-43%，预测性能提高了50%。此外，估计的参数，特别是饱和水力导率，与实验测量结果吻合良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.