Stomata is an important channel for the exchange of water and gas between crops and the external environment. Stomatal behavior can shed light on how environmental stressors affect crop growth. Traditional stomata investigation methods involve experimental laboratory measurements of specific plants using stoma-related instruments or a field plot. However, developing a new remote sensing canopy resistance model for analyzing the stomatal behavior of crops under typical environmental stress is essential for regional agricultural management. Canopy resistance is a vital microscale–macroscale (from kilometers to micrometers) bridge that represents the stomatal behavior of the entire crop. In this study, a remote sensing canopy resistance model was proposed based on the Penman-Monteith model and a remote sensing evapotranspiration model. The model was verified by field-observed winter wheat data at the Yucheng Comprehensive Experiment Station (YCES) with dry-hot wind (DHW) and brackish water irrigation treatments from 2017 to 2019. The model measured canopy resistance (regression coefficient = 1.25; R² = 0.98) well. Finally, remote sensing-based canopy resistance measurements were used to investigate the effects of soil salinity and dry-hot wind on the winter wheat. The results showed excellent model performance for retrieving crop stomatal behavior under two environmental stresses and proved that the proposed remote sensing canopy resistance model is a promising tool for the investigation of stomatal behavior under environmental stress; this is particularly relevant for regional precision farming.

气孔是作物与外部环境之间水气交换的重要渠道。气孔行为可以揭示环境压力如何影响作物生长。传统的气孔调查方法涉及使用造口相关仪器或田间田地对特定植物进行实验性实验室测量。然而，开发新的遥感冠层抗性模型以分析典型环境胁迫下农作物的气孔行为对于区域农业管理至关重要。冠层阻力是代表整个作物气孔行为的至关重要的微观尺度－宏观尺度（从千米到微米）。在这项研究中，提出了基于Penman-Monteith模型和遥感蒸散模型的遥感冠层阻力模型。R ²  = 0.98）。最后，基于遥感的冠层阻力测量被用于研究土壤盐分和干热风对冬小麦的影响。结果表明，该模型在两种环境胁迫下恢复作物气孔行为方面具有优异的模型性能，并证明了该遥感冠层抗性模型是研究环境胁迫下气孔行为的有前途的工具。这对于区域精准农业尤为重要。