Articles | Volume 26, issue 17
https://doi.org/10.5194/hess-26-4537-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-4537-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Joris Timmermans
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Institute for Biodiversity and Ecosystem Dynamics, University of
Amsterdam, 1090 GE Amsterdam, the Netherlands
Lifewatch ERIC, vLab & Innovation Centre, 1090 GE Amsterdam, the
Netherlands
Qi Chen
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Peter M. van Bodegom
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
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Cited
15 citations as recorded by crossref.
- Use of a Biostimulant to Mitigate the Effects of Excess Salinity in Soil and Irrigation Water in Tomato Plants J. Zuzunaga-Rosas et al. https://doi.org/10.3390/plants12051190
- Agronomic and Physiological Traits Response of Three Tropical Sorghum (Sorghum bicolor L.) Cultivars to Drought and Salinity E. Dewi et al. https://doi.org/10.3390/agronomy13112788
- High-Resolution Stress Detection in Crops: Integrating Satellite and Drone Remote Sensing for Resilient Agriculture C. Ojeilua et al. https://doi.org/10.62154/ajasfr.2025.019.01037
- Coupling of SWAT and EPIC Models to Investigate the Mutual Feedback Relationship between Vegetation and Soil Erosion, a Case Study in the Huangfuchuan Watershed, China Z. Luo et al. https://doi.org/10.3390/f14040844
- Timely monitoring of soil water-salt dynamics within cropland by hybrid spectral unmixing and machine learning models R. Du et al. https://doi.org/10.1016/j.iswcr.2023.09.007
- Exogenous γ-aminobutyric acid improves the photosynthesis efficiency, soluble sugar contents, and mineral nutrients in pomegranate plants exposed to drought, salinity, and drought-salinity stresses S. Zarbakhsh & A. Shahsavar https://doi.org/10.1186/s12870-023-04568-2
- Salinity stress and water availability inferred from satellite leaf area index assimilated into a water-energy-crop model N. Paciolla et al. https://doi.org/10.1007/s11119-025-10279-5
- Evaluating crop-specific responses to salinity and drought stress from remote sensing W. Wen et al. https://doi.org/10.1016/j.jag.2023.103438
- Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation H. Chakroun et al. https://doi.org/10.3390/s23052823
- Variability in morpho-biochemical, photosynthetic pigmentation, enzymatic and quality attributes of potato for salinity stress tolerance H. Wang et al. https://doi.org/10.1016/j.plaphy.2023.108036
- Assessment of changes in severity of compound drought and saltwater intrusion events based on a multi‐index approach in Pearl River estuary D. Li et al. https://doi.org/10.1002/hyp.14986
- Effects of novel biostimulants on the growth and transcriptomic response of maize seedlings under stress conditions M. Justamante et al. https://doi.org/10.1016/j.stress.2026.101410
- Assessment and Validation of FAPAR, a Satellite-Based Plant Health and Water Stress Indicator, over Uganda R. Ssembajwe et al. https://doi.org/10.3390/rs17203501
- An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants P. Priya et al. https://doi.org/10.1002/aps3.70047
- Integrated approaches for managing soil salinization: Detection, mitigation, and sustainability Y. Chen et al. https://doi.org/10.1016/j.plaphy.2025.110484
15 citations as recorded by crossref.
- Use of a Biostimulant to Mitigate the Effects of Excess Salinity in Soil and Irrigation Water in Tomato Plants J. Zuzunaga-Rosas et al. https://doi.org/10.3390/plants12051190
- Agronomic and Physiological Traits Response of Three Tropical Sorghum (Sorghum bicolor L.) Cultivars to Drought and Salinity E. Dewi et al. https://doi.org/10.3390/agronomy13112788
- High-Resolution Stress Detection in Crops: Integrating Satellite and Drone Remote Sensing for Resilient Agriculture C. Ojeilua et al. https://doi.org/10.62154/ajasfr.2025.019.01037
- Coupling of SWAT and EPIC Models to Investigate the Mutual Feedback Relationship between Vegetation and Soil Erosion, a Case Study in the Huangfuchuan Watershed, China Z. Luo et al. https://doi.org/10.3390/f14040844
- Timely monitoring of soil water-salt dynamics within cropland by hybrid spectral unmixing and machine learning models R. Du et al. https://doi.org/10.1016/j.iswcr.2023.09.007
- Exogenous γ-aminobutyric acid improves the photosynthesis efficiency, soluble sugar contents, and mineral nutrients in pomegranate plants exposed to drought, salinity, and drought-salinity stresses S. Zarbakhsh & A. Shahsavar https://doi.org/10.1186/s12870-023-04568-2
- Salinity stress and water availability inferred from satellite leaf area index assimilated into a water-energy-crop model N. Paciolla et al. https://doi.org/10.1007/s11119-025-10279-5
- Evaluating crop-specific responses to salinity and drought stress from remote sensing W. Wen et al. https://doi.org/10.1016/j.jag.2023.103438
- Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation H. Chakroun et al. https://doi.org/10.3390/s23052823
- Variability in morpho-biochemical, photosynthetic pigmentation, enzymatic and quality attributes of potato for salinity stress tolerance H. Wang et al. https://doi.org/10.1016/j.plaphy.2023.108036
- Assessment of changes in severity of compound drought and saltwater intrusion events based on a multi‐index approach in Pearl River estuary D. Li et al. https://doi.org/10.1002/hyp.14986
- Effects of novel biostimulants on the growth and transcriptomic response of maize seedlings under stress conditions M. Justamante et al. https://doi.org/10.1016/j.stress.2026.101410
- Assessment and Validation of FAPAR, a Satellite-Based Plant Health and Water Stress Indicator, over Uganda R. Ssembajwe et al. https://doi.org/10.3390/rs17203501
- An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants P. Priya et al. https://doi.org/10.1002/aps3.70047
- Integrated approaches for managing soil salinization: Detection, mitigation, and sustainability Y. Chen et al. https://doi.org/10.1016/j.plaphy.2025.110484
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
A novel approach for evaluating individual and combined impacts of drought and salinity in real-life settings is proposed using Sentinel-2. We found that crop responses to drought and salinity differ between growth stages. Compared to salinity, crop growth is most strongly affected by drought stress and is, in general, further exacerbated when co-occurring with salinity stress. Our approach facilitates a way to monitor crop health under multiple stresses with potential large-scale applications.
A novel approach for evaluating individual and combined impacts of drought and salinity in...