Agricultural Drought Monitoring Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: 28 May 2025 | Viewed by 52
Special Issue Editors
Interests: soil moisture; drought impact assessment; data assimilation; crop modelling
Special Issues, Collections and Topics in MDPI journals
Interests: hydrological remote sensing; land–atmosphere coupling
Special Issues, Collections and Topics in MDPI journals
Interests: drought propagation; drought risk assessment; hydrological prediction
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; land surface modelling; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agricultural drought is influenced by a range of forcing factors, including precipitation deficits, soil moisture depletion, and increased evapotranspiration, all of which interact to disrupt crop health, reduce productivity, and compromise food security. Monitoring these forcing factors and the subsequent response indicators, such as vegetation stress, changes in land surface temperature, and soil moisture conditions is essential for effective assessment and timely intervention. Remote sensing offers a robust and scalable solution by providing a continuous, large-scale monitoring capacity through a variety of satellite-based sensors. These technologies offer new possibilities for near real-time drought detection and management, empowering stakeholders with data-driven insights for more informed and timely decision-making.
This Special Issue aims to highlight recent advances in remote sensing technologies for agricultural drought monitoring. Topics of interest include the following:
- Development and validation of remote sensing-based drought indices;
- Integration of optical, thermal, and microwave sensors for drought detection;
- Applications of remote sensing data in early warning systems and sustainable water management;
- Comparative studies between satellite products and ground-based observations;
- Multi-scale assessments of drought impact on different crops and regions;
- Use of artificial intelligence and machine learning to enhance drought predictions.
Dr. Yang Lu
Prof. Dr. Jianzhi Dong
Prof. Dr. Shengzhi Huang
Dr. Natthachet Tangdamrongsub
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- agricultural drought
- remote sensing
- drought detection
- soil moisture
- early warning
- drought impact
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