Special Issue "Remote Sensing for Crop Water Stress Detection and Irrigation Management"
Deadline for manuscript submissions: 30 April 2021.
Interests: Precision agriculture: (a) Fusion of thermal and hyperspectral imagery for monitoring and mapping water status and nitrogen level in various crops and orchards; (b) Spatio-spectral analysis of thermal and hyperspectral imagery for management zones delineation; Spatio-temporal analysis of pests and diseases dispersion: Medfly, Olive fly, Heliothis, leaf-roll virus in grapevine and soil-borne diseases in potato; Development of spatial decision support tools and systems for pest control
Interests: Applying principles of engineering and the sciences to measure model, and manage the interaction between agricultural production systems and the environment. Under this umbrella, he has developed two areas of emphasis – precision agriculture and water resources. Often these two areas blend.
Interests: Evaluation of crop water requirements and on-farm irrigation management. Crop water stress detection for the implementation of deficit irrigation strategies. Remote sensing tools for measuring and managing water and nitrogen status variability in crop production.
Due to population growth and increasing food demands, irrigated agriculture will increasingly take place under water scarcity. Thus, management techniques that can produce ‘more crop per drop’ will assume increased importance. Remote sensing data can be used to assess crop water status in the field, to estimate evapotranspiration, to delineate homogeneous management zones, and ultimately characterize and analyze them to produce application or prescription maps for variable rate irrigation. Remote sensing data provides a wide range of use levels, from mapping crop variability to measuring and mapping plant water status that supports irrigation actions that would have positive influence on irrigation water productivity and/or harvest outcome.
Dr. Yafit Cohen
Prof. George Vellidis
Dr. Carlos Ballester Lurbe
- Canopy water status
- Canopy water content
- Thermal imaging
- Time-series spectral indices
- Water stress indices
- In-field water status variability
- Irrigation decision making
- Precision irrigation
- Decision support tools
- Water use efficiency