Remote Sensing of Evapotranspiration and Water Stress of Woody Perennial Crops in Water-Limited Regions
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 7289
Special Issue Editors
Interests: water resources management; water resources engineering; watershed management; flood modelling; evapotranspiration; water resources
Special Issue Information
Dear Colleagues,
Woody perennial crops, such as grape vines and various orchard crops, represent an economically important fraction of agricultural production in the US and around the world. Irrigation scheduling is often seen as the single most important tool for the management of both yield and quality in the production of these crops, but the combined effects of global climate change and growing demands for water have begun to threaten the long-term viability of continued production levels in some regions. Timely knowledge of evapotranspiration (ET) rates and plant water stress status can be very useful in irrigation scheduling decisions, but the use of remote sensing (RS) technologies for the accurate estimation of these factors for most woody perennial crops is difficult for various scientific and technical reasons. We lack a sufficient understanding of such things as the effects of inconsistencies in the spatial, temporal, and spectral resolution of different types of sensors that prove difficult to resolve; how to accurately separate crop canopy from interrow ET, especially for ET models based on coarse-resolution satellite imagery; how to accurately account for differences in cultivars, irrigation methods, and plant management technologies in modeling ET and ET components; the relationship of crop canopy ET to stress conditions; and the effects of the formation and evolution of atmospheric boundary layers—especially at the edges of large irrigated crop production areas—on diurnal ET rates and biophysical processes. This Special Issue will address these and other scientific challenges for the use of RS technologies in ET estimation for agricultural water management.
Dr. Mac McKee
Dr. Joseph G. Alfieri
Guest Editors
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Keywords
- evapotranspiration
- transpiration
- woody perennial crops
- remote sensing
- energy balance models
- machine learning models
- boundary layers
- land surface–atmospheric exchanges
- spatial scale effects
- data fusion
- upscaling
- downscaling
- plant water stress
- biomass influence
- advection processes
- irrigation management
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