Accurate estimation of daily crop evapotranspiration (ET) at the sub-field level is critical
Research gap analysis derived from 3 agriculture papers in our local library.
The gap
Accurate estimation of daily crop evapotranspiration (ET) at the sub-field level is critical for precision irrigation scheduling and management, yet few studies have examined how satellite-based ET products represent soil-driven spatial variability within a single field.
Evidence profile
Sourced from the abstract and limitations section of the source papers, classified as general, spanning 3 journals. Those papers have been cited 1 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Practical irrigation scheduling at the sub-field scale: Comparing OpenET and capacitance soil moisture sensors against a TSEB reference in dry edible beans (2026) · Agricultural Water Management · doi
Accurate estimation of daily crop evapotranspiration (ET) at the sub-field level is critical for precision irrigation scheduling and management, yet few studies have examined how satellite-based ET products represent soil-driven spatial variability within a single field.
generalabstractevidence 5/5Keywords: field accurate estimation daily crop evapotranspiration level critical precision irrigation scheduling management examined satellite based - Development and Assessment of a Multivariate Drought Index Using the SWAT-Copula Method in the Fuhe River Basin, China (2026) · Hydrology · doi
Traditional univariate indices such as the Standardized Precipitation Index (SPI) and Standardized Soil Moisture Index (SSI) are limited by their inability to capture the coupled meteorological-agricultural drought process, - The study only considered the Fuhe River Basin in China, - The study used a simulation model (SWAT) which may have its own limitations
generallimitations sectionevidence 5/5Keywords: traditional univariate indices standardized precipitation index spi soil - Estimation of actual evapotranspiration from the SEBAL model and comparison with four datasets in an irrigation district of China (2026) · Irrigation Science · cited 1× · doi
Interannual differences result from both uncertainties associated with the varying timing and number of usable images and real variability in climatic drivers and field-scale water management practices, - The analysis is based on available Landsat scenes per year, - The study uses a limited number of meteorological stations, - The study uses a specific model (SEBAL) and formula (Penman-Monteith) for estimation, - The study focuses on a specific irrigation district in China
generallimitations sectionevidence 5/5Keywords: interannual differences result both uncertainties associated varying timing
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