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ARS Home » Plains Area » Bushland, Texas » Conservation and Production Research Laboratory » Soil and Water Management Research » Research » Publications at this Location » Publication #369807
Research Project: Precipitation and Irrigation Management to Optimize Profits from Crop Production

Location: Soil and Water Management Research

Title: The BAITSSS model: an opportunity to integrate remote sensing and energy balance modeling with variable rate irrigation control systems

Author
item DHUNGEL, RAMESH - Kansas State University
item AIKEN, ROB - Kansas State University
item LIN, XIAOMAO - Kansas State University
item Colaizzi, Paul
item Baumhardt, Roland - Louis
item O'BRIEN, DAN - Kansas State University

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 11/25/2020
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Recent advances support near-autonomous variable rate irrigation control systems. A novel energy balance application may provide complementary tools for in-season irrigation management. The BAITSSS model utilizes remotely sensed soil-canopy reflectance and available gridded soils and weather information to directly solve the two-layer energy balance for soil and canopy sources. The model provides 30-m spatial and hourly temporal resolution. Model performance has been evaluated against field lysimeters and eddy covariance systems in an irrigated cropland regime, subject to local and regional advection. Model application to water management districts has been evaluated against multi-year annual pumping records for regulated water rights. Feasibility and opportunity to extend application to in-season water management and control is addressed.