page_title: BAITSSS
section_title: Rationale
hierarchical_section_title: BAITSSS / Rationale
caption_attribution_description: English: Major components of BAITSSS ET model
context_page_description: BAITSSS is biophysical Evapotranspiration computer model that determines water use, primarily in agriculture landscape, using remote sensing-based information. It was developed and refined by Ramesh Dhungel and the water resources group at University of Idaho's Kimberly Research and Extension Center since 2010. It has been used in different areas in the United States including Southern Idaho, Northern California, northwest Kansas, and Texas.
context_section_description: The majority of remote sensing based instantaneous ET models use evaporative fraction (EF) or reference ET fraction (ETᵣF), similar to crop coefficients, for computing seasonal values, these models generally lack the soil water balance and Irrigation components in surface energy balance.  Other limiting factors is the dependence on thermal-based radiometric surface temperature, which is not always available at required temporal resolution  and frequently obscured by factors such as cloud cover. BAITSSS was developed to fill these gaps in remote sensing based models liberating the use of thermal-based radiometric surface temperature and to serve as a digital crop water tracker simulating high temporal  (hourly or sub-hourly) and spatial resolution (30 meter) ET maps. BAITSSS utilizes remote sensing based canopy formation information, i.e. estimation of seasonal variation of vegetation indices  and senescence.
caption: Major Components of BAITSSS ET Model
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