@Article{SousaFonsBend:2022:StCaSo,
               author = "Sousa, Marionei Fomaca de and Fonseca, Leila Maria Garcia and 
                         Bendini, Hugo do Nascimento",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Estimation of Water Use in Center Pivot Irrigation Using 
                         Evapotranspiration Time Series Derived by Landsat: A Study Case in 
                         a Southeastern Region of the Brazilian Savanna",
              journal = "Remote Sensing",
                 year = "2022",
               volume = "14",
               number = "23",
                pages = "e5929",
                month = "Dec.",
             keywords = "water resources, remote sensing, Landsat, SSEBop-Br model, crop 
                         water use, irrigation.",
             abstract = "In Brazil, irrigated agriculture is responsible for 46% of 
                         withdrawals of water bodies and 67% of use concerning the total 
                         water abstracted volume, representing the most significant 
                         consumptive use in the country. Understanding how different crops 
                         use water over time is essential for planning and managing water 
                         allocation, water rights, and farming production. In this work, we 
                         propose a methodology to estimate water used in agriculture 
                         irrigated by center pivots in the municipality of Itobi, Sao 
                         Paulo, in the Brazilian Savanna (known as Cerrado), which has 
                         strong potential for agricultural and livestock production. The 
                         methodology proposed for the water use estimate is based on 
                         mapping crops irrigated by center pivots for the 2015/2016 crop 
                         year and actual evapotranspiration (ETa). ETa is derived from the 
                         Operational Simplified Surface Energy Balance model (SSEBop) and 
                         parameterized for edaphoclimatic conditions in Brazil (SSEBop-Br). 
                         Three meteorological data sources (INMET, GLDAS, CFSv2) were 
                         tested for estimating ETa. The water use was estimated for each 
                         meteorological data source, relating the average irrigation 
                         balance and the total area for each crop identified in the map. We 
                         evaluated the models for each crop present in the center pivots 
                         through global accuracy and f1-score metrics, and f1-score was 
                         more significant than 0.9 for all crops. The potato was the crop 
                         that consumed the most water in irrigation, followed by soy crops, 
                         beans, carrots, and onions, considering the three meteorological 
                         data sources. The total water volume consumed by center pivots in 
                         the municipality of Itobi in the 2015/2016 agricultural year for 
                         each meteorological data source was 3.2 million m(3) (INMET), 2.5 
                         million m(3); (GLDAS), and 1.8 million m(3) (CFSv2).",
                  doi = "10.3390/rs14235929",
                  url = "http://dx.doi.org/10.3390/rs14235929",
                 issn = "2072-4292",
             language = "en",
           targetfile = "remotesensing-14-05929.pdf",
        urlaccessdate = "21 maio 2024"
}