Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Estimation of the Evapotranspiration of Irrigated Açaí (Euterpe oleracea M.), through the Surface Energy Balance Algorithm for Land—SEBAL, in Eastern Amazonia
The culture of açaí (Euterpe oleraceae M.), originating from floodplain areas, was planted on dry land in many properties in Pará, Brazil, making necessary the use of irrigation. To irrigate adequately with less waste, it is necessary that studies aim at increasing efficiency in the use of water in this sector, and one of the ways to do so is to estimate evapotranspiration (ET). The objective of this study was to estimate the actual daily evapotranspiration using the Surface Energy Balance Algorithm for Land (SEBAL) in eastern Amazonia. Six images from the Landsat 8 satellite were used, and the estimates of evapotranspiration with the SEBAL algorithm showed good agreement with the results obtained by the Bowen ratio method in the area of açaí planting, including the mean absolute error (MAE), mean relative error (MRE), root of mean square error (RMSE), and the concordance index (d index) equal to 0.45 mm day−1, 4.23%, 0.52 mm day−1, and 0.80, respectively. SEBAL showed the ability to distinguish the soil cover, demonstrating the sensitivity of the model, which provided the mapping of the components analyzed. The use of the algorithm helps in decision making regarding irrigation management and reducing costs and water losses.
Estimation of the Evapotranspiration of Irrigated Açaí (Euterpe oleracea M.), through the Surface Energy Balance Algorithm for Land—SEBAL, in Eastern Amazonia
The culture of açaí (Euterpe oleraceae M.), originating from floodplain areas, was planted on dry land in many properties in Pará, Brazil, making necessary the use of irrigation. To irrigate adequately with less waste, it is necessary that studies aim at increasing efficiency in the use of water in this sector, and one of the ways to do so is to estimate evapotranspiration (ET). The objective of this study was to estimate the actual daily evapotranspiration using the Surface Energy Balance Algorithm for Land (SEBAL) in eastern Amazonia. Six images from the Landsat 8 satellite were used, and the estimates of evapotranspiration with the SEBAL algorithm showed good agreement with the results obtained by the Bowen ratio method in the area of açaí planting, including the mean absolute error (MAE), mean relative error (MRE), root of mean square error (RMSE), and the concordance index (d index) equal to 0.45 mm day−1, 4.23%, 0.52 mm day−1, and 0.80, respectively. SEBAL showed the ability to distinguish the soil cover, demonstrating the sensitivity of the model, which provided the mapping of the components analyzed. The use of the algorithm helps in decision making regarding irrigation management and reducing costs and water losses.
Estimation of the Evapotranspiration of Irrigated Açaí (Euterpe oleracea M.), through the Surface Energy Balance Algorithm for Land—SEBAL, in Eastern Amazonia
Paulo Jorge de Oliveira Ponte de Souza (Autor:in) / Ewelyn Regina Rocha Silva (Autor:in) / Bernardo Barbosa da Silva (Autor:in) / Thomás Rocha Ferreira (Autor:in) / Denis de Pinho Sousa (Autor:in) / Denilson Barreto da Luz (Autor:in) / Marcos Adami (Autor:in) / Adriano Marlison Leão de Sousa (Autor:in) / Hildo Giuseppe Garcia Caldas Nunes (Autor:in) / Gabriel Siqueira Tavares Fernandes (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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Evapotranspiration Estimation Using Remote Sensing Technology Based on SEBAL Algorithm
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