Data/hora: 03/06/2024 16:48:00

Biblioteca(s): | Embrapa Agropecuária Oeste.
Data corrente: | 16/02/2022
Data da última atualização: | 16/02/2022
Autoria: | WOLFF, W.; FRANCISCO, J. P.; FLUMIGNAN, D. L.; MARIN, F. R.; FOLEGATTI, M. V.
Afiliação: | WAGNER WOLFF, PROFESSOR, ESCOLA SUPERIOR DE AGRICULTURA "LUIZ DE QUEIROZ", UNIVERSIDADE DE SÃO PAULO, PIRACICABA, SP; JOÃO PAULO FRANCISCO, UNIVERSIDADE ESTADUAL DE MARINGÁ, UMUARAMA, PR; DANILTON LUIZ FLUMIGNAN, CPAO; FÁBIO RICARDO MARIN, PROFESSOR, ESCOLA SUPERIOR DE AGRICULTURA "LUIZ DE QUEIROZ", UNIVERSIDADE DE SÃO PAULO, PIRACICABA, SP; MARCOS VINÍCIUS FOLEGATTI, PROFESSOR, ESCOLA SUPERIOR DE AGRICULTURA "LUIZ DE QUEIROZ", UNIVERSIDADE DE SÃO PAULO, PIRACICABA, SP.
Título: | Optimized algorithm for evapotranspiration retrieval via remote sensing.
Ano de publicação: | 2022
Fonte/Imprenta: | Agricultural Water Management, v. 262, 107390, 2022.
DOI: | 10.1016/j.agwat.2021.107390
Idioma: | Inglês
Conteúdo: | Many algorithms for surface energy balance (SEB) based on remote sensing (RS) have been advanced to determine evapotranspiration (ET). These algorithms were developed for specific conditions (e.g., sensors, land use, and crop management) in which functions and empirical parameters within its algorithms concur with those conditions. Therefore, this study aims to develop a SEB-RS algorithm for retrieving ET adjusted to in situ ob- servations. The study was conducted in two experimental fields in Brazil with the crops Jatropha curcas, maize, soybean, and sugarcane. We used multispectral images from the orbital sensors, Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) coupled in Landsat 8 satellite and from the terrestrial sensor, Altum, on board of an unmanned aerial vehicle. The proposed algorithm termed as Ground-truthed Surface Energy Balance (GT-SEB) is based on physical formulation of SEB-RS algorithms, where two extra computational processes using in situ ET observations were proposed for originating the new algorithm. The first additional process for opti- mizing the automatic ?anchor? pixels selection and another for algorithm parameters optimization. Thus, both processes aim to reduce the difference between the observed ET and estimated by GT-SEB. Being assessed for both orbital (OLI/TIRS) and suborbital (Altum) sensors, the GT-SEB yielded excellent results (root-mean-square- error, RMSE, &#8804; 0.48 mm and modified Kling-Gupta efficiency, KGE, &#8805; 0.92). In addition to GT-SEB being an optimized algorithm, it uses a classic parameterization of SEB-RS algorithms, providing efficiency and scalability for other remote sensors, climates, and surfaces.
Palavras-Chave: | Geoprocessamento.
Thesagro: | Agricultura de Precisão; Irrigação.
Categoria do assunto: | A Sistemas de Cultivo
Registro original: | Embrapa Agropecuária Oeste (CPAO)
Exemplares: | CPAO - (37263-1) - UPC - AP - DD -  -  -  - DIS