Evapotranspiração das culturas do milho e feijão no bioma Cerrado utilizando sensoriamento remoto por drones e satélites

• Ano de defesa: 2023
• Autor(a) principal: Almeida, Fillipe de Paula
• Orientador(a): Júnior, José Alves
• Banca de defesa: Alves Júnior, José, Souza, João Maurício Fernandes, Giongo, Pedro Rogerio, Ferreira, Manuel Eduardo, Pena, Diogo Silva
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Agronomia (EA)
• Departamento: Escola de Agronomia - EA (RMG)
• País: Brasil
• Palavras-chave em Português: Necessidade hídrica; Phaseulus vulgares; Zea mays; SAFER; Geoprocessamento
• Palavras-chave em Inglês: Water requirement; Phaseulus vulgares; Zea mays; SAFER; Geoprocessing
• Área do conhecimento CNPq: CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/12713

Corn and beans are two of the main grains grown worldwide, with great importance in human and animal food. Corn cultivation is carried out mainly in the 1st and 2nd harvest, depending most of the time on rain and being vulnerable to dry spells. Likewise beans, which are mostly produced in the 2nd harvest. As a result, knowledge of crop evapotranspiration is essential to feed models for estimating and breaking productivity, managing water resources and managing irrigation. In this context, remote sensing becomes a viable alternative, with low operating costs and good accuracy. Thus, the objective of this work was to evaluate the performance of the Simple Algorithm For Evapotranspiration Retrieving (SAFER) algorithm in estimating the current evapotranspiration (ETa) of corn and bean crops in the northwest region of Goiás. Both studies were carried out in ItaberaíGoiás in an area irrigated by center pivot in the year 2021. The research was carried out in two parts: the first was to evaluate the impact of bolting on the calculated ET in an area cultivated with corn. Images from a MicaSense Altum multispectral and thermal camera coupled to a drone and three different sources of albedo images were used: Landsat 8, Sentinel 2A and drone. The albedo from the drone was obtained through the camera's reflectance images. The second part was to evaluate the impact of different albedo sources on the calculated ET, also using the camera images, but using four albedo sources. For this, an albedometer was installed in the field. The ET estimated by each source was determined with the ET obtained by the FAO method, Embrapa and climatological water balance from statistical indices. Tasseling in the maize crop contaminated the NDVI and albedo pixels, leading to a greater underestimation in the reproductive phase. On average, the MDE (mean square error) and AME (mean absolute error) were close to 1 mm day-1. Estimation of ET by remote sensing is not recommended for the reproductive phase of maize. Estimation of the ETa for the common bean crop is recommended from multispectral and thermal camera images, with both surface albedo sources. The confidence index ranges from 0.91 to 0.97. ETDroneAlb showed lower error compared to the standard methods.