Espectrorradiometria de vegetação campestre e relação com evapotranspiração a partir de torre de fluxo

• Ano de defesa: 2020
• Autor(a) principal: Santos, Marcos Augusto Gomes dos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Geografia; UFSM; Programa de Pós-Graduação em Geografia; Centro de Ciências Naturais e Exatas
• Palavras-chave em Português: Espectrorradiometria; CNPQ::CIENCIAS HUMANAS::GEOGRAFIA
• Link de acesso: http://repositorio.ufsm.br/handle/1/21200

Evapotranspiration is an important natural phenomenon in the hydrological cycle since it is responsible for the production of water into the atmosphere. The term evapotranspiration carries two concepts that explain its action in the hydrological cycle, evaporation can be described as the water that evaporates from water bodies and portions of exposed soil and the transpiration that refers to the portion of water coming from the vegetation. The metabolic activity of vegetation can be indicated by obtained indices, known as Vegetation Indices (IV), based on their spectral behavior. This study evaluated relations between evapotranspiration (ET) obtained by the Turbulent Vortices Covariance (CVT) technique with indices obtained from remote sensing resources, such as Enhanced Vegetation Index 2 (EVI 2), Normalized Difference Vegetation Index (NDVI), Transformed Chlorophyll Absorption in Reflectance Index (TCARI) and Atmospherically Resistant Vegetation Index (ARVI), in native vegetation of the pampa biome. The experimental data were obtained in a native field area at the Federal University of Santa Maria (UFSM). The ET was estimated from a flow tower and field campaigns were performed to obtain vegetation reflectance values that were later converted into IV values. After identifying the ET and IV values, maps of their distributions in space and time were generated and the relationships between ET and EVI2, NDVI, TCARI, ARVI were known. The results revealed the existence of a good relationship between ET and NDVI, TCARI, EVI2 and a low relationship with ARVI. It was concluded that the relationships established suggests that studies on this theme, when carried out with an adequate “n” sample, can identify equations to estimate ET using only vegetation indices.