MAPPING ANNUAL AIR TEMPERATURE IN ALAGOAS STATE, BRAZIL, WITH DIFFERENT DIGITAL ELEVATION MODELS AND SPATIAL RESOLUTIONS

• Autor(a) principal: Lyra, Gustavo Bastos
• Data de Publicação: 2011
• Outros Autores: Santos, Mercel José dos, Souza, José Leonaldo de, Lyra, Guilherme Bastos, Santos, Marcos Alex dos
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Ciência Florestal (Online)
• Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/3231
• topic: GTOPO30; SRTM; geostatiscal models.; GTOPO30; SRTM; modelos geoestatísticos

The aim of this study was to establish a digital elevation model and its horizontal resolution to interpolate the annual air temperature for the Alagoas State by means of multiple linear regression models. A multiple linear regression model was adjusted to series (11 to 34 years) of annual air temperatures obtained from 28 weather stations in the states of Alagoas, Bahia, Pernambuco and Sergipe, in the Northeast of Brazil, in function of latitude, longitude and altitude. The elevation models SRTM and GTOPO30 were used in the analysis, with original resolutions of 90 and 900 m, respectively. The SRTM was resampled for horizontal resolutions of 125, 250, 500, 750 and 900 m. For spatializing the annual mean air temperature for the state of Alagoas, a multiple linear regression model was used for each elevation and spatial resolution on a grid of the latitude and longitude. In Alagoas, estimates based on SRTM data resulted in a standard error of estimate (0.57 º C) and dispersion (r2 = 0.62) lower than those obtained from GTOPO30 (0.93ºC and 0.20). In terms of SRTM resolutions, no significant differences were observed between the standard error (0.55 °C; 750 m - 0.58 ºC; 250m) and dispersion (0.60; 500 m - 0.65; 750 m) estimates. The spatialization of annual air temperature in Alagoas, via multiple regression models applied to SRTM data showed higher concordance than that obtained with the GTOPO30, independent of the spatial resolution.