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Silva,Bernardo B. da; Braga,Alexandra C.; Braga,Célia C.; Oliveira,Leidjane M. M. de; Montenegro,Suzana M. G. L.; Barbosa Junior,Bernardo. |
ABSTRACT The surface albedo plays an important role in the exchanges of energy and mass in the planetary boundary layer. Therefore, changes in albedo affect the balance of radiation and energy at the surface, which can be detected with its monitoring. Albedo determination has been performed through various sensors, but there is not yet any publication dealing with albedo calculation procedures using OLI (Operational Land Imager) - Landsat 8 images. The objective of the study is to present the procedures for computing the albedo with OLI images and map it in irrigated areas of the São Gonçalo Irrigated District, PB, Brazil. Images of the year 2013, path 215 and row 65, were selected. The data necessary for calculating the albedo were extracted from each... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Radiance; Spectral reflectance; Atmospheric transmittance; Net radiation. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016000100003 |
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Silva,Vicente de P. R. da; Silva,Roberta A. e; Maciel,Girlene F.; Souza,Enio P. de; Braga,Célia C.; Holanda,Romildo M. de. |
ABSTRACT The climatic conditions along the cycle are the main factors responsible for the final production of any crop. This study aimed to evaluate the current conditions and the effects of climate change scenarios on the yield of soybean grown in the Matopiba region, located between the states of Tocantins, south and northeast of Maranhão, south of Piauí and west of Bahia, Brazil. The AquaCrop model of FAO, version 5.0, was calibrated with data of 2014 and validated with those of 2016, using climate, soil and crop management parameters collected in two experimental campaigns conducted between June and October in 2014 and 2016 in Palmas, TO, Brazil. The performance of the model was evaluated using the following statistical indicators: prediction error... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Yield; AquaCrop model; Climate variability. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100008 |
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