Navegando por Assunto "Albedo"

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Estudo do albedo da palma de óleo em comparação a diferentes usos e cobertura do solo no leste da Amazônia
(Universidade Federal do Pará, 2018-04-26) CAMPOS, Mayara Soares; ARAÚJO, Alessandro Carioca de; http://lattes.cnpq.br/6188087583954899; ADAMI, Marcos; http://lattes.cnpq.br/7484071887086439
The advance of the agricultural frontier in the Amazon region has been continuous in these recent years, especially in the eastern Amazon with the expansion of oil palm cultivation, which has caused many changes in the land cover of the region. In this way, considering the need to understand the response of the oil palm culture to changes in the surface albedo, this study aims to assess the albedo fluctuations in oil palm cultivation area. In order to do this, we compared the albedo values observed by a micrometeorological tower with those estimated from orbital data, based on the products of Landsat 8/OLI and Terra/MODIS satellites. The oil palm albedo was also compared with the albedo of others land use and land cover as pasture, forest and secondary vegetation. This analysis showed that the values observed in situ (non-imaging sensor) for the oil palm cultivation are statistically the same as those estimated by the two orbital sensors (imaging sensor) and they ranged from 0.14 to 0.15 in the dry season. The results also showed a good agreement between the albedo estimated by the orbital sensors. Moreover, the evaluation of the similarity between the other types of uses and coverings in relation to the surface albedo were significantly different from each other, which present the following pattern: Pasture > Oil Palm > Secondary vegetation > Forest. This result suggests that conversions from one land cover to another can influence the radiation balance on the surface and thereby trigger climate change. These information presented in this research can contributes to better understand the albedo fluctuation values of oil palm surface and other land covers in a satisfactory way and can also contribute with information for possible parameterizations of climate simulations models and environmental impacts.