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- W2786339990 abstract "Este trabalho teve como objetivo estimar a temperatura da superficie continental, por meio do sensor Thermal Infrared Sensor (TIRS) do LANDSAT 8 com o uso de sensoriamento remoto e suas ferramentas para uma regiao da Amazonia Ocidental brasileira. A analise foi realizada para duas imagens no periodo chuvoso (10/02/2015) e periodo seco (24/08/2016) com a utilizacao do sensor Thermal Infrared Sensor (TIRS) do LANDSAT 8, o Modelo Digital de Elevacao, focos de incendios e o uso e ocupacao do solo para analisar as possiveis correlacoes existentes na area de estudo. Os resultados encontrados mostraram um significativo aumento da temperatura da superficie e focos de incendio para o ano de 2016. O evento El Nino na regiao foi o que contribui significativamente para o aumento da temperatura da superficie na area de estudo e focos de incendio. No ano de 2015 as areas destinadas a concentracao urbana (cidades) e atividades que causam bastante alteracao na vegetacao nativa e no uso original do solo (pecuaria) apresentaram os maiores valores de temperatura, entre 23°C e 26°C para cidade e pecuaria entre 25,8°C e 28,6°C, respectivamente para 2015 e 2016. A regiao de area florestal de uso sustentavel apresentou o menor registro de temperatura tanto em 2015 (18,31°C) quanto em 2016 (24,44°C), enquanto o maior registro foi apresentado pela classe terra indigena + pecuaria + cultivo tanto para 2015 (26,01°C) quanto para 2016 (28,59°C). A metodologia proposta possibilitou identificar as regioes propicias a focos de calor e a vulnerabilidade do ecossistema amazonico diante da ocorrencia dos incendios. A B S T R A C T The objective of this work was to estimate the continental surface temperature using the LANDSAT 8 Thermal Infrared Sensor (TIRS) with the use of remote sensing and its tools for a region of the Brazilian Western Amazon. The analysis was performed for two images in the rainy season (10/02/2015) and dry period (08/24/2016) using the Thermal Infrared Sensor (TIRS) of LANDSAT 8, the Digital Elevation Model, Fires and the use and occupation of the soil to analyze the possible correlations existing in the study area. The results showed a significant increase in surface temperature and fire outbreaks for the year 2016. The El Nino event in the region contributed significantly to the increase in surface temperature in the study area and fire outbreaks. In the year of 2015, the areas destined to the urban concentration (cities) and activities that cause a lot of change in the native vegetation and the original use of the soil (livestock) presented the highest values of temperature, between 23°C and 26°C for city and livestock Between 25.8°C and 28.6°C respectively for 2015 and 2016. The region of sustainable forest area presented the lowest temperature record in both 2015 (18.31°C) and 2016 (24.44°C), while the highest record was presented by indigenous land + livestock + cultivation for both 2015 (26.01°C) and 2016 (28.59°C). The proposed methodology made it possible to identify the regions that are prone to hot spots and the vulnerability of the Amazon ecosystem in the face of the occurrence of fires. Keywords: Burnings, LANDSAT 8, Descriptive Statistics." @default.
- W2786339990 created "2018-02-23" @default.
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- W2786339990 date "2018-01-01" @default.
- W2786339990 modified "2023-09-26" @default.
- W2786339990 title "Estimativa da temperatura da superfície por sensoriamento remoto para a região da Amazônia Ocidental Brasileira (Estimation of the surface temperature by remote sensing for the region of the western Brazilian Amazon)" @default.
- W2786339990 doi "https://doi.org/10.26848/rbgf.v11.1.p237-250" @default.
- W2786339990 hasPublicationYear "2018" @default.
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