Albedo da superfície por meio de imagens TM-Landsat 5 e modelo numérico do terreno

Giongo, Pedro Rogério; Vettorazzi, Carlos Alberto

doi:10.1590/1807-1929/agriambi.v18n08p833-838

Cited by 14 publications

(13 citation statements)

References 17 publications

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“…Through the cross-reference of the thematic maps, the contribution of each class of use with its respective albedo values was observed. The results obtained in this study corroborate with Giongo and Vettorazzi (2014), who obtained a percentage of albedo between 6 and 11% for the dams. For Kuusinen et al (2013), the water blades presented an average albedo value of 5.6% associated with one of the smallest deviations when compared to other types of land use and land cover.…”

Section: Discussionsupporting

confidence: 91%

“…Corroborating this approach, it was identified that in 1987 the predominant class was 5, with albedo values between 0.12 and 0.14, representing 26.50% of the total area, while in 2017, the mapping indicated that class 4, with albedo varying from 0.10 to 0.12, encompassed the largest percentage of area, corresponding to 34.11% of FLONA. Giongo and Vettorazzi (2014) obtained albedo values between 7% and 31% with the use of TM/Landsat 5 images in the state of São Paulo, while Dantas et al (2010), using AVHRR/NOOAA images and TM/Landsat 5 in the monitoring of Caatinga, obtained albedo values ranging from 4% to 34%. The albedo values of the present study encompassed a lower amplitude than that described in the literature, since the study area is predominantly 1018 FLORESTA, Curitiba, PR, v. 50, n. 1, p. 1011PR, v. 50, n. 1, p. -1020 occupied with tree cover, and it does not present rock outcrop and/or exposed soil, which tend to present a greater loss of energy into the atmosphere, increasing the albedo values recorded by the sensor.…”

Section: Discussionmentioning

confidence: 96%

“…The estimation of large-scale surface albedo is often performed from low and medium spatial resolution reflectance data (LUKES et al, 2014). In this perspective, the data of the Moderate-Resolution Imaging Spectroradiometer (MODIS) sensor are used to estimate the albedo of large regions (PLANQUE et al, 2017;LUKES et al, 2016;LUKES et al, 2014) while Landsat images are intended for smaller scales (KUUSINEN et al, 2016;GIONGO;VETTORAZZI, 2014;LIBERATO, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Influence of Forest Coverage in the Surface Albedo

Alba¹,

Marchesan²,

Schuh³

et al. 2019

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The surface albedo controls the energy balance between the surface and the atmosphere, being a primordial variable to identify climatic variations. The objective of this study was to evaluate the changes of the surface albedo in different Land Use and Land Cover in the Atlantic Forest biome from images TM/Landsat 5 and OLI/Landsat 8, verifying its variation in 30 years. The images used were path-row 221-080, which covered the Floresta Nacional de São Francisco de Paula on the dates of 1987 and 2017. The albedo was obtained by the method of the Surface Energy Balance Algorithm for Land, while the mapping of Land Use and Land Cover was performed by the Bhattacharyya algorithm, identifying four thematic classes. Finally, the albedo was crossed with the thematic classes, evidencing their variation in function of the changes in the land cover. The surface albedo ranged from 6 to 22%, but the year 1987 concentrated albedo values higher than in 2017. The native forest presented superior albedo to the Forest Plantations in both dates due to the structure of the canopy of this class. The spatial analysis of the albedo exposes the relation of this climatic variable to the cover of the terrestrial surface. Thus changes in the vegetation cover cause alterations in the albedo, influencing changes in the radiation and atmospheric fluxes.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Influence of Forest Coverage in the Surface Albedo

Alba¹,

Marchesan²,

Schuh³

et al. 2019

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“…In the areas of sugar cane and silviculture, the tendency of albedo values was to increase with the development of the crop due to the increase of the soil cover, being evident in the relation between the albedo and the leaf area as reported by André et al [46], which found the average albedo value for the whole cycle of the sugarcane crop as 0.20 ± 0.029. Giongo and Vettorazzi [47] diagnosed higher albedo in pasture areas, compared to sugarcane, due to its smaller leaf area. Giongo et al [48] obtained the albedo in a sugarcane area, with values ranging from 0.13 to 0.23.…”

Section: Input Parameters Of Safer Algorithmmentioning

confidence: 98%

Large-Scale Spatial Modeling of Crop Coefficient and Biomass Production in Agroecosystems in Southeast Brazil

2018

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Sentinel-2 images at 10-m resolution were used for modeling crop coefficients and biomass production with the application of the so-called SAFER (Simple Algorithm for Evapotranspiration Retrieving) and Monteith model for biomass production in an area nearby the city of Águas de Santa Bárbara, in the central-western part of São Paulo State, Brazil, which presents a vast agricultural landscape mosaic, to analyze the effects of the end of the recent ENSO's (El Niño-Southern Oscillation) most active period (2016/2017) and its posteriori effects on vegetation (until early 2018). Surface albedo, temperature, net radiation, and NDVI (Normalized Difference Vegetation Index) from the main land uses were extracted to process microclimatic comparisons. Crop coefficient (dimensionless) and biomass production (kg.ha −1 .day −1 ) ranges for the period studied were 0.92-1.35 and 22-104 kg·ha −1 ·day −1 (in the area occupied by sugarcane crop), 0.56-0.94 and 15-73 kg·ha −1 ·day −1 (pasture), 1.17-1.56 and 25-210 kg·ha −1 ·day −1 (silviculture), and 1.05-1.36 and 30-134 kg·ha −1 ·day −1 (forest). According to the spatial and temporal consistencies, and after comparison with previous point and large-scale studies with similar climatic and thermal conditions, the SAFER and Monteith modelsshowed the ability to quantify and differentiate the large-scale crop coefficients and biomass production of different land uses in the southeast Brazil region. The SAFER algorithm with Sentinel-2 images obtained crop coefficients that indicated plant growth stages and local thermohydrological conditions at a 10-m resolution. The results are important for land use, crop yield and reforestation planning, and for water management plans for actual and future water demand scenarios, and this methodology is useful for monitoring rural and water parameters, and for precision agriculture applications.

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“…o albedo da superfície é um parâmetro biofísico cuja variação ocorre com o tipo de alvo sobre o qual incide a radiação eletromagnética e variações deste parâmetro são excelentes indicadores de mudanças no cenário de uma bacia hidrográfica, assim como um dos componentes mais importantes do balanço de energia (Silva et al, 2005;Loarie et al, 2011;Giongo et al, 2014;Silva et al, 2016).…”

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Avaliação do albedo nos diferentes tipos de cobertura do cerrado do Amapá - Brasil com imagens MODIS

Silva

Amanajás

Alcântara

et al. 2017

TER

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A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos.Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da instituição detentora da supramencionada licença.Ao utilizador é apenas permitido o descarregamento para uso pessoal, pelo que o emprego do(s) título(s) descarregado(s) para outro fim, designadamente comercial, carece de autorização do respetivo autor ou editor da obra. Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso. Avaliação do albedo nos diferentes tipos de cobertura do cerrado do Amapá -Brasil com imagens MODIS Autor(es):Braga, Célia Campos; Amanajás, Jonathan Castro; Alcântara, Clênia Rodrigues; Dantas, Milena Pereira o processamento da das imagens foi feita pelo programa ERDAS. Empregaram algoritmos os deLiang e Tasumi para estimar o albedo nas áreas composto por área urbana, cerrado e floresta nativa e silvicultura de eucaliptos. Os resultados obtidos pelos dois métodos são eficazes na estimativa do albedo. A relação entre os valores médios estimados pelos métodos apresentou uma correlação de r=0,88 erro percentual médio EPM = 7,8% e erro padrão médio EPAM = 0,012 para o nível de significância α. Palavras-chave:MoDiS/Terra, imagens, silvicultura, métodos mínimos quadrados.

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Albedo da superfície por meio de imagens TM-Landsat 5 e modelo numérico do terreno

Cited by 14 publications

References 17 publications

Influence of Forest Coverage in the Surface Albedo

Influence of Forest Coverage in the Surface Albedo

Large-Scale Spatial Modeling of Crop Coefficient and Biomass Production in Agroecosystems in Southeast Brazil

Avaliação do albedo nos diferentes tipos de cobertura do cerrado do Amapá - Brasil com imagens MODIS

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