Atmospheric Science, Agricultural and Biological Sciences, Renewable Energy, Sustainability and the Environment, Computer Science
97
Scopus Publications
5629
Scholar Citations
42
Scholar h-index
130
Scholar i10-index
Scopus Publications
Energy and Carbon Balance Dynamics in a Regenerated Caatinga Area in Paraíba Any Caroline Silva, Carlos Antonio Costa dos Santos, Keila Rego Mendes, Gabriel Brito Costa, Bernardo Barbosa da Silva Revista Brasileira De Geografia Fisica, 2025 A Caatinga é um bioma altamente suscetível à degradação, um processo que pode levar à desertificação. Portanto, entender a dinâmica de áreas desse bioma que passaram por degradação, resultando em perda de produtividade, mas que conseguiram se recuperar, é de extrema importância. Assim, o objetivo deste estudo foi analisar os padrões sazonais e anuais dos componentes do balanço de energia e das trocas de CO2 em uma Caatinga regenerada na Paraíba, ao longo dos anos de 2014 e 2016. Ambos os anos apresentaram valores mais elevados de H no período seco. Por outro lado, o LE variou de 60 a 10 W/m² em 2014 e de 40 a 60 W/m² em 2016, com os maiores valores observados durante os períodos de maior precipitação, devido à maior disponibilidade de água. Foi observado que a dinâmica da produtividade primária líquida (GPP), respiração do ecossistema (Reco) e troca líquida de CO2 no ecossistema (NEE) variaram dependendo da magnitude e distribuição das chuvas e, como consequência, da variabilidade da cobertura vegetal. O NEE acumulado anual não apresentou diferença significativa (p > 0,01) entre os anos de 2014 (-1.476 g C m-²) e 2016 (-1.436 g C m-²). A Caatinga atuou como um sumidouro de carbono atmosférico nos anos de 2014 e 2016 e a dinâmica do balanço de carbono está associada à sazonalidade das chuvas.
Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: A study in the Brazilian semiarid region Thomás R. Ferreira, Mitchell S. Maguire, Bernardo B. da Silva, Christopher M.U. Neale, Edivaldo A.O. Serrão, Jéssica D. Ferreira, Magna S.B. de Moura, Carlos A.C. dos Santos, Madson T. Silva, Lineu N. Rodrigues, Herica F.S. Carvalho Agricultural Water Management, 2023 Assessment of irrigation in arid and semiarid regions is imperative to ensure the sustainable use of limited water resources and guarantee food production. Therefore, this study aimed to assess actual evapotranspiration – ETa derived from the Surface Energy Balance Algorithm for Land – SEBAL model with and without satellite image fusion as input of a soil water balance in a pilot area of sugarcane in the semiarid region of Brazil. A fusion of Landsat sensors’ and Moderate Resolution Imaging Spectroradiometer – MODIS’ images was completed through a Spatial and Temporal Adaptive Reflectance Fusion Model – STARFM script developed using cloud computing, and its performance in estimating key variables for the radiation balance was evaluated. ETa and irrigation were daily estimated between June, 2015 and May, 2016 by combining STARFM with SEBAL and evaluated according to the Bowen ratio technique and irrigation data. In addition, one-minute surface meteorological elements at the satellite overpass times were used. STARFM performed well with RMSE of 17.00 W m−2, 2.28 K, 0.07, and 0.01 for Rn, Ts, NDVI, and albedo, respectively. The metrics employed to evaluate ETa estimates indicated that the SEBAL+STARFM has low mean errors (PBIAS = −2.75% and RMSE = 0.97 mm d−1 and 16.66 mm month−1) and high coefficient of determination (0.87 for daily ETa–ET24, and 0.91 for monthly ETa), in comparison with SEBAL using Landsat-only images (PBIAS = −5.25%, RMSE = 0.97 mm d−1 and 17.66 mm month−1, r² = 0.92). Adding fused images resulted in a better fit of the estimated cumulative ET24 curve to the measured ET24. The water balance indicated that the cultivated cane suffered water stress, which was better represented by estimates using the ET24 curve with the addition of fused images than Landsat images alone. Although this increase in temporal resolution of the estimated ET24 data indicated a greater water consumption, it informs a quantity that would be sufficient to meet the water demand of the crops.
Daily Net Radiation Over Different Land Cover Classes in Lagoa da Conceição Watershed, Florianópolis, Brazil Proceedings of the Brazilian Symposium on Geoinformatics, 2023
Sensitivity of Land Surface Temperature to Emissivity Retrieved from Landsat 8 Data Proceedings of the Brazilian Symposium on Geoinformatics, 2023
Remote Sensing Phenology of the Brazilian Caatinga and Its Environmental Drivers Rodolpho Medeiros, João Andrade, Desirée Ramos, Magna Moura, Aldrin Pérez-Marin, Carlos dos Santos, Bernardo da Silva, John Cunha Remote Sensing, 2022 The Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in the Neotropics. The leafing patterns of SDTF vegetation are adapted to the current environmental and climate variability, but the impacts of climate change tend to alter plants’ phenology. Thus, it is necessary to characterise phenological parameters and evaluate the relationship between vegetation and environmental drivers. From this information, it is possible to identify the dominant forces in the environment that trigger the phenological dynamics of the Caatinga. In this way, remote sensing represents an essential tool to investigate the phenology of vegetation, particularly as it has a long series of vegetation monitoring and allows relationships with different environmental drivers. This study has two objectives: (i) estimate phenological parameters using an Enhanced Vegetation Index (EVI) time-series over 20 years, and (ii) characterise the relationship between phenologic dynamics and environmental drivers. TIMESAT software was used to determine four phenological parameters: Start Of Season (SOS), End Of Season (EOS), Length Of Season (LOS), and Amplitude (AMPL). Boxplots, Pearson’s, and partial correlation coefficients defined relationships between phenologic dynamics and environmental drivers. The non-parametric test of Fligner–Killeen was used to test the interannual variability in SOS and EOS. Our results show that the seasonality of vegetation growth in the Caatinga was different in the three experimental sites. The SOS was the parameter that presented the greatest variability in the days of the year (DOY), reaching a variation of 117 days. The sites with the highest SOS variability are the same ones that showed the lowest EOS variation. In addition, the values of LOS and AMPL are directly linked to the annual distribution of rainfall, and the longer the rainy season, the greater their values are. The variability of the natural cycles of the environmental drivers that regulate the ecosystem’s phenology and the influence on the Caatinga’s natural dynamics indicated a greater sensitivity of the phenologic dynamics to water availability, with precipitation being the limiting factor of the phenologic dynamics. Highlights: The EVI time series was efficient in estimating phenological parameters. The high variability of the start of season (SOS) occurred in sites with low variability of end of the season (EOS) and vice versa. The precipitation and water deficit presented a higher correlation coefficient with phenological dynamics. Length of Season (LOS) and amplitude (AMPL) are directly linked to the annual distribution of rainfall.
ESTIMATION OF THE RADIATION BALANCE OF IRRIGATED AÇAÍ THROUGH REMOTE SENSING IN EAST AMAZONIA EWELYN REGINA ROCHA SILVA, DENILSON BARRETO DA LUZ, DENIS DE PINHO SOUSA, LUCAS BELÉM TAVARES, BERNARDO BARBOSA DA SILVA, PAULO JORGE DE OLIVEIRA PONTE DE SOUZA Irriga, 2021 ESTIMATIVA DO SALDO DE RADIAÇÃO DO AÇAÍ IRRIGADO POR MEIO DE SENSORIAMENTO REMOTO NO LESTE DA AMAZÔNIA EWELYN REGINA ROCHA SILVA 1; DENILSON BARRETO DA LUZ2; DENIS DE PINHO SOUSA3; LUCAS BELÉM TAVARES4; BERNARDO BARBOSA DA SILVA5 E PAULO JORGE DE OLIVEIRA PONTE DE SOUZA6 1 Mestre em Agronomia pelo programa de Pós-Graduação em Agronomia – PgAgro, Universidade Federal Rural da Amazônia, Av. Presidente Tancredo Neves, 2501, Terra Firme, 66077-830, Belém, Pará, Brasil, ewelynrocha@gmail.com. 2 Graduando em Agronomia, Laboratório de Agrometeorologia, Universidade Federal Rural da Amazônia, Av. Presidente Tancredo Neves, 2501, Terra Firme, 66077-830, Belém, Pará, Brasil, denilsong97@gmail.com. 3 Engenheiro Agrônomo, Doutor em Agronomia, Fiscal de Meio Ambiente na Secretaria de Estado de Meio Ambiente e Sustentabilidade do Pará, Rua do Utinga, n° 717, bairro Curió Utinga, CEP: 66610-010, Belém, PA, Brasil, denisdepinho@agronomo.eng.br. 4 Mestrando no programa de Pós-Graduação em Ciências Florestais, Universidade Federal Rural da Amazônia, Av. Presidente Tancredo Neves, 2501, Terra Firme, 66077-830, Belém, Pará, Brasil, lucas.belem.tavares@gmail.com. 5 Centro de Tecnologia e Recursos Naturais, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Campina Grande, 58429-900, Campina Grande, Paraíba, Brasil, bernardo.silva@ufcg.edu.br. 6 Instituto Socioambiental e dos Recursos Hídricos, Laboratório de Agrometeorologia, professor no programa de Pós-Graduação em Agronomia, Universidade Federal Rural da Amazônia, Av. Presidente Tancredo Neves, 2501, Terra Firme, 66077-830, Belém, Pará, Brasil, paulo.jorge@ufra.edu.br. 1 RESUMO Muitas áreas na Amazônia foram modificadas, alterando as trocas energéticas neste ambiente. Essa mudança é uma das responsáveis pelas variações no saldo de radiação (Rn), pois afetam a troca de energia entre a superfície e a atmosfera. O objetivo foi estimar o Rn em uma área de açaí irrigado na Amazônia Oriental. Foram utilizadas imagens do satélite Landsat 8, do dia sequencial do ano (DSA) 151/2018 e DSA 241/2019, referente às órbitas/pontos 222/61 e 223/61, respectivamente. O Rn foi obtido por meio do algoritmo Surface Energy Balance Algorithm for Land – SEBAL, que se fundamenta na radiância dos canais reflexivos e termal do sensor. Os resultados (sensor x superfície) mostraram-se satisfatórios com valores de erro absoluto médio (EAM) iguais a 4,92 W/m2 e 15,66 W/m2, erro relativo médio (ERM) iguais a 0,98 % e 3,4 % para DSA 151 e o DSA 241, respectivamente. Observou-se a capacidade do SEBAL em diferenciar tipos de coberturas do solo, o que proporcionou elaborar a distribuição espacial do Rn na cena analisada e no plantio de açaí, demostrando assim, a sensibilidade do modelo e a importância da variabilidade espacial existente na área, essas informações podem auxiliar as tomadas de decisões quanto ao manejo de irrigação. Keywords: sebal, variabilidade espacial, landsat 8. SILVA, E. R. R.; LUZ, D. B.; SOUSA; D. P.; TAVARES, L.B. SILVA, B. B.; SOUZA, P. J. O. P. ESTIMATION OF THE RADIATION BALANCE OF IRRIGATED AÇAÍ THROUGH REMOTE SENSING IN EAST AMAZONIA 2 ABSTRACT Many areas in the Amazon have been modified, altering the energy exchanges in this environment. This change is a factor responsible for variations in the radiation balance (Rn), as they affect the energy exchange between the surface and the atmosphere. The objective was to estimate the Rn in an açaí irrigated area in Eastern Amazon. Landsat 8 satellite images of the sequential day of the year (DSA) 151/2018 and DSA 241/2019, referring to orbits/points: 222/61 and 223/61, respectively, were used. The Rn was obtained through the Surface Energy Balance Algorithm for Land - SEBAL algorithm, which is based on the radiance of the reflective and thermal bands of the sensor. The results (sensor x surface) were satisfactory with mean absolute error (EAM) values equal to 4.92 W/m2 and 15.66 W/m2, mean relative error (ERM) equal to 0.98% and 3.4% for DSA 151 and DSA 241, respectively. SEBAL's ability to differentiate types of land cover was observed, which provided the elaboration of the spatial distribution of Rn in the analyzed scene and in the açaí planting, so demonstrating the sensitivity of the model and the importance of spatial variability in the area, this information can help in decision-making regarding irrigation management. Keywords: sebal, spatial variability, landsat 8.
Analysis of net radiation in Atlantic forest affected with anthropic intervention, in São Paulo, Brazil Argemiro José Moreno Arteaga, Manoel Mariano Neto da Silva, Gabriel Vidal Mota, Salmi Lizzeth Tapia Aguirre, Bernardo Barbosa da Silva Investigaciones Geograficas, 2021 Los ecosistemas forestales, como el bosque atlántico en América del sur, han sido removidos para dar lugar a actividades agropecuarias y asentamiento humanos. Tal situación estaría ocasionando cambios en la absorción de la energía solar en la superficie terrestre, lo que modifica el consumo de radiación neta, que, a su vez, puede influir en la temperatura del aire. Por consiguiente, esta investigación tuvo como objetivo evaluar las alteraciones de la radiación neta en la cuenca hidrográfica de Sorocaba, para analizar cómo el cambio de bosque atlántico por áreas agropecuarias y construcciones antrópicas impacta en la radiación neta y la repercusión que podría estar ocasionando en la regulación del clima local. Para esto fue determinado el balance de radiación en la cuenca y sus componentes biofísicos (NDVI, temperatura superficial, albedo y radiación emitida), por medio del modelo SEBAL, utilizando imágenes OLI/TIRS–Landsat 8 y ASTER(GDEM). Los resultados revelaron que las zonas construidas, seguidas por las agropecuarias, en comparación con la de bosque atlántico, presentan valores de albedo y temperatura superficial superiores, y, consecuentemente, mayores flujos de calor emitido a la atmósfera en forma de radiación infrarroja. Por consiguiente, se generó menores consumo de radiación neta, cuya media para las áreas boscosas, agrícolas, con pastos, suelos desnudos y construidas fue de 712,40Wm-2, 669,40Wm-2, 629,90Wm-2, 616,60Wm-2 y 524,40Wm-2, respectivamente. Así, la deforestación en la cuenca ocasionó que disminuyera la radiación neta y se emita más calor a la atmósfera, lo que favorece el efecto invernadero (principal causante del calentamiento global), en detrimento de poder regular la temperatura del aire.
Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil Carlos A.C. dos Santos, Denis A. Mariano, Francisco das Chagas A. do Nascimento, Fabiane Regina da C. Dantas, Gabriel de Oliveira, Madson T. Silva, Lindenberg L. da Silva, Bernardo B. da Silva, Bergson G. Bezerra, Babak Safa, Salomão de S. Medeiros, Christopher M.U. Neale International Journal of Applied Earth Observation and Geoinformation, 2020
Estimation of soil moisture in the root-zone from remote sensing data Bergson Guedes Bezerra, Carlos Antonio Costa dos Santos, Bernardo Barbosa da Silva, Aldrin Martin Perez-Marin, Marcus Vinícius Cândido Bezerra, José Renato Cortez Bezerra, Tantravahi Venkata Ramana Rao Revista Brasileira De Ciencia do Solo, 2013
Simulation of net radiation in the Mantiqueira mountain Pabricio M. O. Lopes, Dalton M. Valeriano, Bernardo B. da Silva, Geber B. de A. Moura, Alexsandro O. da Silva Revista Brasileira De Engenharia Agricola E Ambiental, 2013
Relationship between vegetation indices and canopy chlorophyll in GPP estimation American Society of Agricultural and Biological Engineers Annual International Meeting 2012 Asabe 2012, 2012
Gross primary production using related vegetation indices American Society of Agricultural and Biological Engineers Annual International Meeting 2012 Asabe 2012, 2012
Radiation balance in São Gonçalo irrigated project using satelitte images Revista Caatinga, 2011
Energy fluxes and development of pineapple crop Cleber B. de Souza, Bernardo B. da Silva, Pedro V. de Azevedo, Vicente de P. R. da Silva Revista Brasileira De Engenharia Agricola E Ambiental, 2008
Diurnal and seasonal variation of CWSI with cotton in northeast of Brazil Paper American Society of Agricultural Engineers, 1997
Energy balance in a vineyard field under seriarid condition in northeast of Brazil Paper American Society of Agricultural Engineers, 1997
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MOST CITED SCHOLAR PUBLICATIONS
Procedures for calculation of the albedo with OLI-Landsat 8 images: Application to the Brazilian semi-arid BB Silva, AC Braga, CC Braga, LMM de Oliveira, SMGL Montenegro, ... Revista Brasileira de Engenharia Agrícola e Ambiental 20, 3-8 , 2016 2016 Citations: 197
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Balanço de radiação em áreas irrigadas utilizando imagens Landsat 5-TM BB Da Silva, GM Lopes, PV De Azevedo Revista Brasileira de Meteorologia 20 (2), 243-252 , 2005 2005 Citations: 196
Trends in indices for extremes in daily temperature and precipitation over Utah, USA CAC Dos Santos, CMU Neale, TVR Rao, BB Da Silva International Journal of Climatology 31 (12), 1813 , 2011 2011 Citations: 151
Determinação do albedo de áreas irrigadas com base em imagens Landsat 5-TM BB Silva, GM Lopes, PV Azevedo Revista Brasileira de Agrometeorologia 13 (2), 201-211 , 2005 2005 Citations: 131
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Parâmetros biofísicos obtidos por sensoriamento remoto em região semiárida do estado do Rio Grande do Norte, Brasil JM Bezerra, GBA Moura, BB Silva, PMO Lopes, ÊFF Silva Revista Brasileira de Engenharia Agrícola e Ambiental 18, 73-84 , 2014 2014 Citations: 91
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Desenvolvimento de um sistema de estimativa da evapotranspiração de referência VPR Silva, AF Belo Filho, BB Silva, JHBC Campos Revista Brasileira de Engenharia Agrícola e Ambiental 9 (4), 547-553 , 2005 2005 Citations: 67
Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil CAC dos Santos, DA Mariano, A Francisco das Chagas, FRC Dantas, ... International Journal of Applied Earth Observation and Geoinformation 85, 101982 , 2020 2020 Citations: 65
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Potencial eólico na direção predominante do vento no Nordeste brasileiro BB Silva, JJA Alves, EP Cavalcanti, RT Dantas Revista brasileira de engenharia agrícola e ambiental 6, 431-439 , 2002 2002 Citations: 65
The CWSI variations of a cotton crop in a semi-arid region of Northeast Brazil BB Da Silva, TVR Rao Journal of Arid Environments 62 (4), 649-659 , 2005 2005 Citations: 64