ESTIMATIVA DO SALDO DE RADIAÇÃO DO AÇAÍ IRRIGADO POR MEIO DE SENSORIAMENTO REMOTO NO LESTE DA AMAZÔNIA Article Swipe
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
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.15809/irriga.2021v26n3p664-683
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.15809/irriga.2021v26n3p664-683
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, [email protected]. 2 Graduando em Agronomia, Laboratório de Agrometeorologia, Universidade Federal Rural da Amazônia, Av. Presidente Tancredo Neves, 2501, Terra Firme, 66077-830, Belém, Pará, Brasil, [email protected]. 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, [email protected]. 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, [email protected]. 5 Centro de Tecnologia e Recursos Naturais, Universidade Federal de Campina Grande, Rua Aprígio Veloso, 882, Campina Grande, 58429-900, Campina Grande, Paraíba, Brasil, [email protected]. 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, [email protected]. 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.
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- https://revistas.fca.unesp.br/index.php/irriga/article/download/4447/3128
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ESTIMATIVA DO SALDO DE RADIAÇÃO DO AÇAÍ IRRIGADO POR MEIO DE SENSORIAMENTO REMOTO NO LESTE DA AMAZÔNIAWork title
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articleOpenAlex work type
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ptPrimary language
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2021Year of publication
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2021-11-18Full publication date if available
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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 SouzaList of authors in order
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https://doi.org/10.15809/irriga.2021v26n3p664-683Publisher landing page
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| abstract_inverted_index.environment. | 476 |
| abstract_inverted_index.importância | 400 |
| abstract_inverted_index.irrigação. | 419 |
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| abstract_inverted_index.respectivamente. | 294, 362 |
| abstract_inverted_index.Agrometeorologia, | 80, 192 |
| [email protected]. | 97 |
| [email protected]. | 73 |
| [email protected]. | 216 |
| [email protected]. | 182 |
| [email protected]. | 132 |
| [email protected]. | 158 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5061397952 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I3130823459 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.35384338 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |