Mapeamento multicategórico do uso/cobertura da terra em escalas detalhadas usando Semi-automatic Classification Plugin

Pereira, Luís Flávio; Guimarães, Ricardo Morato Fiúza

doi:10.24221/jeap.3.4.2018.2016.379-385

Cited by 5 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The large area of the Cajuri city occupied with pasture reaffirms the importance of dairy farming in the municipality's economy, as highlighted by Fialho et al (2016), by Freitas et al (2018) and by Pereira et al (2018). These results and the presented by IBGE CA a (2021) show an increase of 54.2% in the Cajuri pasture areas in the last 14 years.…”

Section: Discussionsupporting

confidence: 55%

“…Tomato is the most prominent horticulture in the city and has great collaboration with family farming (Pereira et al, 2018, Ridolfi et al, 2018. EMATER (2019) and EMATER (2020) observed an increase of 8.33% in tomato production in Cajuri between 2018 and 2019 (production of 2,400 tons in 2018 and 2,600 tons in 2019) and data from the Municipal Agricultural Plan 2019 (IBGE PAM, 2019) show that Cajuri has the second largest planted area among the neighboring cities (São Miguel do Anta has 7 ha, Viçosa has 12 ha, Cajuri has 35 ha and Coimbra with 65 ha) and the lowest tomato productivity (Cajuri with 60 ton.ha -1 , São Miguel do Anta with 65 ton.ha -1 , Coimbra with 70 ton.ha -1 and Viçosa with 75 ton.ha -1 ).…”

Section: Discussionmentioning

confidence: 99%

“…Vector data of the limits of the Cajuri city, obtained on the website of the Brazilian Institute of Geography and Statistics, and the digital image of the Sentinel-2A satellite, Multi-Spectral sensor (MSI) and dated June 12, 2020, were used for the current mapping of land use. Free access, the 10 meter of spatial resolution and the papers carried out by Borges et al (2017) and Pereira and Guimarães (2018) motivated the adoption of this digital scene in this survey.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Landscape dynamics of the Cajuri city, Minas Gerais, Brazil

Rosa

Oliveira

Ribeiro

2021

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

The present paper aimed to evaluate the landscape dynamics of the city of Cajuri, Minas Gerais, Brazil. For this, a digital image of the Sentinel-2A satellite, dated June 2020, was classified to map the current land use in the municipality and the areas of pasture, native forest, annual and perennial crops, coffee and urban extension were quantified. The data collected were compared with historical records made available by public sectors for the analysis of the dynamics of land use. Pastures (35.24%) and native forests (28.74%) occupy 63.98% of the territory of Cajuri. Part of the agricultural activities are in the environmental areas and require attention for the sustainability of the practices. Except for the urban area, all classes mapped have increased their occupation areas recently and in succession mainly to the citrus areas. The information presented can be used to assist in decision making, planning and strategic studies in the city.

show abstract

Section: Discussionsupporting

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Landscape dynamics of the Cajuri city, Minas Gerais, Brazil

Rosa

Oliveira

Ribeiro

2021

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

show abstract

“…Este estudo apresentado condiz com Pereira & Guimarães (2018), ocasião em que aplicaram o mapeamento multicategórico do uso/cobertura da terra em escalas detalhadas usando o Classificador SCP. Foi averiguado que o índice Kappa, calculado com base numa classificação com o algoritmo Distância Mínima, alcançou o valor de 0,724; sendo este próximo aos valores encontrados nos anos de 2014 (0,78); 2017 (0,75) e 2019 (0,78), evidenciados na Tabela 4.…”

Section: Resultsunclassified

Geotecnologia para Caracterização do Albedo e Temperatura da Superfície no Sertão de Pernambuco, Brasil

Lima¹,

Oliveira²,

Farias³

et al. 2021

Anu. Inst. Geoc.

View full text Add to dashboard Cite

ResumoO Sensoriamento Remoto é a ferramenta que viabiliza o monitoramento das feições terrestre por meio de sensores a bordo de satélites, possibilitando uma análise holística e de baixo custo de grandes áreas da superfície terrestre. O presente trabalho analisou o comportamento espaço temporal no período de 1999 a 2019, de corpos hídricos, áreas irrigadas, vegetações e área urbana do município de Petrolina -Pernambuco, a partir do albedo e temperatura da superfície obtidos com dados orbitais dos satélites Landsat 5 e 8. Na análise comparativa dos dados, o albedo e a temperatura da superfície foram confrontados com a ocorrência dos dados pluviométricos e a classificação SCP (Semi-automatic Classificator Plugin) se mostrou uma ferramenta eficaz para a observação do desenvolvimento antrópico correspondente a urbanização. Os resultados evidenciaram que a temperatura da superfície apresentou em 2017, ano mais seco, valor máximo de 37ºC, e a ocorrência de pixels com temperaturas superiores a 30ºC foi observada em quase toda a área estudada; nos outros anos, foi factível observar o avanço das altas temperaturas da superfície de maneira menos abrangente. Em 2019, as maiores temperaturas da superfície concentraram-se nas áreas antropizadas que circundavam a malha urbana de Petrolina.

show abstract

“…Esse sensor é caracterizado por uma resolução espacial de 10 metros, com altitude média de 786 km e 290 km de faixa de imageamento. A utilização de imagens MSI/Sentinel 2A já foi explorada para classificação de uso e cobertura do solo por diveros autores (Silva et al, 2017;SilveirA, 2018;Rosa, 2018;Guimarães, 2018;Santos et al, 2018;Rosa et al, 2019).…”

Section: Uso E Cobertura Do Solounclassified

Escoamento superficial na área convergente aos lagos Bolonha e Água Preta em Belém e Ananindeua, Pará

Castro

Rodrigues

Filho

2020

RSD

View full text Add to dashboard Cite

This study aims to estimate the surface runoff coefficient in the drainage area of the Bolonha and Água Preta lakes located in the municipalities of Belém and Ananindeua, State of Pará. To do so, we initially used images from a Digital Elevation Model (MDE). Shuttle Radar Topography Mission (SRTM); With the aid of ArcGIS® 10.5 geoprocessing software, the areas were quantified and the land use and occupation classification was performed. Thus, the runoff coefficient was estimated by values found in the literature and by the NRCS method, using as basis a local equation of heavy rainfall and Curve Number (CN) values for the discrimination of the areas in 2018. Therefore, this The results of the research, by the NRCS method, C values ranging from 0.169 to 0.321 were reached, depending on the return period of the local precipitation in a range from 1 to 150 years. The drainage area of the lakes Bologna and Água Preta has good infiltration, characteristic of rural areas, although it has 28.8% of already urbanized area. In conclusion, this work provides the academic environment with the updating of the Bologna and Água Preta lakes drainage sub-basin as a convergent drainage area, aiming to serve as a database and information for future academic works.

show abstract

Mapeamento multicategórico do uso/cobertura da terra em escalas detalhadas usando Semi-automatic Classification Plugin

Cited by 5 publications

References 12 publications

Landscape dynamics of the Cajuri city, Minas Gerais, Brazil

Landscape dynamics of the Cajuri city, Minas Gerais, Brazil

Geotecnologia para Caracterização do Albedo e Temperatura da Superfície no Sertão de Pernambuco, Brasil

Escoamento superficial na área convergente aos lagos Bolonha e Água Preta em Belém e Ananindeua, Pará

Contact Info

Product

Resources

About