Avaliação Do Desempenho De Três Algoritmos Na Classificação De Uso Do Solo a Partir De Geotecnologias Gratuitas

Duarte, Miqueias Lima; Silva, Tatiana Acácio da

doi:10.7867/1983-1501.2019v21n1p6-16

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…When comparing the means of each agrometeorological variable, between the harvest years and through the Z test, only rainfall in the 1aMVDD1d ten-day interval was statistically equal in the two harvest years (5% significance) (Table 1). This difference between the harvest years also occurred when the maps generated for each variable under study (Figures 6 and 7); and by similarity measures of Global Accuracy, Kappa and Tau concordance indexes (Table 2), only rainfall in the two ten-day intervals showed similarities between the harvest year maps (Duarte & Silva, 2019).…”

Section: Descriptive and Spatial Analysis Of Soybean Productivity And Agrometeorological Variablesmentioning

confidence: 69%

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Soybean Productivity and Agrometeorological Variables Assessed from the perspective of Spatial and Circular Statistics

Silva

Gasparin

Paludo

et al. 2021

JAS

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Climate change can affect the development of soybean cultivation, impacting your productivity. Thus, agrometeorological information is essential in order to improve productivity strategies. The objective of the paper was to analyze the influence and occurrence of seasonality of the following agrometeorological variables on soybean productivity: mean air temperature [TMean] (ºC), accumulated rainfall value [Rain] (mm), global solar radiation [Sr] (MJ m-2 day-1), and potential evapotranspiration [ETp] (mm), in ten-day variations of the the maximum vegetative development date (MVDD), in the 2011/2012 and 2013/2014 harvest years in the state of Paraná. The study was based on spatial distribution of variables, using univariate and bivariate Global Moran’s Indexes, and multivariate clustering analysis. To verify seasonality in the time distribution of the agrometeorological variables in the ten-day variations close to soybean MVDD, we used the circular statistics, through the mean vector length (R). Result it was identified regions of the state that have higher and lower rainfall and seasonality, also have higher and lowest productivity, respectively. That the variation in soybean productivity between harvest years was correlated with the agrometeorological variables, and rainfall volume is an important factor in productivity. The other agrometeorological variables occurred uniformly, especially in 2011/2012 harvest year, in the Northwest, Central-northern and West mesoregions. Furthermore, there was clustering of regions with similar spatial distribution of the evapotranspiration and rainfall variables in 2aDMDV2d in the 2011/2012 and 2013/2014 harvest year, showed the same spatial distribution of the agrometeorological variables and the productivity variable.

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Section: Descriptive and Spatial Analysis Of Soybean Productivity And Agrometeorological Variablesmentioning

confidence: 69%

“…The spatial distribution of the productivity and agrometeorological variables in the state of Paraná was analyzed by comparing the maps of the two harvest years, using similarity measures of Global Accuracy (GA), Kappa (K) and Tau (T) (Duarte & Silva, 2019).…”

Section: Spatial Statisticsmentioning

confidence: 99%

Soybean Productivity and Agrometeorological Variables Assessed from the perspective of Spatial and Circular Statistics

Silva

Gasparin

Paludo

et al. 2021

JAS

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“…For noise elimination and image smoothing, the Majority parameters 3 × 3 filter was applied (Vasconcelos et al, 2016). Then, the classification was edited through visual interpretation according to the spectral behavior of each pixel (Duarte & Silva, 2019). After, the file was transformed into a vector file (shapefile) and quantified, generating tabulated data.…”

Section: Study Areamentioning

confidence: 99%

“…A work of soil genesis with flooding cycles has shown that high acidity has been observed in superficial horizons in lowland soils due to ferrolysis (Barbiero et al, 2010;Coringa et al, 2012;Da Silva et al, 2019). Studies in Gleisoil under native vegetation on the banks of the Guamá River attested acid pH in water and KCl associated with the alternation between flood and ebb tide (Lopes et al, 2006).…”

Section: Classification Of the Island Soilmentioning

confidence: 99%

Mapping and Environmental Diagnosis in Native Acai Areas in the Amazon

Soares¹,

Lima²,

Araújo³

et al. 2021

JAS

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For several decades, the Acai orchards (acaizais) have directly influenced the survival of the families in the Amazonian floodplains. In this period, the production of the Acai fruit for local consumption was ceased and became an export item produced in intensive management, resulting in an increase in orchards in the floodplains and the emergence of dryland plantations, no longer representing a typical extractive activity in the Amazon. The objective of this study was to map the classes of use and coverage, and the occurrences of the Acai orchards massifs, as well as to analyze the physical and chemical parameters of five islands in the municipality of Igarapé-Miri, State of Pará, Brazil, where there is a great occurrence of productive Acai orchards. This work evaluated the following islands: Jarimbu, Mamangal, Itaboca, Mutirão, and Buçu, where geolocalized collections were carried out in the areas with the highest occurrence of Acai orchards, both to assist in the classification of images and for soil sampling. August 2019 Planet images were processed using the unsupervised method, where seven classes of cover use were obtained: hydrography, exposed soil, urban, alluvial, lowland, arboreal, and agriculture areas. Therefore, occurrences of productive orchards were identified and correlated to the good attributes of soil fertility in the floodplains under continuous flooding and sedimentation. The correlation confirmed the higher productivity of Acai in the Alluvial and Lowland classes, which predominate in the evaluated area, presenting soils considered fertile with a loam-clay-silty and loam -silty texture, high base saturation (greater than 50%), high organic matter content, and significant presence of potassium and phosphorus.

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“…Nesse sentido, o uso do Sensoriamento Remoto tem se tornado mais frequente, posto que é um dos recursos tecnológicos mais eficaz e viável para estabelecer um estudo e controle de áreas extensas como as bacias hidrográficas, uma vez que essa ferramenta possibilita obter dados e detectar as modificações ocorridas na superfície do solo, isto é, na paisagem ao longo do tempo (DUARTE & SILVA, 2019;CHOWDHURY et al, 2020). Tais recursos tecnológicos são muito utilizados no estudo do uso e ocupação do solo, visto que possibilitam fazer um levantamento do avanço do desmatamento, da agricultura, assim como da área urbana, além de propiciarem a construção de cenários sobre os usos futuros (EL-TANTAWI et al, 2019;ULLAH et al, 2019).…”

Section: Introductionunclassified

Dinâmica Do Uso E Ocupação Do Solo Na Bacia Hidrográfica Do Rio Pimenta, Região Sudeste Do Estado De Rondônia: Avaliação E Cenários Futuros

Duarte

Mendonça

Bonfanti

2021

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Compreender as modificações no uso e ocupação do solo e as demandas sociais relacionadas é de grande valia, pois permite o ordenamento territorial e o desenvolvimento de políticas públicas de forma mais adequada. Nesse sentido, este estudo avaliou as mudanças no uso e ocupação do solo na bacia hidrográfica do rio Pimenta, entre as décadas de 1990 e 2019, além disso, realizou-se uma simulação para cenários futuros. O uso do solo foi avaliado entre os anos de 1990, 2000, 2010 e 2019, em seguida, com base na matriz de transição histórica, foram elaborados cenários futuros para 2030 e 2040. Os resultados obtidos mostraram grandes perdas de áreas de floresta, principalmente, na primeira década, para a implementação de pastagens, seguidas pela agricultura. No cenário futuro, o modelo indicou que mais de 809,83 km² da vegetação florestal serão removidos até 2040 para o estabelecimento de práticas agropecuárias pouco produtivas.

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Avaliação Do Desempenho De Três Algoritmos Na Classificação De Uso Do Solo a Partir De Geotecnologias Gratuitas

Cited by 8 publications

References 5 publications

Soybean Productivity and Agrometeorological Variables Assessed from the perspective of Spatial and Circular Statistics

Soybean Productivity and Agrometeorological Variables Assessed from the perspective of Spatial and Circular Statistics

Mapping and Environmental Diagnosis in Native Acai Areas in the Amazon

Dinâmica Do Uso E Ocupação Do Solo Na Bacia Hidrográfica Do Rio Pimenta, Região Sudeste Do Estado De Rondônia: Avaliação E Cenários Futuros

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