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Dive into the research topics where Ana Paula Barbosa is active.

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Featured researches published by Ana Paula Barbosa.


Computers and Electronics in Agriculture | 2015

Estimation of croplands using indicator kriging and fuzzy classification

Alessandra Fagioli da Silva; Ana Paula Barbosa; Célia Regina Lopes Zimback; Paulo Milton Barbosa Landim; Amílcar Soares

Indicator kriging classifier confused citrus with native vegetation.Fuzzy classifier confused citrus with forest regeneration.The citrus crops exhibited a larger range using the indicator kriging method.The multispectral bands showed spatial dependence for both citrus and sugarcane.Fuzzy is a potential method to distinguish citrus crop in mid-resolution image. The knowledge of the land use is important for the agricultural economy and for defining the deployment of new crops. Thus, a tool for the mapping and quantification of crops is necessary. The development of a tool is possible with the use of remote-sensing images and efficient algorithm classifiers. The objective of this study was to verify the accuracies of indicator kriging and fuzzy classification as supervised classifiers in identifying sugarcane and citrus crops, which are more cultivated in Sao Paulo, Brazil. The investigated area was located on the border of the municipalities of Sao Manuel and Botucatu, Sao Paulo State, Brazil. We used digital images from satellite IRS-P6 (ResourceSat-1; path/row 329/94, January 29, 2011) with a spatial resolution of 23.5m. In the pre-processing phase, images were prepared for classification using several techniques, such as enhancement, geometric rectification and registration and reduction of dimensionality. In the process of image classification for citrus and sugarcane areas, two methods of classification were utilized, namely indicator kriging (IK) and fuzzy classification, and compared to the visual classification, which was assumed to reflect the reality on the ground (citrus, sugarcane, native vegetation, forest regeneration, soil and water). The classifications were made based on bands 2, 3, 4 and 5 and were evaluated using the kappa index. From the results of the classification of the pictures used for the discrimination and quantification of areas cultivated with citrus and sugarcane, the following conclusions can be drawn: the multispectral bands showed spatial dependence for both citrus and sugarcane, whereas a comparison of the maps revealed that the IK classifier confused citrus with areas of vegetation, and the fuzzy classifier confused citrus with forest regeneration; the IK classifier overestimated the areas of sugarcane crops, whereas the fuzzy classifier underestimated these areas. Based on the kappa index, band 2 (0.52-0.59µm) better represented the citrus and sugarcane areas, whereas band 5 (1.55-1.70µm) had the worst classification for both the IK and fuzzy algorithms. Citrus crop were best identified using the fuzzy classifier, and the sugarcane crop was best identified using the IK classifier.


Engenharia Agricola | 2013

Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus

Alessandra Fagioli da Silva; Ana Paula Barbosa; Célia Regina Lopes Zimback; Paulo Milton Barbosa Landim

O objetivo deste trabalho foi comparar a precisao de metodos de classificacao de imagens orbitais na determinacao de areas cultivadas com citros, por metodos de sensoriamento remoto e de geoestatistica. A area de estudo utilizada nesta pesquisa esta localizada na cidade de Araraquara, regiao central do Estado de Sao Paulo, com 5.296,52 ha. Foi utilizada a imagem multiespectral do satelite CCD/CBERS 2B, adquirida em 2009 e processada no Sistema de Informacoes Geograficas (SIG) SPRING. Tres metodos de classificacao foram utilizados, sendo um nao supervisionado (Cluster) e dois supervisionados (Krigagem Indicativa/KI e Maxima verossimilhanca/Maxver), alem da classificacao em tela tida como verdade terrestre. A fidedignidade das classificacoes foi avaliada pelo indice Kappa. A Krigagem Indicativa foi o metodo que melhor classificou as areas de citros na banda 4, com forte grau de concordância, conforme a estatistica kappa, para as bandas 2 e 4. Pela validacao, o Cluster para a banda 2 (verde) foi o classificador que obteve a melhor qualidade. A Krigagem Indicativa foi o classificador que apresentou area total de citros mais proxima da verdade terrestre em -3,01%, enquanto o Maxver foi o classificador que mais superestimou a area total de citros em 42,94 %.


Revista Brasileira de Engenharia Agricola e Ambiental | 2012

Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas

Ana Paula Barbosa; Alessandra Fagioli da Silva; Célia Regina Lopes Zimback

The digital elevation model is important to determine the slope and land use capability, therefore, a proposal of methodology for acquisition of elevation data contemplating an efficient algorithm to generate a slope map was developed. Thus, it was aimed to obtain and evaluate a digital elevation model without the vetorization of the contours on planialtimetric charts. The area for acquisition of elevation data was Sao Manuel, SP. The data were collected by two methods: level contour vetorization and the gathering of elevation points on the level contour with maximum elevation points. The elevation data were analyzed by geostatistical techniques. Inspite of wide difference in the number of collected points between two methods, the variograms were adjusted to the exponential model and showed a range of approximately 1500 m, which does not justify the wide difficulty in vetorization of the planialtimetric charts, once the data points collected in the area were appropriately distributed, they represented rightly the terrain surface


ENERGIA NA AGRICULTURA | 2014

ANÁLISE MULTIVARIADA NA DIFERENCIAÇÃO ENTRE MANEJOS DO SOLO CULTIVADO COM CAFÉ

Alessandra Fagioli da Silva; Ana Paula Barbosa; Célia Regina Lopes Zimback; Julião Soares de Souza Lima; Paulo Milton Barbosa Landim


ENERGIA NA AGRICULTURA | 2011

COMPARAÇÃO DE MÉTODOS DE CLASSIFICAÇÃO DE IMAGENS NA IDENTIFICAÇÃO DE ÁREAS CULTIVADAS COM CITROS

Ana Paula Barbosa; Sérgio Campos; Célia Regina Lopes Zimback; Zacarias Barros Xavier


Acta Agronómica | 2011

Capacidad de uso de la tierra en la cuenca de la Corriente del Lobo, Itatinga, São Paulo, Brasil

Sérgio Campos; Ana Paula Barbosa; Zacarias Xavier de Barros; Lincoln Gehring Cardoso; Ellen Fittipaldi Brasílio Carrega


II Seminário de Recursos Hídricos da Bacia Hidrográfica do Paraíba do Sul | 2009

Evolução espaço-temporal do uso da terra da microbacia do Córrego Descalvado – Botucatu, SP

Sérgio Campos; Ana Paula Barbosa; Muriel Cicatti Emanoeli Soares; Raquel Cavasini; Marina Granato; Mariana Silva; Débora Rosana Ribeiro Penido Araujo; Milena Montanholi Mileski


Applied Research & Agrotechnology | 2009

Spatialization of the land use in the watershed Ribeirão Descalvado, Botucatu SP, in the period of 35 years

Sérgio Campos; Ana Paula Barbosa; Leandro Moreira Monzano; Joice Jardim; Natália Souza Ceragioli; Shahine Paccola Gonçalves


Acta Agronómica | 2009

Geoprocessamento aplicado na identificação e localização potencial de conflitos de uso em áreas de preservação permanente na microbacia do córrego Monte Belo, Botucatu (SP, Brasil)

Sérgio Campos; Mariana Lisboa Pessoa; Ana Paula Barbosa; Flavia Mazzer Rodrigues; Teresa Cristina Tarlé Pissarra; Victor Benedictes Mora


Central theme, technology for all: sharing the knowledge for development. Proceedings of the International Conference of Agricultural Engineering, XXXVII Brazilian Congress of Agricultural Engineering, International Livestock Environment Symposium - ILES VIII, Iguassu Falls City, Brazil, 31st August to 4th September, 2008. | 2008

Evaluation of land use conflicts in permanent protection areas in Ribeirão Duas Águas watershed (SP).

Ana Paula Barbosa; R. J. Pisani; Sérgio Campos; M. G. da Silva

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Amílcar Soares

Instituto Superior Técnico

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Julião Soares de Souza Lima

Universidade Federal do Espírito Santo

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Mariana Silva

Universidade Federal de Juiz de Fora

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