Sinergismo Entre Dados Ópticos E De Radar No Estudo Geológico Da Região De Bezerra-Cabeceiras, Goiás

Chaves, Joselisa Maria; Sano, Edson Eyji; Guimarães, Edi Mendes; Silva, Ardemírio B.; Meneses, Paulo Roberto

doi:10.25249/0375-7536.200333s2137146

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Logo, seu uso combinado pode ser altamente favorável, pois as imagens de SAR tendem a enfatizar a informação espacial (estruturas e texturas), enquanto que as imagens ópticas realçam a informação espectral (Chaves et al, 2003).…”

Section: Materiais E Métodosunclassified

Levantamento de feições estruturais lineares a partir de sensoriamento remoto - uma contribuição para o mapeamento geotécnico na Serra de Baturité, Ceará

Batista

Veríssimo

Amaral

2014

Geol. USP, Sér. cient.

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Disponível on-line no endereço www.igc.usp.br/geologiausp -67 -Resumo O uso de técnicas de processamento digital de imagens de sensores remotos permite aplicações de grande importância para as geociências. Um dos campos de possível aplicação desses recursos é o mapeamento geotécnico. Técnicas de filtragens em imagens ópticas e de radar ressaltam estruturas lineares naturais que podem ser interpretadas como falhas, fraturas, drenagens, cristas, fundos de vale e foliações. Com o levantamento desses dados, combinados com os trabalhos de campo, o mapeamento geotécnico ganha em precisão e agilidade. A grande incidência de eventos de instabilidade de encostas ocorridas recentemente em algumas regiões do Brasil, notadamente na região Sudeste, tem atraído o interesse de pesquisadores das áreas de engenharia e geociências no desenvolvimento de estudos que abordem essa temática. Foi medida a direção em azimute e o comprimento em metros dos vetores correspondentes aos lineamentos, para posterior geração de um diagrama de rosetas e visualização do trend regional dessas estruturas e elaboração de mapa de densidade de lineamentos. A importância da aplicação de filtros de frequência espectrais consiste, portanto, em quantificar e qualificar essas estruturas geoló-gicas e geomorfológicas, que estão entre os componentes principais de condicionantes de movimentos de massa e erosão.Palavras-chave: Geoprocessamento; Geotécnica; Movimentos de massa. AbstractThe use of techniques of digital image processing remote sensing allows applications of great importance for the geosciences. One of the possible fields of application of these resources is the geotechnical mapping. Filtering techniques for radar and optical images emphasize natural linear structures that can be interpreted as fractures, drainages, ridges, valley bottoms and foliation. With the lifting of these data, combined with field work, the geotechnical mapping gains in precision and agility. The high incidence of slope instability events recently occurred in some parts of Brazil, especially in the Southeast, has attracted the interest of researchers in engineering and geoscience areas in the preparation of monographs, dissertations, theses and academic articles that address this issue. For subsequent generation of a diagram rosettes and visualization of regional trend of the structures and preparation of lineament density map, the vectors corresponding to the guidelines direction were measured in azimuth, and the length was measured in meters. The importance of applying frequency spectrum filters is therefore to quantify and qualify these geological and geomorphological structures, which are among the main components of conditions of mass movements and erosion.

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Section: Materiais E Métodosunclassified

Levantamento de feições estruturais lineares a partir de sensoriamento remoto - uma contribuição para o mapeamento geotécnico na Serra de Baturité, Ceará

Batista

Veríssimo

Amaral

2014

Geol. USP, Sér. cient.

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“…The biggest problem related to using and exclusively analyzing the SAR images is the complex interpretation inherent to this type of data [16][17][18]. It is difficult to understand the interaction that effectively occurs between the radiation emitted by the SAR sensor and the target due to the frequent unavailability of reliable data on the dielectric and geometric conditions of the soils and vegetation at the moment the sensor system passes.…”

Section: Introductionmentioning

confidence: 99%

Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau

et al. 2021

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The Santa Catarina Southern Plateau is located in Southern Brazil and is a region that has gained considerable attention due to the rapid conversion of the typical landscape of natural grasslands and wetlands into agriculture, reforestation, pasture, and more recently, wind farms. This study’s main goal was to characterize the polarimetric attributes of the experimental quad-polarization acquisition mode of the Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR-2) for mapping seven land cover classes. The polarimetric attributes were evaluated alone and combined with SENTINEL-2A using a supervised classification method based on the Support Vector Machine (SVM) algorithm. The results showed that the intensity backscattering alone reached an overall classification accuracy of 37.48% and a Kappa index of 0.26. Interestingly, the addition of polarimetric features increased to 71.35% and 0.66, respectively. It shows that the use of polarimetric decomposition features was relatively efficient in discriminating land cover classes. SENTINEL-2A data alone performed better and achieved a weighted overall accuracy and Kappa index of 85.56% and 0.82. This increase was also significant for the Z-test. However, the addition of ALOS/PALSAR-2 derived features to SENTINEL-2A slightly improved accuracy and was marginally significant at a 95% confidence level only when all features were considered. Possible implications for that performance are the accumulated precipitation prior to SAR data acquisition, which coincides with the rainy season period. The experimental quad-polarization mode of ALOS/PALSAR- 2 shall be evaluated in the near future over different seasonal conditions to confirm results. Alternatively, further studies are then suggested by focusing on additional features derived from SAR data such as texture and interferometric coherence to increase classification accuracy. These measures would be an interesting data source for monitoring specific land cover classes such as the threatened grasslands and wetlands during periods of frequent cloud coverage. Future investigations could also address multitemporal approaches employing either single or multifrequency SAR.

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Sinergismo Entre Dados Ópticos E De Radar No Estudo Geológico Da Região De Bezerra-Cabeceiras, Goiás

Cited by 2 publications

References 8 publications

Levantamento de feições estruturais lineares a partir de sensoriamento remoto - uma contribuição para o mapeamento geotécnico na Serra de Baturité, Ceará

Levantamento de feições estruturais lineares a partir de sensoriamento remoto - uma contribuição para o mapeamento geotécnico na Serra de Baturité, Ceará

Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau

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