Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques

Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.

Software for interpolation of vegetative growth of yerba mate plants in 3D

The objective of this work was to build mock-ups of complete yerba mate plants in several stages of development, using the InterpolMate software, and to compute photosynthesis on the interpolated structure. The mock-ups of yerba-mate were first built in the VPlants software for three growth stages. Male and female plants grown in two contrasting environments (monoculture and forest understory) were considered. To model the dynamic 3D architecture of yerba-mate plants during the biennial growth interval between two subsequent prunings, data sets of branch development collected in 38 dates were used. The estimated values obtained from the mock-ups, including leaf photosynthesis and sexual dimorphism, are very close to those observed in the field. However, this similarity was limited to reconstructions that included growth units from original data sets. The modeling of growth dynamics enables the estimation of photosynthesis for the entire yerba mate plant, which is not easily measurable in the field. The InterpolMate software is efficient for building yerba mate mock-ups.

Ultra-sonografia virtual: reprodutibilidade intra-observador

OBJETIVO: Analisar a reprodutibilidade intra-observador da ultra-sonografia tridimensional (US3D) real com a US virtual, nas modalidades multiplanar e volumétrica. MATERIAIS E MÉTODOS: Foram examinados, prospectivamente, 132 blocos provenientes de 44 avaliações de 26 conceptos. Dezoito conceptos tinham idade gestacional ecográfica de oito semanas a oito semanas e seis dias, e 26 tinham de dez semanas a dez semanas e seis dias. Realizou-se a US3D, analisando-se: comprimento cabeça-nádega, saco gestacional, saco amniótico, translucência nucal, conduto onfalomesentérico, vesícula vitelínica, membros superiores, membros inferiores, distinção cabeça-tórax, perfil da face, coronal da face, implantação das orelhas, perfil da coluna, coronal da coluna, parede abdominal fechada. Foram obtidos três blocos por concepto para posterior realização da US virtual. A análise estatística foi feita utilizando-se o teste t de Student, o teste de McNemar e o kappa. RESULTADOS: No grupo I, a avaliação ultra-sonográfica 3D real multiplanar versus 3D virtual multiplanar, na análise das variáveis contínuas, evidenciou diferença significativa para todas. Na avaliação das variáveis categóricas, evidenciou-se que todas não apresentaram diferença significativa. No grupo II, a avaliação ultra-sonográfica 3D real volumétrica versus 3D virtual volumétrica demonstrou diferença significativa apenas para a variável implantação de orelhas. Os resultados das análises das variáveis categóricas evidenciaram concordância para a maioria das variáveis analisadas em ambos os grupos. CONCLUSÃO: Há reprodutibilidade intra-observador da US3D com a modalidade virtual, multiplanar e volumétrica.