It was introduced in this paper the Optimum-Path Forest for land use classification aiming a better environmental management, using images obtained from CBERS 2B CCD satellite covering the area of the Rio das Pedras watershed, Itatinga City, São Paulo State, Brazil. We also compared the Optimum-Path Forest algorithm with the well known supervised classifiers: Artificial Neural Networks using Mu...

The success of any remote sensing program is directly related to the knowledge of both spectral and radiometric characteristics of the sensors involved. The Brazilian remote sensing user’s community has explored the relationship between orbital radiometric data and biophysical data since the beginning of the nineties using the Thematic Mapper (TM) sensor as the main source of data. Since the fi...

The Brazilian urbanization process produced a complex urban space, with variety of land use and cover as result. study these forms through classification system is essential, but most current systems don’t capture this complexity, condensing it. Urban are difficult to distinguish classify, resulting in the need for high degree detail, more accurate planning. objective work propose cover, which ...

CBERS-02B was the first high resolution earth observation satellite in China, which adopted linear array push-broom sensor. The nadir ground resolution of the on board HR camera was 2.36 m. However, the accuracies of the on-board GPS receiver and star tracker were very limited due to the technical restrictions. The accuracy of direct geo-referencing by the on-board measurements of position and ...

The problem of image data fusion coming from different sensors imaging the same object is to try to obtain a result that integrates the best characteristics of each one of those sensors. In this work, we want to combine the characteristics of multispectral (better spectral definition) and panchromatic (better space definition) images, using the bands from the satellites Landsat-7 (panchromatic)...

Remote sensing is a promising technique for monitoring the distribution and dynamics of various vector-borne diseases. In this study, we used the multi-temporal CBERS images, obtained free of charge, to predict the habitats of the snail Oncomelania hupensis, the sole intermediate host of schistosomiasis japonica, a snail-borne parasitic disease of considerable public health in China. Areas of s...