This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ...

This text has as its main objective to perform the mapping of zones and subzones, considering the physical aspects of land of the Cujubim Municipality, situated in the state of Rondonia / Brazil, with the aim of contributing ...

Remote sensing archaeology in recent years has emphasized the use of high-precision and high-accuracy tools to achieve the detailed documentation of archaeological elements (drones, LIDAR, etc.). Satellite remote sensing ...

In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...

In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...

There is an increasing demand to better understand the dynamics of the vegetation conditions over time as a result of the improvement of remote sensing techniques. Yhis study aimed to analyse the spatio-temporal behavior ...