Libraries with pre-written codes optimize the workflow in cartography and reduce labour
intensive data processing by iteratively applying scripts to implementing mapping tasks …

In this paper, Sentinel-2 satellite imagery is used for the classification of different soil types
using the method of deep convolutional neural networks. Role of the presence of different …

In this paper, the method of radial basis function machine learning is employed to analyze
and predict the GNSS residual position time series. Based on four different types of radial …

In this paper, two applications of numerical integration in geodesy and geophysics are
presented. In the first application, the Molodenskij truncation coefficients for the Abel …

We focus on a study in which crops in the hyperspectral imagery are classified using very
deep convolutional neural networks. A case study is presented for the 125-band …