4 citations · 8 across the 3 of their papers we have counts for
4 papers
Challenges in data-based geospatial modeling for environmental research and practice
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov +3
With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research.…
Optimal soil sampling design based on the maxvol algorithm
Anna Petrovskaia, Gleb Ryzhakov, Ivan Oseledets
Spatial soil sampling is an integral part of a soil survey aimed at creating a soil map. We propose considering the soil sampling procedure as a task of optimal design. In practica…
A single image deep learning approach to restoration of corrupted remote sensing products
Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
Remote sensing images are used for a variety of analyses, from agricultural monitoring, to disaster relief, to resource planning, among others. The images can be corrupted due to a…
Bayesian aggregation improves traditional single image crop classification approaches
Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia +3
Machine learning (ML) methods and neural networks (NN) are widely implemented for crop types recognition and classification based on satellite images. However, most of these studie…