no code implementations • 18 Nov 2023 • Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev
With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research.
1 code implementation • Computational Science–ICCS 2021: 21st International Conference, Krakow, Poland, 2021 • Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik & Ivan Oseledets
Finding optimal irrigation and water resources for crops is necessary to increase the efficiency of water usage.
no code implementations • 8 Apr 2020 • 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.
no code implementations • 7 Apr 2020 • Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan Oseledets
We present a comparison between the classical ML approaches and U-Net NN for classifying crops with a single satellite image.