Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Vladimir Ignatiev"'
Autor:
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan Oseledets
Publikováno v:
IEEE Access, Vol 10, Pp 34116-34132 (2022)
The canopy height model (CHM) is a representation of the height of the top of vegetation from the surrounding ground level. It is crucial for the extraction of various forest characteristics, for instance, timber stock estimations and forest growth m
Externí odkaz:
https://doaj.org/article/c779051698754cb8868813da459b1ffb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1810-1820 (2021)
Among different forest inventory problems, one of the most basic is defining dominant species. These data are crucial in forest management to determine forest category, and a cheaper remote sensing-based approach would be a useful supplement to field
Externí odkaz:
https://doaj.org/article/37cae44af26f4ed6b3be683016add6bd
Autor:
Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan Oseledets, Evgeny Burnaev
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5861 (2022)
Estimation of terrestrial carbon balance is one of the key tasks in the understanding and prognosis of climate change impacts and the development of tools and policies according to carbon mitigation and adaptation strategies. Forest ecosystems are on
Externí odkaz:
https://doaj.org/article/f0c65ab4ea194570a3b2d41c8a465c3c
Autor:
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan Oseledets
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2281 (2022)
Remote sensing tasks play a very important role in the domain of sensing and measuring, and can be very specific. Advances in computer vision techniques allow for the extraction of various information from remote sensing satellite imagery. This infor
Externí odkaz:
https://doaj.org/article/37ecd2865fff4823970ea7f0c3cdff62
Publikováno v:
Sensors, Vol 21, Iss 16, p 5646 (2021)
The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for landcover classification, especially concerning vegetation assessment. Despite the usefulness of NIR, it does not
Externí odkaz:
https://doaj.org/article/fad71820fd0d4b74ab5b09a586143010
Autor:
Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan Oseledets
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2181 (2021)
Usage of multispectral satellite imaging data opens vast possibilities for monitoring and quantitatively assessing properties or objects of interest on a global scale. Machine learning and computer vision (CV) approaches show themselves as promising
Externí odkaz:
https://doaj.org/article/668c4bef05264f5781505e09289250d1
Publikováno v:
Russian Journal of Management. 10:101-105
Today, in crisis conditions, the regions of Russia need to develop unified approaches and a theoretical basis for regional development that meet the requirements of modern technologies and the challenges of the socio-cultural sphere of the XXI centur
Publikováno v:
Russian Journal of Management. 9:106-110
The oil and gas complex of Russia is the most important component of the fuel and energy base of the country. The development of the oil and gas complex and the oil and gas industry is interconnected by ensuring the energy security of the state, the
Publikováno v:
Russian Journal of Management. 8:86-90
One of the leading tools for hedging the risk of creditors in the process of relations with the borrower is collateral for the loan. Due to the development of technologies and the weighting of production systems, the requirements for the quality of c
Publikováno v:
Russian Journal of Management. 7:166-170
The Article is devoted to the problem of assessing the social capital of economic agents. To maintain a stable financial condition of an economic agent, it is necessary to be able to increase and use social capital. Social capital is a factor of sust