Zobrazeno 1 - 10
of 51
pro vyhledávání: '"A. Kashnitskii"'
Autor:
V. Savorskiy, E. Loupian, I. Balashov, A. Kashnitskii, A. Konstantinova, V. Tolpin, I. Uvarov, O. Kuznetsov, S. Maklakov, O. Panova, E. Savchenko
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B4, Pp 235-242 (2016)
Creating high-performance means to manage massive hyperspectral data (HSD) arrays is an actual challenge when it is implemented to deal with disparate information resources. Aiming to solve this problem the present work develops tools to work with HS
Externí odkaz:
https://doaj.org/article/ea9d78fbe5ac4274947a9f82af2ba375
Autor:
Evgeny Loupian, Mikhail Burtsev, Andrey Proshin, Alexandr Kashnitskii, Ivan Balashov, Sergey Bartalev, Anna Konstantinova, Dmitriy Kobets, Maxim Radchenko, Vladimir Tolpin, Ivan Uvarov
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 77 (2021)
Currently, when satellite data volumes grow rapidly and exceed petabyte values and their quality provides reliable analysis of long-term time series, traditional data handling methods assuming local storage and processing may be impossible to impleme
Externí odkaz:
https://doaj.org/article/b60b9b09f97e4c29a66f9ece2718410e
Autor:
Evgeny Loupian, Mikhail Burtsev, Andrey Proshin, Alexandr Kashnitskii, Ivan Balashov, Sergey Bartalev, Anna Konstantinova, Dmitriy Kobets, Maxim Radchenko, Vladimir Tolpin, Ivan Uvarov
Publikováno v:
Remote Sensing, Vol 14, Iss 77, p 77 (2022)
Remote Sensing; Volume 14; Issue 1; Pages: 77
Remote Sensing; Volume 14; Issue 1; Pages: 77
Currently, when satellite data volumes grow rapidly and exceed petabyte values and their quality provides reliable analysis of long-term time series, traditional data handling methods assuming local storage and processing may be impossible to impleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd24290ea96600ce37162d1f5813f40b
https://www.mdpi.com/2072-4292/14/1/77
https://www.mdpi.com/2072-4292/14/1/77
Autor:
Loupian Evgeny, Savorskiy Viktor, Kashnitskii Aleksandr, Kobets Dmitrii, Sen'ko Konstantin, Balashov Ivan, Uvarov Ivan
Publikováno v:
E3S Web of Conferences, Vol 149, p 01002 (2020)
The impact of hazardous waste on people and the environment from agricultural, industrial, military and mining activities form one of the most significant global environmental challenges. These wastes often include heavy metals, acid precipitates (su
Externí odkaz:
https://doaj.org/article/78392550ab0f441cb2b9c4cc30f6d862
Autor:
Kashnitskii Alexandr, Balashov Ivan, Bartalev Sergey, Egorov Viacheslav, Kobets Dmitrii, Zharko Vasily, Loupian Evgeniy
Publikováno v:
E3S Web of Conferences, Vol 223, p 01003 (2020)
This paper demonstrates the capabilities of the Vega-Les (“Les” is the Russian word meaning “forest”) information system (IS) for forest monitoring. A brief assessment and characteristics of the Earth observation data and main available thema
Externí odkaz:
https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb
Publikováno v:
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 18:41-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caeb83a634d5cc57d5078d83b285334b
https://doi.org/10.21046/2070-7401-2021-18-4-41-52
https://doi.org/10.21046/2070-7401-2021-18-4-41-52
Autor:
I.A. Uvarov, O. A. Girina, I.M. Romanova, A.A. Nuzhdaev, S.P. Korolev, A.V. Kashnitskii, Seismology Feb Ras, L.S. Kramareva, S.I. Malkovsky, A.А. Sorokin, Dmitry Melnikov, A.G. Manevich
Publikováno v:
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 18:321-327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327486644b0c3fe7b0cd2230b1b22279
https://doi.org/10.21046/2070-7401-2021-18-5-321-327
https://doi.org/10.21046/2070-7401-2021-18-5-321-327
Publikováno v:
Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021.
The paper presents the sample database of vegetation cover damaged by wildfires, obtained from high spatial resolution remote sensing data (up to 10 meters per pixel). At the time of publication, more than 6 thousand fires with a total area of more t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de22c482feda7457d682bba60d44893
https://doi.org/10.25743/sdm.2021.79.43.015
https://doi.org/10.25743/sdm.2021.79.43.015
Publikováno v:
Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021.
The paper deals with the problems of a sharp increase in the number of remote sensing satellite systems and the amount of data received, and because of this, the need to develop new approaches to the processing and use of satellite information. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31206322f7aeb458bc9ccc444604ca33
https://doi.org/10.25743/sdm.2021.46.67.017
https://doi.org/10.25743/sdm.2021.46.67.017
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