Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Maria Panfilova"'
Autor:
Maria Panfilova, Vladimir Karaev
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 859 (2024)
The method for sea ice detection using the data from the Dual-frequency Precipitation Radar (DPR) onboard the Global Precipitation Measurement (GPM) satellite data is suggested. The approach is based on the analysis of the shape of normalized radar c
Externí odkaz:
https://doaj.org/article/7efb3210cfc3446fa01590b4a47721bb
Autor:
Maria Panfilova, Vladimir Karaev
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3530 (2023)
This paper presents the first results of sea ice detection using the data of Ka- and Ku-band radars at low incidence angles. A classification method based on an unsupervised K-means approach is applied to the arrays of the data for the Arctic and Ant
Externí odkaz:
https://doaj.org/article/5e9cb6015c3b40149388436cbb8b659c
Autor:
Maria Panfilova, Vladimir Karaev
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6268 (2022)
An algorithm to retrieve the wind speed within a wide swath from the normalized radar cross section (NRCS) is developed for the data of Ku-band radar operating in scanning mode installed onboard the Global Precipitation Measurement (GPM) satellite. N
Externí odkaz:
https://doaj.org/article/b7f34aef9f99436690970ddd75ccf406
Autor:
Vladimir Karaev, Yury Titchenko, Maria Panfilova, Kiril Ponur, Maria Ryabkova, Eugeny Meshkov, Dmitry Kovaldov
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4937 (2022)
Orbital radars are used to monitor the state of the sea ice in the Arctic and Antarctic. The backscattering radar cross section (RCS) is used to determine the type of scattering surface. The power of the reflected signal depends on many factors, so t
Externí odkaz:
https://doaj.org/article/a734deb4179f436f8bbf54d5f8df8030
Autor:
Vladimir Karaev, Yury Titchenko, Maria Panfilova, Maria Ryabkova, Eugeny Meshkov, Kirill Ponur
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2331 (2022)
In the radar remote sensing of sea ice, the main informative parameter is the backscattering radar cross section (RCS), which does not always make it possible to unambiguously determine the kind of scattering surface (ice/sea waves) and therefore lea
Externí odkaz:
https://doaj.org/article/1836da8b18024e3fafe1b49adb185df4
Autor:
Maria Panfilova, Vladimir Karaev
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4565 (2021)
The algorithm to retrieve wind speed in a wide swath from the normalized radar cross section (NRCS) was developed for the data of Dual Frequency Precipitation Radar (DPR) operating in scanning mode installed onboard a Global Precipitation Measurement
Externí odkaz:
https://doaj.org/article/ff78bb4d130d49cf9d83521576fa0b35
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 16, p 8752 (2021)
CRISPR/Cas, one of the most rapidly developing technologies in the world, has been applied successfully in plant science. To test new nucleases, gRNA expression systems and other inventions in this field, several plant genes with visible phenotypic e
Externí odkaz:
https://doaj.org/article/8cf4d0e395ae482c941224d0a3548a3a
Brassica oleracea var. gongylodes (kohlrabi) is an economically important vegetable with edible stems. Due to the complicated in vitro regeneration, biotechnological cultivars with useful traits do not yet exist. This plant have never been subjected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::938963978e4d9f7125c2d3dbc07b6607
https://doi.org/10.21203/rs.3.rs-2805928/v1
https://doi.org/10.21203/rs.3.rs-2805928/v1
Autor:
Maria Ryabkova, Vladimir Karaev, Maria Panfilova, Yury Titchenko, Eugeny Meshkov, Emma Zuikova, Dmitry Kovaldov, Kirill Ponur
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6651fcf0b355960911d4eb0088c297ff
https://doi.org/10.1109/igarss46834.2022.9883289
https://doi.org/10.1109/igarss46834.2022.9883289
Publikováno v:
Inland Water Biology. 14:104-108
Water caltrop Trapa natans L. is a relic aquatic plant protected in 36 regions of Russia. The most northern and isolated populations of this plant in Southern Ural and Altai are poorly studied. The results of a chemical analysis of water and aquarium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a82dfeb121763cd4d0d6076bbcf30aca
https://doi.org/10.1134/s1995082921010077
https://doi.org/10.1134/s1995082921010077