Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Oleg Yermolaev"'
Publikováno v:
Agriculture, Vol 13, Iss 9, p 1672 (2023)
This study addresses the challenge of accurate crop detection using satellite data, focusing on the application of Long Short-Term Memory (LSTM) networks. The research employs a “spatial generalization” approach, where a model trained on one geog
Externí odkaz:
https://doaj.org/article/e5784621fb5d46c3a93fb60579a374b9
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 329 (2023)
Information about the species composition of a forest is necessary for assessing biodiversity in a particular region and making economic decisions on the management of forest resources. Recognition of the species composition, according to the Earth
Externí odkaz:
https://doaj.org/article/a99d7721b32e4832b23d98e87335bc12
Publikováno v:
Geosciences, Vol 12, Iss 7, p 279 (2022)
The objective of this work is to analyze the spatial-temporal features of the trends in the frequency and amount of erosion-hazardous precipitation in the European part of Russia (EPR) for the period 1966–2020, as a reflection of the influence of c
Externí odkaz:
https://doaj.org/article/e8f639cb9c3d43169f974616e2cfe429
Autor:
Oleg Yermolaev, Bulat Usmanov, Artur Gafurov, Jean Poesen, Evgeniya Vedeneeva, Fedor Lisetskii, Ionut Cristi Nicu
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4214 (2021)
This study focuses on the Kuibyshev reservoir (Volga River basin, Russia)—the largest in Eurasia and the third in the world by area (6150 km2). The objective of this paper is to quantitatively assess the dynamics of reservoir bank landslides and sh
Externí odkaz:
https://doaj.org/article/7b4fc8fe477f486e863102d51ff3b42f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 10, p 645 (2021)
Evaluation of the vegetation and agricultural-management factor (C-factor) is an important task, the solution of which affects the correct assessment of the intensity of soil erosion. For the vast area of the European part of Russia (EPR), this task
Externí odkaz:
https://doaj.org/article/32076b6b7bdd47eba68ad4bedf99c362
Publikováno v:
Geosciences, Vol 10, Iss 4, p 139 (2020)
The analysis of the geoecological state of basin geosystems was carried out by evaluation of the anthropogenic pressure on the basin. As indicators that directly or indirectly reflect the anthropogenic impact, the following were used: population dens
Externí odkaz:
https://doaj.org/article/d4c60e8365a94734a7215345f764597b
Publikováno v:
Earth Surface Processes and Landforms. 47:2926-2940
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6633016b2534658ffb9c8400189c2f87
https://doi.org/10.1002/esp.5433
https://doi.org/10.1002/esp.5433
Publikováno v:
Water; Volume 14; Issue 18; Pages: 2781
The SEA/Balance (soil erosion–accumulation balance) model and the WATEM/SEDEM model both mapping the erosion–accumulation budget of sediment within river basins were tested for 11 river basins of the eastern Russian Plain. The dynamics of river s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e59d1171f365e467c56bb4b62864b53
Autor:
K. A. Maltsev, Oleg Yermolaev
Publikováno v:
Eurasian Soil Science. 52:1588-1597
Quantitative assessment of the potential soil loss on arable lands in the European part of Russia (4 million km2) was performed at the regional level of generalization corresponding to the scale of 1 : 500 000. Mathematical modeling based on the use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04c81c4d6072bed67307bc850a8e8032
https://doi.org/10.1134/s106422931912010x
https://doi.org/10.1134/s106422931912010x
Autor:
Artur Gafurov, Fedor Lisetskii, Oleg Yermolaev, Bulat Usmanov, Evgeniya Vedeneeva, Jean Poesen, Ionut Cristi Nicu
Publikováno v:
Remote Sensing; Volume 13; Issue 21; Pages: 4214
Remote Sensing, Vol 13, Iss 4214, p 4214 (2021)
Remote Sensing, Vol 13, Iss 4214, p 4214 (2021)
This study focuses on the Kuibyshev reservoir (Volga River basin, Russia)—the largest in Eurasia and the third in the world by area (6150 km2). The objective of this paper is to quantitatively assess the dynamics of reservoir bank landslides and sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a767875827b90d16d125006e7e2f2f6e