Výsledky vyhledávání - "Artur Gafurov"

Akademický článek

Automated Mapping of Cropland Boundaries Using Deep Neural Networks

Autor: Artur Gafurov

Publikováno v: AgriEngineering, Vol 5, Iss 3, Pp 1568-1580 (2023)

Accurately identifying the boundaries of agricultural land is critical to the effective management of its resources. This includes the determination of property and land rights, the prevention of non-agricultural activities on agricultural land, and

Externí odkaz: https://doaj.org/article/7f2d472f96f64141bc014b322eda9dca

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Akademický článek

Forest Community Spatial Modeling Using Machine Learning and Remote Sensing Data

Autor: Artur Gafurov, Vadim Prokhorov, Maria Kozhevnikova, Bulat Usmanov

Publikováno v: Remote Sensing, Vol 16, Iss 8, p 1371 (2024)

This study examines the application of unsupervised classification techniques in the mapping of forest vegetation, aiming to align vegetation cover with the Braun-Blanquet classification system through remote sensing. By leveraging Landsat 8 and 9 sa

Externí odkaz: https://doaj.org/article/1c2e58ba55bd4fbd8e3200a82196ef90

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Akademický článek

Advancing Agricultural Crop Recognition: The Application of LSTM Networks and Spatial Generalization in Satellite Data Analysis

Autor: Artur Gafurov, Svetlana Mukharamova, Anatoly Saveliev, 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

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Akademický článek

Mapping of Rill Erosion of the Middle Volga (Russia) Region Using Deep Neural Network

Autor: Artur Gafurov

Publikováno v: ISPRS International Journal of Geo-Information, Vol 11, Iss 3, p 197 (2022)

Soil erosion worldwide is an intense, poorly controlled process. In many respects, this is a consequence of the lack of up-to-date high-resolution erosion maps. All over the world, the problem of insufficient information is solved in different ways,

Externí odkaz: https://doaj.org/article/91027a1f2c5145b4bd079d5f74f92100

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Akademický článek

Assessment of Shoreline Transformation Rates and Landslide Monitoring on the Bank of Kuibyshev Reservoir (Russia) Using Multi-Source Data

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

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Akademický článek

Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia

Autor: Svetlana Mukharamova, Anatoly Saveliev, Maxim Ivanov, Artur Gafurov, Oleg Yermolaev

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

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Akademický článek

The Methodological Aspects of Constructing a High-Resolution DEM of Large Territories Using Low-Cost UAVs on the Example of the Sarycum Aeolian Complex, Dagestan, Russia

Autor: Artur Gafurov

Publikováno v: Drones, Vol 5, Iss 1, p 7 (2021)

Unmanned aerial vehicles (UAV) have long been well established as a reliable way to construct highly accurate, up-to-date digital elevation models (DEM). However, the territories which were modeled by the results of UAV surveys can be characterized a

Externí odkaz: https://doaj.org/article/68d7aa25d9c045c48e3bdeffe4c7cf35

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Using XVIII–XIX Cent. Maps and Modern Remote Sensing Data for Detecting the Changes in the Land Use at Bulgarian Fortified Settlements in the Volga Region

Autor: M. A. Ivanov, Artur Gafurov, Iskander Gainullin, James Williamson, Halim M. Abdullin, Bulat Usmanov

Publikováno v: Earth
Volume 2
Issue 1
Pages 4-65

This study uses modern and historic spatial data to analyze land use around 13th Century AD Bulgarian fortified settlements to examine the current state of these features and how changes in land use over the past two centuries have affected these fea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc900db2bd17c8dfc8213fdc70d3266
https://doi.org/10.3390/earth2010004

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The 'Country of cities' web-GIS: development experience and approaches used in creating a history-oriented geoportal

Autor: Oleg Yermolayev, Bulat Usmanov, Artur Gafurov, Petr Khomyakov, Airat M. Gubaidullin, Iskander Gainullin

Publikováno v: InterCarto. InterGIS. 27:482-494

Providing convenient access to spatial information for multiple users is a big challenge. To solve this problem, researchers present the results of their research on thematic geoportals—geographic information systems (GIS) located on the Web. The m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be175f4f2aeb6a7322df050141e13a7b
https://doi.org/10.35595/2414-9179-2021-4-27-482-494

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