Отрывок: Figure 4. Inundation area graph of the Moscow, Russia. At the minimum inundation level (70m in fig.4), 0.04% (20.24 km2) of the total area (table 2) would be flooded including: urban areas, natural vegetation and agricultural land and beaches. The area of submergence for 80m rise in water level is up to 60.12 km2 (0.13%) and subsequently for 90m 258.29 km2 (0.55%), 100m 895.84 km2 (1.92%), 110m 2417.18 km2 (5.18%), 120m 5108.59 km2 (10.94%), 130m 8779.34 km2 (...
Название : | Remote sensing investigation of inundation, elevation and land use assessment in Moscow state, Russia |
Авторы/Редакторы : | Choudhary, K. Boori, M.S. Kupriyanov, A. |
Ключевые слова : | Remote Sensing Inundation Land use assessment |
Дата публикации : | 2018 |
Издательство : | Новая техника |
Библиографическое описание : | Choudhary K. Remote sensing investigation of inundation, elevation and land use assessment in Moscow state, Russia / K. Choudhary, M.S. Boori, A. Kupriyanov // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.1165-1171 |
Аннотация : | Land use/cover expansion is one of the major drivers of regional environmental change. With increasing scientific and political interest in regional aspects of global environmental changes, there is a strong stimulus to better understand the patterns causes and environmental consequences of LULC expansion in the elevation of Moscow state, one of the areas in the nation with fast economic growth and high population density. Satellite remote sensing images (Landsat TM, ETM and OLI) were employed to detect land cover changes. A 70 to 300 m inundation land loss scenarios for surface water and sea level rise (SLR) were developed using digital elevation models of study site topography through remote sensing and GIS techniques by ASTER GDEM and Landsat OLI data. The most severely impacted sectors are expected to be the vegetation, wetland and the natural ecosystem. Improved understanding of the extent and response of SLR will help in preparing for adaptation. |
URI (Унифицированный идентификатор ресурса) : | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Remote-sensing-investigation-of-inundation-elevation-and-land-use-assessment-in-Moscow-state-Russia-69170 |
Другие идентификаторы : | Dspace\SGAU\20180514\69170 Dspace\SGAU\20180515\69170 |
Располагается в коллекциях: | Информационные технологии и нанотехнологии |
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paper_154.pdf | Основная статья | 640.74 kB | Adobe PDF | Просмотреть/Открыть |
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