Научная библиотека ВСГУТУ

Nomindari, D.
Destruction of land coverage caused by human activities in the Ogii Lake Basin [] / D. Nomindari, O. Erdenetuya, D. Azjargal // VIII Международная конференция "Проблемы механики современных машин", посвященная 60-летию ВСГУТУ : сборник статей / Восточно-Сибирский государственный университет технологий и управления ; отв. ред. Л. А. Бохоева. - Улан-Удэ : Издательство ВСГУТУ, 2022. - С. 108-113. - Библиогр. в конце ст. . - ISBN 978-5-907599-05-5

ГРНТИ

87.29.29

Рубрики: Экология--Загрязнение окружающей среды--Монголия
Монголия
Кл.слова (ненормированные):
загрязнение окружающей среды -- озёра -- растительный покров -- техногенная нагрузка -- антропогенное воздействие -- Проблемы механики современных машин -- Nomindari, D. -- Erdenetuya, O. -- Azjargal, D. -- Бохоева, Л. А.
Аннотация: Mongolia is a semi-arid region with a fragile ecosystem that is particularly vulnerable to climate change. The Ogii Lake Basin is located in central Mongolia and is part of the International Ramsar Convention for the protection of wetlands. The technogenic systems in the Ogii Lake Basin were classified and studied in terms of land cover degradation over the period 2000-2020. The main factors affecting land degradation by technogenic systems are correlation coefficients for solid waste r = 0.73, open pit minning r = 0.69, normal unpaved roads r = 0.68, livestock r = 0.59, and wells r = 0.54. Land cover degradation was processed by NDVI using MODIS satellite data. Identifying the effects of various man-made systems on land cover is important for watershed planning to improve response to land degradation and climate change.

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Доп.точки доступа:
Бохоева, Л. А. \отв. ред.\; Erdenetuya, O.; Azjargal, D.

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Erdeneshoo Orolmaa
Land surface temperature estimation over Darkhan-Uul Aimag using by landsat imagery data [] / Erdeneshoo Orolmaa // VIII Международная конференция "Проблемы механики современных машин", посвященная 60-летию ВСГУТУ : сборник статей / Восточно-Сибирский государственный университет технологий и управления ; отв. ред. Л. А. Бохоева. - Улан-Удэ : Издательство ВСГУТУ, 2022. - С. 395-399. - Библиогр. в конце ст. . - ISBN 978-5-907599-05-5

ГРНТИ

36.29.33

50.41.25

Рубрики: Геодезия--Дистанционное зондирование
Вычислительная техника--Программное обеспечение
Кл.слова (ненормированные):
Проблемы механики современных машин -- дистанционное зондирование -- температура поверхностей -- оценка -- программное обеспечение -- алгоритм разделения окон -- алгоритмы -- Landsat8 -- Erdeneshoo Orolmaa -- Бохоева, Л. А.
Аннотация: Information about the spatial distribution of urban surface emissivity is essential for surface temperature estimation. The latter is critical in many applications, such as estimation of surface sensible and latent heat fluxes, energy budget, urban canopy modeling, bio-climatic studies and urban planning. This study proposes an estimation of urban surface emissivity, which is primarily based on spectral mixture analysis. The urban surface is assumed to consist of three fundamental land cover components, namely vegetation, impervious and soil that refer to the urban environment. Due to the complexity of the urban environment, the impervious component is further divided into two land cover components: high-albedo and low-albedo impervious. Emissivity values are assigned to each component based on emissivity distributions derived from the landsat8. Following the proposed method, by combining the fraction of each cover component with a respective emissivity value, an overall emissivity for a given pixel is estimated. The methodology is applicable to visible and near infrared satellite imagery. Therefore it could be used to derive emissivity maps from most multispectral satellite sensors. The proposed approach was applied to landsat8 multispectral data for the city of Darkhan-Uul, Mongolia. Emissivity, as well as land surface temperature maps in the spectral region of 10.6 - 11.2 μm (landsat8 band 10) and 11.5-12.5 (landsat8 band 11) were derived.

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Доп.точки доступа:
Бохоева, Л. А. \отв. ред.\

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Tuya Sanjaa
Satellite based surface evapotranspiration estimation in Mongolia [] / Tuya Sanjaa, Jadamba Batbayar // VIII Международная конференция "Проблемы механики современных машин", посвященная 60-летию ВСГУТУ : сборник статей / Восточно-Сибирский государственный университет технологий и управления ; отв. ред. Л. А. Бохоева. - Улан-Удэ : Издательство ВСГУТУ, 2022. - С. 578-585. - Библиогр. в конце ст. . - ISBN 978-5-907599-05-5

ГРНТИ

38.47.15

Рубрики: Геология--Геоморфология--Монголия
Монголия
Кл.слова (ненормированные):
Проблемы механики современных машин -- эвапотранспирация -- спутниковая оценка -- тепловой баланс -- дистанционное зондирование -- Tuya Sanjaa -- Jadamba Batbayar -- Бохоева, Л. А.
Аннотация: The study of evapotranspiration (ET) is significant to physical process controlled by a number of interconnected environmental and eco-hydrological factors in arid and semi-arid region of Mongolia. The main objective of the study is to estimate the spatially distributed actual evapotranspiration using remotely sensed data and to compare the results as determined with meteorological data and ground based point measurements.The Normalized Difference Vegetation Index (NDVI), Land surface temperature (LST) are drived from MODIS data, every 10-day averages climatic data, period full 3 years from 2001 to 2003 and ground pan measurement data of evapotranspiration only in growing season (May to September, 2003), pertaining to three meteorological stations located in Mongolian steppe are used in this analysis and model. We developed new simplified satellite based evapotranspiration estimation model in Mongolian steppe area based on physics of Bowen ratio classical method. The identified factors were related to physical processes influencing the evapotranspiration. The results of the study reveal that the variables, air, surface temperature, soil moisture, wind speed are those with the most influence in the evapotranspiration process in arid and semiarid environment of Mongolian steppe area. In this study we used satellite MODIS data in growing season, June-August, 2021 for testing developed new simplified satellite based evapotranspiration estimation model in Mongolian.

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Доп.точки доступа:
Бохоева, Л. А. \отв. ред.\; Jadamba Batbayar

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