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    Wyświetlanie 1-8 z 8
    Tytuł:
    Linear swelling test (LST) of clay formation under the influence of newly developed drilling fluids with the addition of cationic polymers
    Autorzy:
    Wysocki, S.
    Wiśniowski, R.
    Ryznar, D.
    Gaczoł, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/298599.pdf
    Data publikacji:
    2015
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    drilling mud
    polymers
    shales
    LST
    Opis:
    This paper shows research of Linear Swelling Test (LST) of shale rocks under the influence of three drilling muds with different cationic polymers. Tested polymers have been synthetized at the Drilling, Oil and Gas Faculty of AGH UST Krakow. Research findings indicate that synthesized polymers as well as developed on its base drilling fluids effectively inhibit hydration and prevent the disintegration of clay formation.
    Źródło:
    AGH Drilling, Oil, Gas; 2015, 32, 4; 693-701
    2299-4157
    2300-7052
    Pojawia się w:
    AGH Drilling, Oil, Gas
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determining the influence of population density on the land surface temperature based on remote sensing data and GIS techniques: application to Prizren, Kosovo
    Autorzy:
    Dushi, Mimoza
    Berila, Albert
    Powiązania:
    https://bibliotekanauki.pl/articles/35547861.pdf
    Data publikacji:
    2022
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    population density
    LST
    SUHI
    GIS
    remote sensing
    Prizren
    Opis:
    The whole study was conducted for the Municipality of Prizren and aims to to determine the effect that the population density has on land surface temperature (LST). All this was achieved through the connection of land surface temperature (LST) and population density. The free Landsat 8 satellite image downloaded from the United States Geological Survey website was used and then processed using GIS and remote sensing techniques. To understand the relationship between population density and LST, we performed a regression analysis. This analysis showed a strong positive relationship with a value of r = 0.8206, emphasizing the important role that the population has in creating empowering areas that generate surface urban heat island (SUHI) effect. The results of the study clearly showed that in the northern, central, and western parts there are pixels with high LST values. This presentation corresponds with the population density, which means that it is precisely the actions of the population that help generate, display, and strengthen the harmful effect of the SUHI. The map with areas of high LST pixels are of great importance to the policymakers and urban planners of Prizren so that they can orient themselves in these areas and take all actions necessary to minimize this harmful effect which is worrying citizens. If it continues with unplanned development, the peripheral parts of Prizren are seriously endangered by the damage of the spaces which offer protection (green spaces) from the SUHI phenomenon.
    Źródło:
    Scientific Review Engineering and Environmental Sciences; 2022, 31, 1; 47-62
    1732-9353
    Pojawia się w:
    Scientific Review Engineering and Environmental Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessing the relationship of lst, ndvi and evi with land cover changes in the lagos lagoon environment
    Autorzy:
    Alademomi, Alfred S.
    Okolie, Chukwuma J.
    Daramola, Olagoke E .
    Agboola, Raphael O .
    Salami, Tosin J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1050894.pdf
    Data publikacji:
    2020-09-30
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    Coastal Environment
    Remote Sensing
    Land Cover
    LST
    NDVI
    EVI
    Lagos Lagoon
    Opis:
    The Lagos Lagoon is under increased pressure from growth in human population, growing demands for natural resources, human activities, and socioeconomic factors. The degree of these activities and the impacts are directly proportional to urban expansion and growth. In the light of this situation, the objectives of this study were: (i) to estimate through satellite imagery analysis the extent of changes in the Lagos Lagoon environment for the periods 1984, 2002, 2013 and 2019 using Landsat-derived data on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI); and (ii) to evaluate the relationship between the derived data and determine their relative influence on the lagoon environment. The derived data were subjected to descriptive statistics, and relationships were explored using Pearson’s correlation and regression analysis. The effect of land cover on LST was measured using the Contribution Index and a trend analysis was carried out. From the results, the mean LSTs for the four years were 22.68°C (1984), 24.34°C (2002), 26.46°C (2013) and 28.40°C (2019). Generally, the mean LSTs is in opposite trend with the mean NDVIs and EVIs as associated with their dominant land cover type. The strongest positive correlations were observed between NDVI and EVI while NDVI had the closest fit with LST in the regression. Built-up areas have the highest contributions to LST while vegetation had a cooling influence. The depletion in vegetative cover has compromised the biodiversity of this environment and efforts are required to reverse this trend.
    Źródło:
    Quaestiones Geographicae; 2020, 39, 3; 111-123
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatiotemporal evolution of land surface temperature of Lake Oubeira catchment, northeastern Algeria
    Przestrzenne i czasowe zmiany temperatury powierzchni ziemi w zlewni jeziora Oubeira w północnowschodniej Algierii
    Autorzy:
    Rezzag Bara, Chouaib
    Djidel, Mohamed
    Medjani, Fethi
    Labar, Sofiane
    Powiązania:
    https://bibliotekanauki.pl/articles/292503.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    emissivity
    lake basin
    land surface temperature (LST)
    normalized different vegetation index (NDVI)
    SEBAL
    water surface temperature (WST)
    emisyjność
    model SEBAL
    temperatura powierzchni wody (WST)
    temperatura powierzchni ziemi (LST)
    zlewnia jeziora
    znormalizowany różnicowy wskaźnik wegetacji (NDVI)
    Opis:
    The difficulties of access and detailed measurements of land surface temperature (LST) and water surface temperature (WST) especially in wetlands made the use of remote sensing data as one of the sources and techniques to estimate many climate elements including surface temperature and surface emissivity (ɛ). This study aims to estimate the surface temperature of the wetland of Lake Oubeira located in northeastern Algeria and their spatiotemporal evolution in both land and water. Landsat OLI-TIRS images in two dates (April and September 2016) obtained from the USGS have been used in this work, and forms the basis of a series of operations to obtain the final LST: development of the normalized difference vegetation index (NDVI), conversion of the digital number (DN) of the thermal infrared band (TIR) into spectral radiance as well as the calculation of the effective luminosity temperature of the sensor from the spectral radiation and surface emissivity (ɛ). The results show that the LST varies in space and time (from 16 to 31°C in April and from 24 to 41°C in September). This implies that the absorption of the equilibrium temperature at land cover depends on the optical properties of the surface, which are essentially determined by its water content, colour and morphology. At the same time, the water surface is the lowest land cover temperature, which also has a spatial variation (from 19 to 25°C in April and from 26 to 34.5°C in September) induced by atmospheric temperature, wind direction and speed and the depth of the lake.
    Trudności w dostępie do badanych obszarów i w wykonaniu szczegółowych pomiarów temperatury powierzchni ziemi (LST) i wody (WST), szczególnie w środowiskach podmokłych, sprawiają, że dane pozyskane metodą teledetekcji są źródłem informacji do szacowania elementów klimatu takich jak temperatura powierzchni i emisyjność (ɛ). Celem przedstawionych badań było określenie temperatury powierzchni siedlisk podmokłych jeziora Oubeira w północnowschodniej Algierii i jej zmian zarówno na ziemi, jak i w wodzie. W pracy wykorzystano obrazy Landsat OLI-TIRS z dwóch terminów (kwiecień i wrzesień 2016 r.) uzyskane z United States Geological Survey (USGS). Stanowiły one podstawę działań zmierzających do uzyskania końcowej temperatury LST – uzyskanie znormalizowanego różnicowego wskaźnika wegetacji (NDVI), konwersję numeru DN termicznego pasma podczerwieni (TIR) do spektralnej radiancji oraz obliczenie efektywnej temperatury barwowej sensora ze spektralnego promieniowania i emisyjności powierzchniowej (ɛ). Wyniki wskazują, że LST zmienia się w czasie i w przestrzeni (od 16 do 31°C w kwietniu i od 24 do 41°C we wrześniu). Oznacza to, że absorpcja temperatury przez pokrycie powierzchni ziemi zależy od optycznych właściwości powierzchni, które są określone przez zawartość wody, barwę i morfologię. Najniższą temperaturę wykazuje powierzchnia wody. Temperatura wody także ulega zmianom (od 19 do 25°C w kwietniu i od 26 do 34.5°C we wrześniu), wywołanym przez temperaturę powietrza, kierunek i prędkość wiatru oraz głębokość jeziora.
    Źródło:
    Journal of Water and Land Development; 2019, 43; 151-157
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Monitoring the change in land surface temperature and urban areas using Satellite images. Case study Kafr El-Sheikh City – Egypt
    Autorzy:
    Zeidan, Zaki M.
    Beshr, Ashraf A. A.
    Soliman, Sanaa S.
    Powiązania:
    https://bibliotekanauki.pl/articles/145306.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    obszar miejski
    zdjęcia satelitarne
    prognozowanie
    urban area
    ERDAS Imagine software
    satellite image
    LST
    ArcGIS 10.3
    forecasting
    Opis:
    In recent years, the rate of urban growth has increased rapidly especially in Egypt, due to the increase in population growth. The Egyptian government has set up new cities and established large factories, roads and bridges in new places to solve this trouble. This paper investigates the change monitoring of land surface temperature, urban and agricultural area in Egypt especially Kafr EL-Sheikh city as case study using high resolution satellite images. Nowadays, satellite images are playing an important role in detecting the change of urban growth. In this paper, cadastral map for Kafr El-Sheikh city with scale 1:5000, images from Landsat 7 with accuracy 30 meters; images from Google Earth with accuracy 0.5 meter; and images from SAS Planet with accuracy 0.5 m are used where all images are available during the study period (for year’s 2003, 2006, 2009, 2012, 2015 and 2017). The analysis has been performed in a platform of Geographical Information System (GIS) configured with Remote Sensing system using ArcGIS 10.3 and ERDAS Imagine image processing software. From the processing and analysis of the specified images during the studied time period, it is found that the building area was increased by 28.8% from year 2003 up to 2017 from Google Earth images and increased by percentage 34.4% from year 2003 up to year 2017 from supervised Landsat 7 images but for unsupervised Landsat 7 images, the building area was increased by percentage 35.9%. In this study, land surface temperature (LST) was measured also from satellite images for different years through 2003 until 2017. It is deduced that the increase in the building area (urban growth) in the specified city led to increase the land surface temperature (LST) which will affect some agricultural crops. Depending on the results of images analysis, Forecasting models using different algorithms for the urban and agricultural area was built. Finally, it is deduced that integration of spacebased remote sensing technology with GIS tools provide better platform to perform such activities.
    Źródło:
    Geodesy and Cartography; 2019, 68, 2; 389-404
    2080-6736
    2300-2581
    Pojawia się w:
    Geodesy and Cartography
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluating the impact of expansion on urban thermal surroundings: A case study of Lahore Metropolitan city, Pakistan
    Autorzy:
    Khan, U.A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2049676.pdf
    Data publikacji:
    2020
    Wydawca:
    Fundacja na Rzecz Młodych Naukowców
    Tematy:
    land cover
    land use
    urban sprawl
    thermal environment
    landscape change
    surface temperature
    spectral radiance measurement
    Pakistan
    Landscape Changes
    LULC
    LST
    Opis:
    Urbanization directly affects the existing infrastructure, landscape modification, environmental contamination and traffic pollution especially if there is lack of urban planning. Recently, the rapid urban sprawl has resulted in less developed green areas and has devastating environmental consequences. This study was aimed to study the past urban expansion rates and Measure LST from satellite data. The Land use land cover (LULC) maps of years 1996, 2010, 2013, and 2017 were generated using Landsat satellite images. Four main classes i.e. water, urban, bare land and vegetation were identified using unsupervised classification with iterative self-organizing data analysis (isodata) technique. The LST from satellite thermal data can be derived from different procedures:atmospheric, radiometric calibrations and surface emissivity corrections, classification of spatial changeability in land-cover. Different methods and formulas were used in the algorithm that successfully retrieves the land surface temperature to help us study the thermal environment of the ground surface. To verify the algorithm, the land surface temperature and the near-air temperature were compared. The results showed that, From 1996-2017 urban areas increased to about considerable increase of about 48%.few areas of city also shown in reduction in LST from year 1996-2017that actually began their transitional phase from rural to urban LULC.Mean temperature of city increased averagely about 1ºC each year in the month of October. The green and vegetative areas witnessed a decrease in area while higher number of pixels increased in urban class.
    Źródło:
    Environment, Earth and Ecology; 2020, 4, 1; 38-49
    2543-9774
    2451-4225
    Pojawia się w:
    Environment, Earth and Ecology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of remote sensing as an indicator of the urban heat island effect: the case of the municipality of Guelma (north-east of Algeria)
    Autorzy:
    Khallef, Boubaker
    Powiązania:
    https://bibliotekanauki.pl/articles/24201205.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
    Tematy:
    Landsat 8
    LST
    land surface temperature
    NDVI
    normalized difference vegetation index
    NDBI
    Guelma
    Algeria
    temperatura powierzchni ziemi
    znormalizowany różnicowy wskaźnik wegetacji
    Kalima
    Algieria
    Opis:
    The main objective of this study is to show which of the LST-NDVI and LST-NDBI relationships can determine the most accurate index that can be used as an indicator of the effects of urban heat islands in the municipality of Guelma, using Landsat data. 8 OLI/TIRS and the geographic information system. The application of the calculation formulas made it possible to extract the Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built up Index (NDBI) of the municipality of Guelma for the four seasons of 2019. This calculation led to the determination of the relationship between all three indicators. The results obtained show a strong correlation between the LST and the NDBI for the four seasons of the year. They suggest that the NDBI is an accurate indicator of the heat island effect in Guelma. This indicator can serve as a tool for future urban planning by those in charge of this department. However, there is currently and urgent need to strengthen strategies for reducing the effects of urban heat islands in order to preserve the quality of urban life of the inhabitants and by setting up emergency programs.
    Źródło:
    Geomatics, Landmanagement and Landscape; 2023, 3; 61--72
    2300-1496
    Pojawia się w:
    Geomatics, Landmanagement and Landscape
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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