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    Wyświetlanie 1-4 z 4
    Tytuł:
    Research methods for improving satellite images based on Pan-Sharpening
    Autorzy:
    Dorozhynskyy, O.
    Obroslak, R.
    Stusyak, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/100645.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
    Tematy:
    satelite images
    Erdas Imagine
    spatial resolution
    pansharpening
    zdjęcie satelitarne
    rozdzielczość przestrzenna
    Opis:
    The authors of the article consider five classic methods to improve images with pan sharpening and it present their mathematical models and technological schemes, the estimation of their positive effects both on color distortion and fragmentation in spatial resolution. Results of impact methods were observed and compared in two sofware products: Erdas Imagine 10.0 and ArcGIS 10.2. For comparison were used satellite images with ultrahigh spatial resolution and high spatial resolution.
    Źródło:
    Geomatics, Landmanagement and Landscape; 2015, 3; 29-43
    2300-1496
    Pojawia się w:
    Geomatics, Landmanagement and Landscape
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of sediment yield and conservation practices in Akaki watershed, Upper Awash Basin, Ethiopia
    Autorzy:
    Zeberie, Wondimu
    Powiązania:
    https://bibliotekanauki.pl/articles/1031690.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Akaki watershed
    ERDAS Imagine
    LULC
    MUSLE
    SWAT
    Upper Awash Basin
    sediment yield
    Opis:
    Changes in land use / land cover, coupled with poor management systems, can result in a high rate of soil erosion and increased sediment transport by changing the extent and structure of runoff and sediment yield. The purpose of this study was to assess sediment yield and conservation practices in the Akaki watershed using the Soil and Water Assessment Tool (SWAT) model. The watershed has been severely degraded due to increasing urbanization, deforestation, careless use of land and water resources that have led to soil erosion. MUSLES were used to estimate sediment yield in watersheds. SWAT has been used to delineate the watershed and to analyze the slope of the watershed, soils and land uses. In addition, ground control points, interviews and field observations were conducted to collect data on the effects of soil erosion and the status of existing conservation measures. The average annual soil loss in the study area is estimated at 2.12 tonnes / ha / year due to the high erosivity of rainfall in the region. In addition, the results showed a direct relationship between precipitation and sediment yield. Spatial variability of sediment yield was performed using simulated sediment yield results for LULC generated. Also based on the spatial outcome for critical sub-watersheds, the design and development of best management practices were proposed under different scenarios. The scenarios showed that the average annual reduction in sediment yield at the sub-basins of hot spots after the application of filter belts, terraces and stone bunds was 75.6%, 68.8% and 69.6% respectively, 4% of sediment reduction. Therefore, the placement of filter strips for the Akaki catchment should be developed and encouraged for effective sediment reduction.
    Źródło:
    World News of Natural Sciences; 2020, 28; 103-120
    2543-5426
    Pojawia się w:
    World News of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determining the influence of the earthquake on the change(s) of objects using remote sensing data
    Autorzy:
    Chetverikov, B.
    Babiy, L.
    Dorozhynskyy, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/100384.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
    Tematy:
    aerial image
    space image
    Erdas Imagine
    vector layer
    classification
    zdjęcie lotnicze
    trzęsienie ziemi
    Opis:
    Two methods of determining changes of objects (structures) using remote sensing data obtained in different times are considered in this article. The comparison of the percentage of destroyed buildings as a consequence of the earthquake in L'Aquila city (Italy) was implemented. For comparison two ways of data collection were used: obtaining data by the digitalization of objects before and after the disaster (using MapInfo software) and by automatic image classification using a special module Delta Cue (Erdas software).
    Źródło:
    Geomatics, Landmanagement and Landscape; 2013, 3; 7-15
    2300-1496
    Pojawia się w:
    Geomatics, Landmanagement and Landscape
    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
      Wyświetlanie 1-4 z 4

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