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    Tytuł:
    Identification of potential groundwater recharge sites in a semi-arid region of Pakistan using Saaty’s Analytical Hierarchical Process (AHP)
    Autorzy:
    Suliman, Muhammad
    Samiullah, Khan
    Ali, Muhammad
    Powiązania:
    https://bibliotekanauki.pl/articles/2055773.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    Saaty’s Analytical Hierarchical Process (AHP)
    weighted overlay analysis
    semi-arid region
    groundwater potential sites
    GIS and remote sensing
    Opis:
    Groundwater is a precious source of fresh water and a major component of the entire water supply. Both water quality and quantity could be satisfied by evaluating the groundwater potential sites (GWPS). This paper analyzes the ground-water potentials in a semi-arid region of Khyber Pakhtunkhwa, Pakistan. It describes a standard methodology to identify and map GWPS using integrated Geographical Information System (GIS) and remote sensing (RS) methods. Eight parameters including elevation, slope, drainage density, lineaments density, soil, geology, land use/land cover and rainfall were integrated to explore areas with groundwater holding capability. GWPS were delineated through subjective weights assigned after coupling various thematic layers using Saaty’s Analytical Hierarchical Process (AHP). The modelled GWPS were cross-checked with tube wells data. The result indicates that the central part of the study area has good potential for groundwater reserves/exploitation, where the factors i.e. moderate to high drainage density, sedimentary sequence of alluvial plain, low elevation etc. discern the central portion of the study area as a suitable site for groundwater. This study suggests that the applied method proves to be very significant and reliable tool for timely assessment of quality assured evaluation of groundwater resources. This study could be a systematic guide for future investigations for water related explorations, especially in semi-arid environments.
    Źródło:
    Geomatics and Environmental Engineering; 2022, 16, 1; 53--70
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of land use/land cover change in Adei watershed, Central Highlands of Ethiopia
    Analiza użytkowania i pokrycia terenu w zlewni Adei na Wyżynie Centralnej w Etiopii
    Autorzy:
    Dinka, Megersa Olumana
    Chaka, Degefa Dhuga
    Powiązania:
    https://bibliotekanauki.pl/articles/292985.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    change analysis
    GIS
    image analysis
    land use and land cover
    remote sensing
    analiza obrazów
    analiza zmian
    teledetekcja
    użytkowanie i pokrycie terenu
    Opis:
    Land use/land cover changes (LULCC) at Adei watershed (Ethiopia) over a period of 23 years (1986–2009) has been analysed from LANDSAT imagery and ancillary data. The patterns (magnitude and direction) of LULCC were quantified and the final land use/land cover maps were produced after a supervised classification with appropriate post-processing. Image analysis results revealed that the study area has undergone substantial LULCC, primarily a shift from natural cover into managed agro-systems, which is apparently attributed to the increasing both human and livestock pressure. Over the 23 years, the aerial coverage of forest and grass lands declined by 8.5% and 4.3%, respectively. On the other hand, agricultural and shrub lands expanded by 9.1% and 3.7%, respectively. This shows that most of the previously covered by forest and grass lands are mostly shifted to the rapidly expanding farm land use classes. The findings of this study suggested that the rate of LULCC over the study period, particularly deforestation due to the expansion of farmland need to be given due attention to maintain the stability and sustainability of the ecosystem.
    Zmiany użytkowania i sposobu pokrycia terenu w zlewni Adei (Etiopia) analizowano w ciągu 23 lat (1986–2009) z użyciem obrazów LANDSAT i dodatkowych danych. Oceniono ilościowo schemat zmian (wielkość i kierunek) oraz wykonano mapy użytkowania i pokrycia terenu po odpowiednim przetworzeniu danych. Analiza obrazów ujawniła, że badany obszar podlegał znaczącym zmianom – głównie od naturalnego pokrycia do gospodarczych agrosystemów, co wynikało z rosnącej presji ze strony człowieka i zwierząt gospodarskich. W ciągu 23 lat powierzchnie leśne i trawiaste zmalały odpowiednio o 8,5 i 4,3%, a powierzchnie użytkowane rolniczo i tereny zakrzaczone powiększyły się odpowiednio o 9,1 i 3,7%. Oznacza to, że tereny uprzednio zajmowane przez lasy i systemy trawiaste zostały zajęte przez tereny rolnicze. Przeprowadzone badania sugerują, że należy zwrócić szczególną uwagę na szybkie zmiany pokrycia powierzchni terenu, aby utrzymać stabilność i trwałość ekosystemu.
    Źródło:
    Journal of Water and Land Development; 2019, 41; 146-153
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Earth observation and geospatial techniques for soil salinity and land capability assessment over Sundarban Bay of Bengal Coast, India
    Autorzy:
    Das, S.
    Choudhury, M. R
    Nagarajan, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/145537.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    właściwości gleby
    teledetekcja
    dane satelitarne
    Landsat
    GIS and Remote Sensing
    kriging
    soil properties
    land capability
    Opis:
    To guarantee food security and job creation of small scale farmers to commercial farmers, unproductive farms in the South 24 PGS, West Bengal need land reform program to be restructured and evaluated for agricultural productivity. This study established a potential role of remote sensing and GIS for identification and mapping of salinity zone and spatial planning of agricultural land over the Basanti and Gosaba Islands(808.314sq. km) of South 24 PGS. District of West Bengal. The primary data i.e. soil pH, Electrical Conductivity (EC) and Sodium Absorption ratio (SAR) were obtained from soil samples of various GCP (Ground Control Points) locations collected at 50 mts. intervals by handheld GPS from 0–100 cm depths. The secondary information is acquired from the remotely sensed satellite data (LANDSAT ETM+) in different time scale and digital elevation model. The collected field samples were tested in the laboratory and were validated with Remote Sensing based digital indices analysisover the temporal satellite data to assess the potential changes due to over salinization. Soil physical properties such as texture, structure, depth and drainage condition is stored as attributes in a geographical soil database and linked with the soil map units. The thematic maps are integrated with climatic and terrain conditions of the area to produce land capability maps for paddy. Finally, The weighted overlay analysis was performed to assign theweights according to the importance of parameters taken into account for salineareaidentification and mapping to segregate higher, moderate, lower salinity zonesover the study area.
    Źródło:
    Geodesy and Cartography; 2016, 65, 2; 163-192
    2080-6736
    2300-2581
    Pojawia się w:
    Geodesy and Cartography
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Examining Landuse Pattern of Akinyele Local Government Area of Oyo State Using Remote Sensing and GIS Techniques
    Autorzy:
    Amusa, I. A.
    Akinpelu, A. A.
    Oludiji, S. M.
    Oyebanji, S. T.
    Powiązania:
    https://bibliotekanauki.pl/articles/1839383.pdf
    Data publikacji:
    2021
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Remote Sensing
    resolution
    Kappa Index
    Confusion matrix and classification
    Geographic Information Systems
    GIS
    Opis:
    The study looked at the application of Remote Sensing and Geographic Information Systems in the landuse pattern in Akinyele Local Government Area of Oyo state; this is with the aim of classifying the area into the four basic classes observed in the study area. Landsat8 imagery with 30m by 30m resolution within path 191 and row 55 was downloaded, administrative boundary of the local government was used to clip the image using ArcGIS software and bands’ combination was done. Bands 7, 5 and 4 were combined to produce the composite image that gives natural colours for easy identification of features using supervised classification method. The study area was categorized into built up, vegetation, bare ground and water body. During the course of the study, it was gathered that the area has 56.84% vegetation, 39.61% built up, 3.32% bare ground and 0.23% water body. Confusion matrix was adopted for accuracy assessment. At the end, it was shown that the study had an overall classification accuracy of 83.67% and the Kappa Index is substantial at 0.77. Therefore, it was concluded that supervised image classification method is suitable for landuse classification and the results obtained are reliable.
    Źródło:
    World Scientific News; 2021, 162; 16-28
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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