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    Wyświetlanie 1-5 z 5
    Tytuł:
    Geospatial assessment of land use and land cover dynamics in the mid-zone of Ghana
    Autorzy:
    Koranteng, Addo
    Adu-Poku, Isaac
    Donkor, Emmanuel
    Zawiła-Niedźwiecki, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2041498.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Badawczy Leśnictwa
    Tematy:
    LULC change
    anthropogenic pressures
    Cellular-Automata-Markov
    forest loss
    urbanization
    Opis:
    Land use and land cover (LULC) terrain in Ghana has undergone profound changes over the past years emanating mainly from anthropogenic activities, which have impacted countrywide and sub-regional environment. This study is a comprehensive analysis via integrated approach of geospatial procedures such as Remote Sensing (RS) and Geographic Information System (GIS) of past, present and future LULC from satellite imagery covering Ghana’s Ashanti regional capital (Kumasi) and surrounding districts. Multi-temporal satellite imagery data sets of four different years, 1990 (Landsat TM), 2000 (Landsat ETM+), 2010 (Alos and Disaster Monitoring Constellation-DMC) and 2020 (SENTINEL), spanning over a 30-year period were mapped. Five major LULC categories – Closed Forest, Open Forest, Agriculture, Built-up and Water – were delineated premised on the prevailing geographical settings, field study and remote sensing data. Markov Cellular Automata modelling was applied to predict the probable LULC change consequence for the next 20 years (2040). The study revealed that both Open Forest and Agriculture class categories decreased 51.98 to 38.82 and 27.48 to 20.11, respectively. Meanwhile, Built-up class increased from 4.8% to 24.8% (over 500% increment from 1990 to 2020). Rapid urbanization caused the depletion of forest cover and conversion of farmlands into human settlements. The 2040 forecast map showed an upward increment in the Builtup area up to 35.2% at the expense of other LULC class categories. This trend from the past to the forecasted future would demand that judicious LULC resolutions have to be made to keep Ghana’s forest cover, provide arable land for farming activities and alleviate the effects of climate change.
    Źródło:
    Folia Forestalia Polonica. Series A . Forestry; 2020, 62, 4; 288-305
    0071-6677
    Pojawia się w:
    Folia Forestalia Polonica. Series A . Forestry
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Historical and projected land-use / land cover changes of the Welmel River Watershed, Genale Dawa Basin, Ethiopia
    Autorzy:
    Ayalew, Solomon E.
    Nigussie, Tewodros A.
    Powiązania:
    https://bibliotekanauki.pl/articles/27312636.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    CA-Markov chain model
    change detection
    land use/land cover
    LULC
    Welmel Watershed
    Opis:
    Human activities on land have grown significantly changing the entire landscape, while most of the changes have occurred in the tropics. The change has become a serious environmental concern at the local, regional and global scales. The intensity, speed, and degree of land use / land cover (LULC) changes are nowadays quicker compared to the past because of the development of society. Moreover, the rapid increase in population resulted in disturbing a large number of landscapes on the Earth. The main objective of this study was to detect historical (1990-2020) and predicted (2020-2050) LULC changes in the Welmel River Watershed, which is located in the Genale-Dawa Basin, South Eastern Ethiopia. The dataset of 1990, 2005, and 2020 was generated from Landsat 5, Landsat 7 and Landsat 8 respectively to determine the historical LULC map. The result of this study revealed that agriculture/ settlement increased by 6.85 km2 ∙y-1, while forestland declined by 9.16 km2 ∙y-1 over the last 31 years between 1990 and 2020. In the coming 31 years (by 2050), if the existing trend of the LULC change continues, agriculture/settlement land is expected to increase from 290.64 km2 in 2020 to 492.51 km 2 in 2050 at the rate of 6.73 km2 ∙y-1, while forestland is expected to shrink from 690.48 km2 in 2020 to 427.01 km2 in 2050 by a rate of 8.78 km2 ∙y-1.
    Źródło:
    Journal of Water and Land Development; 2023, 58; 89--98
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analyzing the decadal transformation of the LULC from tillage to a townified area in the Lower Himalayan Region, Pakistan
    Autorzy:
    Anwar, Zartashia
    Alam, Arif
    Elahi, Noor
    Powiązania:
    https://bibliotekanauki.pl/articles/1841979.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    decadal transformation
    land use land cover change
    LULC
    Lower Himalayan region of Pakistan
    multi temporal satellite imagery
    Opis:
    Land use land cover change (LULC) has become part of the global science agenda and the understanding of LULC change is vital for planning sustainable management of natural resources. The study has employed multi- temporal satellite imagery to examine the LULC change in the Abbottabad District from 1989 to 2019. Images from Landsat-5, Landsat-7, and Landsat-8 Thematic Mapper (TM) for the same season were acquired from the USGS for the years of 1989, 1999, 2009 and 2019. The images were pre-processed by atmospheric correction, extraction of the study area and band composite. The supervised image classification using Maximum Likelihood Classifier and accuracy assessment were applied to prepare LULC maps of the Abbottabad District. In the last three decades, the study area witnessed number of changes in the pattern of LULC due to population growth, rapid urbanization and increased development of infrastructure, which cumulatively led to the emergence of new patterns being employed for land use. Results of the analysis involving the classified maps show that agricultural land and bare land have decreased, respectively 15.73% and 3.81%, whereas water resources have decreased significantly by 0.58%. This study reveals that GIS can be used as an informative tool to detect LULC changes. However, for planning and management, as well as to gain better insight into the human dynamics of environmental variations on the regional scale, it is crucial to have information about temporal LULC transformation patterns in the study area.
    Źródło:
    Journal of Water and Land Development; 2021, 50; 48-55
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria
    Autorzy:
    Aliyu, Yahaya A
    Youngu, Terwase T.
    Abubakar, Aliyu Z.
    Bala, Adamu
    Jesulowo, Christianah I.
    Powiązania:
    https://bibliotekanauki.pl/articles/1444929.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Warszawska. Wydział Geodezji i Kartografii
    Tematy:
    LULC
    change detection
    Landsat
    Cellular Automata Markov model
    Nigeria
    wykrywanie zmian
    program Landsat
    model Markowa
    automaty komórkowe
    Opis:
    For several decades, Nigerian cities have been experiencing a decline in their biodiversity resulting from rapid land use land cover (LULC) changes. Anticipating short/long-term consequences, this study hypothesised the effects of LULC variables in Akure, a developing tropical rainforest city in south-west Nigeria. A differentiated trend of urban LULC was determined over a period covering 1999–2019. The study showed the net change for bare land, built-up area, cultivated land, forest cover and grassland over the two decades to be -292.68 km2, +325.79 km2, +88.65 km2, +8.62 km2 and -131.38 km2, respectively. With a projected population increase of about 46.85%, the study identified that the built-up land cover increased from 1.98% to 48.61%. The change detection analysis revealed an upsurge in built area class. The expansion indicated a significant inverse correlation with the bare land class (50.97% to 8.66%) and grassland class (36.33% to 17.94%) over the study period. The study observed that the land consumption rate (in hectares) steadily increased by 0.00505, 0.00362 and 0.0687, in the year 1999, 2009 and 2019, respectively. This rate of increase is higher than studies conducted in more populated cities. The Cellular Automata (CA) Markovian analysis predicted a 37.92% growth of the study area will be the built-up area in the next two decades (2039). The 20-year prediction for Akure built-up area is within range when compared to CA Markov prediction for other cities across the globe. The findings of this study will guide future planning for rational LULC
    Źródło:
    Reports on Geodesy and Geoinformatics; 2020, 110; 29-38
    2391-8365
    2391-8152
    Pojawia się w:
    Reports on Geodesy and Geoinformatics
    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
      Wyświetlanie 1-5 z 5

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