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Detection and evaluation of long-term Land Use/Cover Changes using Landsat satellite data. A case in the Ahafo Ano Southwest District of Ghana

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F25%3A10510731" target="_blank" >RIV/00216208:11310/25:10510731 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=uPcipOJsCE" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=uPcipOJsCE</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/geosc-2025-0012" target="_blank" >10.2478/geosc-2025-0012</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection and evaluation of long-term Land Use/Cover Changes using Landsat satellite data. A case in the Ahafo Ano Southwest District of Ghana

  • Original language description

    This study examines Land Use and Land Cover (LULC) changes over a 30-year period (1994-2024) in the Ahafo Ano Southwest District of Ghana using Landsat imagery from 1994, 2004, 2014, and 2024. Supervised classification based on the Maximum Likelihood algorithm was applied to classify the images into five LULC categories: dense vegetation, sparse vegetation, wetland, bare land, and built-up area. The classification results achieved overall accuracies above 95% with Kappa coefficients of approximately 0.92. The results indicate a substantial expansion of built-up areas, sparse vegetation, and bare land, occurring at the expense of dense vegetation and wetlands. These changes are primarily associated with increasing human activities, particularly agricultural expansion and urbanization, which corresponds with population growth in the study area. The findings provide important insights for land-use planning and the formulation of sustainable development policies aimed at enhancing forest cover, conserving ecosystems, and mitigating carbon stock loss.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    GeoScape

  • ISSN

    1802-1115

  • e-ISSN

    1802-1115

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    18

  • Pages from-to

    160-177

  • UT code for WoS article

    001650671900006

  • EID of the result in the Scopus database

    2-s2.0-105026687289