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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

—

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

GeoScape

ISSN

1802-1115

e-ISSN

1802-1115

Svazek periodika

19

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

18

Strana od-do

160-177

Kód UT WoS článku

001650671900006

EID výsledku v databázi Scopus

2-s2.0-105026687289