Remote Sensing for Deforestation in Rural Areas of Ghana
DOI:
https://doi.org/10.47941/jags.1622Keywords:
Remote Sensing, Deforestation, Rural Areas, Conservation StrategiesAbstract
Purpose: The main objective of this study was to investigate remote sensing technology for deforestation in rural areas of Ghana.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings revealed that there exists a contextual and methodological gap relating to remote sensing for deforestation in rural areas of Ghana. Preliminary empirical review illuminated the multifaceted nature of deforestation in this region. It harnessed remote sensing technology and drew upon theories such as environmental determinism, Land-Use and Land-Cover Change (LUCC), and spatial diffusion to unveil the complex drivers and spatial patterns of deforestation. These findings underscore the crucial role of the natural environment, human activities, and diffusion processes in shaping deforestation dynamics. The study's relevance extends to policymakers, NGOs, and local communities, offering a foundation for evidence-based decision-making and sustainable land management practices that balance economic development with environmental conservation. Ultimately, this interdisciplinary approach enhances our understanding of deforestation and informs strategies to address this pressing environmental challenge.
Unique Contribution to Theory, Practice and Policy: Environmental Determinism Model, Land-Use and Land-Cover Change (LUCC) Theory and the Spatial Diffusion Theory may be used to anchor future studies on deforestation. Based on the study's findings on "remote sensing for deforestation in rural areas of Ghana," key recommendations include strengthening forest conservation policies, enhancing remote sensing capacity for monitoring, promoting community engagement and education on forest conservation, and emphasizing continued research and monitoring efforts to adapt and refine conservation strategies in response to evolving deforestation patterns and drivers. These recommendations aim to mitigate the impacts of deforestation, protect vital ecosystems, and support the livelihoods of local communities in rural Ghana.
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