Assessing land use and land cover change in the Wassa West District of Ghana using remote sensing

Kusimi, John Manyimadin

doi:10.1007/s10708-008-9172-6

Cited by 79 publications

(70 citation statements)

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“…The results of the study indicate that deforestation in the Bonsa catchment is widespread, confirming the previous land cover study by Kusimi (2008). The present study shows that between 1986 and 2011, evergreen forest and secondary forest reduced by 25% and 28%, respectively, while mining areas increased over two-fold and settlements and shrubs/farms increased more than three and four-fold, respectively ( Table 3 Table 4).…”

Section: Land Cover and The Drivers Of Changessupporting

confidence: 89%

“…The global factors include globalization of agriculture, urbanization, international trade regimes and global politics, while the local factors include population growth, urbanization, immigration, economic development and government policy (Sage, 1994 (Barbier, 2000) and increased foreign direct investment in the mining, timber and agricultural industries. Kusimi (2008) provided a discussion on how these driving forces have influenced land use changes within and around the Bonsa catchment.…”

Section: Land Cover and The Drivers Of Changesmentioning

confidence: 99%

“…Therefore, for settlements, especially in the Tarkwa urban area, three main drivers namely (i) population growth (both natural growth and immigration), (ii) increase in per capita income and (iii) increases in mining activities, jointly influenced its expansion. According to Kusimi (2008) mining influenced population growth and urbanization by attracting people from other towns and cities in search of mining-based jobs The expansion of settlements, puts further pressure on the surrounding rural areas to produce more food to feed urban dwellers and more cash crops to pay for the importation of foreign products, which are associated with urban populations (Sage, 1994). The increased demand from urban settlements further causes the conversion of more forested lands into food and cash crop farms, thereby increasing the rates of deforestation.…”

Section: Land Cover and The Drivers Of Changesmentioning

confidence: 99%

“…Previuos studies (Kusimi, 2008;Schueler et al, 2011; Kumi-Boateng et al, 2012) within the Ankobra River basin of the Western region of Ghana indicates that there is extensive deforestation, as a result of increasing urbanisation, mining and farming. Even though these studies analysed land cover changes for the Wassa West District within the Ankobra River basin (Kusimi, 2008;Schueler et al, 2011; Kumi-Boateng et al, 2012), none covered the entire Bonsa sub-catchment nor applied the results of the studies to project potential future land use changes, as well as assessing the impacts of the land use changes on catchment hydrology.…”

Section: Introductionmentioning

confidence: 99%

“…Even though these studies analysed land cover changes for the Wassa West District within the Ankobra River basin (Kusimi, 2008;Schueler et al, 2011; Kumi-Boateng et al, 2012), none covered the entire Bonsa sub-catchment nor applied the results of the studies to project potential future land use changes, as well as assessing the impacts of the land use changes on catchment hydrology. As a first stage in projecting potential future land use changes and assesing their impacts on Bonsa catchment hydrology, a more recent and multi-temporal land cover information for the entire catchment is needed.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Land Cover Changes in the Bonsa Catchment, Ankobra Basin, Ghana

Aduah¹

2015

Appl Ecol Env Res

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PBAG x01, 3209, Scottsville, Pietermaritzburg,Abstract. Multi-temporal land cover changes in the Bonsa catchment of the Ankobra Basin in Ghana were determined using four satellite images from 1986, 1991, 2002 and 2011. The results indicate that evergreen forest is the largest class occupying an area of 68% in 1986, 62% in 1991, 50% in 2002 and 51% in 2011 and during the past 26 years, the largest land cover change has been the conversion of evergreen and secondary forests to shrubs/farms, mining areas and settlements. During this period, mining areas increased over two-fold, while settlements and shrubs/farms increased more than three and four-fold, respectively. This resulted in increasing annual deforestation rate of 0.33% between 1986 and 1991, 0.70% between 1991 and 2002 and 2% between 2002 and 2011. The results suggests that the drivers of the land cover changes in the Bonsa catchment, are both local and global and include, international trade, local population growth, agriculture extensification and urbanization. The identified land cover changes have the potential to impact negatively on the hydrological regimes of the Bonsa River and the local communities by leading to flooding, soil erosion and the siltation and pollution of the river during peak seasons and the scarcity of water during dry seasons. Therefore, the maps and statistics generated can be applied to assess the impacts of the land use changes on the local hydrology and provide a better basis for future land use planning. Through these findings the importance of multi-temporal analysis of satellite imagery for planning in data poor regions is highlighted.

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Section: Land Cover and The Drivers Of Changessupporting

confidence: 89%

Section: Land Cover and The Drivers Of Changesmentioning

confidence: 99%

Section: Land Cover and The Drivers Of Changesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Land Cover Changes in the Bonsa Catchment, Ankobra Basin, Ghana

Aduah¹

2015

Appl Ecol Env Res

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Mapping artisanal and small-scale gold mining in Senegal using Sentinel-2 data

Ngom

Mbaye

Baratoux

et al. 2020

Preprint

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Artisanal and small-scale gold mining (ASGM) represents a significant economic activity for communities in developing countries. In southeastern Senegal, this activity has increased in recent years and has become the main source of income for the local population. However, it is also associated with negative environmental, social, and health impacts. Considering the recent development of ASGM in Senegal and the difficulties of the government in monitoring and regulating this activity, this article proposes a method for detecting and mapping ASGM sites in Senegal using Sentinel 2 data and the Google Earth Engine. Two artisanal mining sites in Senegal are selected to test this approach. Detection and mapping are achieved following a processing pipeline. Principal component analysis (PCA) is applied to determine the optimal period of the year for mapping. Separability and threshold (SEaTH) is used to determine the optimal bands or spectral indices to discriminate ASGM from other land use. Finally, automatic classification and mapping of the scenes are achieved with support vector machine (SVM) classifier. The results are then validated based on field observations. The PCA and examination of spectral signatures as a function of time indicate that the best period for discriminate ASGM sites against other types of land use is the end of dry season, when vegetation is minimal. The classification results are presented as a map with different categories of land use. This method could be applied to future Sentinel scenes to monitor the evolution of mining sites and may also be extrapolated to other relevant areas in the Sahel.

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Land degradation along a climatic gradient in Mali: Farmers' perceptions of causes and impacts

et al. 2020

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Land degradation (LD) in Mali is prevalent and leads to an enduring environmental and humanitarian crisis. Farmers' ecological knowledge has proven to be a valuable tool in addressing its challenges. How farmers perceive LD affects how they deal with induced risks, and their responses to these perceptions will shape restoration options and outcomes. Therefore, this study assessed farmers' perceptions of LD along a climatic gradient in three regions of Mali. We interviewed 270 farmers, and we analyzed their responses using descriptive statistics and Spearman rank-order correlation. We found that the respondents were aware of LD and have identified its key indicators and its impacts on their livelihoods. Moreover, we found that farmers' perceptions are not influenced by gender, age, or education level, but rather by agricultural training, participation in agricultural labor, the practice of fallowing, shortage of firewood, livestock, household size, appearance of some plant species and famine. Additionally, farmers' perceptions of LD vary along the climatic gradient as they correlate to different variables in each agro-ecological zone. LD's impacts, however, decrease in severity along the north-south gradient, although they are linked to the same variables. As LD is seen through a reduction of ecosystem services provisioning capacity because of the local communities' heavy dependence on natural resources, actions should be geared towards agronomic and vegetative land management options. Such actions should prioritize context-specific soil and water conservation techniques and proven indigenous practices.

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Assessing land use and land cover change in the Wassa West District of Ghana using remote sensing

Cited by 79 publications

References 1 publication

Analysis of Land Cover Changes in the Bonsa Catchment, Ankobra Basin, Ghana

Analysis of Land Cover Changes in the Bonsa Catchment, Ankobra Basin, Ghana

Mapping artisanal and small-scale gold mining in Senegal using Sentinel-2 data

Land degradation along a climatic gradient in Mali: Farmers' perceptions of causes and impacts

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