New land-cover maps of Ghana for 2015 using Landsat 8 and three popular classifiers for biodiversity assessment

Hackman, Kwame Oppong; Gong, Peng; Wang, Jie

doi:10.1080/01431161.2017.1312619

Cited by 36 publications

(30 citation statements)

References 27 publications

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“…Crop land, savannah/shrubs, and bare soils were the three most dominant types in 1994; cropland, savannah/shrubs, and urban were most common in 2014. These trends are consistent with recently released land-cover maps (Hackman et al , 2017). As these patterns are largely consistent across the four buffer zones, the subsequent analysis focuses on the 25p buffer zone.…”

Section: Datasupporting

confidence: 91%

A spatial analysis of land use and cover change and agricultural performance: evidence from northern Ghana

Haile¹,

Signorelli

Azzarri³

et al. 2018

Envir. Dev. Econ.

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Using remotely sensed land-cover data in 1994 and 2014, and cross-sectional survey data in 2014, this study examines the association between land use and cover change and agricultural productivity in northern Ghana. We document a significant expansion of crop land and settlements (productive use) at the expense of natural vegetation cover. Land areas converted from natural cover to productive use have higher maize yield (0.17 tons per hectare) and harvest value (1,021 Ghanaian Cedi) compared with those converted from bare soil to productive cover. Moreover, areas that were covered by shrubs or savannah in 1994 were more productive in 2014 relative to bare soils in 1994. Although our data do not allow us to establish causality, the evidence suggests the importance of past land-cover conditions in affecting current agricultural performance, especially in resource-stricken settings where conservation and restoration practices are not as common.

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Section: Datasupporting

confidence: 91%

A spatial analysis of land use and cover change and agricultural performance: evidence from northern Ghana

Haile¹,

Signorelli

Azzarri³

et al. 2018

Envir. Dev. Econ.

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“…The study successfully applied conventional unsupervised (ISODATA) and supervised (MLC) algorithms to map food-crop land, forest, cocoa, oil palm, and other land-cover types in the mosaic landscape derived from 1986 and 2015 Landsat images, respectively. Contrary to earlier studies (Alo and Pontius 2008 ; Asare et al 2014 ; Kusimi 2015 ; Hackman et al 2017 ), this study separated cocoa from forest and other vegetation types in the landscape. It further enabled a finer scale of land-cover mapping in the landscape and analysis of the land transfers among them using conventional classifiers, which was a gap in existing studies.…”

Section: Discussionmentioning

confidence: 62%

“…Existing literature has also addressed landscape composition change in general (e.g., Margono et al 2012 ; Antwi et al 2014 ; Kusimi 2015 ), but studies that looked at the spatial-temporal dynamics of the expansion of agricultural commodities in mosaic landscapes are scarce (Abdullah and Nakagoshi 2006 ). The few studies addressing variations in tree-crop landscapes tend to amalgamate tree crops (cocoa and oil palm) with open forest (Alo and Pontius 2008 ; Adjei et al 2014 ; Antwi et al 2014 ; Kusimi 2015 ) or other forms of agriculture (Akinyemi 2013 ; Barima et al 2016 ; Koranteng et al 2016 ; Hackman et al 2017 ). Furthermore, there is little knowledge about the degree of conversions among cocoa and oil palm, and to other land uses (losses) or vice versa (gains), and the respective spatial patterns and processes underlying transitions in such landscapes.…”

Section: Introductionmentioning

confidence: 99%

Effects of Tree-crop Farming on Land-cover Transitions in a Mosaic Landscape in the Eastern Region of Ghana

Asubonteng

Pfeffer

Ros-Tonen

et al. 2018

Environmental Management

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Tree crops such as cocoa and oil palm are important to smallholders’ livelihoods and national economies of tropical producer countries. Governments seek to expand tree-crop acreages and improve yields. Existing literature has analyzed socioeconomic and environmental effects of tree-crop expansion, but its spatial effects on the landscape are yet to be explored. This study aims to assess the effects of tree-crop farming on the composition and the extent of land-cover transitions in a mixed cocoa/oil palm landscape in Ghana. Land-cover maps of 1986 and 2015 produced through ISODATA, and maximum likelihood classification were validated with field reference, Google Earth data, and key respondent interviews. Post-classification change detection was conducted and the transition matrix analyzed using intensity analysis. Cocoa and oil palm areas have increased in extent by 8.9% and 11.2%, respectively, mainly at the expense of food-crop land and forest. The intensity of forest loss to both tree crops is at a lower intensity than the loss of food-crop land. There were transitions between cocoa and oil palm, but the gains in oil palm outweigh those of cocoa. Cocoa and oil palm have increased in area and dominance. The main cover types converted to tree-crop areas are food-crop land and off-reserve forest. This is beginning to have serious implications for food security and livelihood options that depend on ecosystem services provided by the mosaic landscape. Tree-crop policies should take account of the geographical distribution of tree-commodity production at landscape level and its implications for food production and ecosystems services.

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“…"Closed forest" and "open forest" were classified using a land cover map of the Forestry Commission (2016b). Rubber plantations were classified using the land cover map of Hackman et al (2017) for Ghana. The fraction of palm oil plantations was identified in 500 × 500 m blocks, based on Sentinel remote sensing data processed by Satelligence (2017) and masked with the land use class "orchards" of Hackman et al (2017) for more precision.…”

Section: Underlying Land Cover and Land Use Mapmentioning

confidence: 99%

Contextualizing local landscape initiatives in global change: a scenario study for the high forest zone, Ghana

et al. 2020

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Integrated landscape management (ILM) has received increased interest to reconcile multiple conflicting demands on a landscape scale. ILM aims at addressing major interconnected global challenges, such as poverty, food security, deforestation, and climate change. A principal element of ILM is the consideration of multiple scales, harmonizing local-level needs and ambitions with those that derive from outside the landscape. ILM initiatives are most often initiated by local actors focusing on local priorities, thereby insufficiently realizing that the landscape is embedded in a wider macroeconomic and societal context. We contextualize a landscape initiative located in the high forest zone of southern Ghana, focusing on global socioeconomic and political developments that are expected to have an influence on the region. We built two “sustainability” scenarios for the period between 2015 and 2030, reflecting the demands and ambitions of local stakeholders (bottom-up) and of global environmental policy (top-down) for the region. We find that global climate and cocoa production priorities could induce synergies between food production, biodiversity conservation, and climate change mitigation at the scale of the case study region but could come at the cost of mixed forest systems that play an important role in livelihoods on the landscape scale. Land change scenarios can play a critical role in assessing and visualizing such interactions and provide a platform for discussion and negotiation on how to integrate different objectives in the design of landscape initiatives.

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New land-cover maps of Ghana for 2015 using Landsat 8 and three popular classifiers for biodiversity assessment

Cited by 36 publications

References 27 publications

A spatial analysis of land use and cover change and agricultural performance: evidence from northern Ghana

A spatial analysis of land use and cover change and agricultural performance: evidence from northern Ghana

Effects of Tree-crop Farming on Land-cover Transitions in a Mosaic Landscape in the Eastern Region of Ghana

Contextualizing local landscape initiatives in global change: a scenario study for the high forest zone, Ghana

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