Image processing and data analysis tools of a remote sensing-based euthrophication monitoring system
- Authors: Chamunorwa, Brighton
- Date: 2018
- Subjects: Eutrophication Image processing
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/10210 , vital:35376
- Description: Numerous surface water bodies in South Africa face serious challenges of eutrophication despite several initiatives from government to solve the problem. Government efforts have not been successful particularly because of three issues: 1) insufficient and inconsistent water quality data and 2) the costly nature of collecting this data. Third, the limited uptake of remote sensing based technologies in water quality management due to lack of skills, as well as the lengthy and complex procedures involved in retrieving water quality parameters. This thesis aims to explore the possibilities of using satellite data and simple software for mapping and collecting water quality data. The broad goal was to determine the function of software dedicated to meet the requirements of a remote sensing-based eutrophication-monitoring system. Two specific goal were set in this study: 1. To extract software requirements from available eutrophication management documentation. This was necessary to determine the functions of the dedicated software that matches the legislative requirements and 2. To determine a design capable of handling spatial and temporal requirement of a remote sensing based eutrophication-monitoring system. The study applied Goal Based Requirement Analysis Model [GBRAM] model to extract goals from the National Eutrophication Monitoring Programme [NEMP] implementation plan document and recent publication on remote sensing of water quality monitoring conducted in South Africa. Afterwards, the study used object-oriented concepts to model suitable data objects and processes to implement spatial-temporal requirements of a remote sensing-based eutrophication-monitoring system. Based on the study findings the following are essential functions of a remote sensing based eutrophication-monitoring system. A graphical user interface that allows the user to set up a monitoring programming. Automated image processing procedures. Data assessment methods used to generate eutrophication status information. Numerous display options for viewing data in several perfectives.
- Full Text:
- Date Issued: 2018
Image processing and data analysis tools of a remote sensing-based euthrophication monitoring system
- Authors: Chamunorwa, Brighton
- Date: 2018
- Subjects: Eutrophication Image processing
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/10210 , vital:35376
- Description: Numerous surface water bodies in South Africa face serious challenges of eutrophication despite several initiatives from government to solve the problem. Government efforts have not been successful particularly because of three issues: 1) insufficient and inconsistent water quality data and 2) the costly nature of collecting this data. Third, the limited uptake of remote sensing based technologies in water quality management due to lack of skills, as well as the lengthy and complex procedures involved in retrieving water quality parameters. This thesis aims to explore the possibilities of using satellite data and simple software for mapping and collecting water quality data. The broad goal was to determine the function of software dedicated to meet the requirements of a remote sensing-based eutrophication-monitoring system. Two specific goal were set in this study: 1. To extract software requirements from available eutrophication management documentation. This was necessary to determine the functions of the dedicated software that matches the legislative requirements and 2. To determine a design capable of handling spatial and temporal requirement of a remote sensing based eutrophication-monitoring system. The study applied Goal Based Requirement Analysis Model [GBRAM] model to extract goals from the National Eutrophication Monitoring Programme [NEMP] implementation plan document and recent publication on remote sensing of water quality monitoring conducted in South Africa. Afterwards, the study used object-oriented concepts to model suitable data objects and processes to implement spatial-temporal requirements of a remote sensing-based eutrophication-monitoring system. Based on the study findings the following are essential functions of a remote sensing based eutrophication-monitoring system. A graphical user interface that allows the user to set up a monitoring programming. Automated image processing procedures. Data assessment methods used to generate eutrophication status information. Numerous display options for viewing data in several perfectives.
- Full Text:
- Date Issued: 2018
Multi-temporal analysis of changes in vegetation distribution in the Great Fish River Game Reserve, Eastern Cape Province, South Africa :1982-2012
- Authors: Dikweni, Sipho
- Date: 2018
- Subjects: Climatic changes -- South Africa|zEastern Cape Biodiversity conservation
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/10511 , vital:35550
- Description: Great Fish River Game Reserve plays an important role in curtailing the ever-increasing biodiversity declines in Eastern Cape Province and South Africa at large. Though this area plays an important role in the conservation of natural biodiversity, it has been observed that it is undergoing considerable changes with regards to conditions and composition of vegetation cover. These changes signal a decline in the capacity of the Great Fish River Game Reserve to support wildlife population. In this study, remote sensing was used to investigate multi-temporal changes in vegetation distribution in this particular reserve over a period of 30 years (1982-2012). A supervised classification was carried out to classify four Landsat images including; Landsat TM, Landsat ETM and Landsat 8 imagery of 1984, 1992, 2002 and 2013 respectively to map historical and present vegetation conditions and distribution in the Great Fish River Game Reserve. A comparative examination of the classified images showed that there were significant changes in the composition and structure of vegetation with much of the palatable plant species being driven to extinction. The results showed that herbivory pressure inconjuction with climate variability has subsequently resulted in a decrease of the supporting potential of the reserve to sustain wildlife due to mortality of the most preferred plant species and abundant increase of non-palatable plant species. As grazing and browsing intensity increased, there was a decline in regenerative potential of the selected plant species by wild herbivores and successful increase in abundance of the non-palatable plant species. The results of this investigation suggest that the current increase in wildlife population will facilitate the deterioration of habitat condition to support wildlife up to the point of no recovery.
- Full Text:
- Date Issued: 2018
- Authors: Dikweni, Sipho
- Date: 2018
- Subjects: Climatic changes -- South Africa|zEastern Cape Biodiversity conservation
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/10511 , vital:35550
- Description: Great Fish River Game Reserve plays an important role in curtailing the ever-increasing biodiversity declines in Eastern Cape Province and South Africa at large. Though this area plays an important role in the conservation of natural biodiversity, it has been observed that it is undergoing considerable changes with regards to conditions and composition of vegetation cover. These changes signal a decline in the capacity of the Great Fish River Game Reserve to support wildlife population. In this study, remote sensing was used to investigate multi-temporal changes in vegetation distribution in this particular reserve over a period of 30 years (1982-2012). A supervised classification was carried out to classify four Landsat images including; Landsat TM, Landsat ETM and Landsat 8 imagery of 1984, 1992, 2002 and 2013 respectively to map historical and present vegetation conditions and distribution in the Great Fish River Game Reserve. A comparative examination of the classified images showed that there were significant changes in the composition and structure of vegetation with much of the palatable plant species being driven to extinction. The results showed that herbivory pressure inconjuction with climate variability has subsequently resulted in a decrease of the supporting potential of the reserve to sustain wildlife due to mortality of the most preferred plant species and abundant increase of non-palatable plant species. As grazing and browsing intensity increased, there was a decline in regenerative potential of the selected plant species by wild herbivores and successful increase in abundance of the non-palatable plant species. The results of this investigation suggest that the current increase in wildlife population will facilitate the deterioration of habitat condition to support wildlife up to the point of no recovery.
- Full Text:
- Date Issued: 2018
Multi-temporal analysis of urban land-use and land-cover patterns in Alice, Eastern Cape Province, South Africa
- Authors: Manyanye, Owen
- Date: 2017
- Subjects: Geographic information systems Land use -- Remote sensing Land cover
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/8066 , vital:31506
- Description: South Africa is undergoing rapid urbanization coupled with fast demographic change in the major cities and towns. This economic shift leaves behind underdevelopment, particularly in the rural areas such as the Eastern Cape Province. Underdevelopment of rural Eastern Cape can be understood by revisiting the “native reserve policy” of the Union of South Africa (1910 –1948) and the separate development policies of the apartheid government (1948 –1994). These policies have induced landlessness in the rural Eastern Cape and the destruction of rural livelihoods, poverty and under-development of roads, housing, health, education and sanitation facilities, and constrained development of a sustainable local economy. This study was aimed at determining the temporal and spatial land-use / land-cover changes in and around Alice town in the Eastern Cape Province of South Africa by using multi-date remotely Landsat TM images covering 5 time slices for the years 1984, 1989, 1994, 1999 and 2009. This was done by using supervised classification to objectively reconstruct changes in land-use and land-cover by compiling time-series maps with four information classes and using the Kappa Coefficient to assess the accuracy of all map outputs. Results of this investigation point to significant changes in land-use and land-cover over the 25-year study period between 1984 and 2009 with built-up areas expanding by 3720 hectares from 3227 hectares in 1984 to 6947 hectares in 2009. This observation is important because it enhances our understanding of the dynamics of urban growth and provides useful insights that aid urban development planning and policy formulation. The research concludes by recommending the use time series remotely sensed imagery as a decision-support tool for urban and environment management.
- Full Text:
- Date Issued: 2017
- Authors: Manyanye, Owen
- Date: 2017
- Subjects: Geographic information systems Land use -- Remote sensing Land cover
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/8066 , vital:31506
- Description: South Africa is undergoing rapid urbanization coupled with fast demographic change in the major cities and towns. This economic shift leaves behind underdevelopment, particularly in the rural areas such as the Eastern Cape Province. Underdevelopment of rural Eastern Cape can be understood by revisiting the “native reserve policy” of the Union of South Africa (1910 –1948) and the separate development policies of the apartheid government (1948 –1994). These policies have induced landlessness in the rural Eastern Cape and the destruction of rural livelihoods, poverty and under-development of roads, housing, health, education and sanitation facilities, and constrained development of a sustainable local economy. This study was aimed at determining the temporal and spatial land-use / land-cover changes in and around Alice town in the Eastern Cape Province of South Africa by using multi-date remotely Landsat TM images covering 5 time slices for the years 1984, 1989, 1994, 1999 and 2009. This was done by using supervised classification to objectively reconstruct changes in land-use and land-cover by compiling time-series maps with four information classes and using the Kappa Coefficient to assess the accuracy of all map outputs. Results of this investigation point to significant changes in land-use and land-cover over the 25-year study period between 1984 and 2009 with built-up areas expanding by 3720 hectares from 3227 hectares in 1984 to 6947 hectares in 2009. This observation is important because it enhances our understanding of the dynamics of urban growth and provides useful insights that aid urban development planning and policy formulation. The research concludes by recommending the use time series remotely sensed imagery as a decision-support tool for urban and environment management.
- Full Text:
- Date Issued: 2017
Multi-temporal assessment of spatial changes in vegetation distribution in the Swartkops estuary, Port Elizabeth, Eastern Cape, South Africa
- Authors: Atyosi, Yonwaba
- Date: 2017
- Subjects: Climatic changes -- South Africa -- Eastern Cape Environmental impact analysis Estuaries -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/13762 , vital:39710
- Description: Over the last decade, image classification has been widely used as a change detection method and provides detailed information for detecting and monitoring changes in land use and land cover (LULC). The main objective of this study was to reconstruct long-term changes in the spatial distribution of different vegetation types in the Swartkops Estuary from 1983 to 2013. The Swartkops Estuary is ecologically important for its wide range of vegetation types that are habitat to estuarine and riverine organisms. Four Landsat images for the years 1984 (Thematic Mapper), 1993 (Thematic Mapper), 2003(Enhanced Thematic Mapper +) and 2013 (Operational Land Imager) were used with the aid of aerial photographs that were used as an ancillary data source. The research methodology comprised of supervised classification, classification accuracy assessment and image differencing. Supervised classification was performed and results of the image classification process for the four time periods were compared to derive information on changes that occurred over the 29-year study period. Images were classified into the following classes: Estuarine water, Salt works, Zostera capensis, Spartina maritima, Terrestrial vegetation, Salt marsh, Swartkops thicket, Built-up areas, Bare areas, and Beach sand, using the Maximum likelihood classifier on Erdas IMAGINE 2014 Software. The significance of the image classification was tested using linear trend regression analysis. Image differencing was performed using 1984 and 2013 Landsat images to reconstruct overall changes in vegetation distribution of the Swartkops Estuary. Results of this investigation revealed significant changes in all land cover types, 24 ha increase from 1984 to 2013 in Zostera capensis as well as Spartina maritima, salt marshes increased by 14 ha between 1984 and 2013, terrestrial vegetation declined by 18 ha between 1984 and 2013. There was a stable increase in estuarine water from 1984 to 2013 by a total area of 29 ha. Water increased by 14 ha between 1984 and 1993, 11 ha increase between 1993 and 2003. However, there was a decline in estuarine water in the period between 2003 and 2013.This decline is associated with the increase in submerged macrophytes like Zostera capensis which utilise open water habitat. The dominant salt marsh species Limonium peregrinum, Sarcoconia pillansii and Spartina maritima occurred in the intertidal, supratidal and floodplain areas where the water table was the shallowest, with the soil moisture being the highest. These results indicate that Remote Sensing and GIS can be effectively used to detect and monitor changes in estuarine biodiversity and habitat in South Africa.
- Full Text:
- Date Issued: 2017
- Authors: Atyosi, Yonwaba
- Date: 2017
- Subjects: Climatic changes -- South Africa -- Eastern Cape Environmental impact analysis Estuaries -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/13762 , vital:39710
- Description: Over the last decade, image classification has been widely used as a change detection method and provides detailed information for detecting and monitoring changes in land use and land cover (LULC). The main objective of this study was to reconstruct long-term changes in the spatial distribution of different vegetation types in the Swartkops Estuary from 1983 to 2013. The Swartkops Estuary is ecologically important for its wide range of vegetation types that are habitat to estuarine and riverine organisms. Four Landsat images for the years 1984 (Thematic Mapper), 1993 (Thematic Mapper), 2003(Enhanced Thematic Mapper +) and 2013 (Operational Land Imager) were used with the aid of aerial photographs that were used as an ancillary data source. The research methodology comprised of supervised classification, classification accuracy assessment and image differencing. Supervised classification was performed and results of the image classification process for the four time periods were compared to derive information on changes that occurred over the 29-year study period. Images were classified into the following classes: Estuarine water, Salt works, Zostera capensis, Spartina maritima, Terrestrial vegetation, Salt marsh, Swartkops thicket, Built-up areas, Bare areas, and Beach sand, using the Maximum likelihood classifier on Erdas IMAGINE 2014 Software. The significance of the image classification was tested using linear trend regression analysis. Image differencing was performed using 1984 and 2013 Landsat images to reconstruct overall changes in vegetation distribution of the Swartkops Estuary. Results of this investigation revealed significant changes in all land cover types, 24 ha increase from 1984 to 2013 in Zostera capensis as well as Spartina maritima, salt marshes increased by 14 ha between 1984 and 2013, terrestrial vegetation declined by 18 ha between 1984 and 2013. There was a stable increase in estuarine water from 1984 to 2013 by a total area of 29 ha. Water increased by 14 ha between 1984 and 1993, 11 ha increase between 1993 and 2003. However, there was a decline in estuarine water in the period between 2003 and 2013.This decline is associated with the increase in submerged macrophytes like Zostera capensis which utilise open water habitat. The dominant salt marsh species Limonium peregrinum, Sarcoconia pillansii and Spartina maritima occurred in the intertidal, supratidal and floodplain areas where the water table was the shallowest, with the soil moisture being the highest. These results indicate that Remote Sensing and GIS can be effectively used to detect and monitor changes in estuarine biodiversity and habitat in South Africa.
- Full Text:
- Date Issued: 2017
Assessing the vulnerability of resource-poor households to disasters associated with climate variability using remote sensing and GIS techniques in the Nkonkobe Local Municipality, Eastern Cape Province, South Africa
- Authors: Chari, Martin Munashe
- Date: 2016
- Subjects: Climatic changes -- Forecasting Natural resources -- Remote sensing Droughts -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/2425 , vital:27837
- Description: The main objective of the study was to assess the extent to which resource-poor households in selected villages of Nkonkobe Local Municipality in the Eastern Cape Province of South Africa are vulnerable to drought by using an improvised remote sensing and Geographic Information System (GIS)-based mapping approach. The research methodology was comprised of 1) assessment of vulnerability levels and 2) the calculation of established drought assessment indices comprising the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI) from wet-season Landsat images covering a period of 29 years from 1985 to 2014 in order to objectively determine the temporal recurrence of drought in Nkonkobe Local Municipality. Vulnerability of households to drought was determined by using a multi-step GIS-based mapping approach in which 3 components comprising exposure, sensitivity and adaptive capacity were simultaneously analysed and averaged to determine the magnitude of vulnerability. Thereafter, the Analytical Hierarchy Process (AHP) was used to establish weighted contributions of these components to vulnerability. The weights applied to the AHP were obtained from the 2012 - 2017 Nkonkobe Integrated Development Plan (IDP) and perceptions that were solicited from key informants who were judged to be knowledgeable about the subject. A Kruskal-Wallis H test on demographic data for water access revealed that the demographic results are independent of choice of data acquired from different data providers (χ2(2) = 1.26, p = 0.533, with a mean ranked population scores of 7.4 for ECSECC, 6.8 for Quantec and 9.8 for StatsSA). Simple linear regression analysis revealed strong positive correlations between NDWI and NDVI ((r = 0.99609375, R2 = 1, for 1985), 1995 (r = 0.99609375, R2 = 1 for 1995), (r = 0.99609375, R2 = 1 for 2005) and (r = 0.99609375, R2 = 1 for 2014). The regression analysis proved that vegetation condition depends on surface water arising from rainfall. The results indicate that the whole of Nkonkobe Local Municipality is susceptible to drought with villages in south eastern part being most vulnerable to droughts due to high sensitivity and low adaptive capacity.
- Full Text:
- Date Issued: 2016
- Authors: Chari, Martin Munashe
- Date: 2016
- Subjects: Climatic changes -- Forecasting Natural resources -- Remote sensing Droughts -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/2425 , vital:27837
- Description: The main objective of the study was to assess the extent to which resource-poor households in selected villages of Nkonkobe Local Municipality in the Eastern Cape Province of South Africa are vulnerable to drought by using an improvised remote sensing and Geographic Information System (GIS)-based mapping approach. The research methodology was comprised of 1) assessment of vulnerability levels and 2) the calculation of established drought assessment indices comprising the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI) from wet-season Landsat images covering a period of 29 years from 1985 to 2014 in order to objectively determine the temporal recurrence of drought in Nkonkobe Local Municipality. Vulnerability of households to drought was determined by using a multi-step GIS-based mapping approach in which 3 components comprising exposure, sensitivity and adaptive capacity were simultaneously analysed and averaged to determine the magnitude of vulnerability. Thereafter, the Analytical Hierarchy Process (AHP) was used to establish weighted contributions of these components to vulnerability. The weights applied to the AHP were obtained from the 2012 - 2017 Nkonkobe Integrated Development Plan (IDP) and perceptions that were solicited from key informants who were judged to be knowledgeable about the subject. A Kruskal-Wallis H test on demographic data for water access revealed that the demographic results are independent of choice of data acquired from different data providers (χ2(2) = 1.26, p = 0.533, with a mean ranked population scores of 7.4 for ECSECC, 6.8 for Quantec and 9.8 for StatsSA). Simple linear regression analysis revealed strong positive correlations between NDWI and NDVI ((r = 0.99609375, R2 = 1, for 1985), 1995 (r = 0.99609375, R2 = 1 for 1995), (r = 0.99609375, R2 = 1 for 2005) and (r = 0.99609375, R2 = 1 for 2014). The regression analysis proved that vegetation condition depends on surface water arising from rainfall. The results indicate that the whole of Nkonkobe Local Municipality is susceptible to drought with villages in south eastern part being most vulnerable to droughts due to high sensitivity and low adaptive capacity.
- Full Text:
- Date Issued: 2016
Monitoring changes in vegetation distribution to ascertain the extent of degradation in the savannas of Nkonkobe Local Municipality, Eastern Cape, South Africa
- Authors: Masiza, Wonga
- Date: 2016
- Subjects: Savanna ecology -- South Africa -- Eastern Cape Land degradation -- South Africa -- Eastern Cape Vegetation management -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/2027 , vital:27598
- Description: Savanna degradation is an environmental problem occurring in most countries around the world and it poses threats to biodiversity conservation, the food industry, and other economic sectors. According to FAO, South Africa’s rangelands exhibit the highest rate of fragmentation in comparison to range ecosystems in neighbouring countries including Lesotho and Swaziland, and consensus among researchers is that communal rangelands are more degraded than commercial rangelands. Although researchers and communities have identified the occurrence of land degradation in communal savannas at a local scale, land degradation has been poorly estimated because little has been done to quantify the extent and dynamics of perceived and observed changes associated with land degradation. The main goal of this study is to provide empirical insights on the direction of changes in the communal savannas of Nkonkobe Local Municipality in order to inform policy formulation and implementation. Additional to the communal sites is a private farm included for comparative analysis of trends in communal and commercial savannas. Landsat imagery was used to map, assess, and quantify the extent of land degradation in Nkonkobe Local Municipality, over a period of 30 years between 1984 and 2014. Field investigations were undertaken in June 2015 to acquire reference data to guide supervised classification of Landsat images. Three algorithms (Mahalanobis-distance, Minimum-distance, and Maximum likelihood classification) were compared to identify a classifier that produced the best results. The maximum likelihood classifier produced the best results with classification accuracy levels of 95.24 percent, 89.66 percent, and 95.65 percent for Honeydale Farm, Thyume, and Sheshegu respectively. Regression analysis revealed that both communal and private lands have experienced statistically significant increases in bush encroachment and decreases in surface water. Communal savannas have been confronted more by expansion of built-up area, decrease in open grassland, abandonment of arable land, soil erosion, and a steady invasion by Acacia Karroo compared to the privately owned commercial farm. The land cover changes measured through this investigation suggest an environmental shift that threatens biodiversity and agricultural activity. The study provides empirically informed insights about the direction to which these savannas are changing with the hope that the findings will prompt formulation and implementation of effective policies.
- Full Text:
- Date Issued: 2016
- Authors: Masiza, Wonga
- Date: 2016
- Subjects: Savanna ecology -- South Africa -- Eastern Cape Land degradation -- South Africa -- Eastern Cape Vegetation management -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10353/2027 , vital:27598
- Description: Savanna degradation is an environmental problem occurring in most countries around the world and it poses threats to biodiversity conservation, the food industry, and other economic sectors. According to FAO, South Africa’s rangelands exhibit the highest rate of fragmentation in comparison to range ecosystems in neighbouring countries including Lesotho and Swaziland, and consensus among researchers is that communal rangelands are more degraded than commercial rangelands. Although researchers and communities have identified the occurrence of land degradation in communal savannas at a local scale, land degradation has been poorly estimated because little has been done to quantify the extent and dynamics of perceived and observed changes associated with land degradation. The main goal of this study is to provide empirical insights on the direction of changes in the communal savannas of Nkonkobe Local Municipality in order to inform policy formulation and implementation. Additional to the communal sites is a private farm included for comparative analysis of trends in communal and commercial savannas. Landsat imagery was used to map, assess, and quantify the extent of land degradation in Nkonkobe Local Municipality, over a period of 30 years between 1984 and 2014. Field investigations were undertaken in June 2015 to acquire reference data to guide supervised classification of Landsat images. Three algorithms (Mahalanobis-distance, Minimum-distance, and Maximum likelihood classification) were compared to identify a classifier that produced the best results. The maximum likelihood classifier produced the best results with classification accuracy levels of 95.24 percent, 89.66 percent, and 95.65 percent for Honeydale Farm, Thyume, and Sheshegu respectively. Regression analysis revealed that both communal and private lands have experienced statistically significant increases in bush encroachment and decreases in surface water. Communal savannas have been confronted more by expansion of built-up area, decrease in open grassland, abandonment of arable land, soil erosion, and a steady invasion by Acacia Karroo compared to the privately owned commercial farm. The land cover changes measured through this investigation suggest an environmental shift that threatens biodiversity and agricultural activity. The study provides empirically informed insights about the direction to which these savannas are changing with the hope that the findings will prompt formulation and implementation of effective policies.
- Full Text:
- Date Issued: 2016
- «
- ‹
- 1
- ›
- »