Assessing the Impacts of Land Use and land cover change on Pastoral Livestock Farming in South-Eastern Burkina Faso

<p class="1Body">Conversion of pastures to cropland is one of the most important issues facing livestock farming in Burkina Faso. This study examined the impact of land use/cover change on pastoral livestock farming in Boulgou province between 1980 and 2013. Landsat satellite images (1989, 2001 and 2013) and socio-economic data were analysed. The interpretation of the classified Landsat images revealed an increase in cropland from 20.5% in 1989 to 36.7% in 2013. This resulted mainly from the conversion of woody savannah and shrub and grass savannah to cropland. Pastoral livestock farmers reported that the major drivers of vegetation loss were drought (95.1 %), population growth (91.8%), cropland increase (91.4%), extraction of fuel wood (69.8%) and increase in livestock population (65.4). These changes affect livestock farming through reduction of pasture, poor access to water and reduction of livestock mobility routes according to the farmers. This calls for regional and national policies to protect grazing areas in Burkina Faso that are similar to policies being implemented for forest and other types of vegetation cover in other countries. For such pastoral policies to be successful, issues concerning the mobility of livestock farmers must be enshrined into such policies and this study is an example of information source for these policies.</p>

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Change Detection Analysis Using Surveying and Geoinformatics Techniques

Nigerian Journal of Environmental Sciences and Technology - March 2018 ◽

10.36263/nijest.2018.01.0051 ◽

2018 ◽

Vol 2 (1) ◽

pp. 28-38

Author(s):

I. C. Onuigbo ◽

J. Y. Jwat

Keyword(s):

Land Use ◽

Land Cover ◽

Change Detection ◽

Research Work ◽

Temporal Data ◽

Landsat Images ◽

Detection Analysis ◽

Ground Truthing ◽

Landsat Satellite ◽

Geoinformatics Techniques

The study was on change detection using Surveying and Geoinformatics techniques. For effective research study, Landsat satellite images and Quickbird imagery of Minna were acquired for three periods, 2000, 2005 and 2012. The research work demonstrated the possibility of using Surveying and Geoinformatics in capturing spatial-temporal data. The result of the research work shows a rapid growth in built-up land between 2000 and 2005, while the periods between 2005 and 2012 witnessed a reduction in this class. It was also observed that change by 2020 may likely follow the trend in 2005 – 2012 all things being equal. Built up area may increase to 11026.456 hectares, which represent 11% change. The study has shown clearly the extent to which MSS imagery and Landsat images together with extensive ground- truthing can provide information necessary for land use and land cover mapping. Attempt was made to capture as accurate as possible four land use and land cover classes as they change through time.

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Effects of Land-Use Practices on Woody Plant Cover Dynamics in Sahelian Agrosystems in Burkina Faso since the 1970s–1980s Droughts

Sustainability ◽

10.3390/su11215908 ◽

2019 ◽

Vol 11 (21) ◽

pp. 5908 ◽

Cited By ~ 3

Author(s):

Wendpouiré Arnaud Zida ◽

Babou André Bationo ◽

Jean-Philippe Waaub

Keyword(s):

Land Use ◽

Burkina Faso ◽

Vegetation Index ◽

Woody Plant ◽

Strong Dependence ◽

Plant Cover ◽

Social Adaptation ◽

Landsat Images ◽

Land Use Practices ◽

Agroforestry Practices

The 1970s–1980s droughts in the Sahel caused a significant degradation of land and plant cover. To cope with this situation, populations have developed several biophysical and social adaptation practices. Many of these are agroforestry practices and contribute to the maintenance of agrosystems. Unfortunately, they remain insufficiently documented and their contributions to the resilience of agrosystems insufficiently evaluated. Many authors widely link the regreening in the Sahel after droughts to the resumption of rainfall. This study examines the contribution of agroforestry practices to the improvement of woody plant cover in the North of Burkina Faso after the 1970s–1980s droughts. The examination of practices is carried out by integrating the rainfall, soil, and geomorphology variables. Landsat images are used to detect changes in woody plant cover: increasing, decreasing, and no-change in the Enhanced Vegetation Index. In addition, 230 field observations, coupled with interviews conducted on the different categories of change, have allowed to characterize the biophysical environment and identify land-use practices. The results show a variability of vegetation index explained to 9% (R2 = 0.09) by rainfall. However, Chi-Squared independence tests show a strong dependence between changes in woody plant cover and geomorphology (p = 0.0018 *), land use, land cover (p = 0.0001 *), and land-use practices (p = 0.0001 *). Our results show that rainfall alone is not enough to explain the dynamics of agrosystems’ woody plant cover. Agricultural and social practices related to the dynamics of farmer perceptions play a key role.

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Land Cover Change Dynamics and their Impacts on Thermal Environment of Dadri Block, Gautam Budh Nagar, India

Journal of Landscape Ecology ◽

10.2478/jlecol-2020-0007 ◽

2020 ◽

Vol 13 (2) ◽

pp. 1-13

Author(s):

Sushma Shastri ◽

Prafull Singh ◽

Pradipika Verma ◽

Praveen Kumar Rai ◽

A. P. Singh

Keyword(s):

Land Use ◽

Land Cover ◽

Land Surface ◽

Large Scale ◽

Thermal Environment ◽

Negative Impact ◽

Information Source ◽

Physical Parameters ◽

Change Analysis ◽

Landsat Satellite

AbstractLand use / land cover (LULC) has been considered as one of the important bio-physical parameters and have significant affect on local environmental change, particularly increasing anthropogenic temperature. Remote sensing images from Landsat series satellites are a major information source for LULC change analysis. In the present investigation, long term changes in LULC and its negative impact on land surface temperature (LST) were analyzed using multi-temporal Landsat satellite images between 2000 to 2016. firstly LULC of the study area has been classified and temporal changes in land use classes were quantify, and observed that in most of the land use classes such as vegetation (-1.28 %), water bodies (-1.65 %), agriculture (-3.52) and open land (-2.43 %) have shown negative change, however large scale positive changes in built-up area (+8.87 %) has been observed during the analysis, which is mainly due to continuous urbanization and growth of population in the area. The classified thermal images from the same period also show mean temperature of the area has increased by 1.60 °C since last 16 years. The observation from the present study reveals that due to the large-scale land use change practices in urban and peri-urban area witnessed for the rising temperature due to loss natural vegetation and other natural resources.

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Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing

Land ◽

10.3390/land9010017 ◽

2020 ◽

Vol 9 (1) ◽

pp. 17 ◽

Cited By ~ 7

Author(s):

Shanshan Hu ◽

Yunyun Fan ◽

Tao Zhang

Keyword(s):

Land Use ◽

Land Use Change ◽

Correlation Analysis ◽

Surface Runoff ◽

Flood Control ◽

Central Area ◽

Dominant Factor ◽

Landsat Images ◽

Rapid Urbanization ◽

The Impact

The change in land use during the process of urbanization affects surface runoff and increases flood risk in big cities. This study investigated the impact of land use change on surface runoff in Beijing’s central area during the period of rapid urbanization from 1984 to 2019. Land use maps of 1984, 1999, 2009, and 2019 were generated by image classification of Landsat images. Surface runoffs were calculated with the Soil Conservation Service curve number (SCS-CN) model. Correlation analysis was used to identify the dominant factor of land use change affecting surface runoff. The result showed that the variation trend of surface runoff was consistent with the trend of impervious land in Beijing’s central area, which increased during 1984~2009 and decreased during 2009~2019. Correlation analysis showed that changes in surface runoff were most strongly correlated with changes in impervious surfaces when compared with the correlation of runoff with other types of land use. The results of this study may provide a reference for city flood control and urban planning in fast growing cities worldwide, especially in developing countries.

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Multi-Temporal Landsat Images and Ancillary Data for Land Use/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa

Remote Sensing ◽

10.3390/rs70912076 ◽

2015 ◽

Vol 7 (9) ◽

pp. 12076-12102 ◽

Cited By ~ 12

Author(s):

Benewinde Zoungrana ◽

Christopher Conrad ◽

Leonard Amekudzi ◽

Michael Thiel ◽

Evariste Da ◽

...

Keyword(s):

Land Use ◽

West Africa ◽

Burkina Faso ◽

Ancillary Data ◽

Landsat Images ◽

Multi Temporal

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Impacts of Land Use and Cover Changes on Transhumant Pastoralism in Sudanian Zones of Burkina Faso, West Africa

Journal of Agricultural Studies ◽

10.5296/jas.v6i3.13474 ◽

2018 ◽

Vol 5 (4) ◽

pp. 90

Author(s):

Charles L. Sanou ◽

Nouhoun Zampaligré ◽

Daniel N. Tsado ◽

André Kiema ◽

Yssouf Sieza

Keyword(s):

Land Use ◽

Burkina Faso ◽

Average Rate ◽

Accuracy Assessment ◽

Animal Husbandry ◽

Thematic Mapper ◽

Landsat 8 ◽

Land Uses ◽

Landsat Images ◽

Land Use And Cover

This research aimed to investigate how the rapid land use and cover changes is affecting pastoral resources and practices within Kompienga province in Sudanian zone of Burkina Faso. To achieve this aim, Landsat images data of years 1989, 2001, 2013 and 2015 were retrieved and analysed. Images were acquired following the path 193 and row 52, from Landsat-5 Thematic Mapper (TM), Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI). Images processing were done using 350 training sample for both; the purpose of supervised classification and accuracy assessment. Random Forest Algorithm (RFA) procedures in R-Software (version 3.3.2) were used for images classification. Furthermore, survey data were collected through group discussions and individual interviews with a 271 head of household respondents (pastoralists and agro-pastoralists) to investigate respondents’ perceptions on land uses and covers changes and its impacts on their pastoral and agro pastoral resources and animal husbandry practices. Results showed that Land use dynamics was characterized by an increase in croplands at an average rate of 46.7 % per year, between 1989 and 2015. On the contrary a decline of pasture lands was observed since 2001 at an average rate of 6.0 % per year. Similar trends in land uses changes were observed by interviewed respondents who depicted an increase in cropping lands (98.5 % of respondents) to the detriment of pasture lands (97.8 % of respondents). To overcome these land use/land cover changes and it subsequent consequences, respondent pastoralists and agro pastoralists have developed local adaptations strategies. Thus, some measures are still needed at government level to sustain local pastoralist and agro-pastoralist efforts and strengthen their adaptive capacity.

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The analysis of spatial and temporal changes of land cover and land use in the reclaimed areas with the application of airborne orthophotomaps and LANDSAT images

Geodesy and Cartography ◽

10.1515/geocart-2015-0006 ◽

2015 ◽

Vol 64 (1) ◽

pp. 75-86 ◽

Cited By ~ 6

Author(s):

Marta Szostak ◽

Piotr Wężyk ◽

Paweł Hawryło ◽

Marcin Pietrzykowski

Keyword(s):

Land Use ◽

Land Cover ◽

Modern Technology ◽

General Reference ◽

Landsat Images ◽

Corine Land Cover ◽

Spoil Heap ◽

Object Based ◽

Mine Sites ◽

Landsat Satellite

Abstract The aim of this study was to investigate the possible use of geoinformatics tools and generally available geodata for mapping land cover/use on the reclaimed areas. The choice of subject was dictated by the growing number of such areas and the related problem of their restoration. Modern technology, including GIS, photogrammetry and remote sensing are relevant in assessing the reclamation effects and monitoring of changes taking place on such sites. The LULC classes mapping, supported with thorough knowledge of the operator, is useful tool for the proper reclamation process evaluation. The study was performed for two post-mine sites: reclaimed external spoil heap of the sulfur mine Machów and areas after exploitation of sulfur mine Jeziórko, which are located in the Tarnobrzeski district. The research materials consisted of aerial orthophotos, which were the basis of on-screen vectorization; LANDSAT satellite images, which were used in the pixel and object based classification; and the CORINE Land Cover database as a general reference to the global maps of land cover and land use.

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APPLICATION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (GIS) TO ANALYSE THE IMPACT OF LAND USE ON THE WETLANDS IN PORT HARCOURT AND OBIO/ AKPOR L.G.A. RIVERS STATE, NIGERIA

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v8.i5.2020.242 ◽

2020 ◽

Vol 8 (5) ◽

Author(s):

J. U. Richard ◽

Ibochi Andrew Abah

Keyword(s):

Remote Sensing ◽

Land Use ◽

Satellite Image ◽

Gis And Remote Sensing ◽

Percentage Decrease ◽

Detection Analysis ◽

The People ◽

Port Harcourt ◽

Landsat Satellite ◽

The Impact

The study area is in verge the state of wetlands extinction due to over utilization and lack of regulations that will ensure effective management of its resources. The study areas: Port Harcourt and Obio/ Akpor L.G. As are undergoing rapid urban and industrial expansion due to available natural resources and these activities have degraded the wetlands which hither-to represent the source of living for the people. This study investigated the impact of land use/ land cover on wetlands in Port Harcourt and Obio/ Akpor L.G. As using GIS and remote sensing approach. The study was conducted using Landsat satellite image of 2000, 2007, and 2013 to analysed change in land use/ cover as a result of the aforesaid activities. The supervised classification method in ENVI 5.0 software was adopted and change detection analysis was computed in order to examine change in land use that has impacted on wetlands habitat. The change results show percentage decrease in water body by -0.39% from 2000 to 2007 and -0.70% from 2000 to 2013, built-up areas also increased by 11.95% from 2000 to 2007 and 28.47% from 2000 to 2013. Similarly, wetlands decreased by -13.52% from 2000 to 2013. Therefore, it was concluded that urbanization in built-up, industrial, and dredging activities are the main causes of wetlands loss in the area with most wetlands being converted to built-up areas and dredged sites. The study justified the ability of remote sensing and GIS software for modelling wetlands change over these periods.

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Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata–Markov Chain Approach

Land ◽

10.3390/land9040115 ◽

2020 ◽

Vol 9 (4) ◽

pp. 115 ◽

Cited By ~ 1

Author(s):

Melaku Bogale Fitawok ◽

Ben Derudder ◽

Amare Sewnet Minale ◽

Steven Van Passel ◽

Enyew Adgo ◽

...

Keyword(s):

Land Use ◽

Markov Chain ◽

Cellular Automata ◽

Urban Expansion ◽

Land Use Changes ◽

Sustainable Urban Development ◽

Bahir Dar ◽

Landsat Images ◽

The Impact ◽

The City

The fast-paced urbanization of recent decades entails that many regions are facing seemingly uncontrolled land-use changes (LUCs) that go hand in hand with a range of environmental and socio-economic challenges. In this paper, we use an integrated cellular automata–Markov chain (CA–MC) model to analyze and predict the urban expansion of and its impact on LUC in the city of Bahir Dar, Ethiopia. To this end, the research marshals high-resolution Landsat images of 1991, 2002, 2011, and 2018. An analytical hierarchy process (AHP) method is then used to identify the biophysical and socioeconomic factors underlying the expansion in the research area. It is shown that, during the period of study, built-up areas are rapidly expanding in the face of an overall decline of the farmland and vegetation cover. Drawing on a model calibration for 2018, the research predicts the possible geographies of LUC in the Bahir Dar area for 2025, 2034, and 2045. It is predicted that the conversions of other land-use types into built-up areas will persist in the southern, southwestern, and northeastern areas of the sprawling city, which can mainly be traced back to the uneven geographies of road accessibility, proximity to the city center, and slope variables. We reflect on how our findings can be used to facilitate sustainable urban development and land-use policies in the Bahir Dar area.

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Long-term assessment of ecosystem services at ecological restoration sites using Landsat time series

PLoS ONE ◽

10.1371/journal.pone.0243020 ◽

2021 ◽

Vol 16 (6) ◽

pp. e0243020

Author(s):

Trinidad del Río-Mena ◽

Louise Willemen ◽

Anton Vrieling ◽

Andy Snoeys ◽

Andy Nelson

Keyword(s):

Ecosystem Services ◽

Ecological Restoration ◽

Temporal Dynamics ◽

Opportunity To Learn ◽

Parent Material ◽

Rural Landscape ◽

Landsat Images ◽

Landsat Satellite ◽

The Impact

Reversing ecological degradation through restoration activities is a key societal challenge of the upcoming decade. However, lack of evidence on the effectiveness of restoration interventions leads to inconsistent, delayed, or poorly informed statements of success, hindering the wise allocation of resources, representing a missed opportunity to learn from previous experiences. This study contributes to a better understanding of spatial and temporal dynamics of ecosystem services at ecological restoration sites. We developed a method using Landsat satellite images combined with a Before-After-Control-Impact (BACI) design, and applied this to an arid rural landscape, the Baviaanskloof in South Africa. Since 1990, various restoration projects have been implemented to halt and reverse degradation. We applied the BACI approach at pixel-level comparing the conditions of each intervened pixel (impact) with 20 similar control pixels. By evaluating the conditions before and after the restoration intervention, we assessed the effectiveness of long-term restoration interventions distinguishing their impact from environmental temporal changes. The BACI approach was implemented with Landsat images that cover a 30-year period at a spatial resolution of 30 meter. We evaluated the impact of three interventions (revegetation, livestock exclusion, and the combination of both) on three ecosystem services; forage provision, erosion prevention, and presence of iconic vegetation. We also evaluated whether terrain characteristics could partially explain the variation in impact of interventions. The resulting maps showed spatial patterns of positive and negative effects of interventions on ecosystem services. Intervention effectiveness differed across vegetation conditions, terrain aspect, and soil parent material. Our method allows for spatially explicit quantification of the long-term restoration impact on ecosystem service supply, and for the detailed visualization of impact across an area. This pixel-level analysis is specifically suited for heterogeneous landscapes, where restoration impact not only varies between but also within restoration sites.

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