Analysing plausible futures from past patterns of land change in West Burkina Faso

Jahel, Camille; Vall, Éric; Rodriguez, Zermeño; Bégué, Agnès; Baron, Christian; Augusseau, Xavier; Seen, Danny Lo

doi:10.1016/j.landusepol.2017.11.025

Cited by 7 publications

(9 citation statements)

References 38 publications

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“…In all studies, the migration movement had already taken place. Although most studies related to Burkina Faso link reported migration movements to the main migration waves associated with the droughts of the 1970s and 1980s (Ruf et al 2015, Jahel et al 2018, migration patterns in Ghana were affiliated with other events or lacked a temporal classification. Migration patterns after the 1990s to 2000s were mentioned for example in Braimoh (2004)…”

Section: Overview Of Case Studiesmentioning

confidence: 99%

“…Environmental factors like frequent droughts, saturation of land, or lack of drinking water for animals, as well as economic factors such as limited off-farm income opportunities, were the main reasons for migration (Hampshire 2002, Barbier et al 2009, West and Nébié 2019. Three case studies involved in-migration to locations in Burkina Faso (Ouedraogo et al 2009, Jahel et al 2018, West and Nébié 2019 in the districts Centre-Ouest (Neboun and Sissili) and Hauts-Bassins (Tuy Province). Fertile lands or the opportunity to make a better income were pull factors (Ouedraogo et al 2009, Jahel et al 2018, West and Nébié 2019.…”

Section: Migration Flows Identified In Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Migration in West Africa: a visual analysis of motivation, causes, and routes

Schürmann¹,

Kleemann²,

Teucher³

et al. 2022

E&S

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Migration in West Africa has been taking place for centuries for different reasons. Many dimensions of migration remain insufficiently documented and poorly understood. In particular, factors of migration in destination areas and areas of origin are still lacking comprehensive analysis. In this paper, we bring a new perspective to the model of push and pull factors of migration in West Africa by reviewing and analyzing interview-based case studies of migration related to Ghana, Burkina Faso, and Nigeria, as well as to the associated migration routes. The overall aim of this study was to determine the areas that individuals historically chose as destinations for migration and what they perceived to be the distinctive conditions in those areas. Hence, characteristic features about destination areas and areas of origin were identified and located in maps, whereas interrelationships among push and pull factors were illustrated by means of Sankey diagrams. With these tools, we provide a novel combination for visualizing the reasons for migration. The literature review emphasizes the complex relationships between different drivers of migration, with environmental and economic factors emerging as the most important drivers of migration in the focus countries. Moreover, the identified and mapped migration patterns suggest that individuals migrate mainly from the northern part of a particular country to its center or southern regions. This scientific approach shows that the spatial allocation of migratory movements can facilitate assessments on how to meet specific Sustainable Development Goals and to improve regional policies.

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Section: Overview Of Case Studiesmentioning

confidence: 99%

Section: Migration Flows Identified In Studiesmentioning

confidence: 99%

Migration in West Africa: a visual analysis of motivation, causes, and routes

Schürmann¹,

Kleemann²,

Teucher³

et al. 2022

E&S

View full text Add to dashboard Cite

show abstract

“…Between these entities, spatial, functional, hierarchical, and even social relationships can be defined, in the generic form of an interaction graph. Moreover, using this approach, it is possible to associate the time profiles extracted from SITS with objects extracted from very high-resolution (VHR) satellite images and to discriminate among them by taking into account a priori knowledge from different domains (Jahel et al, 2017(Jahel et al, , 2018.…”

Section: Interaction Graphsmentioning

confidence: 99%

Extracting multilayer networks from Sentinel-2 satellite image time series

Interdonato

Gaetano

Seen

et al. 2020

Net Sci

Self Cite

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Nowadays, modern Earth Observation systems continuously generate huge amounts of data. A notable example is the Sentinel-2 Earth Observation mission, developed by the European Space Agency as part of the Copernicus Programme, which supplies images from the whole planet at high spatial resolution (up to 10 m) with unprecedented revisit time (every 5 days at the equator). In this data-rich scenario, the remote sensing community is showing a growing interest toward modern supervised machine learning techniques (e.g., deep learning) to perform information extraction, often underestimating the need for reference data that this framework implies. Conversely, few attention is being devoted to the use of network analysis techniques, which can provide a set of powerful tools for unsupervised information discovery, subject to the definition of a suitable strategy to build a network-like representation of image data. The aim of this work is to provide clues on how Satellite Image Time Series can be profitably represented using complex network models, by proposing a methodology to build a multilayer network from such data. This is the first work to explore the possibility to exploit this model in the remote sensing domain. An example of community detection over the provided network in a real-case scenario for the mapping of complex land use systems is also presented, to assess the potential of this approach.

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“…Seventy studies returned in our search utilized land use or land cover assessments in some capacity, whether it be the main focus of the study or as a component of the overall methodology. Change detection is a widely utilized methodology [10,32,35,[40][41][42][43][44][45][46][47][48][49][50][51][52] along with assessing drivers of LUCC [10,26,41,48,[53][54][55][56][57][58][59]. All studies which integrated social data (Table 6) also used some form of LULC data or assessment in their study to establish linkages between changes in land use or land cover and various socio-economic and human wellbeing outcomes.…”

Section: Current Directions and Emerging Trends In The Remote Sensingmentioning

confidence: 99%

“…Studies including participatory research methods such as surveys or focus groups have led researchers to challenge the assumptions that would have been derived from analyses of satellite imagery alone [67]. Jahel et al [53] integrated social surveys into a model that used past land change information to predict future vegetation clearances and inform development scenarios. Smit et al [70] "reverse engineered" monitoring intervention thresholds for megaherbivore impacts on vegetation based on stakeholder opinion of desired amount canopy cover.…”

Section: Current Directions and Emerging Trends In The Remote Sensingmentioning

confidence: 99%

Remote Sensing of Human–Environment Interactions in Global Change Research: A Review of Advances, Challenges and Future Directions

2019

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The role of remote sensing and human–environment interactions (HEI) research in social and environmental decision-making has steadily increased along with numerous technological and methodological advances in the global environmental change field. Given the growing inter- and trans-disciplinary nature of studies focused on understanding the human dimensions of global change (HDGC), the need for a synchronization of agendas is evident. We conduct a bibliometric assessment and review of the last two decades of peer-reviewed literature to ascertain what the trends and current directions of integrating remote sensing into HEI research have been and discuss emerging themes, challenges, and opportunities. Despite advances in applying remote sensing to understanding ever more complex HEI fields such as land use/land cover change and landscape degradation, agricultural dynamics, urban geography and ecology, natural hazards, water resources, epidemiology, or paleo HEIs, challenges remain in acquiring and leveraging accurately georeferenced social data and establishing transferable protocols for data integration. However, recent advances in micro-satellite, unmanned aerial systems (UASs), and sensor technology are opening new avenues of integration of remotely sensed data into HEI research at scales relevant for decision-making purposes that simultaneously catalyze developments in HDGC research. Emerging or underutilized methodologies and technologies such as thermal sensing, digital soil mapping, citizen science, UASs, cloud computing, mobile mapping, or the use of “humans as sensors” will continue to enhance the relevance of HEI research in achieving sustainable development goals and driving the science of HDGC further.

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Analysing plausible futures from past patterns of land change in West Burkina Faso

Cited by 7 publications

References 38 publications

Migration in West Africa: a visual analysis of motivation, causes, and routes

Migration in West Africa: a visual analysis of motivation, causes, and routes

Extracting multilayer networks from Sentinel-2 satellite image time series

Remote Sensing of Human–Environment Interactions in Global Change Research: A Review of Advances, Challenges and Future Directions

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