Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25~!

Hall, Ola

doi:10.2174/1875413901003010001

Cited by 28 publications

(5 citation statements)

References 75 publications

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“…The utilization of Earth Observation (EO) data has increased significantly in many disciplines. Literature shows applications ranging from environmental and regional studies to economics, and peace and conflict research, for example [6][7][8][9]. More specific to the interest of this paper, there is growing body of literature on methods to extract and map cadastral boundaries using EO data [10][11][12][13][14][15][16][17][18][19].…”

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confidence: 99%

Bridging the Semantic Gap between Land Tenure and EO Data: Conceptual and Methodological Underpinnings for a Geospatially Informed Analysis

Lee

Vries

2020

Remote Sensing

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When spatial land tenure relations are not available, the only effective alternative data method is to rely on the agricultural census at the regional or national scale, based on household surveys and a participatory mapping at the local scale. However, what if even these are not available, which is typical for conflict-affected countries, administrations suffering from a lack of data and resources, or agencies that produce a sub-standard quality. Would it, under such circumstances, be possible to rely on remotely sensed Earth Observation (EO) data? We hypothesize that it is possible to qualify and quantify certain types of unknown land tenure relations based on EO data. Therefore, this study aims to standardize the identification and categorization of certain objects, environments, and semantics visible in EO data that can (re-)interpret land tenure relations. The context of this study is the opportunity to mine data on North Korean land tenure, which would be needed in case of a Korean (re-)unification. Synthesizing land tenure data in conjunction with EO data would align land administration practices in the respective parts and could also derive reliable land tenure and governance variables. There are still many unanswered questions about workable EO data proxies, which can derive information about land tenure relations. However, this first exploration provides a relevant contribution to bridging the semantic gap between land tenure and EO data.

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confidence: 99%

Bridging the Semantic Gap between Land Tenure and EO Data: Conceptual and Methodological Underpinnings for a Geospatially Informed Analysis

Lee

Vries

2020

Remote Sensing

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“…It can be used to measure the rate of change of mostly agricultural and natural ecosystems into intensive urban uses (Wang et al, 2011). Also, the adverse effects of the high rates of land use change (often due to urban growth) makes it necessary to obtain information on land use change to understand human-nature interactions in rapidly urbanized countries (Hall, 2010a). Moreover, the LULC change is a major driver of environmental change, and sustainability can be attained through the synergy between the social and human-environment structures of land (Turner, 2010).…”

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confidence: 99%

Analysis of land use/land cover change and urbanization to achieving sustainable development in Lagos, Nigeria

Onilude¹

2023

Preprint

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<p>The perception of land use change dynamics is important for sustainable land resource management in developing countries such as Nigeria where most of the people depend on natural resources from the land for their livelihoods. Globally, land use and land cover (LULC) change is a major factor of environmental and climate change; rapid urban growth has caused some environmental problems such as loss of agricultural land, land degradation, water shortage, and pollution. This dissertation examines LULC change and urbanization, and the implications on sustainable development (SD) in Lagos Nigeria using spatial analysis. The dissertation contains three inter-related studies as follows: first research examines the urban sprawl and growth prediction for Lagos using GlobeLand30 product combined with GIS and Cellular Automata model. The next study ascertains land use change and impacts on urban and rural areas utilizing landscape metrics (LMs) and FRAGSTATS algorithm for statistical analysis. The final study reviews the agricultural land use and urban sustainability. This study demonstrated the efficiency of GlobeLand30 data and GIS integration with CA_Markov for LULC change analysis and prediction of future LULC scenarios. This research has shown that LMs are universal, potent, and useful to understand the spatial pattern of LULC change in urban-rural context. In conclusion, the outcomes of this study will help the urban planners, policymakers, and the governments in Nigeria to make crucial informed decisions about sustainable urban growth and improved land use management.</p>

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“…While the utility of remote sensing and GIS for capturing the spatial dimensions of social impacts in mining areas remains under-researched (Bennett et al, 2022;Hall, 2010;Semborski et al, 2022;Werner et al, 2019), there is an established practice of studying health impacts geospatially where GIS is used as the main tool of analysis (DeLemos et al, 2007;Diringer et al, 2015;Shandro et al, 2011;Winkler et al, 2010). It can be anticipated that with technical and conceptual advancement in GIS and remote sensing methods, an increase in their application is inevitable, and insights are likely to improve as a result of improvements in data (e.g.…”

Section: Introductionmentioning

confidence: 99%

Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining

Ang

Owen

Gibbins

et al. 2023

The Journal of Environment & Development

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As the mining industry expands, a comprehensive understanding of its socioeconomic risks and benefits is urgently needed. This paper systematically reviews 71 studies (1996–2021) that utilized spatially integrated approaches to evaluate socioeconomic mining impacts. The number of studies that utilize geographic information systems and remote sensing to study mining impacts increased from 2014 onwards. A framework was used to classify the mining impacts studied in the literature and all eight framework categories – Environment, Land, People, Community, Culture, Livelihoods, Infrastructure and Housing – were captured by the literature though Culture was least studied. Coal mining, active mining phase, Landsat data and classic remote sensing algorithms were most highlighted. Future research should focus on advancing geospatial technology like artificial intelligence (AI) to better capture intangible socioeconomic impacts, under-researched minerals and long-term mine lifecycle components. Spatially referenced social data can improve stakeholder involvement and support spatially explicit planning to ensure sustainability.

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Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25~!

Cited by 28 publications

References 75 publications

Bridging the Semantic Gap between Land Tenure and EO Data: Conceptual and Methodological Underpinnings for a Geospatially Informed Analysis

Bridging the Semantic Gap between Land Tenure and EO Data: Conceptual and Methodological Underpinnings for a Geospatially Informed Analysis

Analysis of land use/land cover change and urbanization to achieving sustainable development in Lagos, Nigeria

Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining

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