Detecting land use and land cover change on Barbuda before and after the Hurricane Irma with respect to potential land grabbing: A combined volunteered geographic information and multi sensor approach

Rienow, Andreas; Schweighöfer, Jan; Dedring, Torben; Goebel, Marcus; Graw, Valerie

doi:10.1016/j.jag.2022.102732

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…Due to the ubiquitous availability of mobile devices, many kinds of user-specific data are also available. Such user-generated data stem from the field of volunteered geographic information (e.g., Rienow et al 2022;Sui et al 2012), where people transmit (mostly actively) specific data (e.g., on temperatures, rainfall, routing etc.). Those data sets are well-suited to add additional measurements in between a sparse official measuring network (e.g., weather stations).…”

Section: The Nature Of Geodatamentioning

confidence: 99%

Basic Geo-Spatial Data Literacy Education for Economic Applications

Jürgens

Redecker

2023

KN J. Cartogr. Geogr. Inf.

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Geospatial data literacy is of paramount importance in an increasingly digital business world. Especially in economic decision-making processes, the ability to judge the trustworthiness of pertinent data sets is inevitable for reliable decisions. Thus, geospatial competencies need to supplement the university’s teaching syllabus of economic degree programmes. Even if these programmes already have a lot of content, it is worth adding geospatial topics to educate students as skilled young experts, being geospatially literate. This contribution shows an approach on how to sensitise students and teachers with an economics background to understand the origin of geospatial data sets, their specific nature, their quality and how to gain geospatial data sets with a particular focus on sustainable economics applications. It proposes a teaching approach for educating students on geospatial characteristics of data, making them aware of spatial reasoning and spatial thinking. Especially it is vital to give them an impression of the manipulating nature of maps and geospatial visualisations. The aim is to show them the power of geospatial data and map products for research in their specific thematic field. The presented teaching concept originates from an interdisciplinary data literacy course geared to students other than geospatial sciences. It incorporates elements of a flipped classroom and a self-learning tutorial. This paper shows and discusses the results of the implementation of the course. Positive exam results imply that the teaching concept provides a suitable way to impart geospatial competencies to students belonging other than geo-related subjects.

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Section: The Nature Of Geodatamentioning

confidence: 99%

Basic Geo-Spatial Data Literacy Education for Economic Applications

Jürgens

Redecker

2023

KN J. Cartogr. Geogr. Inf.

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“…Land use change is the process by which an area or region undergoes a change in the type of land use over time [13], [14]. This change can involve a shift from one type of land use to another, such as a change from agricultural land to residential land, forest land to industrial land, and so on [15], [16]. Land use change can be influenced by various factors, including population growth, urbanization, government policies, and socio-economic changes [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Land Use Change in Slawi Subdistrict, Tegal Regency, 2014 - 2024 Using High Resolution Satellite Imagery Data

Rakuasa,

Nurul Achmadi

2024

JDAICS

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This research aims to analyze land use change in Slawi Sub-district, Tegal Regency, from 2014 to 2024 using high-resolution satellite image data. This study used Worldview-2 high resolution satellite image data in 2014 and Geoeye-1 in 2024. This study was classified into 14 land use classes consisting of rivers, roads, railways, agriculture, green open space, other vegetation, industry, housing, government, public service facilities, trade services, transportation, defense and security and open land. The spatial analysis method was used to map changes in land area based on the main use classes such as agriculture, housing, and infrastructure. The results showed a significant decrease in agricultural land area as well as an increase in residential land area and infrastructure, reflecting the changing pattern of regional growth and development. In conclusion, an in-depth understanding of land use dynamics in Slawi Sub-district is important to support environmental management policies, natural resource conservation, and sustainable regional development in the future.

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“…To date, a number of studies have used remotely sensed data to examine spatio‐temporal patterns of LUCC (Lambin et al, 2001; Mas et al, 2014; Parker et al, 2003), including structure, type, and distribution (Li et al, 2014). More importantly, the interaction mechanism between LUCC and driving factors of natural, socio‐economic and policy have gained much attention (Feng et al, 2013; Lambin & Meyfroidt, 2011; Rienow et al, 2022). With the increasing demand for transportation, warehousing, trading and other venues in the trade industries of various countries, scholars have begun to pay attention to related‐LUCC in border areas, such as borderlands construction land and the response to trade development (Liang et al, 2015; Liu et al, 2018; Xiao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Impact of armed conflict on land use and land cover changes in global border areas

2022

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National borderlands as the spatial carrier and forefront for exerting geopolinomical influence and implementing geopolinomical strategy, most have the same or similar eco-geographical structure characteristics, such as land cover. However, there are different development trends in different national relationships (e.g., cooperation and conflict), and land use and land cover changes (LUCC), especially in apparent in border areas. In general, armed conflict in border areas is accompanied by severe, immediate and long-lasting LUCC-like forest loss. Here, by means of geospatial analysis, the Uppsala Conflict Data Program and Climate Change Initiative Land Cover dataset were used to investigate the linkages between the armed conflict and LUCC or the patterns and processes of LUCC before, during and after armed conflict around the globe in borderlands from 1992 to 2020. The main and key insights are: (1) nearly 50% of global armed conflict has occurred and re-occurred in these borderlands since 1992, leading to about 16.5% of LUCC globally; (2) the impact of armed conflict on LUUC is hysteretic, based on the intensity of conflict, especially in borderlands;(3) the transfer rate of land use is high during the conflict and tends to be stable in the post-conflict period; (4) the absolute amount of armed conflict damage to forest land is large, but the changes rate of impervious surfaces is far more than the former, nearly 18 times greater. These findings improve the understanding of the impact of armed conflict on LUCC, in border areas. This study could provide a proxy and benchmark for exploring the cause-effect and impact-response between geopolinomical relations and the borderlands LUCC.armed conflict, border areas, geopolinomical relations, geospatial analysis, land use and land cover changes | INTRODUCTIONAs a vital part of global climate change, biodiversity conservation and sustainable development, land use and land cover changes (LUCC) are also an important field for the humanities and natural sciences (Nagabhatla et al., 2015). Since the 1980s, especially in the past 20-30 years, the world has experienced profound and wide LUCC (Song et al., 2018). To date, a number of studies have used remotely sensed data to examine spatio-temporal patterns of LUCC (Lambin et al., 2001;Mas et al., 2014; Parker et al., 2003), including structure, type, and distribution (Li et al., 2014). More importantly, the interaction mechanism between LUCC and driving factors of natural, socio-economic and policy have gained much attention (Feng et al., 2013;Lambin & Meyfroidt, 2011;Rienow et al., 2022). With the increasing demand for transportation, warehousing, trading and other venues in the trade industries of various countries, scholars have begun to pay attention to related-LUCC in border areas, such as borderlands construction land and the

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Detecting land use and land cover change on Barbuda before and after the Hurricane Irma with respect to potential land grabbing: A combined volunteered geographic information and multi sensor approach

Cited by 7 publications

References 23 publications

Basic Geo-Spatial Data Literacy Education for Economic Applications

Basic Geo-Spatial Data Literacy Education for Economic Applications

Spatial Analysis of Land Use Change in Slawi Subdistrict, Tegal Regency, 2014 - 2024 Using High Resolution Satellite Imagery Data

Impact of armed conflict on land use and land cover changes in global border areas

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