The use of GIS for monitoring and predicting urban growth in East and West St Paul, Winnipeg, Manitoba, Canada

Hathout, Salah

doi:10.1006/jema.2002.0596

Cited by 55 publications

(37 citation statements)

References 7 publications

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“…[12]. Satellite remote sensing (RS) and Geographical Information System (GIS) have been widely applied in identifying and analyzing LCC for different purposes [13].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Land Cover Changes in the Simen Mountains National Park, a World Heritage Site in Northwestern Ethiopia

et al. 2011

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Abstract:The trend of land cover (LC) and land cover change (LCC), both in time and space, was investigated at the Simen Mountains National Park (SMNP), a World Heritage Site located in northern Ethiopia, between 1984 and 2003 using Geographical Information System (GIS) and remote sensing (RS). The objective of the study was to generate spatially and temporally quantified information on land cover dynamics, providing the basis for policy/decision makers and resource managers to facilitate biodiversity conservation, including wild animals. Two satellite images (Landsat TM of 1984 and Landsat ETM+ of 2003) were acquired and supervised classification was used to categorize LC types. Ground Control Points were obtained in field condition for georeferencing and accuracy assessment. The results showed an increase in the areas of pure forest (Erica species dominated) and shrubland but a decrease in the area of agricultural land over the 20 years. The overall accuracy and the Kappa value of classification results were 88 and 85%, respectively. The spatial setting of the LC classes was heterogeneous and resulted from the biophysical nature of SMNP and anthropogenic activities. Further studies are suggested to evaluate the existing LC and LCC in connection with wildlife habitat, conservation and management of SMNP. OPEN ACCESSRemote Sens. 2011, 3 753

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“…[12]. Satellite remote sensing (RS) and Geographical Information System (GIS) have been widely applied in identifying and analyzing LCC for different purposes [13].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Land Cover Changes in the Simen Mountains National Park, a World Heritage Site in Northwestern Ethiopia

et al. 2011

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“…The changing patterns of land use in territories have been studied by other authors (Hathout, 2002;Verburg et al, 2006). Data from the CORINE project allowed straightforward parameterization and implementation of the model, permitting the analysis of suitability of conservation policies, and the differences based on the protection category present.…”

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confidence: 99%

Land use change in a Mediterranean metropolitan region and its periphery: assessment of conservation policies through CORINE Land Cover data and Markov models

Ruiz‐Benito

Cuevas²,

Bravo

et al. 2010

For. syst.

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Sustainable territorial management requires reliable assessment of the impact of conservation policies on landscape structure and dynamics. Euro-Mediterranean regions present a remarkable biodiversity which is linked in part to traditional land use practices and which is currently threatened by global change. The effectiveness of one-decade conservation policies against land use changes was examined in Central Spain (Madrid Autonomous Community). A Markov model of landscape dynamics was parameterized with CORINE Land Cover information and transition matrices were obtained. The methods were applied in both protected and unprotected areas to examine whether the intensity and direction of key land use changes -urbanisation, agricultural intensification and land abandonment-differed significantly depending on the protection status of those areas. Protected areas experienced slower rates of agricultural intensification processes and faster rates of land abandonment, with respect to those which occurred in unprotected areas. It illustrates how simple mathematical tools and models -parameterized with available data-can provide to managers and policy makers useful indicators for conservation policy assessment and identification of land use transitions.Key words: global change; land use and land cover change; traditional and cultural land uses; protected areas and protection categories. ResumenCambio en el uso del suelo en una región Mediterránea metropolitana y su periferia: evaluación de las políticas de conservación mediante datos del CORINE Land Cover y modelos de Markov La gestión sostenible del territorio requiere de análisis realistas sobre el impacto de las políticas de conservación en la estructura y dinámica del paisaje. La región Euro-Mediterránea presenta una biodiversidad remarcable que está unida en parte a las prácticas tradicionales del uso del suelo y que actualmente está amenazada por el cambio global. La efectividad de la implantación de políticas de conservación frente a los cambios en el uso del suelo fue examinada en el centro de España (Comunidad Autónoma de Madrid). Se usaron modelos de Markov para analizar la dinámica del paisaje parametrizados con información del CORINE Land Cover y se obtuvieron las matrices de transición. La metodología se aplicó en áreas protegidas y no protegidas para examinar si la intensidad y dirección de los cambios del uso del suelo claves -urbanización, intensificación agrícola y abandono-difieren significativamente en función del grado de protección. Las áreas protegidas experimentaron menores tasas en el proceso de intensificación agrícola y mayores en el abandono con respecto a las ocurridas en zonas sin protección. Se demuestra cómo modelos y herramientas matemáticas -parametrizados con los datos disponibles-pueden proporcionar a gestores y políticos indicadores útiles para la evaluación de políticas de conservación e identificación de transiciones de uso del suelo.Palabras clave: cambio global; cambios en el uso y cobertura del suelo; usos del suelo tradic...

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“…Markov chains are stochastic processes (Balzter 2000) and uses the matrices that show changes between land-use categories (based on the basic core principle of continuation of historical development) (Koomen and Beurden 2011) and widely used in modeling and simulating changes and trends of LULC (Balzter 2000;Coppedge et al 2007;Hathout 2002;Luo et al 2008;Muller and Middleton 1994;Weng 2002). The homogeneous Markov model for prediction of land use change can be mathematically presented as (Subedi et al 2013):…”

Section: Markov Chainmentioning

confidence: 99%

Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

Parsa

Yavari

Nejadi

2016

Model. Earth Syst. Environ.

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Main global environment and ecological functions and structure affected by land use/cover changes (LUCC). Analysis of the dynamic LUCC can be very useful in biosphere reserves (BRs) management. The Land use and cover (LULC) spatio-temporal changes in the Arasbaran BR were classified (as Agricultural, Forest and Barren/Range lands), and compared with future spatial pattern (simulated using the CA-Markov model) to evaluate qualitative and quantitative changes of this BR LULC over time (1989, 2000 and 2013 with 2037). This analysis consisted of the whole area and also in respect to each of the zones within the Arasbaran BR (as a new approach to assess BR management quality). Based on this approach, the LUCC monitoring alongside the future simulation offers an early warning system that also shows us trends and consequences of the changes for the whole BR as well as for each zone (including the core zone) of BR separately. The results show a downward trend for forestland at the expense of increasing agricultural and barren/range land surface areas. Furthermore this loss of remnant forest vegetation is not only true for the whole BR (; including its buffer and transitional zones) but is happening within the core zone where it will probably continue more severely in the near future. The results demonstrate the priority need for more severe regulations regarding protection of this BR against LUCCs and for its valuable core zone forest LULC in particular.

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The use of GIS for monitoring and predicting urban growth in East and West St Paul, Winnipeg, Manitoba, Canada

Cited by 55 publications

References 7 publications

Spatial and Temporal Land Cover Changes in the Simen Mountains National Park, a World Heritage Site in Northwestern Ethiopia

Spatial and Temporal Land Cover Changes in the Simen Mountains National Park, a World Heritage Site in Northwestern Ethiopia

Land use change in a Mediterranean metropolitan region and its periphery: assessment of conservation policies through CORINE Land Cover data and Markov models

Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran

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