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Pedro Cabral  - - - 
Top co-authors See all
Jorge Flórez

158 shared publications

Department of Mathematics, University Jaume I, Castellón, Spain

Avit Kumar Bhowmik

19 shared publications

Stockholm Resilience Centre; Stockholm University; Sweden

Yikalo H. Araya

4 shared publications

Department of Geography, York University, Toronto, Canada

Gabriela Augusto

3 shared publications

5
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Publication Record
Distribution of Articles published per year 
(2010 - 2013)
Total number of journals
published in
 
2
 
Publications
Conference 0 Reads 1 Citation Space-Time Variability of Summer Temperature Field over Bangladesh during 1948-2007 Avit Kumar Bhowmik, Pedro Cabral Published: 01 January 2013
Lecture Notes in Computer Science, doi: 10.1007/978-3-642-39649-6_9
DOI See at publisher website
Article 0 Reads 37 Citations Urban Sprawl Analysis and Modeling in Asmara, Eritrea Mussie G. Tewolde, Pedro Cabral Published: 26 September 2011
Remote Sensing, doi: 10.3390/rs3102148
DOI See at publisher website ABS Show/hide abstract
The extension of urban perimeter markedly cuts available productive land. Hence, studies in urban sprawl analysis and modeling play an important role to ensure sustainable urban development. The urbanization pattern of the Greater Asmara Area (GAA), the capital of Eritrea, was studied. Satellite images and geospatial tools were employed to analyze the spatiotemporal urban landuse changes. Object-Based Image Analysis (OBIA), Landuse Cover Change (LUCC) analysis and urban sprawl analysis using Shannon Entropy were carried out. The Land Change Modeler (LCM) was used to develop a model of urban growth. The Multi-layer Perceptron Neural Network was employed to model the transition potential maps with an accuracy of 85.9% and these were used as an input for the ‘actual’ urban modeling with Markov chains. Model validation was assessed and a scenario of urban land use change of the GAA up to year 2020 was presented. The result of the study indicated that the built-up area has tripled in size (increased by 4,441 ha) between 1989 and 2009. Specially, after year 2000 urban sprawl in GAA caused large scale encroachment on high potential agricultural lands and plantation cover. The scenario for year 2020 shows an increase of the built-up areas by 1,484 ha (25%) which may cause further loss. The study indicated that the land allocation system in the GAA overrode the landuse plan, which caused the loss of agricultural land and plantation cover. The recommended policy options might support decision makers to resolve further loss of agricultural land and plantation cover and to achieve sustainable urban development planning in the GAA.
Conference 0 Reads 0 Citations Mapping the Quality of Life Experience in Alfama: A Case Study in Lisbon, Portugal Pearl May Dela Cruz, Pedro Cabral, Jorge Mateu Published: 01 January 2011
Fast Software Encryption, doi: 10.1007/978-3-642-21928-3_19
DOI See at publisher website
Conference 0 Reads 4 Citations Statistical Evaluation of Spatial Interpolation Methods for Small-Sampled Region: A Case Study of Temperature Change Phe... Avit Kumar Bhowmik, Pedro Cabral Published: 01 January 2011
Fast Software Encryption, doi: 10.1007/978-3-642-21928-3_4
DOI See at publisher website
Article 1 Read 64 Citations Analysis and Modeling of Urban Land Cover Change in Setúbal and Sesimbra, Portugal Yikalo H. Araya, Pedro Cabral Published: 09 June 2010
Remote Sensing, doi: 10.3390/rs2061549
DOI See at publisher website ABS Show/hide abstract
The expansion of cities entails the abandonment of forest and agricultural lands, and these lands’ conversion into urban areas, which results in substantial impacts on ecosystems. Monitoring these changes and planning urban development can be successfully achieved using multitemporal remotely sensed data, spatial metrics, and modeling. In this paper, urban land use change analysis and modeling was carried out for the Concelhos of Setúbal and Sesimbra in Portugal. An existing land cover map for the year 1990, together with two derived land cover maps from multispectral satellite images for the years 2000 and 2006, were utilized using an object-oriented classification approach. Classification accuracy assessment revealed satisfactory results that fulfilled minimum standard accuracy levels. Urban land use dynamics, in terms of both patterns and quantities, were studied using selected landscape metrics and the Shannon Entropy index. Results show that urban areas increased by 91.11% between 1990 and 2006. In contrast, the change was only 6.34% between 2000 and 2006. The entropy value was 0.73 for both municipalities in 1990, indicating a high rate of urban sprawl in the area. In 2006, this value, for both Sesimbra and Setúbal, reached almost 0.90. This is demonstrative of a tendency toward intensive urban sprawl. Urban land use change for the year 2020 was modeled using a Cellular Automata based approach. The predictive power of the model was successfully validated using Kappa variations. Projected land cover changes show a growing tendency in urban land use, which might threaten areas that are currently reserved for natural parks and agricultural lands.
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