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Yikalo Araya   Mr.  Graduate Student or Post Graduate 
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Yikalo Araya published an article in April 2016.
Top co-authors
Pedro Cabral

51 shared publications

NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisbon, Portugal

Gabriela Augusto

3 shared publications

Mussie Tewolde

1 shared publications

Publication Record
Distribution of Articles published per year 
(2010 - 2016)
Total number of journals
published in
Article 0 Reads 4 Citations What governs the presence of residual vegetation in boreal wildfires? Yikalo H. Araya, Tarmo K. Remmel, Ajith H. Perera Published: 08 April 2016
Journal of Geographical Systems, doi: 10.1007/s10109-016-0227-9
DOI See at publisher website
Article 0 Reads 2 Citations Residual Vegetation Patches within Natural Boreal Wild Fires: Characterizing by Pattern Metrics, Land Cover Expec tation... Yikalo H. Araya, Tarmo K. Remmel, Ajith H. Perera Published: 01 December 2015
Geomatica, doi: 10.5623/cig2015-402
DOI See at publisher website
Article 1 Read 17 Citations Entropy in Urban Systems Gabriela Augusto, Mussie Tewolde, Yikalo Araya, Pedro Cabral Published: 27 November 2013
Entropy, doi: 10.3390/e15125223
DOI See at publisher website ABS Show/hide abstract
Entropy is a useful concept that has been used to describe the structure and behavior of different systems. We summarize its multifaceted character with regard to its implications for urban sprawl, and propose a framework to apply the concept of entropy to urban sprawl for monitoring and management.
Article 1 Read 61 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.