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Displaying 1461 - 1465 of 2258Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data
The western part of Crete Island has undergone serious landslide events in the past. The intense rainfalls that took place in the September 2018 to February 2019 period provoked extensive landslide events at the northern part of Chania prefecture, along the motorway A90. Geospatial analysis methods and earth observation data were utilized to investigate the impact of the various physical and anthropogenic factors on landslides and to evaluate landslide susceptibility. The landslide inventory map was created based on literature, aerial photo analysis, satellite images, and field surveys.
Smart Villages: Where Can They Happen?
The European Union is actively promoting the idea of “smart villages”. The increased uptake of new technology and in particular, the use of the internet, is seen as a vital part of strategies to combat rural decline. It is evident that those areas most poorly connected to the internet are those confronted by the greatest decline. The analysis in this paper is based on Poland, which at the time of EU accession had many deeply disadvantaged rural areas. Using fine-grained socio-economic data, an association can be found between weak internet access and rural decline in Poland.
Spatial Planning, Urban Governance and the Economic Context: The Case of ‘Mehr’ Housing Plan, Iran
With the increasing concentration of population and economic activities in metropolitan regions, dwelling shortages and housing quality have become critical issues in urban management. Town plans considering social, economic, political, and cultural features of local communities have been developed with the aim of supporting housing, especially in emerging economies. In Iran, the ‘Mehr Housing’ Plan has been considered as one of the most relevant strategies for social housing since the 2000s.
Maximum Fraction Images Derived from Year-Based Project for On-Board Autonomy-Vegetation (PROBA-V) Data for the Rapid Assessment of Land Use and Land Cover Areas in Mato Grosso State, Brazil
This paper presents a new approach for rapidly assessing the extent of land use and land cover (LULC) areas in Mato Grosso state, Brazil. The novel idea is the use of an annual time series of fraction images derived from the linear spectral mixing model (LSMM) instead of original bands. The LSMM was applied to the Project for On-Board Autonomy-Vegetation (PROBA-V) 100-m data composites from 2015 (~73 scenes/year, cloud-free images, in theory), generating vegetation, soil, and shade fraction images. These fraction images highlight the LULC components inside the pixels.
Quarries: From Abandoned to Renewed Places
Numerous industrial pits are discarded after their exploitation in every part of the world. Humanity both transforms the original morphology of the landscape, due to industrial activity in the territory, and, at the same time, rejects this "new" situation. This is to the detriment of the landscape, which is witness to this transfiguration, degradation, and abandonment. What is the future of these impersonal and empty areas? In this article, we present a general survey concerning the notion of quarry reuse to highlight the importance of this current and common problem.