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Showing items 1 through 9 of 45.
Case studies of social-ecological landscapes that consider local, spatially explicit land cover changes are necessary for the development of generalised knowledge on deforestation.
This study analyzed and evaluated the changes that occurred in two coastal wetlands, characterized by complex and fragmented landscape patterns, in Southern Italy, which were monitored over a period of seven years from 2007 to 2014.
This manual presents a methodology for assessing woodfuel supply and demand at the level of the displacement camp through the collection of primary data in the field and remote sensing analysis.
The objective of this article is to develop and test a methodology capable of using medium spatial resolution satellite imagery to improve forest-area statistics derived from ground sampling.
In this study, an investigation was performed of the spatial relationships between the occurrences of four types of landslides (slides, flows, falls and creeps) and three categories of land cover (agricultural areas, artificial surfaces and forested and semi-natural areas) that are found in the A
Little is known about the potentially disrupting effects of wind farms on the habitat connectivity of flying vertebrates at the landscape scale. We developed a regional-scale model to assess the wind farm impact on bat migration and commuting routes.
For EU-Mediterranean olive groves (Olea europaea), mapped in CORINE, classes of olive farming intensities were derived from the outcome of a multi-temporal remote sensing vegetation dynamics analysis.
In Mediterranean mountains, the abandonment of traditional land-uses is promoting a rapid forest expansion. This trend may be exacerbated by nature reserves, which further limit human disturbance in mountain contexts.
This article explores the simultaneous use of pre-classification and post-classification change-detection techniques to map and monitor land-cover and land-use change using multi-temporal Landsat Multi-spectral Scanner and Enhanced Thematic Mapper plus data over one of the most important tourism
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