نتایج جستجو برای: 110135bottom view landscape

تعداد نتایج: 331335  

Journal: :Remote Sensing 2015
Martha Raynolds Borgþór Magnússon Sigmar Metúsalemsson Sigurður H. Magnússon

In a greening Arctic, Iceland stands out as an area with very high increases in the AVHRR Normalized Difference Vegetation Index (NDVI, 1982–2010). We investigated the possible sources of this anomalous greening in Iceland’s dynamic landscape, analyzing changes due to volcanism and warming temperatures, and the effects of agricultural and industrial land use changes. The analysis showed the inc...

Journal: :Proceedings of the National Academy of Sciences 2018

2007
L. C. Frost E. Willems M. S. Calvo Iglesias

This paper explores the spatial dimension of the landscape, with the aim of building an indicator of landscape state for the European Union that accounts for the difference in heterogeneity among rural landscapes across Member States. The investigation mainly utilised land cover data from the CORINE Land Cover 2000 inventory. This was later compared with ground truth photographic data for speci...

2004
Duncan Cavens Christian Gloor Kai Nagel Eckart Lange Willy A. Schmid

While the visual qualities of a landscape are often key factors in attracting and retaining tourist visitors, they have been overlooked in recent simulation approaches to recreation modelling. While there has been a long history of modelling the visual quality of a landscape, particularly in forestry, due to computational restrictions these models have tended to be rather coarse and primarily s...

Journal: :CoRR 2014
Marc Harper

The interrelationships of the fundamental biological processes natural selection, mutation, and stochastic drift are quantified by the entropy rate of Moran processes with mutation, measuring the long-run variation of a Markov process. The entropy rate is shown to behave intuitively with respect to evolutionary parameters such as monotonicity with respect to mutation probability (for the neutra...

2010
Keith McGreggor Maithilee Kunda Ashok K. Goel

We present a fractal technique for addressing geometric analogy problems from the Raven's Standard Progressive Matrices test of general intelligence. In this method, an image is represented fractally, capturing its inherent selfsimilarity. We apply these fractal representations to problems from the Raven's test, and show how these representations afford a new method for solving complex geometri...

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