Sentence examples for landscape reconstruction from inspiring English sources

Changes in land-cover were quantitatively reconstructed using Landscape Reconstruction Algorithm (LRA) models.

A recently developed approach, the Landscape Reconstruction Algorithm (LRA), is used to reconstruct regional and local vegetation cover in five hundred year time intervals, on a gradient from the coast to the inner fjord of western Norway.

This hampers landscape reconstruction at a regional scale.

Models can serve as temporal interpolators for landscape reconstruction, and geostatistical interpolation can assist in obtaining full-cover maps.

3D landscape reconstruction reveals hills, plains and an anastomosing river system.

An age-based landscape reconstruction, which focuses on late Holocene alluvium, is presented.

It was mostly applied in theoretical models until recent years, when empirical data began to allow partial landscape reconstructions.

This influence poses an unconsidered bias that potentially affects the results of landscape reconstructions.

Palaeoenvironmental data were also compared with local archaeo-historical datasets which allowed refined landscape reconstructions, especially for late Antiquity.

The paper also highlights the potential of spatial models based on archival data for historical landscape reconstructions.

However, environmental changes in the late Pleistocene and Holocene have caused erosion and sedimentation resulting in burial of some archaeological sites making archaeological landscape reconstructions more challenging.