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The present paper aims to gain greater insight on this demand by identifying landscape preferences of urban users, framed by the multifunctional transition theory, and using a photo-based survey with contrasting land covers derived from CORINE Land Cover classes.
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The model, which is based on land cover derived from remotely sensed satellite imagery, determines the geographic extent, patterns, and classes of urban growth over time.
New Zealand, for example, has national-scale maps of land cover derived from satellite imagery (Land Cover Database; Thompson et al. 2004) and vegetative cover maps (Newsome 1987), but these maps have insufficient thematic resolution to assess ecosystem representation.
Canopy cover derived from discrete-return LiDAR data was not sensitive to forest AGB, while canopy cover estimated by full-waveform LiDAR data (CCWF) showed moderate correlation with forest AGB.
Chart of climatological mean global snow cover derived from datasets of the terrestrial water budget data archive (Willmott and Matsuura [2001]) and map of months showing seasonal runoff maxima based on the climatological runoff dataset (Dai and Trenberth [2002]).
Here we combined land cover derived from satellite imagery and other environmental data from the northern Peruvian Andes into a first differencing regression model to assess wetland hydrologic connectivity.
Here we describe the identification of monitoring thresholds by defining the limits of desirable canopy cover, derived from expert stakeholder preferences, in the Sundays Spekboom Thicket vegetation of the Addo Elephant National Park, South Africa.
Land cover derived from remotely sensed products is an important input to a number of different global, regional and national scale applications including resource assessments and economic land use models.
The hedgerow canopy cover derived from the SAR image is a strong predictor of the abundance of forest carabid beetles at two scales i.e., a local scale and a landscape scale.
Sub-pixel NDVIs for the different land-cover classes are calculated by solving a weighted linear system of equations for each pixel of a coarse resolution image, exploiting information about within-pixel fractional cover derived from a high resolution land-use map.
Mixing of deciduous and evergreen tree species generate an intermediate level of plant diversity (richness and cover) derived from the mixture of shared plants, many of these herbs (Macrachaenium gracile, Senecio acanthifolius) shrubs (Maytenus disticha, Rubus geoides) or Nothofagus seedlings that grow under a closed canopy regardless of the canopy composition.
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