Sentence examples for maps of vegetation from inspiring English sources

The classification of vegetation and the preparation of maps of vegetation have been notably advanced by F. Shreve, H.L. Shantz, H.M. Raup, and others.

Maps of vegetation and geomorphologic units were created, and from the correlation between landforms and vegetation types we identified morpho-vegetation units.

The resulting maps of vegetation structure at five time periods from 1945 to present gave new insights into the ecological processes of secondary forest succession.

We use a data assimilation approach to extend ε and GPP to temporally continuous and spatially contiguous maps of vegetation carbon uptake.

These metrics of vegetation condition were used to develop two continuous maps of vegetation condition across an area of 260,000 ha using statistical models (generalised additive models, GAMs) built with explanatory variables derived from a range of sources including digital elevation models (DEMs), metrics of landscape connective, land use mapping and satellite remote sensing.

Results showed that simulating map error through the use of dynamic PDFs can contribute significant, realistic uncertainty in a Monte Carlo analysis, but that impacts of fire and harvest on carbon storage may nevertheless be clearly identified and differentiated using remotely sensed maps of vegetation and disturbance.

This chapter of GIS applications on Mapping of Vegetation focuses on four major topics.

Mapping of vegetation was used to detect windthrow processes in primary forest communities.

Regional-scale mapping of vegetation characteristics such as extent, configuration, composition and condition are critical for managing native vegetation.

Hence, some kind of landscape stratification is required before using hyperspectral imagery for large-scale mapping of vegetation biophysical variables.

Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and topographic distortions.