Geomorphometry:
Concepts, Software, Applications
Developments in Soil Science – Volume 33
Edited by
TOMISLAV HENGL
Institute for Biodiversity and Ecosystem Dynamics
University of Amsterdam
Amsterdam, The Netherlands
HANNES I. REUTER
Institute for Environment and Sustainability
DG Joint Research Centre
Land Management and
Natural Hazards Unit – European Commission
Ispra, Italy
Elsevier
Amsterdam • Boston • Heidelberg • London • New York • Oxford
Paris • San Diego • San Francisco • Singapore • Sydney • Tokyo
First edition
2009
CHAPTER 21
Vegetation Mapping Applications
S.D. Jelaska
p p. 481 - 496
vegetation mapping and its importance · the role of geomorphometry in vegetation mapping · the spatial prediction of vegetation variables using land-surface parameters · statistical prediction models and their use · evaluating mapping accuracy · does data from remote sensing compete or cooperate with land-surface parameters and objects in predicting current vegetation cover? · spatial resolution and statistical methods for mapping vegetation
FIGURE 5 An automated extraction of land-cover classes: (a) an orthophoto of the Baranja Hill area, overlaid with manually digitised land-cover areas; (b) land-cover classes from the CLC 2000 Croatia (www.azo.hr) and field observations; (c) the land-cover of the study area, predicted using land-surface parameters only; (d) the land-cover of the study area predicted using land-surface parameters plus RS data; (e) the land-cover of the study area, predicted using RS data only. (See page 746 in Colour Plate Section at the back of the book.)
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