

Author: Gearhart Amanda Booth D. Terrance Sedivec Kevin Schauer Christopher
Publisher: Taylor & Francis Ltd
ISSN: 1010-6049
Source: Geocarto International, Vol.28, Iss.6, 2013-10, pp. : 517-526
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Abstract
Ground-based vegetation monitoring methods are expensive, time-consuming and limited in sample size. Aerial imagery is appealing to managers because of the reduced time and expense and the increase in sample size. One challenge of aerial imagery is detecting differences among observers of the same imagery. Six observers analysed a set of 1-mm ground sample distance aerial imagery for graminoid species composition and important ground-cover characteristics. Kendall's coefficient of concordance (
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