ISSN:
1572-9761
Keywords:
grain
;
extent
;
index
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
Notes:
Abstract Remotely sensed data for Southeastern United States (Standard Federal Region 4) are used to examine the scale problems involved in reporting landscape pattern for a large, heterogeneous region. Frequency distributions of landscape indices illustrate problems associated with the grain or resolution of the data. Grain should be 2 to 5 times smaller than the spatial features of interest. The analyses also reveal that the indices are sensitive to the calculation scale,i.e., the unit area or extent over which the index is computed. This “sample area” must be 2 to 5 times larger than landscape patches to avoid bias in calculating the indices.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02447515
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