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• W2182722887 endingPage "63" @default.
• W2182722887 startingPage "51" @default.
• W2182722887 abstract "Remotely sensed data with different spatial resolutions are being used as the primary information source for the analysis of forest fragmentation. However, there is currently a lack of appropriate methods that allow for the comparison of forest fragmentation estimates across various spatial scales. To provide insights into this problem we analyzed a forested study area in central Spain and a set of 10 widely used fragmentation indices. Forests were mapped from two simultaneously gathered satellite images with different spatial resolu- tions, 30 m (Landsat-TM) and 188 m (IRS-WiFS). TM forest data were transferred to WiFS resolution through different aggregation rules and compared with actual WiFS data. We found that incorporating sensor point spread function (which replicates the real way in which remote sensors acquire radiation from the ground) greatly improved comparability of forest fragmentation indices. We found a poor performance of power scaling laws for estimating forest fragmentation at finer spatial resolutions, and suggest that the true accuracy and practical utility of these scaling functions may have been overestimated in previous literature. Finally, we report an unstable behavior of three cell-based fragmentation indices (clumpiness, aggregation, and patch cohesion indices), for which spuriously high values can be obtained by resampling forest data to finer spatial resolutions. We believe that the results and guidelines provided may significantly contribute to an adequate analysis and comparison across scales of forest fragmentation estimations. FOR .S CI. 51(1):51- 63." @default.
• W2182722887 created "2016-06-24" @default.
• W2182722887 creator A5021855370 @default.
• W2182722887 creator A5069433548 @default.
• W2182722887 date "2005-02-01" @default.
• W2182722887 modified "2023-09-27" @default.
• W2182722887 title "Forest Fragmentation Estimated from Remotely Sensed Data: Is Comparison Across Scales Possible?" @default.
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• W2182722887 doi "https://doi.org/10.1093/forestscience/51.1.51" @default.
• W2182722887 hasPublicationYear "2005" @default.
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