Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery

McInerney, Daniel Kempeneers, Pieter Marron, Magdalene McRoberts, Ronald E.

Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery

McInerney, Daniel 1Kempeneers, Pieter 2Marron, Magdalene 3McRoberts, Ronald E.4
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作者信息

  • 1. Coillte Forest, Limerick, Ireland
  • 2. EC Joint Res Ctr, Via Enrico Fermi 2749, I-21027 Ispra, VA, Italy
  • 3. Ordnance Survey Ireland, Phoenix Pk, Dublin, Ireland
  • 4. US Forest Serv, USDA, 1992 Folwell Ave, St Paul, MN 55108 USA
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Abstract

In recent years, several critical issues have been identified concerning the performance of recently established spruce forest plantations in Ireland, in particular coniferous reforestation sites. More specifically, the reforestation of peatland areas in the midlands of Ireland have been subject to encroachment by broadleaf species, such as birch, and willow. These species regenerate naturally and compete with, and outgrow, the coniferous species (commonly Norway spruce) that were planted. In many cases, the growth of these trees is faster than the spruce, resulting in stands being completely encroached by approximately 15 years of age. Given the widespread nature of this problem coupled with the fragmented nature of the Irish forest estate, a project was established to use Earth observation data to predict the spatial distribution and species composition of the affected sites. The spatial distribution and associated area estimates of broadleaf encroachment within State owned spruce forests were assessed using multi-temporal Landsat satellite imagery. The overall accuracy of the encroachment map was 85.23% and a Kappa Index of Agreement of 0.58. The associated area of encroached or broadleaf dominated forests was 20,003 ha with a confidence interval of +/- 20% calculated using a sample-based estimator.

Key words

Broadleaf encroachment/Optical satellite imagery/Image classification

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出版年

2019
International journal of applied earth observation and geoinformation

International journal of applied earth observation and geoinformation

SCI
ISSN:0303-2434
被引量2
参考文献量28
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