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A monitoring protocol for vegetation change on Irish peatland and heath

O'Connell, J.; Connolly, John LU and Holden, N. M. (2014) In ITC Journal 31. p.130-142
Abstract
Amendments to Articles 3.3 and 3.4 of the Kyoto Protocol have meant that detection of vegetation change may now form an interracial part of national soil carbon stocks. In this study multispectral multi-platform satellite data was processed to detect change to the surface vegetation of four peatland sites and one heath in Ireland. Spectral and spatial thresholds were used on difference images between master and slave data in the extraction of temporally invariant targets for multi-platform cross calibration. The Kolmogorov-Smirnov test was used to evaluate any difference in the cumulative probability distributions of the master, slave and calibrated slave data as expressed by the D statistic, with values reduced by an average of 89.7% due... (More)
Amendments to Articles 3.3 and 3.4 of the Kyoto Protocol have meant that detection of vegetation change may now form an interracial part of national soil carbon stocks. In this study multispectral multi-platform satellite data was processed to detect change to the surface vegetation of four peatland sites and one heath in Ireland. Spectral and spatial thresholds were used on difference images between master and slave data in the extraction of temporally invariant targets for multi-platform cross calibration. The Kolmogorov-Smirnov test was used to evaluate any difference in the cumulative probability distributions of the master, slave and calibrated slave data as expressed by the D statistic, with values reduced by an average of 89.7% due to the cross calibration procedure. A change detection model was created which incorporated a spatial threshold of 9 pixels and a standard deviation (SD) spectral threshold. Kappa accuracy values for the five sites ranged from 80 to 97%, showing that 1.5 SD was the optimum spectral threshold for detecting vegetation change. Change detection results showed mean percentage change ranging from 2.11 to 3.28% of total area and cumulative change over the observed time period of between 15.24 and 49.27% of total area. (C) 2014 Elsevier B.V. All rights reserved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Change detection, Cross calibration, Peatlands, EVI2, Heaths
in
ITC Journal
volume
31
pages
130 - 142
publisher
Elsevier
external identifiers
  • wos:000336700900013
  • scopus:84904501343
ISSN
0303-2434
DOI
10.1016/j.jag.2014.03.006
project
MERGE
language
English
LU publication?
yes
id
32811a35-7647-40cc-a291-0a386a4a1dc0 (old id 4552340)
date added to LUP
2014-07-17 10:25:35
date last changed
2017-03-26 03:52:24
@article{32811a35-7647-40cc-a291-0a386a4a1dc0,
  abstract     = {Amendments to Articles 3.3 and 3.4 of the Kyoto Protocol have meant that detection of vegetation change may now form an interracial part of national soil carbon stocks. In this study multispectral multi-platform satellite data was processed to detect change to the surface vegetation of four peatland sites and one heath in Ireland. Spectral and spatial thresholds were used on difference images between master and slave data in the extraction of temporally invariant targets for multi-platform cross calibration. The Kolmogorov-Smirnov test was used to evaluate any difference in the cumulative probability distributions of the master, slave and calibrated slave data as expressed by the D statistic, with values reduced by an average of 89.7% due to the cross calibration procedure. A change detection model was created which incorporated a spatial threshold of 9 pixels and a standard deviation (SD) spectral threshold. Kappa accuracy values for the five sites ranged from 80 to 97%, showing that 1.5 SD was the optimum spectral threshold for detecting vegetation change. Change detection results showed mean percentage change ranging from 2.11 to 3.28% of total area and cumulative change over the observed time period of between 15.24 and 49.27% of total area. (C) 2014 Elsevier B.V. All rights reserved.},
  author       = {O'Connell, J. and Connolly, John and Holden, N. M.},
  issn         = {0303-2434},
  keyword      = {Change detection,Cross calibration,Peatlands,EVI2,Heaths},
  language     = {eng},
  pages        = {130--142},
  publisher    = {Elsevier},
  series       = {ITC Journal},
  title        = {A monitoring protocol for vegetation change on Irish peatland and heath},
  url          = {http://dx.doi.org/10.1016/j.jag.2014.03.006},
  volume       = {31},
  year         = {2014},
}