New Zealand Journal of Ecology (2017) 41(1): 56-64

Estimating change in areas of indigenous vegetation cover in New Zealand from the New Zealand Land Cover Database (LCDB)

Research Article
John R. Dymond 1*
James D. Shepherd 1
Peter F. Newsome 1
Stella Belliss 2
  1. Landcare Research, Private Bag 11052, Palmerston North 4410, New Zealand
  2. Landcare Research, PO Box 69040, Lincoln 7640, New Zealand
*  Corresponding author
Abstract: 

Four iterations of the New Zealand Land Cover Database have been produced from satellite imagery for nominal dates of 1996/97, 2001/02, 2008/09 and 2012/13. These data may be used to estimate changes in area for land cover classes of interest. However, these estimates are subject to uncertainty, which can be significant, particularly when change in area is small. Changes in indigenous vegetation classes are of interest for a number of applications, including monitoring threatened environments. Here we show how the combination of exhaustive sampling of change polygons with random ‘truth’ sampling can be used to estimate the uncertainty of area change. We demonstrate the method on five important indigenous covers: indigenous forest, broadleaved indigenous hardwoods, mānuka and/or kānuka, tall tussock grassland, and subalpine shrubland. For these classes, we estimate their area in 2008/09 and the change of area between 2001/2002 and 2008/09. Areas were estimated to within plus or minus 5%. Change in areas were estimated to within plus or minus 10% of change for classes with a large change in area, and to within plus or minus 30% for the classes with a small change in area. We anticipate similar uncertainties for estimated changes in area between the other dates and for other classes. The number of random ‘truth’ samples required for this assessment was very high, in excess of 30 000. Many more samples would be required to further lower the uncertainties.