Spatial variability in classification accuracy of agricultural crops in the Dutch national land-cover database
Authors: P. A. J. van Oort1; A. K. Bregt1; S. de Bruin1; A. J. W. de Wit1; A. Stein2
Source: International Journal of Geographical Information Science, Volume 18, Number 6, September 2004 , pp. 611-626(16)
Publisher: Taylor and Francis Ltd
- Free Content
- New Content
- Subscribed Content
- Free Trial Content
Abstract:
Variability in per cell classification accuracy is predominantly modelled with land-cover class as the explanatory variable, i.e. with users' accuracies from the error matrix. Logistic regression models were developed to include other explanatory variables: heterogeneity in the 3×3 window around a cell, the size of the patch and the complexity of the landscape in which a cell is located. It was found that per cell, the probability of correct classification was significantly (
=0.05) higher for cells with a less heterogeneous neighbourhood, for cells part of larger patches and for cells in regions with a less heterogeneous landscape. To validate the models, a leave-one-out procedure was applied in which the absolute difference between the actual and the model-estimated number of cells correctly classified was summarized over 55 regions in the Netherlands. The sum of differences reduced from 60.9 to 48.1 after adding the variables 'patch size' and 'landscape dominance' to the land-cover class model. Spatial variability thus modelled therefore led to a substantial improvement in the estimation of the per cell classification accuracy.
Document Type: Research article
DOI: 10.1080/13658810410001701969
Affiliations: 1: Wageningen University and Research Centre Centre for Geo-Information PO Box 47 NL-6700 AA Wageningen the Netherlands, Email: pepijn.vanoort@wur.nl 2: Wageningen University and Research Centre Mathematical and Statistical Methods Group Wageningen the Netherlands
- Free Content
- New Content
- Subscribed Content
- Free Trial Content
Click here for Page Help