Estimation of Forest Stand Characteristics Using Spectral Histograms Derived from an Ikonos Satellite Image

• DOI: 10.14358/pers.74.11.1335
• Publication Date: 2013-11-27T02:49:21Z
• Authors: Jussi Peuhkurinen; Matti Maltamo; Lauri Vesa; Petteri Packalén
• Keywords: Panchromatic film; Basal area; Multispectral pattern recognition

The aim of this paper was to examine the potential Ikonos satellite images for estimating boreal forest stand characteristics using frequency distributions radiometric values. spectral features selected use in estimation were medians, standard deviations, and parameters two-parametric Weibull distribution derived from standwise histograms image. Ancillary map information, such as land-use peatland classes, also included. method non-parametric k-most similar neighbors (K-MSN) method. most accurate results achieved that multispectral images. lowest RMSES mean total stem volume, basal area, height 52.2 m 3 /ha (31.3 percent), 5.6 2 (25.3 3.1 (20.6 respectively. When only panchromatic image used analysis, RMSEs volume area about percentage points higher. No differences estimates observed between efficient predictor variables medians scale distribution. classified information did not improve results. findings suggest can be estimate giving an accuracy corresponds with aerial photographs.