Combined estimation of forest parameters from high- and medium resolution satellite imagery and forest inventory data

Abstract

Pixel-wise estimation of forest parameters from satellite imagery and national forest inventory plots has been demonstrated to provide useful information on the landscape level for forestry- and environmental authorities in the Nordic countries. However, The accuracy at stand level has not been sufficient for operational forest management. In this study it is demonstrated how the estimation accuracy at stand level can be improved by supplementing spectral signatures from medium resolution satellite imagery such as SPOT or Landsat with textural features derived from high resolution imagery (IKONOS) and /or forest inventory records derived by photo interpretation. The method is based on an artificial neural network that is designed to automatically adapt to the specific combination of information sources available in each case.

Keywords

Forest parameter estimation; SPOT; Landsat; IKONOS; photo interpretation data; neural networks

Published in

Title: FORESTSAT 2002: Operational Tools in Forestry Using Remote Sensing Techniques : Conference Papers : August 5th-9th, 2002
Publisher: Forestry Commission

Conference

ForestSat 2002, Operational Tools in Forestry Using Remote Sensing Techniques, Heriot Watt University, Edinburgh, August 5th-9th of August 2002

SLU Authors

• Hagner, Olle

  • Department of Forest Resource Management and Geomatics, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Earth Observation
Forest Science

Permanent link to this page (URI)

https://res.slu.se/id/publ/139273