OBJECT-BASED ANALYSIS OF IKONOS-2 IMAGERY FOR EXTRACTION OF FOREST INVENTORY PARAMETERS

A method is presented for deriving forest inventory information from Ikonos-2 imagery based on the analysis of image objects rather than more conventional pixel-based image analysis approaches. For a 77 km 2 study area in southwestern Alberta, Canada, image objects representing homogeneous landscape components were delineated from Ikonos-2 data using an image segmentation routine. Decision tree statistical analyses were used to identify correlations between metrics derived from spectral and spatial properties of the image objects and field-derived samples of individual forest inventory parameters. The strongest relationships were observed for classes of discrete land-cover types, species composition, and crown closure.

• Publication year

  2006

• Venue

  Photogrammetric Engineering and Remote Sensing

• Publication date

  2006-04-01

• Fields of study

  Geography, Environmental Science

• Identifiers
  DOI 10.14358/PERS.72.4.383
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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