Spatial statistical techniques for aggregating point objects extracted from high spatial resolution imagery

Trisalyn Nelson, K. O. Niemann, M. Wulder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Using an IKONOS 1-m panchromatic image covering a range of forest ages, points representing individual trees were extracted via local maximum filtering. Nearest neighbour statistics were applied to the local maximum points and metrics representing forest structure developed. Point attributes, based on forest structure metrics, were then generated and used to aggregate the points into polygons. The resultant forest structure polygons show a meaningful association with nine age classes used by the British Columbia Ministry of Forest for forest inventory.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Pages1663-1665
Number of pages3
Volume4
StatePublished - 2001
Externally publishedYes
Event2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia
Duration: Jul 9 2001Jul 13 2001

Other

Other2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
CountryAustralia
CitySydney, NSW
Period7/9/017/13/01

ASJC Scopus subject areas

  • Software
  • Geology

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    Nelson, T., Niemann, K. O., & Wulder, M. (2001). Spatial statistical techniques for aggregating point objects extracted from high spatial resolution imagery. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 4, pp. 1663-1665)