Characterising upland swamps using object-based classification methods and hyper-spatial resolution imagery derived from an unmanned aerial vehicle

A. M. Lechner, A. Fletcher, K. Johansen, P. Erskine

Research output: Contribution to journalConference articleResearchpeer-review

52 Citations (Scopus)

Abstract

Subsidence, resulting from underground coal mining can alter the structure of overlying rock formations changing hydrological conditions and potentially effecting ecological communities found on the surface. Of particular concern are impacts to endangered and/or protected swamp communities and swamp species sensitive to changes in hydrologic conditions. This paper describes a monitoring approach that uses UAVs with modified digital cameras and object-based image analysis methods to characterise swamp landcover on the Newnes plateau in the Blue Mountains near Sydney, Australia. The characterisation of swamp spatial distribution is key to identifying long term changes in swamp condition. In this paper we describe i) the characteristics of the UAV and the sensor, ii) the pre-processing of the remote sensing data with sub-decimeter pixel size to derive visible and near infrared multispectral imagery and a digital surface model (DSM), and iii) the application of object-based image analysis in eCognition using the multi-spectral data and DSM to map swamp extent. Finally, we conclude with a discussion of the potential application of remote sensing data derived from UAVs to conduct environmental monitoring.

Original languageEnglish
Pages (from-to)101-106
Number of pages6
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume1
DOIs
Publication statusPublished - 16 Jul 2012
Externally publishedYes
EventThe Congress of the International Society for Photogrammetry and Remote Sensing 2012 - Melbourne, Australia
Duration: 25 Aug 20121 Sept 2012
Conference number: 22nd
https://www.isprs.org/documents/archive/Volume-A/2012-Melbourne/

Keywords

  • DSM
  • high spatial resolution
  • mining
  • monitoring
  • OBIA
  • swamps
  • UAV
  • wetlands

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