• DocumentCode
    3086330
  • Title

    Time-series analysis of rainforest clearing in Sabah, Borneo using Landsat imagery

  • Author

    Johansen, Kylie ; Johansen, Kasper

  • Author_Institution
    Biophys. Remote Sensing Group, Univ. of Queensland, St. Lucia, QLD, Australia
  • fYear
    2011
  • fDate
    12-14 July 2011
  • Firstpage
    277
  • Lastpage
    280
  • Abstract
    Tropical forests are being cleared at alarming rates. The release of the Landsat image archive represents an opportunity to assess rainforest clearing over time through time-series analysis. The objective was to map the extent of rainforest clearing and assess land cover trends at the object level within a selected study area in Sabah, Borneo using Landsat images from 1991, 2000, 2004 and 2008. The images were delineated based on image interpretation cues and validated against existing high spatial resolution images on Google Earth. Overall mapping accuracies were >;94%. Time-series trends for each delineated object were classified into trend classes to quantify the land cover history per object. The results showed that approximately 31% or 5,500 km2 of land cover within the study area changed between 1991 and 2008. This research presents an effective method for time-series analysis that can be used to regularly monitor forest clearing on Borneo.
  • Keywords
    forestry; geophysical image processing; image classification; image resolution; object detection; terrain mapping; time series; vegetation mapping; AD 1991 to 2008; Borneo; Google Earth; Landsat image; Sabah; high spatial resolution image; image interpretation; land cover assessment; rainforest clearing assessment method; time-series analysis; tropical forest; Accuracy; Earth; Google; Remote sensing; Roads; Satellites; Spatial resolution; Borneo; Google Earth; Landsat; Rainforest clearing; time-series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the
  • Conference_Location
    Trento
  • Print_ISBN
    978-1-4577-1202-9
  • Type

    conf

  • DOI
    10.1109/Multi-Temp.2011.6005102
  • Filename
    6005102