Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia

@inproceedings{Lucas2006IntegrationOR,
  title={Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia},
  author={Richard M. Lucas and Natasha Cronin and Mahta Moghaddam and Alex Khueh Hock. Lee and John Armston and Peter Bunting and Christian Witte},
  year={2006}
}
In Queensland, Australia, forest areas are discriminated from non-forest by applying a threshold ( ̈12%) to Landsat-derived Foliage Projected Cover (FPC) layers (equating to ̈20% canopy cover), which are produced routinely for the State. However, separation of woody regrowth following agricultural clearing cannot be undertaken with confidence, and is therefore not mapped routinely by State Agencies. Using fully polarimetric C-, Land P-band NASA AIRSAR and Landsat FPC data for forests and… CONTINUE READING
BETA

Citations

Publications citing this paper.
SHOWING 1-10 OF 42 CITATIONS

Quantitative Typical Land Cover Remote Sensing and its Application in Earthquake Evaluation

  • IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 53 REFERENCES

Microwave scattering from mixed-species forests, Queensland, Australia

  • IEEE Transactions on Geoscience and Remote Sensing
  • 2004
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

A regression model approach for mapping woody foliage projective cover using landsat imagery in Queensland, Australia

  • IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium
  • 2004
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

The Statewide Landcover and Trees Study (SLATS), Queensland Department of Natural Resources and Mines

SLATS.
  • URL: http://www. nrm.qld.gov.au/slats/pdf/slats9901.pdf
  • 2003
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

National greenhouse gas inventory 2000—Land use change and forestry: 2003

AGO.
  • http://www.greenhouse.gov.au/inventory/2003/index.html
  • 2005
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

An empirical BRDF correction for Landsat TM and ETM+ imagery

T. J. Danaher
  • Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Conference, Brisbane, Australia, September 2002.
  • 2002
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Similar Papers

Loading similar papers…