329
Views
3
CrossRef citations to date
0
Altmetric
Research Papers

Seasonal differences assist in mapping granite outcrops using Landsat TM imagery across the Southwest Australian Floristic Region

, , &

References

  • AllenA., & BeetsonB. (1999) The Land Monitor Project; A multi-agency project of the Western Australian Salinity Action. WALIS Forum, Perth, pp. 74–77.
  • BairdA.K. (1984) Rapid Discrimination of granitic rock compositions by low-resolution near-infrared reflectance. Journal of Geophysical Research, vol. 89, no. B4, pp. 2491–2496.
  • BaldridgeA.M., HookS.J., GroveC.I., & RiveraG. (2009) The ASTER spectral library version 2.0. Remote Sensing of Environment, vol. 113, no. 4, pp. 711–715.
  • BishopY.M., FienbergS.E., & HollandP.W. (1975) Discrete Multivariate Analysis: Theory and Practice, MIT Press, Cambridge, MA.
  • BlattH., & TracyR. (1997). 2nd ed.Petrology, Second Edition: Igneous, Sedimentary, and Metamorphic, W.H. Freeman, New York.
  • BradleyA.P. (1997) The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, vol. 30, no. 7, pp. 1145–1159.
  • ByrneM. (2008) Evidence for multiple refugia at different time scales during Pleistocene climatic oscillations in southern Australia inferred from phylogeography. Quaternary Science Reviews, vol. 27, no. 27–28, pp. 2576–2585.
  • ByrneM., & HopperS.D. (2008) Granite outcrops as ancient islands in old landscapes: evidence from the phylogeography and population genetics of Eucalyptus caesia (Myrtaceae) in Western Australia. Biological Journal of the Linnean Society, vol. 93, no. 1, pp. 177–188.
  • CampbellN.A., HopperS.D., & CaccettaP.A. (2000) Mapping granite outcrops in the Western Australian wheatbelt using Landsat TM data. Journal of the Royal Society of Western Australia, vol. 83, pp. 109–113.
  • CingolaniA.M., RenisonD., ZakM.R., & CabidoM.R. (2004) Mapping vegetation in a heterogeneous mountain rangeland using landsat data: an alternative method to define and classify land-cover units. Remote Sensing of Environment, vol. 92, no. 1, pp. 84–97.
  • ClarkR.N. (1999) Spectroscopy of rocks and minerals, and principles of spectroscopy, manual of remote sensing. Remote Sensing for the Earth Sciences, vol. 3, pp. 3–58.
  • CowlingR.M., RundelP.W., LamontB.B., Kalin ArroyoM., & ArianoutsouM. (1996) Plant diversity in mediterranean-climate regions. Trends in Ecology & Evolution, vol. 11, no. 9, pp. 362–366.
  • CracknellM.J., & ReadingA.M. (2014) Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information. Computers & Geosciences, vol. 63, pp. 22–33.
  • FawcettT. (2006) An introduction to ROC analysis. Pattern Recognition Letters, vol. 27, no. 8, pp. 861–874.
  • FriedlM.A., & BrodleyC.E. (1997) Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment, vol. 61, no. 3, pp. 399–409.
  • HoffmannH., & BoehnerJ. (1999) Spatial pattern recognition by means of representativeness measures. Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International, vol. 1, pp. 110–112.
  • HopperS.D., BrownA.P., & MarchantN.G. (1997) Plants of Western Australian granite outcrops. Journal of the Royal Society of Western Australia, vol. 80, pp. 141–158.
  • HopperS.D., & GioiaP. (2004) The Southwest Australian Floristic Region: evolution and conservation of a global hot spot of biodiversity. Annual Review of Ecology, Evolution, and Systematics, vol. 35, no. 1, pp. 623–650.
  • KeppelG., Van NielK.P., Wardell-JohnsonG.W., YatesC.J., ByrneM., MucinaL., SchutA.G.T., HopperS.D., & FranklinS.E. (2012) Refugia: identifying and understanding safe havens for biodiversity under climate change. Global Ecology and Biogeography, vol. 21, no. 4, pp. 393–404.
  • KeppelG., & Wardell-JohnsonG.W. (2012) Refugia: keys to climate change management. Global Change Biology, vol. 18, no. 8, pp. 2389–2391.
  • KerekesJ. (2008) Receiver operating characteristic curve confidence intervals and regions. IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 2, pp. 251–255.
  • KlausmeyerK.R., ShawM.R., & MoenJ. (2009) Climate change, habitat loss, protected areas and the climate adaptation potential of species in mediterranean ecosystems worldwide. PLoS ONE, vol. 4, no. 7, pp. e6392.
  • MalatestaL., AttorreF., AltobelliA., AdeebA., De SanctisM., TalebN.M., ScholteP.T., & VitaleM. (2013) Vegetation mapping from high-resolution satellite images in the heterogeneous arid environments of Socotra Island (Yemen). Journal of Applied Remote Sensing, vol. 7, no. 1, pp. 073527.
  • MassironiM., BertoldiL., CalafaP., VisonàD., BistacchiA., GiardinoC., & SchiavoA. (2008) Interpretation and processing of ASTER data for geological mapping and granitoids detection in the Saghro massif (eastern Anti-Atlas, Morocco). Geosphere, vol. 4, no. 4, pp. 736–759.
  • MonserudR.A., & LeemansR. (1992) Comparing global vegetation maps with the Kappa statistic. Ecological Modelling, vol. 62, no. 4, pp. 275–293.
  • MulderV.L., de BruinS., SchaepmanM.E., & MayrT.R. (2011) The use of remote sensing in soil and terrain mapping – A review. Geoderma, vol. 162, no. 1–2, pp. 1–19.
  • MyersJ.S. (1997) Geology of granite. Journal of the Royal Society of Western Australia, vol. 80, pp. 87–100.
  • MyersN., MittermeierR.A., MittermeierC.G., da FonsecaG.A.B., & KentJ. (2000) Biodiversity hotspots for conservation priorities. Nature, vol. 403, no. 6772, pp. 853–858.
  • NinomiyaY., FuB., & CudahyT.J. (2006) Corrigendum to “Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared “radiance-at-sensor” data” [Remote Sensing of Environment 99(1–2):127–139 (2005), ASTER special issue]. Remote Sensing of Environment, vol. 101, no. 4, pp. 567.
  • PorembskiS., & BarthlottW. (2000) Granitic and gneissic outcrops (inselbergs) as centers of diversity for desiccation-tolerant vascular plants. Plant Ecology, vol. 151, no. 1, pp. 19–28.
  • RollinE.M., MiltonE.J., & RocheP. (1994) The influence of weathering and lichen cover on the reflectance spectra of granitic rocks. Remote Sensing of Environment, vol. 50, no. 2, pp. 194–199.
  • RowanL.C., & MarsJ.C. (2003) Lithologic mapping in the Mountain Pass, California area using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Remote Sensing of Environment, vol. 84, no. 3, pp. 350–366.
  • RowanL.C., MarsJ.C., & SimpsonC.J. (2005) Lithologic mapping of the Mordor, NT, Australia ultramafic complex by using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). Remote Sensing of Environment, vol. 99, no. 1–2, pp. 105–126.
  • SanderJ., & Wardell-JohnsonG. (2012) Defining and characterizing high-rainfall Mediterranean climates. Plant Biosystems – An International Journal Dealing with all Aspects of Plant Biology, vol. 146, no. 2, pp. 451–460.
  • SatterwhiteM.B., HenleyP.J., & CarneyJ.M. (1985) Effects of lichens on the reflectance spectra of granitic rock surfaces. Remote Sensing of Environment, vol. 18, no. 2, pp. 105–112.
  • SchoknechtN., TilleP., & PurdieB. (2004) Soil-landscape mapping in south-western Australia. An overview of methodology and outputs, Resource Management Technical Report280, Department of Agriculture, South Perth, State of Western Australia.
  • SchutA.G.T., Wardell-JohnsonG.W., YatesC.J., KeppelG., BaranI., FranklinS.E., HopperS.D., Van NielK.P., MucinaL., ByrneM., & RicottaC. (2014) Rapid characterisation of vegetation structure to predict refugia and climate change impacts across a global biodiversity hotspot. PLoS ONE, vol. 9, no. 1, pp. e82778.
  • SchutA.G.T., Wardell-JohnsonG.W., YatesC.J., KeppelG., EarlsC., & FranklinS.E. (2010) Characterizing ecosystem habitats on granite outcrops, The 15th Australasian Remote Sensing and Photogrammetry Conference.
  • SongC., WoodcockC.E., SetoK.C., LenneyM.P., & MacomberS.A. (2001) Classification and change detection using Landsat TM data: when and how to correct atmospheric effects?Remote Sensing of Environment, vol. 75, no. 2, pp. 230–244.
  • SonnenscheinR., KuemmerleT., UdelhovenT., StellmesM., & HostertP. (2011) Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate. Remote Sensing of Environment, vol. 115, no. 6, pp. 1408–1420.
  • TwidaleC.R. (1997) The great age of some Australian landforms: examples of, and possible explanations for, landscape longevity. Geological Society, London, Special Publications, vol. 120, no. 1, pp. 13–23.
  • U.S. Geological Survey (2000). National Land Archive Production System (NLAPS) Systematic Format Description Document – U.S. Geological Survey Format Specifications for Geometrically Corrected Landsat L1 Digital Data Products.
  • van RuitenbeekF.J.A., DebbaP., van der MeerF.D., CudahyT., van der MeijdeM., & HaleM. (2006) Mapping white micas and their absorption wavelengths using hyperspectral band ratios. Remote Sensing of Environment, vol. 102, no. 3–4, pp. 211–222.
  • WalpoleR.E., & MyersR.H. (1993). 5th ed.Probability and Statistics for Engineers and Scientists, MacMillan Publishing Company, Sydney.
  • Wardell-JohnsonG., & RobertsJ.D. (1993) Biogeographic barriers in a subdued landscape: the distribution of the Geocrinia rosea (Anura: Myobatrachidae) complex in south-western Australia. Journal of Biogeography, vol. 20, no. 1, pp. 95–108.
  • WattsD.R., HarrisN.B., & GroupT.N.G.S.W. (2005) Mapping granite and gneiss in domes along the North Himalayan antiform with ASTER SWIR band ratios. Geological Society of America Bulletin, vol. 117, no. 7, pp. 879–886.
  • WithersP.C. (2000) Overview of granite outcrops in Western Australia. Journal of the Royal Society of Western Australia, vol. 83, pp. 103–108.
  • YatesC.J., ElithJ., LatimerA.M., Le MaitreD., MidgleyG.F., SchurrF.M., & WestA.G. (2010) Projecting climate change impacts on species distributions in megadiverse South African Cape and Southwest Australian Floristic Regions: opportunities and challenges. Austral Ecology, vol. 35, no. 4, pp. 374–391.
  • ZhangL., LiX., YuanQ., & LiuY. (2014) Object-based approach to national land cover mapping using HJ satellite imagery. Journal of Applied Remote Sensing, vol. 8, no. 1, pp. 083686.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.