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Laurie CHISHOLM

 

Position:   Senior Lecturer
Room:   41.G25
Phone No:   +61 2 4221 3765
Email:   lauriec@uow.edu.au
Lab/other loc:    
Lab Phone:    

 

 

Research Interests

Biogeography:

•ecology, distribution and conservation of species and ecosystems using spatial science methods (remote sensing, GIS, modelling)
• Modelling forest health; monitoring physiological activity; analysing effects of various stressors (fungal, nutrient, water) on spectral reflectance
• Modelling invasive weeds related to ecological disturbances
• Integrated analysis of land use and land cover change: impacts on biodiversity and ecological integrity
• Vegetation species discrimination and biodiversity assessment using hyperspectral remote sensing and LIDAR
• Modelling vegetation mosaics; extrapolating from patches to landscape to region
• Temporal and spatial changes in ecosystem function, dynamics and productivity (NPP)

Spatial science

• Spectral analyses to de-convolute remotely-sensed reflectance patterns
• Development of spatial pattern analysis methods
• Advancement of vegetation species discrimination techniques
• Hyperspectral airborne and satellite-based remote sensing
• GIS and modelling
• Integration of LIDAR and remote sensing
• Ecosystem-based spectral libraries to develop new stress indices for estuarine plants

Additional Information

 

Representative Publications

Stone, C., Chisholm, L., McDonald, S. (2005) Effects of leaf age and psyllid damage on the spectral reflectance properties of Eucalyptus saligna foliage, Australian Journal of Botany, 53(1), 45-54

Coops, N.C., Stone, C., Culvenor, D.S., Chisholm, L (2004) Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices, Journal of Environmental Quality, 33(3):956-964.

Stone, C., Chisholm, L.A., McDonald, S. (2003) Spectral reflectance characteristics of Pinus radiata needles infected with Dothistroma blight, Canadian Journal of Botany, 81(6): 560-569

Various authors, Expert Panel Member, Preliminary Investigations into Observed River Red Gum Decline along the River Murray below Euston¸ Technical Report 03/03, Final Report, Murray-Darling Basin Commission.

Coops, N.C., Stone, C., Culvenor, D.S., Chisholm, L.A., Merton, R. (2002) Chlorophyll content in eucalypt vegetation at the leaf and canopy level as derived from high spectral resolution data, Tree Physiology, 23, 000-000.

Stone, C., Chisholm, L.A. (2002) Spectral reflectance characteristics of Pinus radiata needles infected with Dothistroma blight, Canadian Journal of Botany, submitted.

Stone, C., Chisholm, L., Coops, N. (2001) Spectral reflectance characteristics of eucalypt foliage damaged by insects, Australian Journal of Botany, 49:687-698.

Searchable Publication List

 

Conference Proceedings

Demuro, M., Chisholm, L.A. (2003) Assessment of EO-1 Hyperion for characterising mangrove communities, Proceedings of the 2003 NASA JPL AVIRIS Airborne Earth Science and Applications Workshop, JPL Publication 03-1, February 25 – 28, Pasadena, CA, USA.

Chisholm, L.A. (2002) Spectral response of E. camaldulensis to moisture stress recovery, Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Association Conference, Brisbane, Queensland, Australia, September 2-6, pp. 524-531.

Chisholm, L.A. (2002) Spectral indicators of river red gum (Eucalyptus camaldulensis) moisture stress, Proceedings of the Association of American Geographers 2002 Annual Meeting, Los Angeles, CA, March 17-23.

Stone, C., Coops, N., Culvenor, D., Chisholm, L., Old, K. (2001) Assessing eucalypt canopy condition using hyperspectral remote sensing imagery, 2001 Ecological Society of Australia Annual Meeting, University of Wollongong, 26-28 September.

Coops, N.C., Stone, C., Merton, R., Chisholm, L. (2001) Assessing eucalypt foliar health with field-based spectra and high spatial resolution hyperspectral imagery, Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, University of New South Wales, Sydney, Australia, 9-13 July.

Paterson, M., Lucas, R.M., Chisholm, L. (2001) Differentiation of selected Australian woodland species using CASI data, Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, University of New South Wales, Sydney, Australia, 9-13 July.

 

Current Students

Michael Ashcroft, PhD, "The spatial variation of environmental factors on the Illawarra Escarpment and their influence on vegetation patterns". Includes the development of a Generalised Additive Model (GAM) to predict the relationship between environmental factors and the distribution of each species; analysis of hyperspectral imagery to identify individual tree species.

Agnes Burra, MSc, “Evaluation of GIS as a tool in identifying geological and geotechnical hazards in an underground coal mining environment”. Includes the creation of a geotechnical and geological GIS database for the purpose of evaluating its potential for use as a hazard identification tool with particular emphasis on roof strata conditions in an underground coal mine.

Susan Fyfe, “Hyperspectral remote sensing of seagrass health”. Characterisation of spectral variability of seagrass species, controlled laboratory experiments to examine seagrass health (spectral reflectance, leaf pigment content); temporal changes in seagrass spectral signatures.

Luke Collins, Env Sci, “Bushfire hazard reduction activities and biodiversity in the Shoalhaven”

Jessica Herder, Env Sci, “Mapping, assessment & management of Bitou Bush in the Culburra area”

Kelley Parker, Env Sci, “‘Greenweb’ for Shellharbour LGA”

 

Suggested Topics for Future Students

Research topics fall under the broad areas of biogeography, ecology, and coastal/marine processes, with emphasis on the application of appropriate spatial technologies to investigate long and short-term impacts of disturbances. Student projects can involve a variety of methods ranging from field experiments, spatial analysis (pattern analysis, spectral analysis), and/or modelling to address questions of fundamental research.

Currently there are extensive, state-of-the–art, spatial datasets covering the Wollongong local area that include: Hymap hyperspectral imagery (3m), LIDAR, high resolution digital orthophotographs (.15m), and extensive GIS coverages. Hyperion, ASTER and MODIS imagery are also available. These datasets are capable of supporting a range of research topics, suitable from honours to PhD levels.

Excellent facilities are provided by the Spatial Analysis Laboratories (SAL). In addition, a successful 2005 LIEF grant with the University of New England and the University of Southern Queensland provides access to chlorophyll fluorometers (PAM2100 and Water PAM) to investigate photosynthetic characteristics of plants. Two ASD Fieldspec spectroradiometers are available to acquire in situ hyperspectral data.

• Discrimination, mapping, modeling of vegetation communities, and/or species associated with ecological disturbance.
• Discrimination, mapping, and modelling of wetland invasive weeds specifically
• Assessment of vegetation stress or tolerance using multiple bio-indicators.
• Integration of LIDAR and hyperspectral imagery for wetland classification and delineation OR analysis of wetland vegetation types OR threatened species mapping and prediction.
• Examination of multi-scale properties of ecological communities using remote sensing data and model simulation to assess fragmentation and of patch dynamics.
• Distribution of invasive plants in relationship to urban, residential and disturbed areas
• Estuarine community ecology: species discrimination and interactions in estuarine habitats.
• Coastal zone ecosystem analysis.
• Habitat fragmentation related to biodiversity loss.
• Cross-sensor comparisons / calibrations using vegetation or coastal process mapping results.
• Land use/land cover change dynamics.
• Extrapolating existing geological mapping onto the Woronora plateau to facilitate seamless coverage
• Atmospheric chemistry, remote sensing and leaf area index combo - in conjunction with the Atmospheric Chemistry Research Group. Could include topics such as: retrieval of cloud and aerosol properties from satellite data (eg MODIS); leaf area index (LAI) and remote sensing to evaluate fire chronosequences; evaluation of the MODIS LAI product; using fine resolution plant species data for biogenic emission simulations.

 

 

Abbreviated CV

2002 PhD (Geog) UNSW
1992 MA (Geog) University of Oklahoma, USA
1983 BSc (Geol) University of Oklahoma, USA

2000 – present Senior Lecturer in Remote Sensing, School of Earth and Environmental Sciences, University of Wollongong
1991 – 2000 Lecturer in Physical Geography/GIS, Charles Sturt University
1990 – 1991 Scientific Research Officer, Centre for Image Analysis, Charles Sturt University
1987 – 1990 Instructional Designer, Division of Open Learning, Charles Sturt University
1984 – 1987 Coal Geologist, Oklahoma Geological Survey, Norman, Oklahoma, USA

 

 

 
 
   

Last reviewed: 30 July, 2007 

 
   
 
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