Long term land use and land cover change and its impact on cool temperate rainforest in the Strzelecki Ranges, Australia

Paper

Zhang, Z., Peterson, J., Zhu, X. and Wright, W.. 2008. "Long term land use and land cover change and its impact on cool temperate rainforest in the Strzelecki Ranges, Australia." Chen, Jun (ed.) 21st Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS 2008). Beijing, China 03 - 11 Jul 2008 Beijing, China.
Paper/Presentation Title

Long term land use and land cover change and its impact on cool temperate rainforest in the Strzelecki Ranges, Australia

Presentation TypePaper
AuthorsZhang, Z. (Author), Peterson, J. (Author), Zhu, X. (Author) and Wright, W. (Author)
EditorsChen, Jun
Journal or Proceedings TitleInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Journal CitationXXXVII-B7, pp. 899-904
Number of Pages6
Year2008
Place of PublicationBeijing, China
ISSN1682-1750
2194-9034
Web Address (URL) of Paperhttps://www.isprs.org/proceedings/XXXVII/congress/7_pdf/5_WG-VII-5/27.pdf
Web Address (URL) of Conference Proceedingshttps://www.isprs.org/proceedings/XXXVII/congress/tc7.aspx
Conference/Event21st Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS 2008)
Event Details
21st Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS 2008)
Event Date
03 to end of 11 Jul 2008
Event Location
Beijing, China
Abstract

The Australian landscape, as in many countries, has undergone a significant change. The extent of native forests in Australia has steadily decreased over time since European settlement. The establishment of towns and cities, mining and a range of other factors have all reduced forest cover, however it is land clearing for agriculture that has been the most significant process by far. Along with the southern uplands of the Otways, the Central Highlands, and East Gippsland, the Strzelecki Ranges are recognised as one of the four major Victorian areas of cool temperate rainforest. Cool temperate rainforests, although now very restricted in their distribution, are of major historical and ecological significance. They are the remanets of the oldest extant vegetation formation in Australia and are categorised as an endangered Ecological Vegetation Class within Victoria. Areas bordering cool temperate rainforest in the Eastern Strzeleckis are a mosaic of different land use histories formatted by both natural and human disturbances. Different land use patterns have different influences on imbedded remnant patches of cool temperate rainforest mainly through edge effects. This study aims to model the long term land use and land cover changes (from 1939 to 2004) and their impacts on cool temperate rainforest in the Strzelecki Ranges by integrating remote sensing and geographical information system (GIS). The reconstructed history of land use and land cover is mainly based on historical aerial photography with the support of Vicmap Elevation, Ecological Vegetation Classes (EVCs) map. The general trend of land use and land cover change, including rainforest in study areas was analysed.

Keywordsland use, land cover, photogrammetry, orthoimage, change detection, vegetation, rainforest, Strzelecki Ranges, cool temperate rainforest
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
410404. Environmental management
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsDepartment of Surveying and Land Information
Monash University
Permalink -

https://research.usq.edu.au/item/9yy65/long-term-land-use-and-land-cover-change-and-its-impact-on-cool-temperate-rainforest-in-the-strzelecki-ranges-australia

Log in to edit

Download files

Published Version
Zhang_Peterson_Zhu_Wright_2008_ISPRS_PV.pdf
License: CC BY 3.0
File access level: Anyone

  • 2386
    total views
  • 464
    total downloads
  • 1
    views this month
  • 1
    downloads this month

Export as

Related outputs

Modelling of shoreline changes of coral reef islands using satellite observations and cloud computing
Akram, Hassan, Zhang, Zhenyu and Liu, Xiaoye. 2023. "Modelling of shoreline changes of coral reef islands using satellite observations and cloud computing." 2023 Asian Conference on Remote Sensing (ACRS2023). Taipei, Taiwan 30 Oct - 03 Nov 2023 Taiwan.
Machine learning for estimation of tree inventory parameters using terrestrial laser scanning, photogrammetry and UAV data
Kuznetsov, Igor, Zhang, Zhenyu, Liu, Xiaoye and Subedi, Nab Raj. 2023. "Machine learning for estimation of tree inventory parameters using terrestrial laser scanning, photogrammetry and UAV data ." 2023 Asian Conference on Remote Sensing (ACRS2023). Taipei, Taiwan 30 Oct - 03 Nov 2023 Taiwan.
Bathymetric modelling for long-term monitoring of water dynamics of Ramsar-listed lakes using inundation frequency and photon-counting LiDAR data
Zhang, Zhenyu and Liu, Xiaoye. 2023. "Bathymetric modelling for long-term monitoring of water dynamics of Ramsar-listed lakes using inundation frequency and photon-counting LiDAR data." Ecohydrology and Hydrobiology. https://doi.org/10.1016/j.ecohyd.2023.10.003
Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data
Zhang, Zhenyu, Liu, Xiaoye and Wright, Wendy. 2022. "Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data." Ecological Informatics. 71, pp. 1-15. https://doi.org/10.1016/j.ecoinf.2022.101789
Teaching terrestrial laser scanning for spatial data collection and applications: experiential learning as a tool to enhance the development of higher level graduate capabilities
Liu, Xiaoye, Zhang, Zhenyu and Basson, Mariata. 2019. "Teaching terrestrial laser scanning for spatial data collection and applications: experiential learning as a tool to enhance the development of higher level graduate capabilities." Goh, Steven (ed.) 30th Annual Conference of the Australasian Association for Engineering Education (AAEE2019). Brisbane, Australia 08 - 11 Dec 2019 Brisbane, Australia.
Terrestrial laser scanning for building information modelling: teaching and practice
Zhang, Zhenyu and Liu, Xiaoye. 2019. "Terrestrial laser scanning for building information modelling: teaching and practice." 2019 International Symposium on Remote Sensing. Taipei, Taiwan 17 - 19 Apr 2019 Taoyuan City, Taiwan.
Statistical analysis of LiDAR-derived structure and intensity variables for tree species identification
Zhang, Zhenyu, Liu, Xiaoye and Wright, Wendy. 2013. "Statistical analysis of LiDAR-derived structure and intensity variables for tree species identification." Denys, P., Strack, M., Moore, A. B. and Whingham, P. (ed.) 2013 GIS and Remote Sensing Research Conference (SIRC NZ 2013) . Otago, New Zealand 29 - 30 Aug 2013 Wellington, New Zealand.
Fuzzy analysis of airborne LiDAR data for rainforest boundary determination
Zhang, Zhenyu, Liu, Xiaoye, McDougall, Kevin and Wright, Wendy. 2017. "Fuzzy analysis of airborne LiDAR data for rainforest boundary determination." 6th International Conference on Telecommunications and Remote Sensing (ICTRS'17). Delft, Netherlands 06 - 07 Nov 2017 New york, United States. https://doi.org/10.1145/3152808.3152816
Global lessons from successful rhinoceros conservation in Nepal
Aryal, Achyut, Acharya, Krishna Prasad, Shrestha, Uttam Babu, Dhakal, Maheshwar, Raubenhiemer, David and Wright, Wendy. 2017. "Global lessons from successful rhinoceros conservation in Nepal." Conservation Biology. 31 (6), pp. 1494-1497. https://doi.org/10.1111/cobi.12894
Feature assessment in object-based forest classification using airborne LiDAR data and high spatial resolution satellite imagery
Zhang, Zhenyu, Liu, Xiaoye and Wright, Wendy. 2014. "Feature assessment in object-based forest classification using airborne LiDAR data and high spatial resolution satellite imagery." Gamba, Paolo, Xian, George, Wang, Guangxing, Zhu, Jianjun and Weng, Qihao (ed.) 3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2014): Global Change and Sustainable Development: A Remote Sensing Perspective. Changsha, China 11 - 14 Jun 2014 Piscataway, NJ. United States. https://doi.org/10.1109/EORSA.2014.6927920
WorldView-2 satellite imagery and airborne LiDAR data for object-based forest species classification in a cool temperate rainforest environment
Zhang, Zhenyu and Liu, Xiaoye. 2013. "WorldView-2 satellite imagery and airborne LiDAR data for object-based forest species classification in a cool temperate rainforest environment." Abdul Rahman, Alias, Boguslawski, Pawel, Gold, Christopher and Nor Said, Mohamad (ed.) Developments in multidimensional spatial data models. Heidelberg, Germany. Springer. pp. 103-122
Support vector machines for tree species identification using LiDAR-derived structure and intensity variables
Zhang, Zhenyu and Liu, Xiaoye. 2013. "Support vector machines for tree species identification using LiDAR-derived structure and intensity variables." Geocarto International. 28 (4), pp. 364-378. https://doi.org/10.1080/10106049.2012.710653
Object-based image analysis for forest species classification using Worldview-2 satellite imagery and airborne LiDAR data
Zhang, Zhenyu, Liu, Xiaoye and Wright, Wendy. 2012. "Object-based image analysis for forest species classification using Worldview-2 satellite imagery and airborne LiDAR data." International Symposium on Remote Sensing (ISRS 2012), 8th International Conference on Space, Aeronautical and Navigational Electronics (ICSANE 2012). Incheon, Korea 10 - 12 Oct 2012
Terrain and canopy surface modelling from LiDAR data for tree species classification
Zhang, Zhenyu, Liu, Xiaoye, Peterson, Jim and Wright, Wendy. 2012. "Terrain and canopy surface modelling from LiDAR data for tree species classification." Ruzicka, Jan and Ruzickova, Katerina (ed.) Symposium GIS Ostrava 2012: Surface Models for Geosciences. Ostrava, Czech Republic 23 - 25 Jan 2012 Ostrava, Czech Republic.
Statistical analysis of airborne LiDAR data for forest classification in the Strzelecki Ranges, Victoria, Australia
Zhang, Z., Liu, X., Peterson, J. and Wright, W.. 2011. "Statistical analysis of airborne LiDAR data for forest classification in the Strzelecki Ranges, Victoria, Australia." Chan, F., Marinova, D. and Anderssen, R. S. (ed.) 19th International Congress on Modelling and Simulation (MODSIM2011). Perth, Australia 12 - 16 Dec 2011 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2011.E3.zhang
Characteristic analysis of a flash flood-affected creek catchment using LiDAR-derived DEM
Liu, X., Zhang, Z. and McDougall, K.. 2011. "Characteristic analysis of a flash flood-affected creek catchment using LiDAR-derived DEM." Chan, F., Marinova, D. and Anderssen, R. S. (ed.) 19th International Congress on Modelling and Simulation (MODSIM2011). Perth, Australia 12 - 16 Dec 2011 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2011.E14.liu
Drainage network extraction using LiDAR-derived DEM in volcanic plains
Liu, Xiaoye and Zhang, Zhenyu. 2011. "Drainage network extraction using LiDAR-derived DEM in volcanic plains." Area. 43 (1), pp. 42-52. https://doi.org/10.1111/j.1475-4762.2010.00955.x
High-resolution DEM generated from LiDAR data for water resource management
Liu, X., Peterson, J. and Zhang, Z.. 2005. "High-resolution DEM generated from LiDAR data for water resource management." Zerger, Andre and Argent, Robert M. (ed.) 16th International Congress on Modelling and Simulation (MODSIM05). Melbourne, Australia 12 - 15 Dec 2005 Australia. Modelling and Simulation Society of Australia and New Zealand .
Ground truth extraction from LiDAR data for image orthorectification
Liu, Xiaoye and Zhang, Zhenyu. 2008. "Ground truth extraction from LiDAR data for image orthorectification." Weng, Qihao, Zhang, Jixian, Liu, Zhengjun and Wang, Jing (ed.) 2008 International Workshop on Earth Observation and Remote Sensing Applications. Beijing, China 30 Jun - 02 Jul 2008 China. https://doi.org/10.1109/EORSA.2008.4620320
LIDAR data reduction for efficient and high quality DEM generation
Liu, Xiaoye and Zhang, Zhenyu. 2008. "LIDAR data reduction for efficient and high quality DEM generation." Chen, Jun (ed.) 21st Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS 2008). Beijing, China 03 - 11 Jul 2008 Beijing, China.
The effect of LiDAR data density on DEM accuracy
Liu, X., Zhang, Z., Peterson, J. and Chandra, S.. 2007. "The effect of LiDAR data density on DEM accuracy." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Australia. Modelling and Simulation Society of Australia and New Zealand .
LiDAR-derived high quality ground control information and DEM for image orthorectification
Liu, Xiaoye, Zhang, Zhenyu, Peterson, Jim and Chandra, Shobhit. 2007. "LiDAR-derived high quality ground control information and DEM for image orthorectification." Geoinformatica: an international journal on advances of computer science for geographic information systems. 11 (1), pp. 37-53. https://doi.org/10.1007/s10707-006-005-9
Cool temperate rainforest and adjacent forests classification using airborne LiDAR data
Zhang, Zhenyu, Liu, Xiaoye, Peterson, Jim and Wright, Wendy. 2011. "Cool temperate rainforest and adjacent forests classification using airborne LiDAR data." Area. 43 (4), pp. 438-448. https://doi.org/10.1111/j.1475-4762.2011.01035.x
Effects of LiDAR data reduction and breaklines on the accuracy of digital elevation model
Liu, Xiaoye and Zhang, Zhenyu. 2011. "Effects of LiDAR data reduction and breaklines on the accuracy of digital elevation model." Survey Review. 43 (323), pp. 614-628. https://doi.org/10.1179/003962611X13117748892317
Improving soil salinity prediction with high resolution DEM derived from LiDAR data
Liu, Xiaoye, Peterson, Jim, Zhang, Zhenyu and Chandra, Shobhit. 2005. "Improving soil salinity prediction with high resolution DEM derived from LiDAR data." 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS 2005). Beijing, China 17 - 19 Oct 2005
Extracting drainage network from high resolution DEM in Toowoomba, Queensland
Liu, Xiaoye and Zhang, Zhenyu. 2010. "Extracting drainage network from high resolution DEM in Toowoomba, Queensland." Queensland Surveying and Spatial Conference 2010 (QSSC 2010). Brisbane, Australia 01 - 03 Sep 2010 Brisbane, Australia.
Evaluation of the performance of DEM interpolation algorithms for LiDAR data
Liu, Xiaoye, Zhang, Zhenyu and Peterson, Jim. 2009. "Evaluation of the performance of DEM interpolation algorithms for LiDAR data." Ostendorf, Bertram, Baldock, Penny, Bruce, David, Burdett, Michael and Corcoran, Paul (ed.) 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity. Adelaide, Australia 28 Sep - 02 Oct 2009 Adelaide, Australia.
Large area DEM generation using airborne LiDAR data and quality control
Liu, Xiaoye, Zhang, Zhenyu, Peterson, Jim and Chandra, Shobhit. 2008. "Large area DEM generation using airborne LiDAR data and quality control." Li, D. R., Foody, Giles M. and Ge, Y. (ed.) 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Shanghai, China 25 - 27 Jun 2008 Liverpool, UK.
Revealing long term land use and land cover change in a severely disturbed environment
Zhang, Z., Peterson, J., Zhu, X. and Wright, W.. 2008. "Revealing long term land use and land cover change in a severely disturbed environment." Zhang, Jingxiong and Goodchild, Michael F. (ed.) 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Shanghai, China 25 - 27 Jun 2008 Liverpool, UK.
Modelling land use and land cover change in the Strzelecki ranges
Zhang Z., Peterson J., Zhu, X. and Wright W.. 2007. "Modelling land use and land cover change in the Strzelecki ranges." Oxley, L. and Kulasiri, D. (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 New Zealand. Modelling and Simulation Society of Australia and New Zealand . pp. 1328-1334