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Data Publisher for Earth & Environmental Science

Lyons, Mitchell B; Phinn, Stuart R; Roelfsema, Christiaan M (2012): Time-series of seagrass and land cover maps from 1972 to 2010, in South East Queensland, Australia, with links to GeoTIFFs [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.843545, Supplement to: Lyons, MB et al. (2012): Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia. ISPRS Journal of Photogrammetry and Remote Sensing, 71, 34-46, https://doi.org/10.1016/j.isprsjprs.2012.05.002

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Abstract:
Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are now readily accessible, but are not being fully utilised by management agencies due to the lack of appropriate methods to consistently produce accurate and timely management ready information. This work developed an object-based remote sensing approach to map land cover and seagrass distribution in an Australian coastal environment for a 38 year Landsat image time-series archive (1972-2010). Landsat Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) imagery were used without in situ field data input (but still using field knowledge) to produce land and seagrass cover maps every year data were available, resulting in over 60 map products over the 38 year archive. Land cover was mapped annually using vegetation, bare ground, urban and agricultural classes. Seagrass distribution was also mapped annually, and in some years monthly, via horizontal projected foliage cover classes, sand and deep water. Land cover products were validated using aerial photography and seagrass maps were validated with field survey data, producing several measures of accuracy. An average overall accuracy of 65% and 80% was reported for seagrass and land cover products respectively, which is consistent with other studies in the area. This study is the first to show moderate spatial resolution, long term annual changes in land cover and seagrass in an Australian environment, created without the use of in situ data; and only one of a few similar studies globally. The land cover products identify several long term trends; such as significant increases in South East Queensland's urban density and extent, vegetation clearing in rural and rural-residential areas, and inter-annual variation in dry vegetation types in western South East Queensland. The seagrass cover products show that there has been a minimal overall change in seagrass extent, but that seagrass cover level distribution is extremely dynamic; evidenced by large scale migrations of higher seagrass cover levels and several sudden and significant changes in cover level. These mapping products will allow management agencies to build a baseline assessment of their resources, understand past changes and help inform implementation and planning of management policy to address potential future changes.
Coverage:
Latitude: -27.365000 * Longitude: 153.310000
Date/Time Start: 1972-12-11T00:00:00 * Date/Time End: 2010-09-26T00:00:00
Event(s):
Moreton_Bay * Latitude: -27.365000 * Longitude: 153.310000 * Location: Moreton Bay, Brisbane, South East Queensland, Coral Sea, Australia
Comment:
All data files are in GeoTIFF format.
The date of the image a seagrass map was created from is indicated in the file name prefix (i.e. "YYYY_MM_DD") and those without a day specified were mapped from a composite of the month specified, day was set to 15 in this case.
All maps were created from Landsat 5 TM imagery, except those with "_l7" and "_mss" suffixes in the file name, which were created from Landsat 7 ETM+ and Landsat MSS respectively.
Land cover maps can be downloaded as a single .zip file from the "Related to:" section above.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DATE/TIMEDate/TimeGeocode
2File nameFile nameLyons, Mitchell B
3Uniform resource locator/link to fileURL fileLyons, Mitchell BGeoTIFF
4File sizeFile sizekByteLyons, Mitchell B
Size:
117 data points

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