Data

SLATS - Woody Vegetation Change - NSW 2008-2014

data.nsw.gov.au
Department of Planning, Industry and Environment (Owner)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/spot-woody-change-data-5-10m-2008-201006e27&rft.title=SLATS - Woody Vegetation Change - NSW 2008-2014&rft.identifier=http://data.nsw.gov.au/data/dataset/spot-woody-change-data-5-10m-2008-201006e27&rft.publisher=data.nsw.gov.au&rft.description=Data Quality StatementFactsheet - Statewide Landcover and Tree Study (SLATS)Landcover Classesslats_spot5_change_nsw_2008_gda94slats_spot5_change_nsw_2009_gda94slats_spot5_change_nsw_2010_gda94slats_spot5_change_nsw_2011_gda94slats_spot5_change_nsw_2012_gda94slats_spot5_change_nsw_2013_gda94slats_spot5_change_nsw_2014_gda94_origcips_spot5_nsw_2008_Lambertscips_spot5_nsw_2009_Lambertscips_spot5_nsw_2010_Lambertscips_spot5_nsw_2011_Lambertscips_spot5_nsw_2012_Lambertscips_spot5_nsw_2013_Lambertscips_spot5_nsw_2014_LambertsThese layers show areas of woody vegetation change based on the analysis of multi-date SPOT5 imagery. Woody change is detected though a combination of automated and manual interpretation of the differences between images captured during summer of each year. Satellite images are selected as close as possible to the 1st of January each year and must have a clear view of the ground not impacted by smoke or cloud cover. This requirement can result in a range of imagery dates being selected for each SLATS year.\r\n\r\nTo reflect this, data naming previously included both years in which imagery was captured, for example 2008-2009, 2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-14 and 2014-15.\r\n\r\nFor clarity data is now named using the year in which the majority of the clearing has taken place i.e. 2008, 2009, 2010, 2011, 2012, 2013, 2014.\r\n\r\nThe woody vegetation change is mapped using the SLATS (Statewide Land and Tree Survey) method which applies an automated change analysis process followed by visual interpretation of the results by experienced image interpretation staff. Landcover classes reflect the interpreted cause of woody vegetation change. Each change year has a single statewide point and polygon layer derived from approximately 310 SPOT scenes covering NSW. \r\n\r\nVector point format is preferred for analysis to prevent double counting when undertaking regional calculations. Points can only fall into a single region unlike raster pixels which can sit astride a vector boundary. This often occurs with analysis based on vector regions such as Local Government Areas or Bioregions.\r\n\r\nThe woody change data is also used for vegetation compliance analysis.\r\nChange statistics are available for all change periods.\r\n\r\nContact the data broker on data.broker@environment.nsw.gov.au for further information.&rft.creator=Anonymous&rft.date=2022&rft.coverage=154.0,-38.0 154.0,-28.0 141.0,-28.0 141.0,-38.0 154.0,-38.0&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=broadscale clearing&rft_subject=paddock tree clearing&rft_subject=slats&rft_subject=woody change&rft.type=dataset&rft.language=English Access the data

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http://www.opendefinition.org/licenses/cc-by

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Brief description

These layers show areas of woody vegetation change based on the analysis of multi-date SPOT5 imagery. Woody change is detected though a combination of automated and manual interpretation of the differences between images captured during summer of each year. Satellite images are selected as close as possible to the 1st of January each year and must have a clear view of the ground not impacted by smoke or cloud cover. This requirement can result in a range of imagery dates being selected for each SLATS year.\r\n\r\nTo reflect this, data naming previously included both years in which imagery was captured, for example 2008-2009, 2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-14 and 2014-15.\r\n\r\nFor clarity data is now named using the year in which the majority of the clearing has taken place i.e. 2008, 2009, 2010, 2011, 2012, 2013, 2014.\r\n\r\nThe woody vegetation change is mapped using the SLATS (Statewide Land and Tree Survey) method which applies an automated change analysis process followed by visual interpretation of the results by experienced image interpretation staff. Landcover classes reflect the interpreted cause of woody vegetation change. Each change year has a single statewide point and polygon layer derived from approximately 310 SPOT scenes covering NSW. \r\n\r\nVector point format is preferred for analysis to prevent double counting when undertaking regional calculations. Points can only fall into a single region unlike raster pixels which can sit astride a vector boundary. This often occurs with analysis based on vector regions such as Local Government Areas or Bioregions.\r\n\r\nThe woody change data is also used for vegetation compliance analysis.\r\nChange statistics are available for all change periods.\r\n\r\nContact the data broker on data.broker@environment.nsw.gov.au for further information.

Full description

Data Quality Statement
Factsheet - Statewide Landcover and Tree Study (SLATS)
Landcover Classes
slats_spot5_change_nsw_2008_gda94
slats_spot5_change_nsw_2009_gda94
slats_spot5_change_nsw_2010_gda94
slats_spot5_change_nsw_2011_gda94
slats_spot5_change_nsw_2012_gda94
slats_spot5_change_nsw_2013_gda94
slats_spot5_change_nsw_2014_gda94_orig
cips_spot5_nsw_2008_Lamberts
cips_spot5_nsw_2009_Lamberts
cips_spot5_nsw_2010_Lamberts
cips_spot5_nsw_2011_Lamberts
cips_spot5_nsw_2012_Lamberts
cips_spot5_nsw_2013_Lamberts
cips_spot5_nsw_2014_Lamberts
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154.0,-38.0 154.0,-28.0 141.0,-28.0 141.0,-38.0 154.0,-38.0

147.5,-33

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