Land cover maps of Sierra de San Javier, Tucumán, Argentina, 1986-2018
The data resource consists of a series of land cover maps built using raster and shapefiles to evaluate the expansion of the invasive Ligustrum lucidum forest cover in Sierra de San Javier (Yungas forest ecoregion). The classification was conducted to investigate the expansion of the invasion of non-native species Ligustrum at the landscape scale and to model future management strategies using RangeShifter software. The data includes 4 maps with 8 classes of land used: Ligustrum forest; Subtropical montane forest; Dry forest; Montane grasslands; Anthropogenic grasslands and shrubland used for livestock and temporary agriculture, a mixed class including also herbaceous agriculture and low-density urban areas; Sugar cane; Citrus plantations, mostly lemon; high/medium-density urban and build up areas. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management Full details about this dataset can be found at
https://doi.org/10.5285/4d30e697-6a97-45ed-95e6-ac4d66247284
Simple
- Date (Publication)
- 2024-06-12
- Identifier
- doi: / 10.5285/4d30e697-6a97-45ed-95e6-ac4d66247284
- Other citation details
- Powell, P.A., Gutierrez-Angonese, J., Burslem, D.F.R.P., Travis, J.M.J., Jiménez, Y.G., Montti, L. (2024). Land cover maps of Sierra de San Javier, Tucumán, Argentina, 1986-2018. NERC EDS Environmental Information Data Centre 10.5285/4d30e697-6a97-45ed-95e6-ac4d66247284
Author
Universidad Nacional de Tucumán & CONICET
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Powell, P.A.
https://orcid.org/0000-0003-3911-0912
Point of contact
Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)
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Montti, L.
- GEMET - INSPIRE themes, version 1.0
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- Environmental Monitoring Facilities
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Powell, P.A., Gutierrez-Angonese, J., Burslem, D.F.R.P., Travis, J.M.J., Jiménez, Y.G., Montti, L. (2024). Land cover maps of Sierra de San Javier, Tucumán, Argentina, 1986-2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/4d30e697-6a97-45ed-95e6-ac4d66247284
- Spatial representation type
- grid Grid
- Spatial representation type
- vector Vector
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Biota
- Environment
- Begin date
- 1986-01-01
- End date
- 2018-12-31
N
S
E
W
- Unique resource identifier
- WGS 84 / Pseudo-Mercator
- Distribution format
-
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TIFF
()
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Shapefile
()
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TIFF
()
- OnLine resource
-
Download the data
Download a copy of this data
- OnLine resource
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Land cover maps (LCM) were constructed by applying the machine learning algorithm Random Forest (RF), based on an ensemble of classification trees, fully run on the Google Earth Engine platform. For the classification of tree model runs, 315 points from Thematic Mapper (TM) were chosen by visual interpretation of satellite data. Training areas previously obtained and tested were used to build LCM series of the same study area. All data collected in training areas is recorded onto GPS in the field. For the Ligustrum class, 52 training points were collected during fieldwork in 2010 and spectrally verified using vegetation indices. A total of 367 points for the 8 categories were used and then were transferred into spreadsheets and exported as comma-separated value (CSV) files for deposit into the EIDC. To classify 1986 LCM a subset of training points of L. lucidum was used, including only 28 areas that were identified as source points of dispersion. The land cover maps obtained were downloaded in raster (tif) format. All training points were presented as shape files.
- File identifier
- 4d30e697-6a97-45ed-95e6-ac4d66247284 XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-11-13T16:16:59
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available
NERC Data Catalogue Service