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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
https://catalogue.ceh.ac.uk/id/4d30e697-6a97-45ed-95e6-ac4d66247284
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 - Powell, P.A.
https://orcid.org/0000-0003-3911-0912
Author
  Freelance GIS consultant - Gutierrez-Angonese, J.
Author
  University of Aberdeen - Burslem, D.F.R.P.
https://orcid.org/0000-0001-6033-0990
Author
  University of Aberdeen - Travis, J.M.J.
https://orcid.org/0000-0002-5785-4272
Author
  Universidad Nacional de Tucumán & CONICET - Jiménez, Y.G.
Author
  Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET) - Montti, L.
Point of contact
  Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET) - Montti, L.
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
Owner
  Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET), Argentina
GEMET - INSPIRE themes, version 1.0
  • Environmental Monitoring Facilities
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
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
  • Biota
  • Environment
Begin date
1986-01-01
End date
2018-12-31
N
S
E
W
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Unique resource identifier
WGS 84 / Pseudo-Mercator
Distribution format
  • TIFF ()

  • Shapefile ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
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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/
 
 

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Keywords

GEMET - INSPIRE themes, version 1.0
Environmental Monitoring Facilities

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