BGS Hosted Metadata
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
- Citation identifier
- https://catalogue.ceh.ac.uk/id/4d30e697-6a97-45ed-95e6-ac4d66247284
- Citation 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
- Point of contact
-
Organisation name Individual name Electronic mail address Role Universidad Nacional de Tucumán & CONICET
Powell, P.A. Author Freelance GIS consultant
Gutierrez-Angonese, J.
Author University of Aberdeen Burslem, D.F.R.P. Author University of Aberdeen Travis, J.M.J. Author Universidad Nacional de Tucumán & CONICET
Jiménez, Y.G.
Author Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)
Montti, L.
Author Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)
Montti, L.
Point of contact NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET), Argentina EMAIL NOT PROVIDED
Owner
-
GEMET - INSPIRE themes, version 1.0
-
-
Environmental Monitoring Facilities
-
-
Wikidata
- Keywords
-
-
Yungas
-
Subtropical secondary forest
-
invaded forest
-
land cover maps
-
montane forest
-
invasive alien species
-
- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- 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
- Spatial representation type
- Vector
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
-
- Biota
- Environment
- Begin date
- 1986-01-01
- End date
- 2018-12-31
))
- Unique resource identifier
- WGS 84 / Pseudo-Mercator
- Distribution format
-
Name Version TIFF
Shapefile
- Distributor contact
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/data/4d30e697-6a97-45ed-95e6-ac4d66247284 Download the data
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/sd/4d30e697-6a97-45ed-95e6-ac4d66247284.zip Supporting information
- Hierarchy level
- Dataset
- Other
-
dataset
Conformance result
- Title
-
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- 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.
Metadata
- File identifier
- 4d30e697-6a97-45ed-95e6-ac4d66247284 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
-
dataset
- Date stamp
- 2025-11-13T16:16:59
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
- Metadata author
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
)))
