Aalto: Sample training set for Ailanthus altissima visual aid reconnaissance
Default
IdentificationAbout this resource
- Alternate Identifier
-
a8f28e3c-5c73-4411-bccb-6379a530faeb
- Publication Date
- 2025-11-20
- Title
-
Aalto: Sample training set for Ailanthus altissima visual aid reconnaissance
- Abstract
-
The Aalto shapefile contain a sample training set for the Alvar cloud application, i.e. a service for Ailanthus altissima visual aid reconnaissance. The minimum working example to run the service is to use Alvar (service) and this dataset (Aalto) in pair. The dataset attributes are: label, primary key, string; class: 0 = unclassified, 1 = A. altissima, 2 = other trees, 3 = olive orchards and vineyards, 4 = permanent grassland and crops; type: T = training set, C = control set; notes = a comment string, not used by Alvar software.
- purpose
-
A training set for the Alvar cloud application, i.e. a service for Ailanthus altissima visual aid reconnaissance.
- Dataset Language
-
English
- Dataset Creator
- Metadata Provider
- Associated Party
- Associated Party
- Dataset Contact
- Keywords (Biodiversity Thesaurus)
-
-
plant cover
-
vegetation type
-
invasive alien species
-
- Keywords (Environmental Thesaurus)
-
-
plant invasion
-
- Keywords (eLTER Controlled Lists)
-
-
spatial data file (GIS)
-
vector
-
Geographic Coverage
- Geographic Description
-
Umbria (central Italy) and Sicily (southern Italy)
Bounding Box
- West Bounding Coordinate
-
11.9547
- East Bounding Coordinate
-
14.4903
- North Bounding Coordinate
-
42.7782
- South Bounding Coordinate
-
37.6493
Temporal Coverage
Range of Dates
- Begin Date
-
2021-01-01
- End Date
-
2023-09-30
resourceLicensesLicense Information
- Intellectual Rights
-
Free for use, including sharing and adaptation, by all individuals provided that the owners are acknowledged in any use or publication.
Resource License
- License Name
-
cc-by
Project
• Project
- Title
-
USEit: Using operational synergies for the study and integrated management of invasive alien species in Italy
Personnel
Individual Name
- Given Name
-
Marco
- Surname
-
Ciolfi
- Organization Name
-
National Research Council (CNR), Research Institute on Terrestrial Ecosystems (IRET)
- Position Name
-
Technologist
- User ID
-
0000-0003-4831-8053
- Role
-
Point Of Contact
- Abstract
-
Biological invasions represent today one of the greatest threats to global biodiversity, with negative impacts on human health and the economy of our country. The USEit project addresses this problem by involving a number of marine and terrestrial institutes of the National Research Council of Italy (CNR). Our main goal is to empower the scientific research on invasive species and to transform this challenge into new opportunities and new growth strategies.
Methods
• Method
Method Step
- Description
-
Site identification by historical mapping and local experts advice (Università di Palermo, Parco della Ficuzza, Riserva Monte Pellegrino). On-site species identification by visual inspection. Leaf and soil sampling was carried out for stable isotope analysis according to literature and at least three statistically significant samples per kind, species and sampling site were collected. Stable isotope data are available at: https://data.lifewatchitaly.eu/handle/123456789/326244
Software
Sampling
- Study Extent
-
Random field sampling in Ailanthus altissima infested areas: GPS localisation and in-situ leaves and soil collection (for stable isotopes analysis). Double or triple readings were used for GPS localization to improve accuracy of coordinates collection. Scissors and a lopper were used for leaves collection. Leaves were then stored in plastic bags and refrigeration was applied immediately after picking. Soil cores were collected with Haglöf auger and refrigeration was applied immediately after collection. Stable isotope data associated to records included in this shape file are available at: https://data.lifewatchitaly.eu/handle/123456789/326244
- Sampling Description
-
The sampling area included western Umbria (central Italy) and Sicily (southern Italy).
Data Tables
• Data Table
- Name
-
aalto_attributes.csv
- Description
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A CSV file describing the attributes of the DBF file and associated shapefile.
Physical
- Object Name
-
aalto_attributes.csv
- Size
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3609
- Authentication
-
MD5:8c0597da2627c0b4bdc6c09b8ec5530e
Data Format
- textFormat
-
1
column
,
Attribute List
Attribute
- Name
-
FID
- Label
-
FID
- Definition
-
The feature identifier (FID) is a unique identifier for each record (row) in the DBF table, which corresponds to a specific spatial feature in the associated shapefile.
Measurement Scale
nominal
nonNumericDomain
textDomain
- Definition
-
Any Text
Attribute
- Name
-
LABEL
- Label
-
LABEL
- Definition
-
A label (string) identifying each record (row) in the DBF table, which corresponds to a specific spatial feature in the associated shapefile.
Measurement Scale
nominal
nonNumericDomain
textDomain
- Definition
-
Any Text
Attribute
- Name
-
CLASS
- Label
-
CLASS
- Definition
-
Describes membership of a group into which vegetation is classified.
Measurement Scale
nominal
nonNumericDomain
enumeratedDomain
- codeDefinition
-
0
unclassified
-
- codeDefinition
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1
A. altissima
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- codeDefinition
-
2
other trees
-
- codeDefinition
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3
olive orchards and vineyards
-
- codeDefinition
-
4
permanent grassland and crops
-
Attribute
- Name
-
NOTES
- Label
-
NOTES
- Definition
-
Comments or notes about the record.
Measurement Scale
nominal
nonNumericDomain
textDomain
- Definition
-
Any Text
Attribute
- Name
-
TYPE
- Label
-
TYPE
- Definition
-
Describes the type of record used by the Alvar software for training.
Measurement Scale
nominal
nonNumericDomain
enumeratedDomain
- codeDefinition
-
T
training set
-
- codeDefinition
-
C
control set
-
- numberOfRecords
-
134
