IMAS Metadata Catalogue
Floating Forests Kelp Cover from Online Citizen Science
This dataset comes from the Floating Forests project ( https://floatingforests.org). Floating Forests is an online citizen science project attempting to map the cover of surface-canopy forming kelps, primarily the giant kelp Macrocystis pyrifera, using Landsat data. To acquire the data, citizen scientists were given tiles of images taken from the Landsat series of satellites ( https://landsat.usgs.gov/) scenes that had been manipulated to make kelp more visible. Landsat has a roughly two week repeat time for the entire globe and a 30m resolution, although given variability in weather quarterly aggregation is recommended. Each image was scene at minimum four times. If no kelp was noted, then it was retired and scored as a zero. If kelp was noted in the first four classifications, then an individual image was shown to fifteen people total.
The polygons of kelp beds presented here represent consensus classifications from the platform and are tagged with minimum number of users who classified pixels in the polygons as kelp. For example, at the five user threshold, each area represents pixels where at least five users - not necessarily the same five users - said there was kelp present. This consensus classification has been shown to match very closely to expert classifications. For more information and links to outputs, see https://blog.floatingforests.org in addition to the main project site. Or go to the main project site, and start a conversation in the "talk" section of the site.
Simple
Identification info
- Date (Creation)
- 2018-01-16
Principal investigator
Principal investigator
Principal investigator
Principal investigator
Principal investigator
Principal investigator
Principal investigator
Principal investigator
- Credit
- National Center for Ecological Analysis and Synthesis
- Credit
- Kelp Ecosystem Ecology Network
- Credit
- National Aeronautics and Space Administration
- Credit
- Sloan Foundation
- Credit
- Santa Barbara Coastal Long-Term Ecological Research Site
- Status
- On going
Point of contact
Custodian
- Topic category
-
- Biota
Extent
))
Temporal extent
- Time period
- 1983-01-01
- Maintenance and update frequency
- As needed
Resource format
- Title
- SQLite
- Date
- NASA/GCMD Keywords, Version 8.5
- Keywords (Theme)
-
- citizen science
- remote sensing
- satellite imagery
- Keywords (Taxon)
-
- Macrocystis pyrifera
Resource constraints
- Classification
- Unclassified
Resource constraints
- Linkage
-
http://i.creativecommons.org/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Website
-
http://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).
- Language
- English
- Character encoding
- UTF8
Content Information
- Content type
- Physical measurement
- Description
- The threshold value is the minimum number of users whose classifications overlapped on any given pixel to define it as having kelp.
- Name
- Threshold Minimum Number of Users Selecting a Pixel as Kelp
- Name
- threshold
- Name
- Number of People
- Description
- Unique identification code of a single zooniverse subject (image tile)
- Name
- Zooniverse Subject ID
- Name
- zooniverse_id
- Name
- Character
- Description
- Name of Landsat scene from which subject was derived. See https://landsat.usgs.gov/what-are-naming-conventions-landsat-scene-identifiers for naming conventions.
- Name
- Landsat scene
- Name
- scene
- Name
- Character
- Description
- Number of people who classified a given subject
- Name
- Number of classifications
- Name
- classification_count
- Name
- Number of People
- Description
- URL of Zooniverse subject used in classification
- Name
- Subject Image URL
- Name
- image_url
- Name
- URL
- Description
- Longitude of upper leftcorner of subject
- Name
- Subject Upper Left Corner Longitude
- Name
- tile_upper_left_x_LL
- Name
- Degrees
- Description
- Latitude of upper leftcorner of subject
- Name
- Subject Upper Left Corner Latitude
- Name
- tile_upper_left_y_LL
- Name
- Degrees
- Description
- Longitude of lower leftcorner of subject
- Name
- Subject Lower Left Corner Longitude
- Name
- tile_lower_left_x_LL
- Name
- Degrees
- Description
- Latitude of lower leftcorner of subject
- Name
- Subject Lower Left Corner Latitude
- Name
- tile_lower_left_y_LL
- Name
- Degrees
- Description
- Longitude of upper right corner of subject
- Name
- Subject Upper Right Corner Longitude
- Name
- tile_upper_right_x_LL
- Name
- Degrees
- Description
- Latitude of upper right corner of subject
- Name
- Subject Upper Right Corner Latitude
- Name
- tile_upper_right_y_LL
- Name
- Degrees
- Description
- Longitude of lower right corner of subject
- Name
- Subject Lower Right Corner Longitude
- Name
- tile_lower_right_x_LL
- Name
- Longitude
- Description
- Latitude of lower right corner of subject
- Name
- Subject Lower Right Corner Latitude
- Name
- tile_lower_right_y_LL
- Name
- Degrees
- Description
- Date scene was captured by Landsat satellite
- Name
- Date of Scene
- Name
- scene_timestamp
- Name
- YMD Date
- Description
- Date and time that Zooniverse image processing pipeline created the subject for classification
- Name
- Date and Time Subject Created At
- Name
- created_at
- Name
- POSIXct
- Description
- Identification of giant kelp coverage from Landsat satellite imagery.
Identifier
Distribution Information
- Distribution format
-
- CSV
OnLine resource
- Protocol
- OGC:WFS-1.0.0-http-get-feature--shapefile
- Name of the resource
- SHAPE-ZIP
- Description
- DATA ACCESS - download the Floating Forests data in Shapefile format
- OnLine resource
-
TRB_FloatingForests
This OCG WFS service returns the Floating Forests data for subset and download in a variety of formats.
- OnLine resource
-
TRB_FloatingForests
Map of Floating Forests positive kelp detections
- OnLine resource
- Floating Forests Project Webpage
Resource lineage
- Statement
- To acquire the data, citizen scientists were given tiles of images taken from Landsat scenes that had been manipulated to make kelp more visible. Each image was scene at minimum four times. If no kelp was noted, then it was retired and scored as a zero. If kelp was noted in the first four classifications, then an individual image was shown to fifteen people total. The polygons of kelp beds presented here represent consensus classifications from the platform and are tagged with minimum number of users who classified pixels in the polygons as kelp. For example, at the five user threshold, each area represents pixels where at least five users - not necessarily the same five users - said there was kelp present
- Hierarchy level
- Dataset
- Hierarchy level
- Dataset
Platform
Identifier
- Code
- orbiting satellite
Instrument
Identifier
- Code
- cameras
Metadata
- Metadata identifier
- urn:uuid/554ef3f6-4f05-4e40-bbf5-1e6dd31d920c
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/554ef3f6-4f05-4e40-bbf5-1e6dd31d920c
Point of truth URL of this metadata record
- Date info (Creation)
- 2019-06-28T16:22:31
- Date info (Revision)
- 2026-06-01T07:09:48
Metadata standard
- Title
- ISO 19115-3:2018
Overviews
Spatial extent
Provided by
