From Geoscience Australia
JSON RDF ISO19115-3 XML

MANGROVE_25_2.0.2

ARCHIVED

Created 20/01/2025

Updated 20/01/2025

JSON RDF ISO19115-3 XML

This mangrove canopy cover product provides valuable information about the extent and canopy density of mangroves for each year between 1987 and 2018 for the entire Australian coastline.

The canopy cover classes are 20-50% (pale green), 50-80% (mid green), 80-100% (dark green). The product consists of a sequence (one per year) of 25-metre resolution maps that are generated by analysing the Landsat fractional cover developed by the Joint Remote Sensing Research Program (https://doi.org/10.6084/m9.figshare.94250.v1) and the Global Mangrove Watch layers developed by the Japanese Aerospace Exploration Agency (https://doi.org/10.1071/MF13177).

This product can be cited as Lymburner, L., Bunting, P., Lucas, R., Scarth, P., Alam, I., Phillips, C., Ticehurst, C. and Held, A. (2018). Mapping the multi-decadal mangrove dynamics of the Australian coastline. See https://www.sciencedirect.com/science/article/pii/S0034425719301890.

Files and APIs

Tags

Additional Info

Field Value
Title MANGROVE_25_2.0.2
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/d88d08ee-93b0-4416-a4d5-c0a2d0f3c684
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 16/08/1986 - 31/07/2017
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.92, -54.75], [159.11, -54.75], [159.11, -9.2402], [112.92, -9.2402], [112.92, -54.75]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "MANGROVE_25_2.0.2". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/mangrove_25_2-0-2

Original dataset
  • ARCHIVED

    MANGROVE_25_2.0.2

    Geoscience Australia

    This mangrove canopy cover product provides valuable information about the extent and canopy density of mangroves for each year between 1987 and 2018 for the entire Australian...

    Dataset updated: 20/01/2025

Dataset copies

No duplicate datasets found.