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Woody Extent and Foliage Projective Cover - Spot, OEH algorithm, NSW

This dataset contains maps of woody vegetation extent and woody foliage projective cover (FPC) for New South Wales at 5 metre resolution. <br /><br />


Woody vegetation is a key feature of our landscape and an integral part of our society. We value it because it contributes to the economy, protects the land, provides us with recreation, and gives refuge to the unique and diverse range of fauna that we regard so highly. Yet it poses a significant threat to us in times of fire and storm. So information about trees is vital for a range of business, property planning, monitoring, risk assessment, and conservation activities. <br /><br />


The datasets are: <br />

Woody vegetation extent. A presence/absence map showing areas of trees and shrubs, taller than two metres, that are visible at the resolution of the imagery used in the analysis. This shows the location, extent, and density of foliage cover for stands of woody vegetation, enabling identification of small features such as trees in paddocks and scattered woodlands through to the largest expanses of forest in the State. Woody extent products contain 'bcu' in the file name.<br /><br />


Woody foliage projective cover (FPC). FPC is a measure of the proportion of the ground area covered by foliage (or photosynthetic tissue) held in a vertical plane and is a measure of canopy density. Woody FPC products contain 'bcv' in the file name. <br /><br />


Both mosaics and tiles are available, along with a shape file that identifies the location of the tiles.

Simple

Identification info

Date (Creation)
2011-01-01
Date (Publication)
2021-09-23
Date (Revision)
2014-07-14
Edition
1.0

Identifier

Title
DataCite
Code
doi:10.25901/dcje-yt71
Codespace
http://dx.doi.org

Publisher

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Author

Office of Environment and Heritage (2011-2019), New South Wales - Broker, Data ()
320 Pitt St Sydney NSW 2000 Australia
Sydney
NSW
2000
Australia
Website
https://www.tern.org.au/

Purpose
What can the maps be used for? The maps are intended for use in rural landscapes and are suited to many applications including:<br /> - property planning<br /> - vegetation mask for topographic maps<br /> - local government planning<br /> - risk assessment, such as in fire-prone areas<br /> - native vegetation mapping<br /> - habitat identification and mapping
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Credit
We owe a debt of gratitude to the numerous Science Division staff and volunteers who edited the maps. Thanks too, to the following organisations: Airbus Defence and Space for SPOT imagery data NSW Land and Property Information for ADS40 data NSW Land and Property Information and a number of commercial vendors for Lidar data Joint Remote Sensing Research Program
Status
Completed

Point of contact

Office of Environment and Heritage (2011-2019), New South Wales - Broker, Data ()
320 Pitt St Sydney NSW 2000 Australia
320 Pitt St
Sydney
NSW
2000
Australia
Topic category
  • Environment
  • Geoscientific information
  • Farming
  • Imagery base maps earth cover

Extent

N
S
E
W


Temporal extent

Time period
2011-01-01 2011-12-31

Vertical element

Minimum value
0.0
Maximum value
0.0
Reference system type
Geodetic Geographic 3D
GCMD Science Keywords
  • ECOSYSTEM FUNCTIONS
  • BIOMASS DYNAMICS
  • CANOPY CHARACTERISTICS
  • VEGETATION COVER
  • VEGETATION INDEX
ANZSRC Fields of Research
  • Wildlife and Habitat Management
  • AGRICULTURE, LAND AND FARM MANAGEMENT
  • Crop and Pasture Biomass and Bioproducts
  • Landscape Ecology
  • ENVIRONMENTAL SCIENCE AND MANAGEMENT
  • Environmental Management
  • Environmental Monitoring
  • URBAN AND REGIONAL PLANNING
  • FORESTRY SCIENCES
TERN Platform Vocabulary
  • SPOT-5
TERN Parameter Vocabulary
  • foliage projective cover
  • Unitless
GCMD Horizontal Resolution Ranges
  • 1 meter - < 30 meters
GCMD Temporal Resolution Ranges
  • Annual
Keywords (Discipline)
  • trees

Resource constraints

Use limitation
The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
File name
88x31.png
File description
CCBy Logo from creativecommons.org
File type
png
Linkage
https://w3id.org/tern/static/cc-by/88x31.png

Title
Creative Commons Attribution 4.0 International Licence
Alternate title
CC-BY
Edition
4.0
Website
https://creativecommons.org/licenses/by/4.0/

Access constraints
License
Use constraints
Other restrictions
Other constraints
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
Other constraints
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Resource constraints

Classification
Unclassified
Supplemental Information
The coordinate reference systems for the files are NSW Lamberts Conformal Conic (mosaic). GDA94 MGA zones 54, 55, and 56 (tiles)

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097
OnLine resource
/attachment/5e2a56b2-45be-41da-b193-9157ff02bd49/nswwoodyvegetationextentfpc2011factsheet1.pdf

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097
OnLine resource
/attachment/5e2a56b2-45be-41da-b193-9157ff02bd49/nswwoodyvegetationextentfpc2011factsheet2_dTwsjzV.pdf

Distribution Information

Distributor

Distributor

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd, Indooroopilly, QLD, Australia, 4068
Indooroopilly
QLD
4068
Australia
OnLine resource
Woody extent and foliage projective cover NSW

Data quality info

Hierarchy level
Dataset
Other
OEH staff conducted two comparisons with independent observations of woody vegetation extent. The first comparison used fine-detailed maps of woody-vegetation extent derived from airborne Lidar surveys. The state-wide map of extent had an overall accuracy of 90.1%.<br /><br /> The second comparison used 6670 image-interpreted points of woody vegetation presence or absence. The points were gathered from images with 2.5 m pixels. The overall accuracy was 88%. The spatial variation in accuracy across the state, reported by Local Land Service region, is listed in the table below.<br /><br /> Care should be taken when interpreting the maps. Incorrect classification is most likely to occur where it is difficult to distinguish trees greater than two metres in height from other types of vegetation. Such vegetation includes sparse woodlands, low shrubs, chenopods, heath, wetlands, and irrigated pastures and crops. Also, woody vegetation is only detected about half of the time when the fol

Report

Result

Statement
<p>Accuracy assessment results are provided in the table below.</p> <table cellpadding="4"> <tbody> <tr> <th scope="col">Local Land<br />Service</th> <th scope="col">Points</th> <th scope="col">Lidar</th> <th scope="col">Local Land<br />Service</th> <th scope="col">Points</th> <th scope="col">Lidar</th> </tr> <tr> <td>North Coast</td> <td>95.8%</td> <td>93.6%</td> <td>Riverina</td> <td>89.0%</td> <td>93.0%</td> </tr> <tr> <td>Northern Tablelands</td> <td>91.8%</td> <td>89.0%</td> <td>Hunter</td> <td>88.7%</td> <td>85.3%</td> </tr> <tr> <td>South East</td> <td>91.6%</td> <td>94.5%</td> <td>North West</td> <td>88.3%</td> <td>89.0%</td> </tr> <tr> <td>Central Tablelands</td> <td>91.0%</td> <td>86.8%</td> <td>Murray</td> <td>84.8%</td> <td>90.3%</td> </tr> <tr> <td>Greater Sydney</td> <td>90.6%</td> <td>89.1%</td> <td>Western</td> <td>77.5%</td> <td>88.6%</td> </tr> <tr> <td>Central West</td> <td>89.8%</td> <td>88.3%</td> </tr> </tbody> </table>

Resource lineage

Hierarchy level
Dataset

Process step

Description
Image Data: The source data was SPOT5 High Resolution Geometric (HRG) satellite imagery. It consists of 4 multispectral bands (10 m pixels), and a panchromatic band (2.5 m pixels). A time series of one image per year for the period 2008 to 2011 was acquired during dry periods where the contrast between woody vegetation and the ground cover is high. A total 1256 images were used. The images were registered with ground control. The multispectral imagery was corrected for atmospheric and bi-directional reflectance effects and sharpened to 5 m pixels using the panchromatic imagery. The images were masked for cloud, cloud shadow, topographic shadow, and water.

Process step

Description
Foliage Projective Cover (FPC): An estimate of FPC was derived for every clear pixel in every image. This required a multiple linear regression model that related the multi-spectral reflectance to a reference data set of FPC. Each pixel contained up to 5 observations of FPC and reflectance over time. The probability of a pixel containing woody vegetation was determined using a binomial logistic regression model. The model parameters were the mean FPC, mean red reflectance, variation in FPC over time, and the climate variable vapour pressure deficit. The model was trained using 25930 observations of woody vegetation presence or absence. These points were interpreted from ADS40 aerial imagery where available (0.5 m pixels) and SPOT5 HRG panchromatic images (2.5 m pixels).

Process step

Description
Mapping woody vegetation: Woody vegetation extent was mapped by applying a threshold to the probability images, with further editing by trained analysts. The mean FPC value over time was used to attribute each woody pixel.

Process step

Description
Accuracy assessment: Two comparisons with independently-derived datasets of woody vegetation extent were performed as described in the Data Quality section.

Reference System Information

Reference system identifier
EPSG/EPSG:4326

Reference system type
Geodetic Geographic 2D

Metadata

Metadata identifier
urn:uuid/5e2a56b2-45be-41da-b193-9157ff02bd49

Title
TERN GeoNetwork UUID

Language
English
Character encoding
UTF8

Point of contact

Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
Indooroopilly
QLD
4068
Australia
+61 7 3365 9097

Type of resource

Resource scope
Dataset
Metadata linkage
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/5e2a56b2-45be-41da-b193-9157ff02bd49

Point-of-truth metadata URL

Date info (Creation)
2011-01-01T00:00:00
Date info (Revision)
2021-03-29T00:00:00

Metadata standard

Title
ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
Edition
1

Metadata standard

Title
ISO/TS 19115-3:2016
Edition
1.0

Metadata standard

Title
ISO/TS 19157-2:2016
Edition
1.0
Title
Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
Date (published)
2021
Edition
1.0

Identifier

Code
10.5281/zenodo.5652221
Website
https://github.com/ternaustralia/TERN-ISO19115/releases/tag/v1.0

 
 

Overviews

Spatial extent

N
S
E
W


Keywords

ANZSRC Fields of Research
AGRICULTURE, LAND AND FARM MANAGEMENT Crop and Pasture Biomass and Bioproducts ENVIRONMENTAL SCIENCE AND MANAGEMENT Environmental Management Environmental Monitoring FORESTRY SCIENCES Landscape Ecology URBAN AND REGIONAL PLANNING Wildlife and Habitat Management
GCMD Science Keywords
BIOMASS DYNAMICS CANOPY CHARACTERISTICS ECOSYSTEM FUNCTIONS VEGETATION COVER VEGETATION INDEX

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