Data

Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW

data.nsw.gov.au
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/canopy-dieback-severity-mapping-in-public-forests-of-the-lower-north-coast-of-nsw&rft.title=Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW&rft.identifier=http://data.nsw.gov.au/data/dataset/canopy-dieback-severity-mapping-in-public-forests-of-the-lower-north-coast-of-nsw&rft.publisher=data.nsw.gov.au&rft.description=This canopy dieback map product was developed under the CIFOA Monitoring Program to support forest health assessment following extreme climate events. Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three standardised classes: live, partially dead, and dead. The model was trained using high-resolution manual classifications and applied across the NSW North Coast to map the spatial extent of canopy dieback observed after the 2023 early-season drought.\r\nThe dataset contains 57 Tifs and one QGIS Layer Settings file.&rft.creator=Anonymous&rft.date=2025&rft.coverage=151.81819,-32.58297 151.81819,-31.08574 153.04103,-31.08574 153.04103,-32.58297 151.81819,-32.58297&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=Forest structure&rft_subject=canopy dieback&rft_subject=health and regeneration monitoring&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution
http://www.opendefinition.org/licenses/cc-by

Access:

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Brief description

This canopy dieback map product was developed under the CIFOA Monitoring Program to support forest health assessment following extreme climate events. Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three standardised classes: live, partially dead, and dead. The model was trained using high-resolution manual classifications and applied across the NSW North Coast to map the spatial extent of canopy dieback observed after the 2023 early-season drought.
The dataset contains 57 Tifs and one QGIS Layer Settings file.

151.81819,-32.58297 151.81819,-31.08574 153.04103,-31.08574 153.04103,-32.58297 151.81819,-32.58297

152.42961,-31.834355

Subjects
Forest structure | canopy dieback | health and regeneration monitoring |

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Other Information
NSW Natural Resources Commission

url : http://data.nsw.gov.au/data/organization/nsw-natural-resources-commission

Identifiers
ACN 633 798 857