Data

TasCover: High resolution (10 m) tree-cover maps for Tasmania.

Commonwealth Scientific and Industrial Research Organisation
Stewart, Stephen
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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=info:doi10.25919/63rr-sm72&rft.title=TasCover: High resolution (10 m) tree-cover maps for Tasmania.&rft.identifier=10.25919/63rr-sm72&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=TasCover provides high resolution tree cover maps (10 m) for Tasmania, Australia. This product was developed to improve the availability of tree cover information suitable for farm-scale analyses using freely available, high resolution satellite imagery. Tree cover is defined as pixels with greater than 10% canopy cover reaching at least 2m in height. Interactive maps of these data products (in Google Earth Engine) are provided in the links below.All modelling was performed in Google Earth Engine using a random forest classifier. The model was trained on over 73,972 points derived from airborne LiDAR data acquired between December 2018 and April 2020 across Tasmania. Seasonal composites of 12 spectral bands taken from the Sentinel 2 MSI L2 (surface reflectance) product in Google Earth Engine, in addition to derived metrics describing temporal variability and spatial texture were used as model covariates. Testing on 22,189 held-out points resulted in an overall accuracy of 92.6% (sensitivity = 0.933, specificity = 0.919, Kappa = 0.853).&rft.creator=Stewart, Stephen &rft.date=2022&rft.edition=v2&rft.coverage=northlimit=-39.16229; southlimit=-43.79791; westlimit=143.75101; eastLimit=148.56341; projection=WGS84&rft_rights=All Rights (including copyright) CSIRO 2021.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=sentinel 2, tree cover, LiDAR&rft_subject=Agroforestry&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=FORESTRY SCIENCES&rft_subject=Photogrammetry and Remote Sensing&rft_subject=ENGINEERING&rft_subject=GEOMATIC ENGINEERING&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution
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All Rights (including copyright) CSIRO 2021.

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Brief description

TasCover provides high resolution tree cover maps (10 m) for Tasmania, Australia. This product was developed to improve the availability of tree cover information suitable for farm-scale analyses using freely available, high resolution satellite imagery. Tree cover is defined as pixels with greater than 10% canopy cover reaching at least 2m in height. Interactive maps of these data products (in Google Earth Engine) are provided in the links below.

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All modelling was performed in Google Earth Engine using a random forest classifier. The model was trained on over 73,972 points derived from airborne LiDAR data acquired between December 2018 and April 2020 across Tasmania. Seasonal composites of 12 spectral bands taken from the Sentinel 2 MSI L2 (surface reflectance) product in Google Earth Engine, in addition to derived metrics describing temporal variability and spatial texture were used as model covariates. Testing on 22,189 held-out points resulted in an overall accuracy of 92.6% (sensitivity = 0.933, specificity = 0.919, Kappa = 0.853).

Data time period: 2019-01-01

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148.56341,-39.16229 148.56341,-43.79791 143.75101,-43.79791 143.75101,-39.16229 148.56341,-39.16229

146.15721,-41.4801

Subjects
Agricultural and Veterinary Sciences | Agroforestry | Engineering | Forestry Sciences | Geomatic Engineering | Photogrammetry and Remote Sensing | sentinel 2, tree cover, LiDAR |

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