Data

Satellite prediction of forest flowering phenology

The University of Western Australia
Callow, Nik ; Dixon, Daniel
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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:doi10.26182/bj5n-qn63&rft.title=Satellite prediction of forest flowering phenology&rft.identifier=10.26182/bj5n-qn63&rft.publisher=The University of Western Australia&rft.description=This dataset supports the paper Satellite prediction of forest flowering phenology, by Dixon et al in Remote Sensing of Environment. The dataset includes drone imagery and the code used to create the maps and estimates of forest flowering phenology. Please download the .zip file, unzip and then read the file Contents.txt, which contains the information on file. The code is provided freely and openly. Please cite the paper Satellite prediction of forest flowering phenology, by Dixon et al in Remote Sensing of Environment if using this code.&rft.creator=Callow, Nik &rft.creator=Dixon, Daniel &rft.date=2020&rft_rights=&rft_subject=drone&rft_subject=remote sensing&rft_subject=flowering phenology&rft.type=dataset&rft.language=English Access the data
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This dataset supports the paper Satellite prediction of forest flowering phenology, by Dixon et al in Remote Sensing of Environment.
The dataset includes drone imagery and the code used to create the maps and estimates of forest flowering phenology.
Please download the .zip file, unzip and then read the file "Contents.txt", which contains the information on file.

The code is provided freely and openly. Please cite the paper Satellite prediction of forest flowering phenology, by Dixon et al in Remote Sensing of Environment if using this code.

Notes

Associated Persons
Daniel Dixon (Owner)

Issued: 2020-12-02

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Subjects
drone | flowering phenology | remote sensing |

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