Paddy Rice Mapping using Deep ResU-Net CNN Segmentation

doi: 10.4121/21764192.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21764192
Datacite citation style:
Onojeghuo, Alex (2022): Paddy Rice Mapping using Deep ResU-Net CNN Segmentation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21764192.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
496
views
96
downloads
geolocation
Alberta, Canada
licence
cc-0.png logo CC0

The main objective of this study was to develop a workflow for paddy rice field mapping using a combination of high spatial and temporal optical and radar satellite data in a deep-learning residual CNN model.

history
  • 2022-12-28 first online, published, posted
publisher
4TU.ResearchData
format
Acrobat pdf
organizations
Jolexy Environmental Services Limited

DATA

files (2)