Kamm, Matthew; Reed, J Michael (2018): Assessment of classification accuracy of habitat types in UAV aerial photos around American kestrel nest box sites in Massachusetts, USA [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.884669
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Abstract:
This data collection contains confusion matrices evaluating the accuracy of supervised classification of habitat types in UAV aerial photos around American kestrel nest sites in Massachusetts, USA as well as results from confusion matrices of supervised classification and from multiple independent observers classifying one aerial image of an American kestrel nest box site using ENVI.
Coverage:
Latitude: 42.230000 * Longitude: -71.530000
Event(s):
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
3 datasets
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Datasets listed in this publication series
- Kamm, M; Reed, JM (2018): Confusion matrices evaluating the accuracy of supervised classification of habitat types in UAV aerial photos around American kestrel nest sites in Massachusetts, USA. https://doi.org/10.1594/PANGAEA.884660
- Kamm, M; Reed, JM (2018): Results from confusion matrices of supervised classification of habitat at 12 American kestrel nest sites in Massachusetts. https://doi.org/10.1594/PANGAEA.884609
- Kamm, M; Reed, JM (2018): Results from multiple independent observers classifying one aerial image of an American kestrel nest box site in Massachusetts, USA using ENVI. https://doi.org/10.1594/PANGAEA.884662