Linking robust spatiotemporal datasets to assess and monitor habitat attributes of a threatened species
Accessibility of multispectral, multitemporal imagery combined with recent advances in cloud computing and machine learning approaches have enhanced our ability to model habitat characteristics across broad spatial and temporal scales. We integrated a large dataset of known nest and roost sites of a...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929618/?tool=EBI |
