Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)
Description
Image library of (1) tile-drained landscapes and (2) tile-drain types used for training a machine-learning model that identifies (1) tile-drained landscapes and (2) differentiates two types of tile-drained areas visible in satellite imagery. These images were sourced from WorldView, Quickbird, and GeoEye satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.
Resources
| Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P9KSZ382 |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.5e8c855e82cee42d13465d00.xml |
Tags
- western-lake-erie
- usgs-5e8c855e82cee42d13465d00
- agriculture
- anthropocene
- holocene
- great-lakes