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Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)

May 31, 2023

Image library of (1) tile-drained landscapes and (2) tile-drain types that will be used for a machine-learning model workflow 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 and Quickbird satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.

Publication Year 2023
Title Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)
DOI 10.5066/P9KSZ382
Authors Tanja N Williamson, Dayle J Hoefling
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Ohio-Kentucky-Indiana Water Science Center
Rights This work is marked with CC0 1.0 Universal
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