Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)
收藏DataCite Commons2023-06-01 更新2026-05-07 收录
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https://www.sciencebase.gov/catalog/item/5e8c855e82cee42d13465d00
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资源简介：
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.
提供机构：
U.S. Geological Survey
创建时间：
2023-05-18
