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sweetapricity/bridgedeck-statsgo

Bridgedeck — STATSGO Soil Properties Soil properties at ~906k US bridge locations, queried from the NRCS Soil Data Access (SDA) REST API using the STATSGO2/SSURGO national database. Source Database: NRCS Soil Data Access (SDA) — https://SDMDataAccess.sc.egov.usda.gov Spatial data: STATSGO2 / SSURGO national map units Query method: Point-in-polygon via SDA_Get_Mukey_from_intersection_with_WktWgs84 Coverage: All unique NBI bridge locations in CONUS (~906k points)… See the full description on the dataset page: https://huggingface.co/datasets/sweetapricity/bridgedeck-statsgo.

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Bridgedeck — STATSGO Soil Properties

Soil properties at ~906k US bridge locations, queried from the NRCS Soil Data Access (SDA) REST API using the STATSGO2/SSURGO national database.

Source

  • Database: NRCS Soil Data Access (SDA) — https://SDMDataAccess.sc.egov.usda.gov
  • Spatial data: STATSGO2 / SSURGO national map units
  • Query method: Point-in-polygon via SDA_Get_Mukey_from_intersection_with_WktWgs84
  • Coverage: All unique NBI bridge locations in CONUS (~906k points)

Schema

ColumnTypeDescription
bridge_idstrBridge identifier ({state}_{county}_{structure})
latitudefloatBridge latitude (WGS-84)
longitudefloatBridge longitude (WGS-84)
mukeystrSTATSGO/SSURGO map unit key
compnamestrDominant soil component name
comppct_rintComponent percentage of map unit
corsteelstrCorrosion potential for steel (High/Moderate/Low)
corconstrCorrosion potential for concrete (High/Moderate/Low)
drainageclstrDrainage class (Well drained / Somewhat poorly drained / etc.)
hydgrpstrHydrologic group (A/B/C/D) — relates to water retention
taxorderstrSoil taxonomy order (Mollisols, Alfisols, etc.)
silttotal_rfloatSurface horizon silt percentage (%) — >50% indicates frost susceptibility

Derived Features

The ETL script (statsgo_clean.py) derives:

  • soil_type: Frost susceptibility classification based on silt content and hydrologic group

Notes

  • Urban bridges (~30%) return empty soil data ("Urban land" has no soil properties)
  • These receive NaN in the derived features — XGBoost handles NaN natively
  • Data is static (soil properties don't change year to year)

Related Datasets

Citation

USDA-NRCS. Soil Survey Staff. Web Soil Survey. https://websoilsurvey.sc.egov.usda.gov/