bridge_id stringlengths 8 22 | latitude float64 -8.5 98.2 | longitude float64 -179.54 99.3 | elevation_m float64 -71 5.4k ⌀ |
|---|---|---|---|
01_000_00000000000S701 | 31.103333 | -87.57 | 91 |
01_000_0000000000M0022 | 32.365556 | -84.959444 | 112 |
01_000_CEPSAMAL0000001 | 33.45 | -87.35 | 147 |
01_000_CEPSAMAL0000002 | 33.158333 | -88.27 | 47 |
01_000_CEPSAMAL0000003 | 32.375 | -86.783333 | 40 |
01_000_DAPAMCANN0000H5 | 33.641353 | -85.921381 | 183 |
01_000_DAPAMCRED000001 | 34.66 | -86.605 | 177 |
01_000_DAPAMCRED000002 | 34.653333 | -86.613333 | 175 |
01_000_DAPAMCRED000003 | 34.65 | -86.616667 | 173 |
01_000_DAPAMCRED000004 | 34.618333 | -86.63 | 182 |
01_000_DAPAMCRED000005 | 34.595 | -86.6 | 181 |
01_000_DAPAMCRED000006 | 34.626667 | -86.63 | 171 |
01_000_DAPAMCRED000010 | 34.646667 | -86.653333 | 184 |
01_000_DAPAMCRED000012 | 34.645 | -86.685 | 176 |
01_000_DAPAMCRED000013 | 34.641667 | -86.691667 | 179 |
01_000_DAPAMCRED000014 | 34.645 | -86.698333 | 170 |
01_000_DAPAMCRED000015 | 34.618333 | -86.665 | 171 |
01_000_DAPAMCRED000016 | 34.615 | -86.698333 | 167 |
01_000_DAPAMCRED000017 | 34.655 | -86.653333 | 193 |
01_000_DAPAMCRED000018 | 34.668333 | -86.663333 | 199 |
01_000_DAPAMCRED000019 | 34.671667 | -86.671667 | 189 |
01_000_DAPAMCRED000021 | 34.668333 | -86.698333 | 181 |
01_000_DAPAMCRED000022 | 34.698333 | -86.625 | 191 |
01_000_DAPAMCRED000023 | 34.673333 | -86.621667 | 180 |
01_000_DAPAMCRED000024 | 34.678333 | -86.62 | 179 |
01_000_DAPAMCRED000028 | 34.698333 | -86.625 | 191 |
01_001_000328 | 32.65 | -86.483333 | 117 |
01_001_001539 | 32.45 | -86.466667 | 59 |
01_001_001907 | 32.616153 | -86.728767 | 85 |
01_001_001908 | 32.6 | -86.716667 | 104 |
01_001_001909 | 32.610272 | -86.718003 | 93 |
01_001_001910 | 32.574586 | -86.683294 | 85 |
01_001_001911 | 32.568261 | -86.675786 | 82 |
01_001_002296 | 32.416667 | -86.516667 | 59 |
01_001_002632 | 32.490061 | -86.453533 | 115 |
01_001_002736 | 32.47 | -86.490278 | 63 |
01_001_002737 | 32.45 | -86.466667 | 59 |
01_001_002772 | 32.45 | -86.466667 | 59 |
01_001_002951 | 32.5 | -86.533333 | 83 |
01_001_003041 | 32.456667 | -86.778333 | 83 |
01_001_003042 | 32.45 | -86.733333 | 75 |
01_001_003529 | 32.535767 | -86.866619 | 66 |
01_001_003747 | 32.65 | -86.733333 | 106 |
01_001_003779 | 32.6 | -86.583333 | 119 |
01_001_004008 | 32.433333 | -86.45 | 88 |
01_001_004760 | 32.425628 | -86.412269 | 56 |
01_001_004761 | 32.425653 | -86.411719 | 54 |
01_001_005074 | 32.433333 | -86.45 | 88 |
01_001_005258 | 32.533333 | -86.516667 | 121 |
01_001_005427 | 32.55 | -86.8 | 71 |
01_001_005428 | 32.579 | -86.796544 | 82 |
01_001_005475 | 32.574256 | -86.681825 | 87 |
01_001_005503 | 32.6 | -86.666667 | 99 |
01_001_005504 | 32.6 | -86.683333 | 123 |
01_001_005803 | 32.433333 | -86.45 | 88 |
01_001_005804 | 32.438333 | -86.44 | 90 |
01_001_005805 | 32.438333 | -86.433333 | 83 |
01_001_006191 | 32.5 | -86.583333 | 84 |
01_001_006192 | 32.483333 | -86.55 | 147 |
01_001_006248 | 32.416667 | -86.5 | 63 |
01_001_006249 | 32.666667 | -86.683333 | 116 |
01_001_006277 | 32.596517 | -86.869092 | 83 |
01_001_006649 | 32.666667 | -86.433333 | 157 |
01_001_006650 | 32.688469 | -86.415186 | 112 |
01_001_006776 | 32.65 | -86.483333 | 117 |
01_001_006777 | 32.656111 | -86.521389 | 164 |
01_001_006778 | 32.665 | -86.503333 | 132 |
01_001_006779 | 32.666667 | -86.5 | 149 |
01_001_006969 | 32.7 | -86.65 | 142 |
01_001_006970 | 32.633333 | -86.666667 | 100 |
01_001_006971 | 32.633333 | -86.666667 | 100 |
01_001_006972 | 32.633333 | -86.666667 | 100 |
01_001_007024 | 32.5 | -86.7 | 87 |
01_001_007025 | 32.5 | -86.7 | 87 |
01_001_007026 | 32.5 | -86.7 | 87 |
01_001_007027 | 32.568928 | -86.511214 | 100 |
01_001_007066 | 32.572044 | -86.504789 | 104 |
01_001_007361 | 32.654356 | -86.585342 | 135 |
01_001_007898 | 32.383333 | -86.783333 | 58 |
01_001_007938 | 32.463978 | -86.638858 | 62 |
01_001_007990 | 32.525 | -86.4 | 128 |
01_001_008262 | 32.409278 | -86.786461 | 50 |
01_001_008335 | 32.416667 | -86.55 | 86 |
01_001_008557 | 32.566667 | -86.466667 | 181 |
01_001_008558 | 32.6 | -86.466667 | 175 |
01_001_008559 | 32.623258 | -86.488444 | 198 |
01_001_008660 | 32.549431 | -86.457753 | 155 |
01_001_009760 | 32.616997 | -86.424947 | 104 |
01_001_009761 | 32.6 | -86.4 | 103 |
01_001_010062 | 32.65795 | -86.492919 | 126 |
01_001_010077 | 32.583333 | -86.4 | 145 |
01_001_010330 | 32.670206 | -86.680406 | 107 |
01_001_010331 | 32.670528 | -86.679828 | 108 |
01_001_010674 | 32.515 | -86.43 | 126 |
01_001_010675 | 32.516747 | -86.433439 | 127 |
01_001_010676 | 32.539444 | -86.462222 | 179 |
01_001_011254 | 32.55 | -86.6 | 128 |
01_001_011436 | 32.55 | -86.833333 | 119 |
01_001_011577 | 32.6 | -86.866667 | 102 |
01_001_011837 | 32.633333 | -86.666667 | 100 |
Bridgedeck — USGS Elevation at Bridge Locations (3DEP)
Part of the bridgedeck dataset collection for US bridge deck deterioration research.
⚠️ Pipeline dependency — This dataset contains pre-queried elevation values for all US bridge locations. It is shared to avoid re-running ~900k API calls. It is not a primary research dataset. See
sweetapricity/bridgedeck-nbifor the main bridge dataset.
Overview
Elevation above sea level (metres, NAVD88) queried at each unique US bridge location from the USGS 3D Elevation Program (3DEP) via the Elevation Point Query Service (EPQS). Elevation is a proxy for several deterioration-relevant factors:
- High elevation → more freeze-thaw cycles, more snow/ice, more deicing salt use
- Low elevation → more flood exposure, higher humidity
- Coastal low elevation → marine chloride exposure
Source
Source: USGS 3D Elevation Program (3DEP)
API: USGS Elevation Point Query Service — https://apps.nationalmap.gov/epqs/
Resolution: 1/3 arc-second (~10m), NAVD88 vertical datum
Coverage: CONUS + AK + HI
Contents
| File | Description |
|---|---|
elevation_bridge_points.csv |
Elevation (metres) at each unique bridge lat/lon |
Schema
| Column | Type | Description |
|---|---|---|
bridge_id |
str | {state_fips}_{county_fips}_{structure_number} — joins to NBI |
latitude |
float | Bridge latitude (WGS-84) |
longitude |
float | Bridge longitude (WGS-84) |
elevation_m |
float | Elevation above sea level (metres, NAVD88) |
Features Derived
After running make etl-elevation, the following features are added to the panel:
| Feature | Description |
|---|---|
elevation_m |
Elevation above sea level (metres) |
elevation_class |
Categorical: low (<100m), medium (100–500m), high (>500m) |
How It's Used
The bridgedeck ETL script src/bridgedeck/etl/elevation_clean.py reads this CSV
and produces data/interim/elevation/elevation_features.parquet — one row per bridge.
This file is provided pre-queried to avoid re-running 900k USGS API calls
(15-20 min with 20 concurrent workers). Collaborators can use it directly
by running make etl-elevation after downloading from HF.
Related Datasets
| Repo | Type | Description |
|---|---|---|
sweetapricity/bridgedeck-nbi |
Primary | National Bridge Inventory — structural features |
sweetapricity/bridgedeck-prism |
Primary | PRISM climate features |
sweetapricity/bridgedeck-noaa |
Primary | NOAA storm event counts |
sweetapricity/bridgedeck-nshm |
Primary | USGS seismic hazard |
sweetapricity/bridgedeck-salt |
Primary | USGS road salt tiers |
sweetapricity/bridgedeck-coastal |
Dependency | Natural Earth coastline reference |
sweetapricity/bridgedeck-elevation |
Dependency | This dataset — USGS elevation at bridge locations |
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