# Organic Carbon Density (kg/m³) (100-200cm) (`OCDENS_M_sl7_1km_ll`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: Organic Carbon Density (kg/m³) (100-200cm)
- **Slug**: `OCDENS_M_sl7_1km_ll`
- **Units**: `kg/m³`
- **Spatial Extent**: UL(83.9991672, -180.0) to LR(-56.0008328, 180.0)
- **Summary**: Organic Carbon Density represents the estimated mass of soil organic carbon stored within a given soil volume and depth interval.
- **Included in Flagship Map Package**: `Global_ISO9223_2020_2024_LE_V4` (`GET https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query`)

### Color Table & Value Breaks
- `(0.0, (255.0, 248.0, 220.0))`
- `(2.5, (254.0, 245.4, 215.9))`
- `(5.0, (253.0, 242.8, 211.8))`
- `(7.5, (252.0, 240.2, 207.7))`
- `(10.0, (251.0, 237.6, 203.6))`
- `(12.5, (250.0, 235.0, 199.5))`
- `(15.0, (249.0, 232.4, 195.4))`
- `(17.5, (248.0, 229.8, 191.3))`
- `(20.0, (247.0, 227.2, 187.2))`
- `(22.5, (246.0, 224.6, 183.1))`
- `(25.0, (245.0, 222.0, 179.0))`
- `(25.0, (245.0, 222.0, 179.0))`

# OCDENS_M_sl7_1km_ll.tif — Technical Specification and Citation

## Parameter Name
- **OCDENS**
- **Definition:** Organic Carbon Density

## Description

This dataset represents the modeled organic carbon density of soil within the depth interval corresponding to:
- Soil Layer 7 (100–200 cm).

Organic Carbon Density represents the estimated mass of soil organic carbon stored within a given soil volume and depth interval.

The raster is derived from:
- ISRIC SoilGrids datasets,
- global soil profile observations,
- and machine learning soil property estimation workflows.

Organic carbon density is an important parameter influencing:
- soil fertility,
- microbial activity,
- soil resistivity,
- moisture retention,
- oxygen diffusion,
- and soil corrosion environments.

Higher organic carbon density generally indicates:
- increased biologic activity,
- increased moisture persistence,
- lower soil aeration,
- and potentially more aggressive anaerobic corrosion environments.

Deep organic carbon layers may also indicate:
- historic wetland conditions,
- buried organics,
- peat influence,
- or long-term soil accumulation environments.

## Units
- **kg/m³**
  - kilograms of organic carbon per cubic meter of soil

## Depth Level
- **sl7 (Soil Layer 7)**
- Depth interval:
  - **100–200 cm**

## Data Source
- **ISRIC SoilGrids**
- Based on:
  - WoSIS (World Soil Information Service)
  - Global soil profile observations
  - Machine learning prediction frameworks
  - Environmental covariates
  - Random Forest methodologies

## Modeling Methodology

The raster was generated using:
- global soil profile observations,
- machine learning interpolation,
- environmental predictor variables,
- and digital soil mapping methodologies.

Organic carbon density is estimated from:
- organic carbon concentration,
- bulk density,
- soil depth intervals,
- and modeled soil physical properties.

The dataset represents modeled subsurface organic carbon storage at global scale.

## Spatial Characteristics

| Property | Value |
|---|---|
| Coverage | Global (typically excludes Antarctica) |
| Resolution | 1 km |
| Coordinate System | WGS84 (EPSG:4326) |
| Grid Type | Latitude/Longitude |
| Depth Layer | 100–200 cm |

## File Naming Convention

`OCDENS_M_sl7_1km_ll.tif`

### Components
- **OCDENS** = Organic Carbon Density
- **M** = Mean prediction
- **sl7** = Soil Layer 7 (100–200 cm)
- **1km** = Spatial resolution
- **ll** = Latitude/Longitude geographic grid

## ISRIC Metadata Alignment

| Attribute | Description |
|---|---|
| Variable Name | Organic Carbon Density |
| Units | kg/m³ |
| Depth Interval | 100–200 cm |
| Dataset Source | ISRIC SoilGrids |

## Typical Value Interpretation

| Organic Carbon Density (kg/m³) | Interpretation |
|---|---|
| 0–2 | Very low organic carbon |
| 2–5 | Low organic carbon |
| 5–10 | Moderate organic carbon |
| 10–20 | High organic carbon |
| >20 | Very high organic carbon / organic-rich soils |

## Soil and Corrosion Relevance

Organic carbon density strongly influences:
- microbial activity,
- oxygen depletion,
- sulfate reduction,
- soil moisture persistence,
- and electrochemical soil behavior.

Higher organic carbon soils may:
- support anaerobic microbial environments,
- increase sulfide production,
- lower oxidation potential,
- and promote microbiologically influenced corrosion (MIC).

Deep organic-rich soils are often associated with:
- wetlands,
- peat deposits,
- low-drainage environments,
- and highly reducing soil conditions.

Lower organic carbon soils generally:
- exhibit greater aeration,
- faster drainage,
- and reduced biologic corrosion potential.

## Environmental Relevance

This raster may be used in:
- carbon storage estimation,
- soil ecology analysis,
- wetland characterization,
- corrosion risk modeling,
- hydrologic studies,
- and environmental geochemistry.

## Typical Soil Relationships

| Soil Type | Typical Organic Carbon Density |
|---|---|
| Sandy soils | Low |
| Loamy soils | Moderate |
| Clay-rich soils | Moderate to high |
| Organic soils / peat | Very high |

---

# Important Clarification

This dataset represents:
- modeled organic carbon density,

and not:
- instantaneous biologic activity,
- direct microbial populations,
- or measured carbon chemistry at individual sites.

Localized conditions may vary significantly due to:
- land use,
- drainage,
- agricultural activity,
- climate variability,
- vegetation,
- and groundwater conditions.

The raster is optimized for:
- regional and global environmental interpretation.

Site-specific engineering applications may require:
- direct soil sampling,
- laboratory carbon analysis,
- or field validation.

---


# Recommended Citations

## Primary Project Citation

> Mazzella, J., Hayden, T., & Engineering Director, Inc./AtmosphericIQ LLC (2025).  
> *Global Soil Organic Carbon and Corrosion Environment Modeling Framework.*  
> Engineering Director, Inc.

---

## Supporting Soil Dataset Citation

> Poggio, L., de Sousa, L.M., Batjes, N.H., et al. (2021).  
> *SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty.*  
> SOIL, 7, 217–240.  
> https://doi.org/10.5194/soil-7-217-2021

---

## Data Citation

> ISRIC – World Soil Information (2020).  
> *SoilGrids250m: Global gridded soil information.*  
> https://soilgrids.org

---

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