# Silt Content (%) (0-5cm) (`SLTPPT_M_sl1_1km_ll`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: Silt Content (%) (0-5cm)
- **Slug**: `SLTPPT_M_sl1_1km_ll`
- **Units**: `% (percent by weight)`
- **Spatial Extent**: UL(83.9991672, -180.0) to LR(-56.0008328, 180.0)
- **Summary**: Percentage of **silt-sized particles (0.002–0.05 mm)** in the soil by weight. Silt content is a key component of soil texture and strongly influences moisture retention, permeability, capillary transport, erosion susceptibility, and soil aeration behavior.
- **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`)


# SLTPPT_M_sl1_1km_ll.tif — Technical Specification and Citation

## Parameter Name
- **SLTPPT**  
- **Definition:** Silt Content (Weight Percentage)

## Description
Percentage of **silt-sized particles (0.002–0.05 mm)** in the soil by weight. Silt content is a key component of soil texture and strongly influences moisture retention, permeability, capillary transport, erosion susceptibility, and soil aeration behavior.

## Units
- **% (percent by weight)**  
  - Range: **0–100**

## Depth Level
- **sl1 (Soil Layer 1)**  
- Depth interval: **0–5 cm**

## Data Source
- **ISRIC SoilGrids**
- Based on:
  - WoSIS (World Soil Information Service)  
  - Machine learning models (e.g., Random Forest)

## Spatial Characteristics
- **Coverage:** Global (typically excludes Antarctica)  
- **Resolution:** 1 km  
- **Coordinate System:** WGS84 (EPSG:4326)  
- **Grid Type:** Latitude/Longitude (ll)

## File Naming Convention
`SLTPPT_M_sl1_1km_ll.tif`

### Components
- **SLTPPT** = Variable (Silt content, %)  
- **M** = Mean prediction (also available: Q05, Q95 for uncertainty)  
- **sl1** = Depth layer (0–5 cm)  
- **1km** = Spatial resolution  
- **ll** = Geographic coordinate grid (latitude/longitude)  

## ISRIC Metadata Alignment
- **Variable Name:** Silt content in %  
- **Attribute Title:** Silt content (in %) at depth 0.00 m  
- **Range Domain:** 0 to 100  

## Typical Value Range
- **0 to 100 %**

| Value | Interpretation |
|------|--------------|
| 0–10% | Very low silt content |
| 10–25% | Sandy or coarse-textured soils |
| 25–50% | Loamy soils |
| 50–70% | Silt-rich soils |
| >70% | Highly silty soils |

## Important Clarification
- **0–5 cm = depth interval (sl1)**  
- **0–100 = actual raster value range (%)**  
- Values represent **weight percentage**, not volume percentage  

## Recommended Citation

### Primary Scientific 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  

### Example Usage Citation
> Silt content data (SLTPPT, 0–5 cm) obtained from ISRIC SoilGrids (1 km resolution).

## Notes for Advanced Use
- Moderate-to-high silt content generally increases:
  - Capillary moisture transport  
  - Erosion susceptibility  
  - Moisture persistence  
- Moderate silt content may support:
  - Balanced drainage conditions  
  - Intermediate permeability  
- Critical for:
  - Soil resistivity modeling  
  - Hydrologic and drainage analysis  
  - Corrosion modeling (moisture persistence and oxygen diffusion behavior)  
  - Agricultural and geotechnical interpretation  

---

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```bash
curl -X POST "https://secure.engineeringdirector.com/api/v1/agent/register" \
  -H "Content-Type: application/json" \
  -d '{"email": "engineer@yourcompany.com", "first_name": "Jane", "last_name": "Doe"}'
```

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```bash
curl -s "https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query?latitude={LAT}&longitude={LON}&token=iso9223_YOUR_VERIFIED_KEY"
```

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