# GeoIntel Kempen — Raster Operations Specification v1.0

Raster operations are implemented with Rasterio, GDAL-compatible tooling, NumPy and optional OpenCV.

## Global requirements

- Never assume band order without metadata or explicit user selection.
- Preserve georeferencing for all derived rasters.
- Use Cloud Optimized GeoTIFF when generating large outputs if practical.
- Store previews separately from analytical rasters.
- Keep nodata values and masks explicit.

## Required V1 operations

## 1. Metadata extraction

Input: raster file.

Output:

```json
{
  "driver": "GTiff",
  "width": 4096,
  "height": 4096,
  "band_count": 4,
  "crs": "EPSG:31370",
  "bounds": [xmin, ymin, xmax, ymax],
  "resolution": [0.25, 0.25],
  "dtype": ["uint8"],
  "nodata": [null],
  "transform": [..]
}
```

## 2. Band statistics

For each band:

- min
- max
- mean
- std
- nodata ratio
- histogram bins
- nodata count
- valid pixel count
- dtype
- optional histogram bins approximation

## 3. Preview generation

Generate browser-friendly previews:

- PNG preview for full raster or overview.
- Optional tile pyramid later.
- Support contrast stretch.

## 4. Clip by polygon

Input:

- raster dataset
- area polygon

Output:

- clipped GeoTIFF
- metadata
- preview

## 5. Reproject

Input:

- raster dataset
- target CRS
- target CRS default: `EPSG:31370` when not explicitly set in request
- resampling method: nearest, bilinear, cubic

Output:

- reprojected GeoTIFF

Failure behavior:

- if rasterio is unavailable, return dependency-aware error (`RASTER_PROCESSING_UNAVAILABLE`)
- if source CRS is missing, return invalid CRS error

## 6. Tile generation for AI

Input:

- raster dataset
- tile size, default 512 (configured in runtime defaults)
- overlap, default 64
- optional area polygon

Output:

```json
{
  "tile_set_id": "uuid",
  "source_dataset_id": "uuid",
  "source_raster_id": "uuid",
  "bounds": [xmin, ymin, xmax, ymax],
  "tile_size": 512,
  "overlap": 64,
  "parameters": {},
  "count": 16,
  "tile_paths": ["storage/tiles/.../tile_0001.tif"],
  "tiles": [
    {
      "path": "storage/tiles/.../tile_0001.tif",
      "pixel_window": [x, y, width, height],
      "bounds": [xmin, ymin, xmax, ymax],
      "transform": []
    }
  ],
  "ai_inference": false,
  "tile_server": null
}

```

Failure behavior:

- if rasterio is unavailable: dependency-aware error
- if no raster tiles are generated: empty-result failure

## 7. Index calculations

### NDVI

Required inputs:

- red band index
- NIR band index
- output name (optional)
- formula: `(nir - red) / (nir + red)`
- nodata/NaN handling: invalid pixels and division-by-zero values are written as `NaN`
- output dtype: `float32`
- provenance fields:
  - `source_dataset_id`
  - `operation`
  - `band_mapping`
  - `formula`
  - `output_dtype`
  - `nodata_strategy`
  - `value_range_note`
- failure behavior:
  - band indices must be positive integers
  - band indices must exist in source dataset
  - `RASTER_PROCESSING_UNAVAILABLE` when rasterio/numpy missing

Formula:

```text
NDVI = (NIR - Red) / (NIR + Red)
```

### NDWI

Required inputs:

- NIR band index
- green band index
- output name (optional)
- formula: `(nir - green) / (nir + green)`
- same provenance strategy as NDVI

Formula:

```text
NDWI = (NIR - Green) / (NIR + Green)
```

### NDBI

Required inputs:

- SWIR band index
- NIR band index
- output name (optional)
- formula: `(swir - nir) / (swir + nir)`
- same provenance strategy as NDVI

Formula:

```text
NDBI = (SWIR - NIR) / (SWIR + NIR)
```

Derived metadata contract:

- `operation`: one of `raster.ndvi`, `raster.ndwi`, `raster.ndbi`
- `source_dataset_id`
- `band_mapping`
- `formula`
- `output_dtype`
- `nodata_strategy`
- `value_range_note`
- `created_at`
- `output_dataset_id`
- `path`

## 8. Threshold to mask

Input:

- raster/index
- threshold operator
- threshold value

Output:

- binary mask raster
- optional vector polygons

## Storage output policy

Derived rasters go to:

```text
storage/rasters/derived/{project_id}/{dataset_id}/
```

Tiles go to:

```text
storage/tiles/{project_id}/{dataset_id}/{tile_set_id}/
```

Previews go to:

```text
storage/previews/{project_id}/{dataset_id}/
```

## API shape

```http
GET /datasets/{id}/raster/metadata
POST /datasets/{id}/raster/clip
POST /datasets/{id}/raster/reproject
POST /datasets/{id}/raster/tile
POST /datasets/{id}/raster/indices/ndvi
POST /datasets/{id}/raster/indices/ndwi
POST /datasets/{id}/raster/indices/ndbi
POST /datasets/{id}/raster/threshold
```

## V1 target

V1 must implement metadata, preview, clip and tile generation. NDVI/NDWI/NDBI are implemented on local raster files with explicit band selection.