vendor-utils

docs/transformation.md

```markdown

Data Transformation

Description: Transform the downloaded images as required, including reprojection, clipping, and converting data formats to meet specific project needs.

• Input: Downloaded TIFF file, target CRS, bounding box for clipping
• Expected Output: Geospatial data transformed to the target CRS or clipped to a specified area

Code Snippet:

```python import rasterio from rasterio.warp import calculate_default_transform, reproject, Resampling

Open the TIFF file and set target CRS

with rasterio.open(“downloaded_images/image.tif”) as src: transform, width, height = calculate_default_transform( src.crs, ‘EPSG:4326’, src.width, src.height, *src.bounds ) kwargs = src.meta.copy() kwargs.update({ ‘crs’: ‘EPSG:4326’, ‘transform’: transform, ‘width’: width, ‘height’: height })

# Reproject and save the output
with rasterio.open("reprojected_image.tif", 'w', **kwargs) as dst:
    for i in range(1, src.count + 1):
        reproject(
            source=rasterio.band(src, i),
            destination=rasterio.band(dst, i),
            src_transform=src.transform,
            src_crs=src.crs,
            dst_transform=transform,
            dst_crs='EPSG:4326',
            resampling=Resampling.nearest
        ) print("Reprojection completed!")