SS 2025

2025-07-30 15:57:48 +02:00
parent e49fcfac46
commit a639c34cee
273 changed files with 20151 additions and 0 deletions
@@ -0,0 +1,72 @@
+import rasterio
+import os
+import csv
+from rasterio.warp import transform_bounds
+from pyproj import Geod
+
+
+def extract_tiff_metadata(tiff_path, output_csv_path):
+    """
+    Extracts metadata from a TIFF file and writes it to a CSV file.
+
+    :param tiff_path: Path to the TIFF file
+    :param output_csv_path: Path to save the metadata CSV file
+    """
+    try:
+        with rasterio.open(tiff_path) as dataset:
+            pixel_size_x, pixel_size_y = dataset.res
+            crs = dataset.crs
+            geod = Geod(ellps="WGS84")
+
+            if crs.is_projected:
+                # Units are already linear (e.g., meters)
+                crs_unit = crs.linear_units
+                pixel_area = abs(pixel_size_x * pixel_size_y)
+                pixel_size_x_m = pixel_size_x
+                pixel_size_y_m = pixel_size_y
+            else:
+                # CRS is geographic (degrees), compute approximate linear size
+                bounds = dataset.bounds
+
+                # Approximate pixel size X in meters
+                lon1, lat1 = bounds.left, bounds.bottom
+                lon2, lat2 = bounds.left + pixel_size_x, bounds.bottom
+                distance_x, _, _ = geod.inv(lon1, lat1, lon2, lat2)
+
+                # Approximate pixel size Y in meters
+                lon3, lat3 = bounds.left, bounds.bottom
+                lon4, lat4 = bounds.left, bounds.bottom + pixel_size_y
+                distance_y, _, _ = geod.inv(lon3, lat3, lon4, lat4)
+
+                pixel_size_x_m = abs(distance_x)
+                pixel_size_y_m = abs(distance_y)
+                crs_unit = "meters"
+                pixel_area = pixel_size_x_m * pixel_size_y_m
+
+            meta_info = {
+                "Filename": os.path.basename(tiff_path),
+                "Width (pixels)": dataset.width,
+                "Height (pixels)": dataset.height,
+                "Number of Bands": dataset.count,
+                "Coordinate Reference System (CRS)": str(crs),
+                "Pixel Area": f"{pixel_area:.1f} {crs_unit}²",
+            }
+
+            # Write metadata to CSV file
+            with open(output_csv_path, mode='w', newline='') as csvfile:
+                writer = csv.writer(csvfile)
+                writer.writerow(["Key", "Value"])
+                for key, value in meta_info.items():
+                    writer.writerow([key, value])
+
+        print(f"Metadata written to {output_csv_path}")
+
+    except Exception as e:
+        print(f"Error: {e}")
+
+
+# Example usage
+if __name__ == "__main__":
+    tiff_file = "example.tif"          # Path to your TIFF file
+    output_file = "metadata_output.csv"  # Path to output CSV file
+    extract_tiff_metadata(tiff_file, output_file)