A simple Python tool for converting geographic coordinates into MODIS (Moderate-Resolution Imaging Spectroradiometer) tile numbers.
Project description
modis_sinusoidal_tile_converter
A simple Python tool for converting geographic coordinates system into MODIS (Moderate-Resolution Imaging Spectroradiometer) tile coordinates system.
Introduction
MODIS sensor, some data uses this projection method
Conventional coordinate system parameter explanation:
-
GCS: Geographic Coordinate System, a spherical coordinate system representing the position of a point on the ground in latitude and longitude, (lat, lon), with lat representing the north-south direction and lon representing the east-west direction.
-
PCS: Projected Coordinate System, a coordinate system representing the position of a point on the ground usually in meters, (x, y), with x representing the east-west direction and y representing the north-south direction.
Parameters of MODIS Sinusoidal Projection:
-
ICSTile: Tile/Image Coordinates System, a tiling/image coordinate system represented by tile numbers:
- Vertical tile number (vertical_tile), with values ranging from 0 to 17;
- Horizontal tile number (horizontal_tile), with values ranging from 0 to 35;
- Vertical line number (line), with values ranging from 1199.5(1km)/2399.5(500m);
- Horizontal column number (sample), with values ranging from -0.5 to 1199.5(1km)/2399.5(500m);
-
ICSGeo: Geographic Tile/Image Coordinate System, a tiling/image coordinate system represented by latitude and longitude:
- Latitude (lat_tile), with values ranging from -90 to 90;
- Longitude (lon_tile), with values ranging from -180 to 180;
Note:
- The pixel center coordinates at the top left corner of the tile are (0.0, 0.0), and the top left corner coordinates of the pixel are (-0.5, -0.5).
- Failure in high latitude regions.
Install
# Run in the console
pip install modis_sinusoidal_tile_converter
Usage
Open python, and some examples
Coordinates Convert:
>>> from modis_sinusoidal_tile_converter import Sinusoidal
>>> Sinusoidal.GCS2PCS(50.0, 93.34342961162473)
(6671703.118599138, 5559752.598832616)
>>> Sinusoidal.PCS2GCS(6671703.118599138, 5559752.598832616)
(50.0, 93.34342961162473)
>>> Sinusoidal.GCS2ICSTile(50.0, 93.34342961162473)
(4, 24, -0.5, -0.5)
>>> Sinusoidal.ICSTile2GCS(4, 24, -0.5, -0.5)
(50.0, 93.34342961162473)
File Format Convert:
# write to sinusoidal tiff file
>>> import numpy as np
>>> from modis_sinusoidal_tile_converter.convert import array2tiff
>>> array2tiff(np.zeros((1200, 1200), dtype=np.uint16), "h26v05.tiff", hv="h26v06", grid="1km")
Resources
MODIS_Sinusoidal_Tile_Grid_Corner_Coordinates.csv
How to get this file?
## the pattern “**” will match any files and zero or more directories,
# subdirectories and symbolic links to directories
python scripts\get_corner_coordinates_of_modis_sinusoidal_tile.py **/*.hdf
References
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