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create_mgrs_collection_db.py
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create_mgrs_collection_db.py
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import argparse
import os
import sqlite3
import numpy as np
from collections import Counter
from shapely.geometry import Polygon, MultiPolygon
from shapely.wkt import loads as wkt_loads
from shapely.wkb import loads as wkb_loads
from shapely import wkb
from shapely.ops import unary_union
from pyproj import Transformer
from osgeo import ogr
north_bound_polygon = Polygon(((-180, 84.5, 0),
(-180, 89.9, 0),
(180, 89.9, 0),
(180, 84.5, 0)))
south_bound_polygon = Polygon(((-180, -84, 0),
(-180, -89.9, 0),
(180, -89.9, 0),
(180, -84, 0)))
equator_bound_polygon = Polygon(((-180, -0.5, 0),
(-180, 0.5, 0),
(180, 0.5, 0),
(180, -0.5, 0)))
def _get_parser():
parser = argparse.ArgumentParser(
description='',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-mgrs_db',
type=str,
dest='mgrs_db',
help='JPL MGRS database sqlite')
parser.add_argument('-burst_id_db',
type=str,
dest='burst_id_db',
help='JPL burst_id_db sqlite')
parser.add_argument('-output',
type=str,
dest='output',
help='prefix output')
return parser
def utm_to_latlon(utm_epsg, utm_easting, utm_northing):
"""
Convert UTM coordinates to latitude and longitude using a given EPSG code.
Parameters:
-----------
utm_epsg : int or str
The EPSG code for the UTM zone in which the coordinates are provided.
utm_easting : float
The easting (X) value of the UTM coordinate.
utm_northing : float
The northing (Y) value of the UTM coordinate.
Returns:
--------
tuple (float, float)
A tuple containing the longitude and latitude values, respectively.
"""
# Create a pyproj transformer from the UTM projection to WGS84 (latitude/longitude)
transformer = Transformer.from_crs(f"EPSG:{utm_epsg}", "EPSG:4326")
# Transform the UTM coordinates to latitude and longitude.
lat, lon = transformer.transform(utm_easting, utm_northing)
return lon, lat
def latlon_to_utm(lat, lon, utm_epsg):
"""
Convert latitude and longitude to UTM coordinates using a given EPSG code.
Parameters:
-----------
lat : float
Latitude value.
lon : float
Longitude value.
utm_epsg : int or str
The EPSG code for the desired UTM zone for the output coordinates.
Returns:
--------
tuple (float, float)
A tuple containing the easting (X) and northing (Y) values of the UTM coordinate.
"""
# Initialize a transformer object from WGS84 to the specified UTM EPSG.
transformer = Transformer.from_crs("EPSG:4326", f"EPSG:{utm_epsg}")
# Transform the latitude and longitude to UTM coordinates.
utm_x, utm_y = transformer.transform(lat, lon)
return utm_x, utm_y
def transform_to_lower_precision(polygon, decimal_places=4):
"""
Transform the coordinates of a polygon to a lower precision.
Parameters:
-----------
polygon : shapely.geometry.Polygon
Input polygon whose coordinates need to be rounded.
decimal_places : int, optional
Number of decimal places to round each coordinate component to. Default is 4.
Returns:
--------
shapely.geometry.Polygon
A new polygon with rounded coordinates.
Note:
-----
This function assumes the polygon's coordinates are in 3D (i.e., x, y, z).
For 2D polygons, the code needs modification.
"""
# List comprehension to round each component of the coordinate
coords = [(round(x, decimal_places),
round(y, decimal_places),
round(z, decimal_places))
for x, y, z in list(polygon.exterior.coords)]
return Polygon(coords)
def get_mgrs_tile_group(mgrs_tile):
'''Get MGRS tile and return MGRS group id counted referring to equator.
Starting from equator, MGRSs in row (same latitude) have same mgrs_group_id.
Also, the MGRS tile collection will consists of two rows of the MGRS tiles.
The MGRS tiles in adjacent two rows have same group_2row.
Parameters:
-----------
mgrs_tile : str
MGRS tile representation.
Returns:
--------
int, int
The MGRS group ID and the secondary group value.
Notes:
------
Starting from the equator, MGRSs in the same row (same latitude) have the same mgrs_group_id.
In the northern hemisphere, mgrs_group_id starts from 1 and increases towards the Arctic pole.
In the southern hemisphere, it starts from -1 and decreases towards the Antarctic pole.
"""
'''
# MGRS 100,000-meter square identification letters
# I and O are omitted in the MGRS 100,000-meter square identification
# 6 deg x 8 deg
main_row_letter = 'NPQRSTUVWXCDEFGHJKLM'
# 100 kmx 100km
column_letters = 'ABCDEFGHJKLMNPQRSTUVWXYZ'
row_letters = 'ABCDEFGHJKLMNPQRSTUV'
# number of subtiles in each character in main_row_letter
# if mgrs is used.
# sub_row_num = [9, 10, 10, 11, 10, 10, 10, 10, 10, 15]
# if kml file is used.
sub_row_num = [9, 9, 9, 8, 9, 9, 9, 9, 9, 14]
# Define the number of rows per group
rows_per_group = 2
# Extract the UTM zone and 100,000-meter square identification
# from the MGRS tile
utm_zone = int(mgrs_tile[:2])
main_row_zone = str(mgrs_tile[2])
square_id = mgrs_tile[3:]
# Get the column and row index
main_row_index_north_south = main_row_letter.index(main_row_zone)
# if main_row_zone in 'NPQRSTUVWX'
if main_row_index_north_south < 10:
hemisphere = 'North'
main_row_index = main_row_index_north_south + 1
else:
hemisphere = 'South'
main_row_letter_rev = main_row_letter[::-1]
main_row_index = main_row_letter_rev.index(main_row_zone) + 1
row_letters_rep = row_letters * 10
if hemisphere == 'North':
if utm_zone % 2 == 1:
starting_row = row_letters.index('A')
else:
starting_row = row_letters.index('F')
row_rep_start = int(np.sum(sub_row_num[:main_row_index-1]))
if main_row_index-1 == 0:
row_rep_start = 0
row_letters_sub = row_letters_rep[row_rep_start + starting_row:]
else:
row_letters_rep_rev = row_letters_rep[::-1]
if utm_zone % 2 == 1:
starting_row = row_letters_rep_rev.index('V')
else:
starting_row = row_letters_rep_rev.index('E')
row_rep_start = int(np.sum(sub_row_num[:main_row_index-1]))
row_letters_sub = row_letters_rep_rev[row_rep_start + starting_row:]
sub_row_index = row_letters_sub.index(square_id[1])
# Calculate the group number
if hemisphere == 'North':
mgrs_group_id = (row_rep_start) + (sub_row_index) +1
group_2row = int(np.ceil(mgrs_group_id / rows_per_group))
else:
mgrs_group_id = -(row_rep_start) - (sub_row_index) -1
group_2row = mgrs_group_id // rows_per_group
return mgrs_group_id, group_2row
def read_polygons_from_jpl_burst_id_db(
sqlite_file,
table_name,
provided_multipolygonz,
relative_orbit_number,
orbit_pass):
"""
Reads polygons from an SQLite database and returns intersecting polygons
with a provided multipolygonz.
Parameters:
-----------
sqlite_file : str
Path to the SQLite database file.
table_name : str
Name of the table in the SQLite database.
provided_multipolygonz : Polygon
Polygon to check for intersection.
relative_orbit_number : int
Relative orbit number to filter the results.
orbit_pass : str
Orbit pass direction ('ASCENDING' or 'DESCENDING').
Returns:
--------
list, list, list, list, list
Intersecting polygons, and burst IDs for different subswaths.
"""
# Make sure the SQLite file path is absolute
absolute_sqlite_file = os.path.abspath(sqlite_file)
# Connect to the SQLite database
conn_burst = sqlite3.connect(absolute_sqlite_file)
cur_burst = conn_burst.cursor()
# Near the equator, the track number changes when the satellite is acending.
# dual_track_number_flag represents the flag whether we need to search DB with two
# track numbers.
dual_track_number_flag = False
if provided_multipolygonz.intersects(equator_bound_polygon) and \
orbit_pass == 'ASCENDING':
if relative_orbit_number == 1:
relative_orbit_number_second = 175
elif relative_orbit_number > 175:
relative_orbit_number_second = 1
else:
relative_orbit_number_second = relative_orbit_number - 1
dual_track_number_flag = True
# Prepare the query for filtering the polygons
if dual_track_number_flag:
conditions = f"""relative_orbit_number = {relative_orbit_number}
AND orbit_pass = '{orbit_pass}'
OR relative_orbit_number = {relative_orbit_number_second}"""
else:
conditions = f"""relative_orbit_number = {relative_orbit_number}
AND orbit_pass = '{orbit_pass}'"""
relative_orbit_number_second = relative_orbit_number
query = f"SELECT * FROM {table_name} WHERE {conditions}"
query_result_all = cur_burst.execute(query)
result = query_result_all.fetchall()
col_id = {column_desc[0]: i
for i, column_desc in enumerate(query_result_all.description)}
intersecting_polygons = []
burst_id_lists = {'IW1': [], 'IW2': [], 'IW3': []}
burst_jpl_list = []
for row in result:
polygon = wkb_loads(row[col_id["GEOMETRY"]])
if polygon.intersects(provided_multipolygonz):
burst_jpl_list.append(row[col_id['burst_id_jpl']])
intersecting_polygons.append(polygon)
subswath_name = row[col_id['subswath_name']]
if subswath_name in burst_id_lists:
burst_id_lists[subswath_name].append(row[col_id['burst_id']])
# Close the SQLite database connection
cur_burst.close()
conn_burst.close()
return (intersecting_polygons,
burst_id_lists['IW1'],
burst_id_lists['IW2'],
burst_id_lists['IW3'],
burst_jpl_list)
def read_mgrs_polygons_from_sqlite(sqlite_file,
table_name,
north_south='north'):
"""
Reads polygons from an SQLite database based on their location
in the northern or southern hemisphere.
Parameters:
-----------
sqlite_file : str
Path to the SQLite database file.
table_name : str
Name of the table in the SQLite database containing polygons.
north_south : str
Specifies whether to retrieve polygons from the 'north' or 'south'. Defaults to 'north'.
Returns:
--------
list, list
List of intersecting polygons and associated MGRS list.
"""
# Connect to the SQLite database
conn = sqlite3.connect(os.path.abspath(sqlite_file))
cur = conn.cursor()
# Execute a query to get the geometry and name from the 'polygons' table
cur.execute(f"SELECT mgrs_tile, GEOMETRY FROM {table_name}")
intersecting_polygons = []
mgrs_list = []
# Iterate over the rows in the query result
for row in cur:
name = row[0]
# Parse the geometry from the Well-Known Binary (WKB) format
geometry = ogr.CreateGeometryFromWkb(bytes(row[1]))
centroid_y = geometry.Centroid().GetY()
# Check hemisphere condition
if (north_south == 'north' and centroid_y >= 0) or \
(north_south == 'south' and centroid_y < 0):
mgrs_list.append(name)
intersecting_polygons.append(geometry)
# Close the SQLite connection
conn.close()
return intersecting_polygons, mgrs_list
def run(args):
'''
1) Loop starts from track number 1 to track number 175
2) set processing order Ascending in North Hemisphere -> Descending in North Hemisphere->
Descending in South Hemisphere -> Ascending in north hemisphere -> next track.
3) Find MGRS tiles in north-hemisphere first and find sort them using ID.
two adjacent MGRS tiles in vertical direction have the same ID.
--------------------
| 2 | 2 | 2 | 2 |
--------------------
| 1 | 1 | 1 | 1 |
--------------------
| 1 | 1 | 1 | 1 |
-------------------- equator
| -1 | -1 | -1 | -1 |
--------------------
| -1 | -1 | -1 | -1 |
--------------------
4) First, use the MGRS group ID 1 and define the bounds in y directions.
5) Read valid bursts near equator and define bounds in x directions.
6) Find all bursts within x and y bounds
7) Excludes MGRS tiles from MGRS tile collections not overlapped with all bursts.
8) Update valid bursts for next loop and re-process for next MGRS tile ID.
'''
output_prefix = args.output
mgrs_polygon_sqlite_file = args.mgrs_db
mgrs_collection_db_path = f'{output_prefix}.sqlite'
if os.path.isfile(mgrs_collection_db_path):
os.remove(mgrs_collection_db_path)
# Connect to the JPL burst id database sqlite
absolute_burst_sqlite_file = args.burst_id_db
conn = sqlite3.connect(absolute_burst_sqlite_file)
burst_id_cur = conn.cursor()
query_result_all = burst_id_cur.execute('SELECT * FROM burst_id_map')
burst_fields_name = {}
# Read field names from database.
for i, column_desc in enumerate(query_result_all.description):
burst_fields_name[column_desc[0]] = i
north_polygon, north_mgrs_list = read_mgrs_polygons_from_sqlite(
mgrs_polygon_sqlite_file,
table_name='MGRS_tile',
north_south='north')
south_polygon, south_mgrs_list = read_mgrs_polygons_from_sqlite(
mgrs_polygon_sqlite_file,
table_name='MGRS_tile',
north_south='south')
group_list_north = []
group_name_north = []
# 'group_list' consists of integer group number.
for mgrs_cand in north_mgrs_list:
# MGRS tiles in two adjacent rows are assgined to same group.
_, group = get_mgrs_tile_group(mgrs_cand)
group_list_north.append(group)
group_name_north.append(mgrs_cand[:5])
# group_list_north, south_polygon, south_mgrs_list
group_list_south = []
group_name_south = []
for mgrs_cand in south_mgrs_list:
_, group = get_mgrs_tile_group(mgrs_cand)
group_list_south.append(group)
group_name_south.append(mgrs_cand[:5])
# Connect to the MGRS tile collection database (SQLite)
mgrs_db_conn = sqlite3.connect(mgrs_collection_db_path)
mgrs_db_conn.enable_load_extension(True)
mgrs_db_cursor = mgrs_db_conn.cursor()
mgrs_db_cursor.execute("SELECT load_extension('mod_spatialite');")
mgrs_db_cursor.execute("SELECT InitSpatialMetaData(1);")
# Create the 'mgrs_burst_db' table
mgrs_db_cursor.execute('''
CREATE TABLE IF NOT EXISTS mgrs_burst_db (
id INTEGER PRIMARY KEY,
mgrs_set_id TEXT,
relative_orbit_number INTEGER,
bursts TEXT,
number_of_bursts INTEGER,
mgrs_tiles TEXT,
number_of_mgrs_tiles INTEGER,
orbit_pass TEXT,
EPSG INTEGER,
xmin INTEGER,
xmax INTEGER,
ymin INTEGER,
ymax INTEGER
);
''')
mgrs_db_cursor.execute(
'''
SELECT AddGeometryColumn('mgrs_burst_db', 'geometry', 4326, 'MULTIPOLYGON', 3)
''')
mgrs_db_cursor.execute(
"SELECT CreateSpatialIndex('mgrs_burst_db', 'geometry');")
# Loop from track number 1 to track number 175
for track_number in range(1, 176):
mgrs_set_number = 1
orbit_passes = ['ASCENDING', 'DESCENDING', 'DESCENDING', 'ASCENDING']
group_lists = [group_list_north,
group_list_north,
group_list_south,
group_list_south]
for orbit_pass, group_list in zip(orbit_passes, group_lists):
# Search bursts with track number and orbit pass
query = f"""
SELECT *
FROM burst_id_map
WHERE relative_orbit_number = {track_number}
AND orbit_pass = '{orbit_pass}'
"""
burst_id_cur.execute(query)
burst_id_query_output = burst_id_cur.fetchall()
# Find first valid bursts
for jjjind in range(0, 100):
row_start = burst_id_query_output[jjjind]
geometry_valid = wkb_loads(row_start[burst_fields_name['GEOMETRY']])
# Bursts in high latitude are not used for MGRS tile collection.
if north_bound_polygon.contains(geometry_valid) or \
north_bound_polygon.intersects(geometry_valid):
print('skip', row_start[burst_fields_name['burst_id_jpl']])
else:
break
# Read burst id
burst_id_start = row_start[burst_fields_name['burst_id']]
burst_utm_zone = int(str(row_start[burst_fields_name['EPSG']])[-2:])
# Unique MGRS tile id
unique_group_list = list(set(group_list))
# mgrs group id increase from south pole to north pole.
# in descending orbit, the unique group list needs to be revsersed.
if orbit_pass == 'DESCENDING':
unique_group_list.reverse()
# Unique_group_list consists of the unique MGRS tile id starting from
# equator. Two rows in MGRS tiles have same ID.
for unique_group_number in unique_group_list:
# Antarctica is excluded.
if unique_group_number > -44:
print('UNIQUE GROUP ID:', unique_group_number)
print('Burst track number:', track_number)
print('Orbit pass:', orbit_pass)
union_polygon = ogr.Geometry(ogr.wkbPolygon)
# Read polygon from MGRS tiles having unique MGRS ID.
for group_ind, group_number in enumerate(group_list):
# Group number has duplicated IDs in adjacent MGRS tiles.
if group_number == unique_group_number:
if group_number > 0:
polygon_single = north_polygon[group_ind]
else:
polygon_single = south_polygon[group_ind]
union_polygon = union_polygon.Union(polygon_single)
mgrs_poly = wkt_loads(union_polygon.ExportToWkt())
mgrs_poly0 = mgrs_poly
# burst bouding box
burst_geometry = wkb_loads(row_start[burst_fields_name['GEOMETRY']])
burst_id_in_track = row_start[burst_fields_name['burst_id']]
str_subswath = row_start[burst_fields_name['subswath_name']]
burst_id_jpl = row_start[burst_fields_name['burst_id_jpl']]
orbit_pass = row_start[burst_fields_name['orbit_pass']]
burst_center_lon, burst_center_lat = burst_geometry.centroid.x, burst_geometry.centroid.y
burst_hemisphere = 'north' if burst_center_lat >= 0 else 'south'
epsg_code = 32600 + burst_utm_zone if burst_hemisphere == 'north' else 32700 + burst_utm_zone
intersect_x, intersect_y = latlon_to_utm(burst_center_lat,
burst_center_lon,
epsg_code)
# Intentionally add buffer to get adjacent bursts
if orbit_pass == 'ASCENDING':
burst_xmin = intersect_x - 530000
burst_xmax = intersect_x + 700000
else:
burst_xmin = intersect_x - 700000
burst_xmax = intersect_x + 530000
burst_xmin, _ = utm_to_latlon(epsg_code,
burst_xmin,
intersect_y)
burst_xmax, _= utm_to_latlon(epsg_code,
burst_xmax,
intersect_y)
# Check if burst covers antimeridian
if (burst_xmin - burst_xmax > 180):
burst_poly_coords = [Polygon(((burst_xmin, -84, 0),
(burst_xmin, 84.7, 0),
(180, 84.7, 0),
(180, -84, 0))),
Polygon(((-180, -84, 0),
(-180, 80.7, 0),
(burst_xmax, 80.7, 0),
(burst_xmax, -84, 0)))]
else:
burst_poly_coords = [Polygon(((burst_xmin, -84, 0),
(burst_xmin, 84.7, 0),
(burst_xmax, 84.7, 0),
(burst_xmax, -84, 0)))]
burst_multi_polygon = MultiPolygon(burst_poly_coords)
if (unique_group_number < 30) and (
unique_group_number > -30):
# By finding intersecting areas between polygon computed from bursts and
# unique MGRS group, extract the tiles MGRS within bounds in x direction.
# y bounds are computed from unique MGRS tile group and x bounds are determined
# from bursts.
mgrs_poly = mgrs_poly.intersection(burst_multi_polygon)
# Find intersecting bursts from all bursts along the specific track number
intersecting_burst, burst_ind_iw1, _, _, burst_jpl_id = \
read_polygons_from_jpl_burst_id_db(
absolute_burst_sqlite_file, 'burst_id_map',
mgrs_poly,
relative_orbit_number=track_number,
orbit_pass=orbit_pass)
if len(burst_jpl_id) == 0:
print('here: burst_jpl_id is empty')
intersecting_burst, burst_ind_iw1, _, _, burst_jpl_id = \
read_polygons_from_jpl_burst_id_db(
absolute_burst_sqlite_file, 'burst_id_map',
mgrs_poly0,
relative_orbit_number=track_number,
orbit_pass=orbit_pass)
union_burst_polygon = unary_union(intersecting_burst)
if unique_group_number > 0:
target_polygon = north_polygon
target_mgrs_list = north_mgrs_list
else:
target_polygon = south_polygon
target_mgrs_list = south_mgrs_list
final_mgrs_list = []
final_mgrs_polygon_list = []
# Find intersecting MGRS tiles with burst
for group_ind, group_number in enumerate(group_list):
if group_number == unique_group_number:
single_mgrs = wkt_loads(target_polygon[group_ind].ExportToWkt())
# Excludes the MGRS tiles not overlapped with the polygon of burts
if union_burst_polygon.intersects(single_mgrs) or \
union_burst_polygon.contains(single_mgrs):
final_mgrs_list.append(target_mgrs_list[group_ind])
final_mgrs_polygon_list.append(single_mgrs)
final_mgrs_polygon = unary_union(final_mgrs_polygon_list).simplify(0.05)
if final_mgrs_polygon.geom_type == 'Polygon':
final_mgrs_polygon = MultiPolygon([final_mgrs_polygon])
print('selected_mgrs : ', final_mgrs_list)
print('jpl burst id', burst_jpl_id)
print('number of bursts', len(burst_jpl_id))
# Update the valid first burst for the next loop
for row_sample in burst_id_query_output:
burst_id_in_track = row_sample[burst_fields_name['burst_id']]
str_subswath = row_sample[burst_fields_name['subswath_name']]
if (burst_id_in_track == np.max(burst_ind_iw1) + 1) and str_subswath == 'IW1':
burst_utm_zone = int(final_mgrs_list[-1][:2])
row_start = row_sample
break
mgrs_set_id = f'MS_{track_number}_{mgrs_set_number}'
# transform coordinates to lower precision coordinates
newfinal_mgrs_polygons = [transform_to_lower_precision(polygon_sample) for polygon_sample in final_mgrs_polygon]
new_multipolygonz = MultiPolygon(newfinal_mgrs_polygons)
geom = new_multipolygonz.wkt
geom_wkb = wkb.dumps(new_multipolygonz)
bursts = str(burst_jpl_id)
number_of_bursts = len(burst_jpl_id)
mgrs_tiles = str(final_mgrs_list)
number_of_mgrs_tiles = len(final_mgrs_list)
relative_orbit_number = track_number
if burst_hemisphere == 'north':
ppp = 32600
else:
ppp = 32700
epsgcodes_list = [ int(mgrs_cand[:2]) + ppp
for mgrs_cand in final_mgrs_list]
# Find majority from epsg list and assign it to MGRS collection
major_epsg, _ = Counter(epsgcodes_list).most_common()[0]
lon_min_ext, lat_min_ext, lon_max_ext, lat_max_ext = \
final_mgrs_polygon.bounds
x_min_ext, y_min_ext = latlon_to_utm(lat_min_ext,
lon_min_ext,
major_epsg)
x_max_ext, y_max_ext = latlon_to_utm(lat_max_ext,
lon_max_ext,
major_epsg)
mgrs_db_cursor.execute(
"""
INSERT INTO mgrs_burst_db
(mgrs_set_id,
geometry,
bursts,
number_of_bursts,
mgrs_tiles,
number_of_mgrs_tiles,
relative_orbit_number,
orbit_pass,
EPSG,
xmin,
xmax,
ymin,
ymax
) VALUES (?, GeomFromText(?, 4326), ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(mgrs_set_id, geom,
bursts, number_of_bursts,
mgrs_tiles, number_of_mgrs_tiles,
relative_orbit_number,
orbit_pass, major_epsg,
int(x_min_ext), int(x_max_ext), int(y_min_ext), int(y_max_ext)
))
mgrs_set_number += 1
print(" ")
print(" ")
# Commit the changes and close the cursor
mgrs_db_conn.commit()
mgrs_db_cursor.close()
def main():
db_parser = _get_parser()
args = db_parser.parse_args()
run(args)
if __name__ == '__main__':
main()