117 lines
4.6 KiB
Python
117 lines
4.6 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Downloads the actual active fire csv from
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https://firms.modaps.eosdis.nasa.gov/data/active_fire/suomi-npp-viirs-c2/csv/SUOMI_VIIRS_C2_Europe_24h.csv
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and displays it on a map.
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Description of data displayed:
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https://www.earthdata.nasa.gov/learn/find-data/near-real-time/firms/vnp14imgtdlnrt#ed-viirs-375m-attributes
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@author: Cybermancer
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"""
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import sys
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import argparse
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import re
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import os.path
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import requests
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import datetime as dt
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import pandas as pd
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import folium
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import webbrowser
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from geopy.geocoders import Nominatim
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from geopy.extra.rate_limiter import RateLimiter
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import pickle
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def fileFormat(args_inputfile):
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pattern = re.compile(r'local_VIIRS_data-\d\d\d\d-\d\d-\d\d.csv')
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if not re.match(pattern, args_inputfile):
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raise argparse.ArgumentTypeError
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return args_inputfile
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def getAdress(data_frame, date):
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address_file = 'adressdump-' + date
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if not os.path.exists(address_file):
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address_list = []
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geolocator = Nominatim(user_agent='blub browser')
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reverse = RateLimiter(geolocator.reverse, min_delay_seconds=5)
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for r in data_frame.iterrows():
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location = (r[1]['latitude'], r[1]['longitude'])
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address_list.append(reverse(location, language='en'))
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with open(address_file, 'wb') as file:
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pickle.dump(address_list, file)
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else:
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with open(address_file, 'rb') as file:
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address_list = pickle.load(file)
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return address_list
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def main(args):
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date = str(dt.date.today())
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bounding = [44.184598, 52.3797464, 22.137059, 40.2275801]
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src = ('https://gibs.earthdata.nasa.gov/wmts-webmerc/VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1/' +
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'default/{time}/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg')
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if args.inputfile:
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local_file = args.inputfile
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date = re.search(r'\d{4}-\d\d-\d\d', args.inputfile).group(0)
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else:
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local_file = 'local_VIIRS_data-' + date + '.csv'
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if not os.path.exists(local_file):
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try:
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remote_url = r'https://firms.modaps.eosdis.nasa.gov/data/active_fire/suomi-npp-viirs-c2/csv/SUOMI_VIIRS_C2_Europe_24h.csv'
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data = requests.get(remote_url, allow_redirects=True)
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with open(local_file, 'wb') as file:
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file.write(data.content)
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except:
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SystemExit(2)
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html_file = local_file.split('.')[0] + '.html'
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data_frame = pd.read_csv(local_file)
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data_frame = data_frame.astype({'confidence': 'string'})
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in_ukraine = data_frame[data_frame['latitude'].between(bounding[0], bounding[1]) & data_frame['longitude'].between(
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bounding[2], bounding[3]) & (data_frame['confidence'].str.contains('nominal') | data_frame['confidence'].str.contains('high'))]
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if not args.noreversegeolocation:
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address_list = getAdress(in_ukraine, date)
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else:
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address_list = []
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if not in_ukraine.empty:
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fire_map = folium.Map(location=in_ukraine[['latitude', 'longitude']].mean(
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).to_list(), zoom_start=4, max_bounds=True, crs='EPSG3857')
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folium.raster_layers.TileLayer(
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tiles=src,
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subdomains='abc',
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name='VIIRS CorrectedReflectance_BandsM11-I2-I1',
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attr='NASA VIIRS',
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overlay=True,
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layer='VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1',
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tileMatrixSet='GoogleMapsCompatible_Level9',
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time=str(dt.date.fromisoformat(date) - dt.timedelta(days=1)),
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tileSize=256,
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).add_to(fire_map)
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folium.LayerControl().add_to(fire_map)
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for r in in_ukraine.iterrows():
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location = (r[1]['latitude'], r[1]['longitude'])
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folium.Marker(location=location, tooltip=(
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r[1].to_string())).add_to(fire_map)
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if address_list:
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for address in address_list:
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if address is not None:
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location = (adress.raw['lat'], adress.raw['lon'])
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folium.CircleMarker(location=location, tooltip=(str(adress.raw['display_name'])),
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radius=10).add_to(fire_map)
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if not os.path.exists(html_file):
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fire_map.save(html_file)
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webbrowser.open_new(html_file)
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sys.exit(0)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'-i', '--inputfile', type=fileFormat, help='Specify the cvs file containing the satellite data to be displayed. INPUTFILE must match local_VIIRS_data-YYYY-MM-DD.csv')
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parser.add_argument('-nr', '--noreversegeolocation', action='store_true',
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help='Disable reverse geolocation')
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args = parser.parse_args()
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main(args)
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