Deletete api.pi
Browse files
api.py
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from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt
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from datetime import datetime, timedelta,date
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import zipfile
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import rasterio
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from rasterio.plot import show
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from PIL import Image
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import matplotlib.pyplot as plt
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import numpy as np
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import pandas as pd
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import os
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from glob import glob
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from tqdm import tqdm
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#from haversine import haversine, Unit
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#from xml.etree import ElementTree as et
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import xmltodict
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import json
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import warnings
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import shutil
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from shapely.geometry import Point
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from shapely.geometry.polygon import Polygon
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warnings.filterwarnings('ignore')
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##
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def unzip():
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files = glob('*.zip')
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for file in files:
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with zipfile.ZipFile(file, 'r') as zip_ref:
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zip_ref.extractall()
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##
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def select_best_cloud_coverage_tile():
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tile_names = {}
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cld_prob = []
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folders = glob('*.SAFE')
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for fold in folders:
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metadata_path = fold+"/MTD_MSIL2A.xml"
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xml_file=open(metadata_path,"r")
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xml_string=xml_file.read()
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python_dict=xmltodict.parse(xml_string)
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cld = float(python_dict["n1:Level-2A_User_Product"]["n1:Quality_Indicators_Info"]["Cloud_Coverage_Assessment"])
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tile_names[cld] = fold
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cld_prob.append(cld)
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name = tile_names[min(cld_prob)]
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dates = name.split('_')[2][:8]
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acquisition_date = datetime.strptime(dates, "%Y%m%d")
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today = datetime.now()
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delta = (today - acquisition_date)
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days_ago = delta.days
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return name,min(cld_prob),days_ago
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##
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def find_good_tile(df, point):
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for row in tqdm(df.itertuples(),total=len(df)):
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tile_name = row.tiles
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coordinate = row.coords
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x = coordinate.replace(']','')
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x = x.replace('[','')
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x = x.replace("'",'')
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tab = [[float(x.split(",")[i]),float(x.split(",")[i+1])] for i in range(0,len(x.split(",")),2)]
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polygon = Polygon(tab)
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result = polygon.contains(point)
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if result:
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print(tile_name)
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return tile_name
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return 404
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##
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def delete_tiles():
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files = glob('*.zip')
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folders1 = glob('*.SAFE')
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folders2 = glob("*.tmp")
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for f in files:
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os.remove(f)
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for fold in folders1:
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shutil.rmtree(fold, ignore_errors=True)
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for fold in folders2:
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shutil.rmtree(fold, ignore_errors=True)
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