SentinelSat 5P methane

Pipfile

[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true

[dev-packages]

[packages]
sentinelsat = "*"
pandas = "*"

[requires]
python_version = "3.8"

Pipfile.lock

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saudiarabia.geojson

Sentinel5pMethaneDownload.py

import os
from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt

wd = os.getcwd()

# query the 5P API
api = SentinelAPI(user='s5pguest', password='s5pguest', api_url='https://s5phub.copernicus.eu/dhus')
footprint = geojson_to_wkt(read_geojson(os.path.join(wd, 'saudiarabia.geojson'))) # Area of interest
products = api.query(area = footprint, date =("NOW-5DAY", "NOW"), area_relation="Contains")

# convert to Pandas DataFrame
products_df = api.to_dataframe(products)

# filter to just methane products
methane_df = products_df[products_df["producttypedescription"]=="Methane"]
print(methane_df.head())

# download sorted and reduced products
api.download_all(methane_df.index)