#!/usr/bin/env python
# coding: utf-8

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import geopandas as gpd
import pandas as pd
import rasterio as rio


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#set working directory
import os
os.chdir('C:\\Users\\jtrum\\world_bank\\data')

#read in files
luanda = gpd.read_file('luanda2clean.geojson')

with rio.open('ESA_WorldCover_10m_2021_v200_S12E012_Map.tif') as src:
    landCover = src.read()
    profile = src.profile


# convert to dataframe
landCover = pd.DataFrame(landCover[0])


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landCover


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from sentinelsat import SentinelAPI, read_geojson


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username = 'jtrummler'
password = 'Cf5lvg0503!'


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api = SentinelAPI(username, password, 'https://scihub.copernicus.eu/dhus')


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footprint = read_geojson('luanda2clean.geojson')


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products = api.query(footprint,
                     date=('20/01/31', '20/01/01'),
                     platformname='Sentinel-2',
                     cloudcoverpercentage=(0, 10))