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import os
import streamlit as st
import pandas as pd
import leafmap.foliumap as leafmap
st.set_page_config(layout="wide")
def random_color(feature):
return {
'color': 'black',
'fillColor': random.choice(['red', 'yellow', 'green', 'orange']),
}
url = 'https://open.gishub.org/maxar-open-data'
repo = 'https://github.com/opengeos/maxar-open-data/blob/master/datasets'
os.environ['GOOGLE_MAPS_API_KEY'] = 'API-KEY'
m = leafmap.Map()
m.add_basemap('SATELLITE')
m.add_basemap('ROADMAP')
@st.cache_data
def get_datasets():
datasets = f'{url}/datasets.csv'
df = pd.read_csv(datasets)
return df
@st.cache_data
def get_catalogs(name, date_selected):
dataset = f'{url}/datasets/{name}.tsv'
dataset_df = pd.read_csv(dataset, sep='\t')
dataset_df['as_datetime'] = dataset_df['datetime'].apply(pd.to_datetime)
dataset_df['as_date'] = dataset_df['datetime'].apply(pd.to_datetime).apply(pd.Timestamp.date)
filtered_to_date = dataset_df.loc[(dataset_df['as_date'] == date_selected), 'catalog_id' ]
catalog_ids = filtered_to_date.unique().tolist()
return catalog_ids
@st.cache_data
def get_catalogs_dates(name):
dataset = f'{url}/datasets/{name}.tsv'
dataset_df = pd.read_csv(dataset, sep='\t')
catalog_dates_as_datetime = pd.to_datetime(dataset_df['datetime']).sort_values(ascending=False)
catalog_dates_ids = catalog_dates_as_datetime.map(pd.Timestamp.date).unique().tolist()
return catalog_dates_ids
st.title('Visualizing Maxar Open Data')
# st.markdown(get_catalogs('Morocco-Earthquake-Sept-2023', '2023-09-11'))
col1, col2 = st.columns([1.2, 3.8])
with col1:
default = 'Morocco-Earthquake-Sept-2023'
datasets = get_datasets()['dataset'].tolist()
dataset = st.selectbox('Select a dataset', datasets, index=datasets.index(default))
datepicker = st.selectbox('Select Date', get_catalogs_dates(dataset))
# st.markdown(get_catalogs(dataset, datepicker))
catalog = st.selectbox('Select a COG mosaic', get_catalogs(dataset, datepicker), index=get_catalogs(dataset, datepicker).index(get_catalogs(dataset, datepicker)[0]))
geojson = f'{url}/datasets/{dataset}.geojson'
mosaic = f'{url}/datasets/{dataset}/{catalog}.json'
tsv = f'{repo}/{dataset}/{catalog}.tsv'
st.markdown(f'View metadata: [{catalog}.tsv]({tsv})')
with st.expander("Python code snippets"):
markdown = f"""
import leafmap.foliumap as leafmap
m = leafmap.Map()
geojson = '{geojson}'
mosaic = '{mosaic}'
m.add_geojson(geojson, layer_name='{dataset}', info_mode='on_click')
m.add_stac_layer(mosaic, name='{catalog}')
m
"""
st.code(markdown)
style = {
'weight': 1,
'fillOpacity': 0
}
callback = lambda feat: print(feat["properties"]["datetime"])
m.add_geojson(geojson, layer_name=dataset, style=style, info_mode='on_click', style_callback=random_color)
m.add_stac_layer(mosaic, name=catalog)
st.info('About')
markdown = f"""
- [Web App Source Code](https://github.com/opengeos/maxar-open-data/blob/master/streamlit_app.py)
- [GitHub Repo](https://github.com/opengeos/maxar-open-data)
- [Notebook Example](https://github.com/opengeos/maxar-open-data/blob/master/examples/maxar_open_data.ipynb)
- [Maxar Open Data Program](https://www.maxar.com/open-data)
- [Maxar Open Data on AWS](https://registry.opendata.aws/maxar-open-data/)
- [Maxar Open Data on STAC Index](https://stacindex.org/catalogs/maxar-open-data-catalog-ard-format#/)
- [Maxar Open Data on STAC Browser](https://radiantearth.github.io/stac-browser/#/external/maxar-opendata.s3.amazonaws.com/events/catalog.json?.language=en)
- Contact: [Qiusheng Wu](https://github.com/giswqs)
"""
st.markdown(markdown)
with col2:
m.to_streamlit(height=780)
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