File size: 2,131 Bytes
79e3418 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | import streamlit as st
import h5py
import numpy as np
import pandas as pd
import plotly.express as px
import os
filename = r'Reduced_SMAP_L4_SM_aup.h5'
@st.cache_data
def load_h5_data(filename):
if not os.path.isfile(filename):
raise FileNotFoundError(f"File not found: {filename}")
with h5py.File(filename, 'r') as h5:
soil_moisture = h5['Analysis_Data/sm_surface_analysis'][:]
lat = h5['cell_lat'][:]
lon = h5['cell_lon'][:]
return lat, lon, soil_moisture
try:
lat, lon, soil_moisture = load_h5_data(filename)
df = pd.DataFrame({
'Latitude': lat.flatten(),
'Longitude': lon.flatten(),
'Soil Moisture': soil_moisture.flatten()
})
st.title("Soil Moisture Data Dashboard")
st.write("This dashboard displays soil moisture levels based on latitude and longitude.")
min_lat, max_lat = st.slider("Select Latitude Range", float(df['Latitude'].min()), float(df['Latitude'].max()), (float(df['Latitude'].min()), float(df['Latitude'].max())))
min_lon, max_lon = st.slider("Select Longitude Range", float(df['Longitude'].min()), float(df['Longitude'].max()), (float(df['Longitude'].min()), float(df['Longitude'].max())))
filtered_data = df[(df['Latitude'] >= min_lat) & (df['Latitude'] <= max_lat) & (df['Longitude'] >= min_lon) & (df['Longitude'] <= max_lon)]
st.write(f"Displaying data for Latitude between {min_lat} and {max_lat} and Longitude between {min_lon} and {max_lon}")
st.dataframe(filtered_data)
if not filtered_data.empty:
fig = px.scatter_mapbox(filtered_data, lat='Latitude', lon='Longitude', color='Soil Moisture',
color_continuous_scale=px.colors.cyclical.IceFire, size_max=15, zoom=3)
fig.update_layout(mapbox_style="open-street-map")
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
st.plotly_chart(fig)
else:
st.write("No data available in the selected range.")
except FileNotFoundError as e:
st.error(str(e))
except Exception as e:
st.error(f"An error occurred: {str(e)}")
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