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

# In[2]:


get_ipython().run_line_magic('matplotlib', 'inline')
from new_import import *


# Dask gateway
cluster, client = notebook_utils.initialize_dask(use_gateway=True, workers=(1,4))
dc = datacube.Datacube()


# Configure s3 access
configure_s3_access(aws_unsigned=False, requester_pays=True, client=client)




# In[3]:


ds = dc.load(
    product="sentinel1_grd_gamma0_20m",
    x=(105.5, 106.4),
    y=(9.2, 10.0),
    time=("2022-09-01", "2023-10-01"),
    measurements=["vv", "vh"],
    output_crs="EPSG:32648",
    resolution=(-10,10),
    dask_chunks={"x":2048, "y":2048},
    skip_broken_datasets=True,
    group_by="solar_day"
)
notebook_utils.heading(notebook_utils.xarray_object_size(ds))
ds


# In[18]:


vh = ds.vh.resample(time='1M').mean().persist()
vh = vh.compute()
vv = ds.vv.resample(time='1M').mean().persist()
vv = vv.compute()



# In[28]:


vv.min()


# In[33]:


import matplotlib.pyplot as plt

# Plot the data
plt.imshow(vh.isel(time=0), cmap='viridis', vmin=0, vmax=1)
plt.colorbar()  # Add colorbar for reference
plt.show()


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