import pystac_client
from odc import stac as odc_stacIn the previous notebook, you have learnt how to access Sentinel-1 data from EODC using the STAC API. Your task now is to find and plot a Sentinel-1 acquisition of your latest holiday destination. To successfully finish the exercise, you need to perform the following tasks:
To help you to get started, we already imported all required packages and provided some code blocks. Your task is now to fill in the missing code cells indicated with # YOUR CODE HERE.
A.1 List all collection names and select one
eodc_catalog = pystac_client.Client.open("https://stac.eodc.eu/api/v1")
colllection_id = ... # YOUR CODE HERE
collection = eodc_catalog.get_collection(colllection_id)
collectionA.2 Define spatial and temporal extent and use client to load the metadata
# Define the area of interest by providing coordinates that cover your latest
# holiday destination (can be a city, state, country, etc.)
latmin, latmax = ... # YOUR CODE HERE
lonmin, lonmax = ... # YOUR CODE HERE
bounds = (lonmin, latmin, lonmax, latmax)
# Define the time range. This can either be the data of your actual holiday or
# any other time range between 2016 and 2023
time_range = ... # YOUR CODE HERE
items = ... # YOUR CODE HERE
print(len(items), "scenes found.")A.3 Find necessary metadata, like bands, resolution, coordinate reference system
# Pick one item from items using indexing get the relative orbit from the item
# properties
relative_orbit = ... # YOUR CODE HERE
print(f"The relative orbit number of the item is {relative_orbit}")A.4 Lazily load the data into an Xarray
Take care that your dataset is not to big by limiting the bounds and time range!
bands = ... # YOUR CODE HERE
chunks = {"time": 1, "x": 1000, "y": 1000}
sig0_dc = odc_stac.load(
items,
bands=bands,
bbox=bounds,
chunks=chunks,
)A.5 Define the nodata value and scale factor and decode the data
nodata = ... # YOUR CODE HERE
scale = ... # YOUR CODE HERE
sig0_dc = ... # YOUR CODE HEREA.6 Plot the loaded data
... # YOUR CODE HERE