code: def geojson_to_wkt(geojson_obj, feature_number=0, decimals=4):
      
      if 'coordinates' in geojson_obj:
          geometry = geojson_obj
      elif 'geometry' in geojson_obj:
          geometry = geojson_obj['geometry']
      else:
          geometry = geojson_obj['features'][feature_number]['geometry']
  
      def ensure_2d(geometry):
          if isinstance(geometry[0], (list, tuple)):
              return list(map(ensure_2d, geometry))
          else:
              return geometry[:2]
  
      def check_bounds(geometry):
          if isinstance(geometry[0], (list, tuple)):
              return list(map(check_bounds, geometry))
          else:
              if geometry[0] > 180 or geometry[0] < -180:
                  raise ValueError('Longitude is out of bounds, check your JSON format or data')
              if geometry[1] > 90 or geometry[1] < -90:
                  raise ValueError('Latitude is out of bounds, check your JSON format or data')
  
      # Discard z-coordinate, if it exists
      geometry['coordinates'] = ensure_2d(geometry['coordinates'])
      check_bounds(geometry['coordinates'])
  
      wkt = geomet.wkt.dumps(geometry, decimals=decimals)
      # Strip unnecessary spaces
      wkt = re.sub(r'(?<!\d) ', '', wkt)
      return wkt
docs: Convert a GeoJSON object to Well-Known Text. Intended for use with OpenSearch queries.
  
      In case of FeatureCollection, only one of the features is used (the first by default).
      3D points are converted to 2D.
  
      Parameters
      ----------
      geojson_obj : dict
          a GeoJSON object
      feature_number : int, optional
          Feature to extract polygon from (in case of MultiPolygon
          FeatureCollection), defaults to first Feature
      decimals : int, optional
          Number of decimal figures after point to round coordinate to. Defaults to 4 (about 10
          meters).
  
      Returns
      -------
      polygon coordinates
          string of comma separated coordinate tuples (lon, lat) to be used by SentinelAPI