docs: def get_imagery(cls, lat, lon, date=None, dim=None, cloud_score=False):
          """
          Returns satellite image
  
          Args:
              lat: latitude float
              lon: longitude float
              date: date instance of available date from `get_assets`
              dim: width and height of image in degrees as float
              cloud_score: boolean to calculate the percentage of the image covered by clouds
  
          Returns:
              json
          """
          instance = cls('planetary/earth/imagery')
  
          filters = {
              'lat': lat,
              'lon': lon,
              'date': date,
              'dim': dim,
              'cloud_score': cloud_score
          }
  
          return instance.get_resource(**filters)