(EEException: Invalid GeoJSON geometry.) Not able to perform classification while using modis dataset.

[akash597]

I wanted to perform supervised classification and my roi was India. I was following google documentation and used modis dataset and converted js code to python using your script which worked well, but now in the following code I'm having issues:-

import ee
import geemap
Map = geemap.Map()
roi = ee.Geometry.Point(-122.3942, 37.7295)

# Load Landsat 5 input imagery.
landsat = ee.Image(ee.ImageCollection('LANDSAT/LT05/C01/T1_TOA') \
  .filterDate('2011-01-01', '2011-12-31') \
  .filterBounds(roi) \
  .sort('CLOUD_COVER') \
  .first())

# Use MODIS land cover, IGBP classification, for training.
modis = ee.Image('MODIS/051/MCD12Q1/2011_01_01') \
    .select('Land_Cover_Type_1')

# Sample the input imagery to get a FeatureCollection of training data.
training = input.addBands(modis).sample({
  'numPixels': 5000,
  'seed': 0
})

_---------------------------------------------------------------------------
EEException                               Traceback (most recent call last)
<ipython-input-8-d210100f747a> in <module>
      1 # Sample the input imagery to get a FeatureCollection of training data.
----> 2 training = input.addBands(modis).sample({
      3   'numPixels': 5000,
      4   'seed': 0
      5 })

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\apifunction.py in <lambda>(*args, **kwargs)
    203         def MakeBoundFunction(func):
    204           # We need the lambda to capture "func" from the enclosing scope.
--> 205           return lambda *args, **kwargs: func.call(*args, **kwargs)  # pylint: disable=unnecessary-lambda
    206         bound_function = MakeBoundFunction(api_func)
    207 

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\function.py in call(self, *args, **kwargs)
     65       to that type.
     66     """
---> 67     return self.apply(self.nameArgs(args, kwargs))
     68 
     69   def apply(self, named_args):

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\function.py in apply(self, named_args)
     78       to that type.
     79     """
---> 80     result = computedobject.ComputedObject(self, self.promoteArgs(named_args))
     81     return Function._promoter(result, self.getReturnType())
     82 

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\function.py in promoteArgs(self, args)
    105       name = spec['name']
    106       if name in args:
--> 107         promoted_args[name] = Function._promoter(args[name], spec['type'])
    108       elif not spec.get('optional'):
    109         raise ee_exception.EEException(

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\__init__.py in _Promote(arg, klass)
    222       return ApiFunction.call_('Collection.geometry', arg)
    223     else:
--> 224       return Geometry(arg)
    225   elif klass in ('FeatureCollection', 'Collection'):
    226     # For now Collection is synonymous with FeatureCollection.

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\computedobject.py in __call__(cls, *args, **kwargs)
     30       return args[0]
     31     else:
---> 32       return type.__call__(cls, *args, **kwargs)
     33 
     34 

~\anaconda3\envs\Google_earth_engine\lib\site-packages\ee\geometry.py in __init__(self, geo_json, opt_proj, opt_geodesic, opt_evenOdd)
     82 
     83     if not Geometry._isValidGeometry(geo_json):
---> 84       raise ee_exception.EEException('Invalid GeoJSON geometry.')
     85 
     86     super(Geometry, self).__init__(None, None)

EEException: Invalid GeoJSON geometry.

Here I'm not able to use the training data.

[giswqs]

You need to have ** before {}. See https://geemap.org/notebooks/32_supervised_classification

training = input.addBands(modis).sample(**{
  'numPixels': 5000,
  'seed': 0
})

[akash597]

Thank you so much, sir.