text: # %%
  """
  <table class="ee-notebook-buttons" align="left">
      <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/FeatureCollection/merge_feature_collections.ipynb"><img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" /> View source on GitHub</a></td>
      <td><a target="_blank"  href="https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/FeatureCollection/merge_feature_collections.ipynb"><img width=26px src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png" />Notebook Viewer</a></td>
      <td><a target="_blank"  href="https://mybinder.org/v2/gh/giswqs/earthengine-py-notebooks/master?filepath=FeatureCollection/merge_feature_collections.ipynb"><img width=58px src="https://mybinder.org/static/images/logo_social.png" />Run in binder</a></td>
      <td><a target="_blank"  href="https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/FeatureCollection/merge_feature_collections.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" /> Run in Google Colab</a></td>
  </table>
  """
  
  # %%
  """
  ## Install Earth Engine API and geemap
  Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
  The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.
  
  **Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving).
  """
  
  # %%
  # Installs geemap package
  import subprocess
  
  try:
      import geemap
  except ImportError:
      print('geemap package not installed. Installing ...')
      subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])
  
  # Checks whether this notebook is running on Google Colab
  try:
      import google.colab
      import geemap.eefolium as emap
  except:
      import geemap as emap
  
  # Authenticates and initializes Earth Engine
  import ee
  
  try:
      ee.Initialize()
  except Exception as e:
      ee.Authenticate()
      ee.Initialize()  
  
  # %%
  """
  ## Create an interactive map 
  The default basemap is `Google Satellite`. [Additional basemaps](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py#L13) can be added using the `Map.add_basemap()` function. 
  """
  
  # %%
  Map = emap.Map(center=[40,-100], zoom=4)
  Map.add_basemap('ROADMAP') # Add Google Map
  Map
  
  # %%
  """
  ## Add Earth Engine Python script 
  """
  
  # %%
  # Add Earth Engine dataset
  SD = ee.FeatureCollection('TIGER/2018/States') \
      .filter(ee.Filter.eq('STUSPS', 'SD'))
  
  ND = ee.FeatureCollection('TIGER/2018/States') \
      .filter(ee.Filter.eq('STUSPS', 'ND'))
  
  states = SD.merge(ND)
  Map.centerObject(states, 6)
  Map.addLayer(ee.Image().paint(states, 0, 2), {}, 'Dakotas')
  # print(states.size().getInfo())
  
  
  # %%
  """
  ## Display Earth Engine data layers 
  """
  
  # %%
  Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.
  Map