'''
<table class="ee-notebook-buttons" align="left">
    <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Image/landcover_cleanup.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/Image/landcover_cleanup.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=Image/landcover_cleanup.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/Image/landcover_cleanup.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" /> Run in Google Colab</a></td>
</table>
'''

# %%
'''
## Install Earth Engine API
Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geehydro](https://github.com/giswqs/geehydro). The **geehydro** Python package builds on the [folium](https://github.com/python-visualization/folium) package and implements several methods for displaying Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, `Map.centerObject()`, and `Map.setOptions()`.
The magic command `%%capture` can be used to hide output from a specific cell.
'''


# %%
# %%capture
# !pip install earthengine-api
# !pip install geehydro

# %%
'''
Import libraries
'''


# %%
import ee
import folium
import geehydro

# %%
'''
Authenticate and initialize Earth Engine API. You only need to authenticate the Earth Engine API once. Uncomment the line `ee.Authenticate()` 
if you are running this notebook for this first time or if you are getting an authentication error.  
'''


# %%
# ee.Authenticate()
ee.Initialize()

# %%
'''
## Create an interactive map 
This step creates an interactive map using [folium](https://github.com/python-visualization/folium). The default basemap is the OpenStreetMap. Additional basemaps can be added using the `Map.setOptions()` function. 
The optional basemaps can be `ROADMAP`, `SATELLITE`, `HYBRID`, `TERRAIN`, or `ESRI`.
'''

# %%
Map = folium.Map(location=[40, -100], zoom_start=4)
Map.setOptions('HYBRID')

# %%
'''
## Add Earth Engine Python script 

'''

# %%
Map.setCenter(-113.41842, 40.055489, 6)

# Force projection of 500 meters/pixel, which is the native MODIS resolution.
VECTORIZATION_SCALE = 500

image1 = ee.Image('MCD12Q1/MCD12Q1_005_2001_01_01')
image2 = image1.select(['Land_Cover_Type_1'])
image3 = image2.reproject('EPSG:4326', None, 500)
image4 = image3.focal_mode()
image5 = image4.focal_max(3).focal_min(5).focal_max(3)
image6 = image5.reproject('EPSG:4326', None, 500)

PALETTE = [
    'aec3d4',  # water
    '152106', '225129', '369b47', '30eb5b', '387242',  # forest
    '6a2325', 'c3aa69', 'b76031', 'd9903d', '91af40',  # shrub, grass, savannah
    '111149',  # wetlands
    'cdb33b',  # croplands
    'cc0013',  # urban
    '33280d',  # crop mosaic
    'd7cdcc',  # snow and ice
    'f7e084',  # barren
    '6f6f6f'   # tundra
    ]

vis_params = {'min': 0, 'max': 17, 'palette': PALETTE}

Map.addLayer(image2, vis_params, 'IGBP classification')
Map.addLayer(image3, vis_params, 'Reprojected')
Map.addLayer(image4, vis_params, 'Mode')
Map.addLayer(image5, vis_params, 'Smooth')
Map.addLayer(image6, vis_params, 'Smooth')


# %%
'''
## Display Earth Engine data layers 

'''


# %%
Map.setControlVisibility(layerControl=True, fullscreenControl=True, latLngPopup=True)
Map