'''
<table class="ee-notebook-buttons" align="left">
    <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Algorithms/reduce_resolution.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/Algorithms/reduce_resolution.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=Algorithms/reduce_resolution.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/Algorithms/reduce_resolution.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 

'''

# %%
# Load a MODIS EVI image.
modis = ee.Image(ee.ImageCollection('MODIS/006/MOD13A1').first()) \
    .select('EVI')

# Display the EVI image near La Honda, California.
Map.setCenter(-122.3616, 37.5331, 12)
Map.addLayer(modis, {'min': 2000, 'max': 5000}, 'MODIS EVI')

# Get information about the MODIS projection.
modisProjection = modis.projection()
print('MODIS projection:', modisProjection.getInfo())

# Load and display forest cover data at 30 meters resolution.
forest = ee.Image('UMD/hansen/global_forest_change_2015') \
    .select('treecover2000')
Map.addLayer(forest, {'max': 80}, 'forest cover 30 m')

# Get the forest cover data at MODIS scale and projection.
forestMean = forest \
    .reduceResolution(**{
      'reducer': ee.Reducer.mean(),
      'maxPixels': 1024
    }) \
    .reproject(**{
      'crs': modisProjection
    })

# Display the aggregated, reprojected forest cover data.
Map.addLayer(forestMean, {'max': 80}, 'forest cover at MODIS scale')


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

'''


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