#!/usr/bin/env python
# coding: utf-8

# <table class="ee-notebook-buttons" align="left">
#     <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Image/clipping.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/clipping.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://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Image/clipping.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://geemap.org). 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.

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# Installs geemap package
import subprocess

try:
    import geemap
except ImportError:
    print('Installing geemap ...')
    subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])


# In[ ]:


import ee
import geemap


# ## Create an interactive map 
# The default basemap is `Google Maps`. [Additional basemaps](https://github.com/giswqs/geemap/blob/master/geemap/basemaps.py) can be added using the `Map.add_basemap()` function. 

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Map = geemap.Map(center=[40,-100], zoom=4)
Map


# ## Add Earth Engine Python script 

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# Add Earth Engine dataset
image = ee.Image('LANDSAT/LC8_L1T_TOA/LC80440342014077LGN00')

roi = ee.Geometry.Point([-122.4481, 37.7599]).buffer(20000)

clipped = image.clip(roi)

# print(image.getInfo())
Map.setCenter(-122.1899, 37.5010, 10)
vis = {'bands': ['B5', 'B4', 'B3'], 'min': 0, 'max': 0.5, 'gamma': [0.95, 1.1, 1]}
Map.addLayer(image, vis, "Full Image", False)
Map.addLayer(clipped, vis, "Clipped Image")


# ## Display Earth Engine data layers 

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Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.
Map