Run in Google Colab

Oil palm concessions in southern Myanmar consist mostly of unconverted forest¶

Credits to Keiko Nomura

GEE App: https://nkeikon.users.earthengine.app/view/tanintharyi-oil-palm-and-rubber-map

Source code: https://github.com/nkeikon/tanintharyi

Reference: https://go.nature.com/2QBIrYe

Demo: https://i.imgur.com/VrYKmVG.gifv

Install Earth Engine API and geemap¶

Install the Earth Engine Python API and geemap. The geemap Python package is built upon the ipyleaflet and 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, including earthengine-api, folium, and ipyleaflet.

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# Installs geemap package
import subprocess

try:
    import geemap
except ImportError:
    print('geemap package not installed. Installing ...')
    subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])

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import ee
import geemap

Create an interactive map¶

The default basemap is Google Maps. Additional basemaps can be added using the Map.add_basemap() function.

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Map = geemap.Map(center=[40,-100], zoom=4)
Map.add_basemap('HYBRID') # Add Google Map
Map

Add Earth Engine Python script¶

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# Add Earth Engine data
area1 = ee.Image("users/nkeikon/myanmar_sr/area1_map")
area2 = ee.Image("users/nkeikon/myanmar_sr/area2_map")
tanintharyi = ee.FeatureCollection("users/nkeikon/myanmar_sr/TNI")
Map.centerObject(tanintharyi,10)
total = ee.ImageCollection([area1,area2]).mosaic()
palette =['ff0000',# palm  (red)
              '9933ff',#rubber  (purple)
              '008000',#other trees  (green)
              'lime',#shrub (lime)
              'yellow',#bare (yellow)
              '0000ff',#river (blue)
]
viz = {'min':1, 'max':6, 'palette':palette}
MAIN = 'Default map'
OILPALM = 'Oil palm only'
RUBBER = 'Rubber only'
OILPALM_RUBBER = 'Oil palm and rubber'
mainVis = total.visualize(**viz)
oilpalmVis = total.eq(1).selfMask().visualize(**{'palette':'red'})
rubberVis = total.eq(2).selfMask().visualize(**{'palette':'purple'})
oilpalm_rubberVis = oilpalmVis.blend(rubberVis)
Map.addLayer(mainVis, {}, 'Land cover')
Map.addLayer(oilpalmVis, {}, 'Oil palm only')
Map.addLayer(rubberVis, {}, 'Rubber only')
Map.addLayer(oilpalm_rubberVis, {}, 'Oil palm and rubber')

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# Add widgets to the map
import ipywidgets as widgets
from ipyleaflet import WidgetControl
legend = widgets.HTML(
    value='<img src="https://i.imgur.com/Ye2sgan.png">',
    placeholder='Land cover',
    descripition='Land cover'
)

citation = widgets.HTML(
    value='Reference: <a href="https://go.nature.com/2QBIrYe">https://go.nature.com/2QBIrYe</a>',
    placeholder='Land cover',
    descripition='Land cover'
)

dropdown = widgets.Dropdown(
    options=[('Land cover', 1), ('Old palm only', 2), ('Rubber only', 3), ('Oil palm and bubber only', 4), ('Show all layers', 5)],
    value=5,
    description='Select layer',
)

legend_control = WidgetControl(widget=legend, position='bottomleft')
citation_control = WidgetControl(widget=citation, position='bottomright')
dropdown_control = WidgetControl(widget=dropdown, position='topright')

all_layers = Map.layers

def on_change(change):
    if change['type'] == 'change' and change['name'] == 'value':
        if change['new'] == 5: 
            Map.layers = all_layers
        else:
            Map.layers = Map.layers[:3] 
            layer_index = change['new'] + 2
            Map.add_layer(all_layers[layer_index])

dropdown.observe(on_change)

Map.add_control(legend_control)
Map.add_control(citation_control)
Map.add_control(dropdown_control)

Display Earth Engine data layers¶

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Map

Last update: 2021-02-25