在pycharm环境中，通过folium和webbrowser实现显示GEE的map。即先将folium中的map保存为html格式，然后通过webbrowser在浏览器中打开
import ee
import folium
import webbrowser
ee.Initialize()
print('Folium Version: ', folium.__version__)
# Use these bands for prediction.
bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7']
# Use Landsat 8 surface reflectance data.
l8sr = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR'）
# The image input data is a 2018 cloud-masked median composite.
image = l8sr.filterDate('2018-01-01', '2018-12-31').map(maskL8sr).median()
# Use folium to visualize the imagery.
mapIdDict = image.getMapId({'bands': ['B4','B3','B2'],'min':0,'max':0.3})
map = folium.Map(location=[48., -122.5])
folium.TileLayer(
tiles=mapIdDict['tile_fetcher'].url_format,
attr='Map Data © <a href="https://earthengine.google.com/">Google Earth Engine</a>',
overlay=True,
name='median composite',
).add_to(map)
map.add_child(folium.LayerControl())
# 利用map.save 将map保存为html："Landsat 8 images.html"
map.save("Landsat 8 images.html")
# webbrowser中打开"Landsat 8 images.html"
webbrowser.open("Landsat 8 images.html")
