template.py

# %%
"""
<table class="ee-notebook-buttons" align="left">
    <td><a target="_blank"  href="https://github.com/gee-community/geemap/tree/master/examples/template/template.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/gee-community/geemap/blob/master/examples/template/template.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/gee-community/geemap/blob/master/examples/template/template.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/gee-community/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.
"""

# %%
# Installs geemap package
import subprocess

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

# %%
import ee
import geemap

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

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

# %%
"""
## Add Earth Engine Python script
"""

# %%
# Add Earth Engine dataset
image = ee.Image("USGS/SRTMGL1_003")

# Set visualization parameters.
vis_params = {
    "min": 0,
    "max": 4000,
    "palette": ["006633", "E5FFCC", "662A00", "D8D8D8", "F5F5F5"],
}

# Print the elevation of Mount Everest.
xy = ee.Geometry.Point([86.9250, 27.9881])
elev = image.sample(xy, 30).first().get("elevation").getInfo()
print("Mount Everest elevation (m):", elev)

# Add Earth Engine layers to Map
Map.addLayer(image, vis_params, "DEM")
Map.addLayer(xy, {"color": "red"}, "Mount Everest")

# Center the map based on an Earth Engine object or coordinates (longitude, latitude)
# Map.centerObject(xy, 4)
Map.setCenter(86.9250, 27.9881, 4)

# %%
"""
## Display Earth Engine data layers
"""

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