# Installs geemap package
import subprocess

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

import ee
import geemap

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

# 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, "SRTM DEM", True, 0.5)
Map.addLayer(xy, {"color": "red"}, "Mount Everest")

Map.centerObject(ee_object=xy, zoom=13)

Map.setCenter(lon=-100, lat=40, zoom=4)

import ee
import geemap
from ipyleaflet import *
from ipywidgets import Label

try:
    ee.Initialize()
except Exception as e:
    ee.Authenticate()
    ee.Initialize()

Map = geemap.Map(center=(40, -100), zoom=4)
Map.default_style = {"cursor": "crosshair"}

# 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"],
}

# Add Earth Engine layers to Map
Map.addLayer(image, vis_params, "SRTM DEM", True, 0.5)

latlon_label = Label()
elev_label = Label()
display(latlon_label)
display(elev_label)
coordinates = []
markers = []
marker_cluster = MarkerCluster(name="Marker Cluster")
Map.add_layer(marker_cluster)


def handle_interaction(**kwargs):
    latlon = kwargs.get("coordinates")
    if kwargs.get("type") == "mousemove":
        latlon_label.value = "Coordinates: {}".format(str(latlon))
    elif kwargs.get("type") == "click":
        coordinates.append(latlon)
        #         Map.add_layer(Marker(location=latlon))
        markers.append(Marker(location=latlon))
        marker_cluster.markers = markers
        xy = ee.Geometry.Point(latlon[::-1])
        elev = image.sample(xy, 30).first().get("elevation").getInfo()
        elev_label.value = "Elevation of {}: {} m".format(latlon, elev)


Map.on_interaction(handle_interaction)

Map

import ee
import geemap
from ipyleaflet import *
from bqplot import pyplot as plt

try:
    ee.Initialize()
except Exception as e:
    ee.Authenticate()
    ee.Initialize()

Map = geemap.Map(center=(40, -100), zoom=4)
Map.default_style = {"cursor": "crosshair"}


# Compute the trend of nighttime lights from DMSP.
# Add a band containing image date as years since 1990.
def createTimeBand(img):
    year = img.date().difference(ee.Date("1991-01-01"), "year")
    return ee.Image(year).float().addBands(img)


NTL = ee.ImageCollection("NOAA/DMSP-OLS/NIGHTTIME_LIGHTS").select("stable_lights")

# Fit a linear trend to the nighttime lights collection.
collection = NTL.map(createTimeBand)
fit = collection.reduce(ee.Reducer.linearFit())

image = NTL.toBands()

figure = plt.figure(
    1,
    title="Nighttime Light Trend",
    layout={"max_height": "250px", "max_width": "400px"},
)
count = collection.size().getInfo()
start_year = 1992
end_year = 2013
x = range(1, count + 1)

coordinates = []
markers = []
marker_cluster = MarkerCluster(name="Marker Cluster")
Map.add_layer(marker_cluster)


def handle_interaction(**kwargs):
    latlon = kwargs.get("coordinates")
    if kwargs.get("type") == "click":
        coordinates.append(latlon)
        markers.append(Marker(location=latlon))
        marker_cluster.markers = markers
        xy = ee.Geometry.Point(latlon[::-1])
        y = image.sample(xy, 500).first().toDictionary().values().getInfo()
        plt.clear()
        plt.plot(x, y)


#         plt.xticks(range(start_year, end_year, 5))
Map.on_interaction(handle_interaction)

# Display a single image
Map.addLayer(
    ee.Image(collection.select("stable_lights").first()),
    {"min": 0, "max": 63},
    "First image",
)

# Display trend in red/blue, brightness in green.
Map.setCenter(30, 45, 4)
Map.addLayer(
    fit,
    {"min": 0, "max": [0.18, 20, -0.18], "bands": ["scale", "offset", "scale"]},
    "stable lights trend",
)

fig_control = WidgetControl(widget=figure, position="bottomright")
Map.add_control(fig_control)

Map