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import ee
import geemap
import solara
class Map(geemap.Map):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.add_ee_data()
def add_ee_data(self):
# Select the eight NLCD epochs after 2000.
years = ["2001", "2004", "2006", "2008", "2011", "2013", "2016", "2019"]
# Get an NLCD image by year.
def getNLCD(year):
# Import the NLCD collection.
dataset = ee.ImageCollection("USGS/NLCD_RELEASES/2019_REL/NLCD")
# Filter the collection by year.
nlcd = dataset.filter(ee.Filter.eq("system:index", year)).first()
# Select the land cover band.
landcover = nlcd.select("landcover")
return landcover
## Create an NLCD image collection for the selected years.
collection = ee.ImageCollection(ee.List(years).map(lambda year: getNLCD(year)))
# Create a list of labels to populate the dropdown list.
labels = [f"NLCD {year}" for year in years]
# Add a split-panel map for visualizing NLCD land cover change.
self.ts_inspector(
left_ts=collection,
right_ts=collection,
left_names=labels,
right_names=labels,
)
# Add the NLCD legend to the map.
self.add_legend(
title="NLCD Land Cover Type",
builtin_legend="NLCD",
height="460px",
add_header=False,
)
@solara.component
def Page():
with solara.Column(style={"min-width": "500px"}):
Map.element(
center=[40, -100],
zoom=4,
height="600px",
)
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