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" ) @solara.component def Page(): with solara.Column(style={"min-width": "500px"}): Map.element( center=[40, -100], zoom=4, height="800px", )