import ee import geemap import solara class Map(geemap.Map): def __init__(self, **kwargs): super().__init__(**kwargs) self.add_ee_data() self.add_plot_gui() def add_ee_data(self): PREgoesCMI = ee.ImageCollection('NOAA/GOES/17/MCMIPF').filter(ee.Filter.date('2020-08-15', '2020-08-16')).mean() POSTgoesCMI = ee.ImageCollection('NOAA/GOES/17/MCMIPF').filter(ee.Filter.date('2020-09-15', '2020-09-16')).mean() preNBR = PREgoesCMI.select(['CMI_C03','CMI_C06']).normalizedDifference(['CMI_C03', 'CMI_C06']).toFloat().rename('NBR'); postNBR = POSTgoesCMI.select(['CMI_C03','CMI_C06']).normalizedDifference(['CMI_C03', 'CMI_C06']).toFloat().rename('NBR'); dNBR = preNBR.subtract(postNBR).select('NBR') dNBRvisParams = { 'min': 0.0, 'max': 0.8, 'palette': ['green', 'yellow','orange','red']} self.addLayer(dNBR, dNBRvisParams, "GOES dNBR") fireList = ["North Complex", "Dixie", "Cameron Peak", "August Complex"] four_fires = solara.reactive([fireList[0]]) @solara.component def Page(): solara.SelectMultiple("Wildfire Case Study", four_fires, fireList) solara.Markdown(f"**Selected**: {four_fires.value}") with solara.Column(style={"min-width": "500px"}): Map.element( center=[40, -100], zoom=4, height="600px", )