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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/solara-geemap/blob/main/notebooks/03_plotting.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# %pip install -U geemap solara"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import ee\n",
"import geemap\n",
"import solara\n",
"\n",
"\n",
"class Map(geemap.Map):\n",
" def __init__(self, **kwargs):\n",
" super().__init__(**kwargs)\n",
" self.add_ee_data()\n",
" self.add_plot_gui()\n",
"\n",
" def add_ee_data(self):\n",
" landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\").select(\n",
" [\"B1\", \"B2\", \"B3\", \"B4\", \"B5\", \"B7\"]\n",
" )\n",
"\n",
" landsat_vis = {\"bands\": [\"B4\", \"B3\", \"B2\"], \"gamma\": 1.4}\n",
" self.addLayer(landsat7, landsat_vis, \"Landsat\")\n",
"\n",
" hyperion = ee.ImageCollection(\"EO1/HYPERION\").filter(\n",
" ee.Filter.date(\"2016-01-01\", \"2017-03-01\")\n",
" )\n",
"\n",
" hyperion_vis = {\n",
" \"min\": 1000.0,\n",
" \"max\": 14000.0,\n",
" \"gamma\": 2.5,\n",
" }\n",
" self.addLayer(hyperion, hyperion_vis, \"Hyperion\")\n",
"\n",
"\n",
"@solara.component\n",
"def Page():\n",
" with solara.Column(style={\"min-width\": \"500px\", \"isolation\": \"isolate\"}):\n",
" Map.element(\n",
" center=[40, -100],\n",
" zoom=4,\n",
" height=\"600px\",\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Page()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "geo",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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