File size: 4,227 Bytes
02c996d 2ea9c28 7b68ac7 02c996d 467bdeb 02c996d 7b68ac7 02c996d 467bdeb 02c996d 467bdeb 02c996d 467bdeb 02c996d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[](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": 1,
"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": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <style>\n",
" .geemap-dark {\n",
" --jp-widgets-color: white;\n",
" --jp-widgets-label-color: white;\n",
" --jp-ui-font-color1: white;\n",
" --jp-layout-color2: #454545;\n",
" background-color: #383838;\n",
" }\n",
"\n",
" .geemap-dark .jupyter-button {\n",
" --jp-layout-color3: #383838;\n",
" }\n",
"\n",
" .geemap-colab {\n",
" background-color: var(--colab-primary-surface-color, white);\n",
" }\n",
"\n",
" .geemap-colab .jupyter-button {\n",
" --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
" }\n",
" </style>\n",
" "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "5c6125f4479d4c609addce96721630ba",
"version_major": 2,
"version_minor": 0
},
"text/html": [
"Cannot show widget. You probably want to rerun the code cell above (<i>Click in the code cell, and press Shift+Enter <kbd>⇧</kbd>+<kbd>↩</kbd></i>)."
],
"text/plain": [
"Cannot show ipywidgets in text"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"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": "3.13.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|