{ "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 }