{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/92_plotly.ipynb)\n", "[![image](https://mybinder.org/badge_logo.svg)](https://gishub.org/geemap-binder)\n", "\n", "Uncomment the following line to install [geemap](https://geemap.org) if needed." ] }, { "cell_type": "code", "execution_count": null, "id": "1", "metadata": {}, "outputs": [], "source": [ "# !pip install geemap" ] }, { "cell_type": "code", "execution_count": null, "id": "2", "metadata": {}, "outputs": [], "source": [ "import ee\n", "import geemap.plotlymap as geemap" ] }, { "cell_type": "markdown", "id": "3", "metadata": {}, "source": [ "If you are using a recently implemented geema feature that has not yet been released to PyPI or conda-forge, you can uncomment the following line to install the development version from GitHub." ] }, { "cell_type": "code", "execution_count": null, "id": "4", "metadata": {}, "outputs": [], "source": [ "# geemap.update_package()" ] }, { "cell_type": "markdown", "id": "5", "metadata": {}, "source": [ "If you run into an error saying \"FigureWidget - 'mapbox._derived' Value Error\" ([source](https://github.com/plotly/plotly.py/issues/2570#issuecomment-738735816)), uncomment the following line and run it." ] }, { "cell_type": "code", "execution_count": null, "id": "6", "metadata": {}, "outputs": [], "source": [ "# geemap.fix_widget_error()" ] }, { "cell_type": "markdown", "id": "7", "metadata": {}, "source": [ "Create an interactive map using default settings." ] }, { "cell_type": "code", "execution_count": null, "id": "8", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "m" ] }, { "cell_type": "markdown", "id": "9", "metadata": {}, "source": [ "Change default setting when creating a map. \n", "\n", " Can be one of string from \"open-street-map\", \"carto-positron\", \"carto-darkmatter\", \"stamen-terrain\", \"stamen-toner\" or \"stamen-watercolor\" ." ] }, { "cell_type": "code", "execution_count": null, "id": "10", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map(center=(40, -100), zoom=3, basemap=\"stamen-terrain\", height=500)\n", "m" ] }, { "cell_type": "markdown", "id": "11", "metadata": {}, "source": [ "Set map center and zoom level." ] }, { "cell_type": "code", "execution_count": null, "id": "12", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map(basemap=\"stamen-watercolor\")\n", "m.set_center(lat=20, lon=0, zoom=2)\n", "m" ] }, { "cell_type": "markdown", "id": "13", "metadata": {}, "source": [ "Print out available basemaps." ] }, { "cell_type": "code", "execution_count": null, "id": "14", "metadata": {}, "outputs": [], "source": [ "geemap.basemaps.keys()" ] }, { "cell_type": "markdown", "id": "15", "metadata": {}, "source": [ "Add a basemap." ] }, { "cell_type": "code", "execution_count": null, "id": "16", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "m.add_basemap(\"OpenTopoMap\")\n", "m" ] }, { "cell_type": "markdown", "id": "17", "metadata": {}, "source": [ "Add XYZ tile layer." ] }, { "cell_type": "code", "execution_count": null, "id": "18", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "tile_url = \"https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}\"\n", "m.add_tile_layer(tile_url, name=\"Google Satellite\", attribution=\"Google\", opacity=1.0)\n", "m" ] }, { "cell_type": "markdown", "id": "19", "metadata": {}, "source": [ "Add a mapbox tile layer. You will need a mapbox token. The map style can be Can be \"basic\", \"streets\", \"outdoors\", \"light\", \"dark\", \"satellite\", or \"satellite-streets\"." ] }, { "cell_type": "code", "execution_count": null, "id": "20", "metadata": {}, "outputs": [], "source": [ "import os" ] }, { "cell_type": "code", "execution_count": null, "id": "21", "metadata": {}, "outputs": [], "source": [ "# os.environ[\"MAPBOX_TOKEN\"] = \"your-mapbox-token\"" ] }, { "cell_type": "code", "execution_count": null, "id": "22", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "m.add_mapbox_layer(style=\"streets\")\n", "m" ] }, { "cell_type": "markdown", "id": "23", "metadata": {}, "source": [ "Remove the modebar in the upper-right corner." ] }, { "cell_type": "code", "execution_count": null, "id": "24", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map(basemap=\"stamen-toner\")\n", "m" ] }, { "cell_type": "code", "execution_count": null, "id": "25", "metadata": {}, "outputs": [], "source": [ "m.clear_controls()" ] }, { "cell_type": "markdown", "id": "26", "metadata": {}, "source": [ "Add more buttons to the modebar." ] }, { "cell_type": "code", "execution_count": null, "id": "27", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map(basemap=\"carto-positron\")\n", "controls = [\n", " \"drawline\",\n", " \"drawopenpath\",\n", " \"drawclosedpath\",\n", " \"drawcircle\",\n", " \"drawrect\",\n", " \"eraseshape\",\n", "]\n", "m.add_controls(controls)\n", "m" ] }, { "cell_type": "markdown", "id": "28", "metadata": {}, "source": [ "Add Cloud Optimized GeoTIFF." ] }, { "cell_type": "code", "execution_count": null, "id": "29", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "url = \"https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif\"\n", "m.add_cog_layer(url, name=\"Fire (pre-event)\")\n", "m" ] }, { "cell_type": "markdown", "id": "30", "metadata": {}, "source": [ "Add a STAC item via HTTP URL." ] }, { "cell_type": "code", "execution_count": null, "id": "31", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "url = \"https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json\"\n", "m.add_stac_layer(url, bands=[\"B3\", \"B2\", \"B1\"], name=\"False color\")\n", "m" ] }, { "cell_type": "markdown", "id": "32", "metadata": {}, "source": [ "Add a STAC item from Microsoft Planetary Computer." ] }, { "cell_type": "code", "execution_count": null, "id": "33", "metadata": {}, "outputs": [], "source": [ "collection = \"landsat-8-c2-l2\"\n", "item = \"LC08_L2SP_047027_20201204_02_T1\"" ] }, { "cell_type": "code", "execution_count": null, "id": "34", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "m.add_stac_layer(\n", " collection=collection,\n", " item=item,\n", " bands=[\"SR_B7\", \"SR_B5\", \"SR_B4\"],\n", " titiler_endpoint=\"pc\",\n", ")\n", "m" ] }, { "cell_type": "markdown", "id": "35", "metadata": {}, "source": [ "Add a heat map." ] }, { "cell_type": "code", "execution_count": null, "id": "36", "metadata": {}, "outputs": [], "source": [ "url = \"https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv\"" ] }, { "cell_type": "code", "execution_count": null, "id": "37", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map(basemap=\"stamen-terrain\")\n", "m.add_heatmap(\n", " url, latitude=\"Latitude\", longitude=\"Longitude\", z=\"Magnitude\", name=\"Earthquake\"\n", ")\n", "m" ] }, { "cell_type": "markdown", "id": "38", "metadata": {}, "source": [ "Add a choropleth map." ] }, { "cell_type": "code", "execution_count": null, "id": "39", "metadata": {}, "outputs": [], "source": [ "url = \"https://raw.githubusercontent.com/gee-community/geemap/master/examples/data/countries.geojson\"" ] }, { "cell_type": "code", "execution_count": null, "id": "40", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map(basemap=\"stamen-terrain\")\n", "m.add_choropleth_map(url, name=\"Pop\", z=\"POP_EST\", colorscale=\"Viridis\")\n", "m" ] }, { "cell_type": "markdown", "id": "41", "metadata": {}, "source": [ "Add Earth Engine layers." ] }, { "cell_type": "code", "execution_count": null, "id": "42", "metadata": {}, "outputs": [], "source": [ "m = geemap.Map()\n", "m.add_basemap(\"HYBRID\")" ] }, { "cell_type": "code", "execution_count": null, "id": "43", "metadata": {}, "outputs": [], "source": [ "# Add Earth Engine dataset\n", "dem = ee.Image(\"USGS/SRTMGL1_003\")\n", "landsat7 = ee.Image(\"LANDSAT/LE7_TOA_5YEAR/1999_2003\").select(\n", " [\"B1\", \"B2\", \"B3\", \"B4\", \"B5\", \"B7\"]\n", ")\n", "states = ee.FeatureCollection(\"TIGER/2018/States\")\n", "\n", "# Set visualization parameters.\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 4000,\n", " \"palette\": [\"006633\", \"E5FFCC\", \"662A00\", \"D8D8D8\", \"F5F5F5\"],\n", "}\n", "\n", "# Add Earth Engine layers to Map\n", "m.addLayer(dem, vis_params, \"SRTM DEM\", True, 0.5)\n", "m.addLayer(\n", " landsat7,\n", " {\"bands\": [\"B4\", \"B3\", \"B2\"], \"min\": 20, \"max\": 200, \"gamma\": 2.0},\n", " \"Landsat 7\",\n", ")\n", "m.addLayer(states, {}, \"US States\")" ] }, { "cell_type": "code", "execution_count": null, "id": "44", "metadata": {}, "outputs": [], "source": [ "m.show()" ] }, { "cell_type": "markdown", "id": "45", "metadata": {}, "source": [ "![](https://i.imgur.com/KH8jGFF.gif)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }