{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "\"Open\n", "\n", "**Developing interactive web apps with gradio and leafmap**\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 -U geemap gradio" ] }, { "cell_type": "code", "execution_count": null, "id": "2", "metadata": {}, "outputs": [], "source": [ "import ee\n", "import gradio as gr\n", "import geemap.foliumap as geemap" ] }, { "cell_type": "code", "execution_count": null, "id": "3", "metadata": {}, "outputs": [], "source": [ "Map = geemap.Map(center=[21.79, 70.87], zoom=3)\n", "image = ee.Image(\"USGS/SRTMGL1_003\")\n", "vis_params = {\n", " \"min\": 0,\n", " \"max\": 6000,\n", " \"palette\": \"terrain\",\n", "}\n", "Map.addLayer(image, vis_params, \"SRTM\")\n", "Map" ] }, { "cell_type": "markdown", "id": "4", "metadata": {}, "source": [ "Visualize an Earth Engine layer." ] }, { "cell_type": "code", "execution_count": null, "id": "5", "metadata": {}, "outputs": [], "source": [ "def viz_dem(vmin, vmax, palette):\n", " Map = geemap.Map()\n", " image = ee.Image(\"USGS/SRTMGL1_003\")\n", " vis_params = {\n", " \"min\": vmin,\n", " \"max\": vmax,\n", " \"palette\": palette,\n", " }\n", " Map.addLayer(image, vis_params, \"SRTM\")\n", " return Map.to_gradio()\n", "\n", "\n", "vmin = gr.Number(value=0, label=\"Min value\")\n", "vmax = gr.Number(value=6000, label=\"Max value\")\n", "palette = gr.Textbox(value=\"terrain\", label=\"Palette\")\n", "title = \"Visualize Earth Engine Data\"\n", "demo = gr.Interface(viz_dem, [vmin, vmax, palette], \"html\", title=title)\n", "demo.launch()" ] }, { "cell_type": "markdown", "id": "6", "metadata": {}, "source": [ "Visualize Earth Engine layers side by side." ] }, { "cell_type": "code", "execution_count": null, "id": "7", "metadata": {}, "outputs": [], "source": [ "def split(left, right):\n", " Map = geemap.Map(center=(40, -100), zoom=4, height=600)\n", "\n", " nlcd_left = ee.Image(f\"USGS/NLCD_RELEASES/2019_REL/NLCD/{left}\").select(\"landcover\")\n", " nlcd_right = ee.Image(f\"USGS/NLCD_RELEASES/2019_REL/NLCD/{right}\").select(\n", " \"landcover\"\n", " )\n", "\n", " left_layer = geemap.ee_tile_layer(nlcd_left, {}, f\"NLCD {left}\")\n", " right_layer = geemap.ee_tile_layer(nlcd_right, {}, f\"NLCD {right}\")\n", "\n", " Map.split_map(\n", " left_layer,\n", " right_layer,\n", " )\n", " return Map.to_gradio()\n", "\n", "\n", "left_input = gr.Textbox(value=\"2001\", label=\"Left Layer URL\")\n", "right_input = gr.Textbox(value=\"2019\", label=\"Right Layer URL\")\n", "\n", "title = \"Visualizing National Land Cover Database (NLCD)\"\n", "demo = gr.Interface(split, [left_input, right_input], \"html\", title=title)\n", "demo.launch()" ] }, { "cell_type": "markdown", "id": "8", "metadata": {}, "source": [ "Visualize Cloud Optimized GeoTIFF (COG)." ] }, { "cell_type": "code", "execution_count": null, "id": "9", "metadata": {}, "outputs": [], "source": [ "def split(left, right):\n", " Map = geemap.Map(center=[21.79, 70.87], zoom=3)\n", " Map.split_map(left, right)\n", " print(Map.options[\"layersControl\"])\n", " return Map.to_gradio()\n", "\n", "\n", "left_url = (\n", " \"https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif\"\n", ")\n", "right_url = (\n", " \"https://github.com/opengeos/data/releases/download/raster/Libya-2023-09-13.tif\"\n", ")\n", "left_input = gr.Textbox(value=left_url, label=\"Left Layer URL\")\n", "right_input = gr.Textbox(value=right_url, label=\"Right Layer URL\")\n", "title = \"Visualze Cloud Optimized GeoTIFF (COG)\"\n", "demo = gr.Interface(split, [left_input, right_input], \"html\", title=title)\n", "demo.launch()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }