{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/template.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n",
                "\n",
                "Uncomment the following line to install [geemap](https://geemap.org) if needed."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# !pip install geemap"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## How to download image thumbnails from an ImageCollection"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import os\n",
                "import ee\n",
                "import geemap"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "Map = geemap.Map()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "roi = ee.Geometry.Point([-122.44, 37.75])\n",
                "collection = (\n",
                "    ee.ImageCollection('LANDSAT/LC08/C01/T1_SR')\n",
                "    .filterBounds(roi)\n",
                "    .sort(\"CLOUD_COVER\")\n",
                "    .limit(10)\n",
                ")\n",
                "\n",
                "image = collection.first()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "vis_params = {\n",
                "    'bands': ['B6', 'B5', 'B4'],\n",
                "    'min': 0,\n",
                "    'max': 6000,\n",
                "    'gamma': 1.4,\n",
                "}\n",
                "\n",
                "Map.addLayer(image, vis_params, \"LANDSAT 7\")\n",
                "Map.setCenter(-122.44, 37.75, 8)\n",
                "Map"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "out_img = os.path.expanduser(\"~/Downloads/landsat.png\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.get_image_thumbnail(image, out_img, vis_params, dimensions=500, format='png')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.show_image(out_img)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "out_dir = os.path.expanduser(\"~/Downloads\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.get_image_collection_thumbnails(\n",
                "    collection, out_dir, vis_params, dimensions=500, format=\"jpg\"\n",
                ")"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}