{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/91_planetary_computer.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,
            "metadata": {},
            "outputs": [],
            "source": [
                "# !pip install geemap"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import geemap"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "If you are using a recently implemented geemap 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,
            "metadata": {},
            "outputs": [],
            "source": [
                "# geemap.update_package()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Add a STAC item via an HTTP URL"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "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'"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_assets(url)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_bounds(url)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_center(url)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# geemap.stac_info(url)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# geemap.stac_stats(url)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "m = geemap.Map()\n",
                "m.add_stac_layer(url, bands=[\"B3\", \"B2\", \"B1\"])\n",
                "m"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Add a Microsoft Planetry Computer STAC item. The titiler endpoint can set in one of the ways below:\n",
                "\n",
                "```\n",
                "os.environ[\"TITILER_ENDPOINT\"] = \"planetary-computer\"\n",
                "titiler_endpoint=\"pc\"\n",
                "titiler_endpoint=\"planetary-computer\"\n",
                "```"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# import os\n",
                "# os.environ[\"TITILER_ENDPOINT\"] = \"planetary-computer\""
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "collection = \"landsat-8-c2-l2\""
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "items = \"LC08_L2SP_047027_20201204_02_T1\""
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_assets(collection=collection, items=items, titiler_endpoint=\"pc\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_bounds(collection=collection, items=items)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_info(collection=collection, items=items, assets=\"SR_B7\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_stats(collection=collection, items=items, assets=\"SR_B7\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Color infrared composite."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "m = geemap.Map()\n",
                "m.add_stac_layer(\n",
                "    collection=collection,\n",
                "    items=items,\n",
                "    assets=\"SR_B5,SR_B4,SR_B3\",\n",
                "    name=\"Color infrared\",\n",
                ")\n",
                "m"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "False color composite."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "m = geemap.Map()\n",
                "m.add_stac_layer(\n",
                "    collection=collection, items=items, assets=\"SR_B7,SR_B5,SR_B4\", name=\"False color\"\n",
                ")\n",
                "m"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Calculate NDVI."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "geemap.stac_stats(\n",
                "    collection=collection,\n",
                "    items=items,\n",
                "    expression=\"(SR_B5-SR_B4)/(SR_B5+SR_B4)\",\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "m = geemap.Map()\n",
                "m.add_stac_layer(\n",
                "    collection=collection,\n",
                "    items=items,\n",
                "    expression=\"(SR_B5-SR_B4)/(SR_B5+SR_B4)\",\n",
                "    name=\"NDVI\",\n",
                ")\n",
                "m"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Calculate NDVI and add a colormap. See available colormaps at https://planetarycomputer.microsoft.com/docs/reference/data/"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "m = geemap.Map()\n",
                "m.add_stac_layer(\n",
                "    collection=collection,\n",
                "    items=items,\n",
                "    assets=\"SR_B5,SR_B4,SR_B3\",\n",
                "    name=\"Color infrared\",\n",
                ")\n",
                "m.add_stac_layer(\n",
                "    collection=collection,\n",
                "    items=items,\n",
                "    expression=\"(SR_B5-SR_B4)/(SR_B5+SR_B4)\",\n",
                "    colormap_name=\"greens\",\n",
                "    name=\"NDVI Green\",\n",
                ")\n",
                "m"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3",
            "language": "python",
            "name": "python3"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}