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2023-11-08 tellus-traveler-demo.ipynb
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2023-11-08-tellus-traveler-demo.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyNjm0ZzlUJgNFCngUOAjpZJ",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/sankichi92/3b4e02dbbdfb9f8d6524700b9e02741e/2023-11-08-tellus-traveler-demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# tellus-traveler demo\n",
"\n",
"Tellus Satellite Cafe vol.3 (2023-11-08) の LT「PythonからTellus Travelerを利用する」のデモ。\n",
"\n",
"さくらインターネットのある新宿区の ALOS AVNIR-2 データを検索し、True Color 画像や False Color 画像、NDVI を表示する。"
],
"metadata": {
"id": "vJc4kis5uGpX"
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jjKCxnG1s2_O",
"outputId": "6a14160c-dafb-4e83-d9d3-b29e9e8f151c"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"2023-11-05 03:04:13+00:00\n"
]
}
],
"source": [
"!date --rfc-3339=seconds"
]
},
{
"cell_type": "code",
"source": [
"!pip install tellus-traveler mapclassify rioxarray japanize_matplotlib"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "PHTyhZU4tUBH",
"outputId": "ffa78ff9-0d8d-42e1-f6f0-802794bda3c8",
"collapsed": true
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: tellus-traveler in /usr/local/lib/python3.10/dist-packages (0.3.0)\n",
"Requirement already satisfied: mapclassify in /usr/local/lib/python3.10/dist-packages (2.6.1)\n",
"Requirement already satisfied: rioxarray in /usr/local/lib/python3.10/dist-packages (0.15.0)\n",
"Requirement already satisfied: japanize_matplotlib in /usr/local/lib/python3.10/dist-packages (1.1.3)\n",
"Requirement already satisfied: requests>=2.31.0 in /usr/local/lib/python3.10/dist-packages (from tellus-traveler) (2.31.0)\n",
"Requirement already satisfied: networkx>=2.7 in /usr/local/lib/python3.10/dist-packages (from mapclassify) (3.2)\n",
"Requirement already satisfied: numpy>=1.23 in /usr/local/lib/python3.10/dist-packages (from mapclassify) (1.23.5)\n",
"Requirement already satisfied: pandas!=1.5.0,>=1.4 in /usr/local/lib/python3.10/dist-packages (from mapclassify) (1.5.3)\n",
"Requirement already satisfied: scikit-learn>=1.0 in /usr/local/lib/python3.10/dist-packages (from mapclassify) (1.2.2)\n",
"Requirement already satisfied: scipy>=1.8 in /usr/local/lib/python3.10/dist-packages (from mapclassify) (1.11.3)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from rioxarray) (23.2)\n",
"Requirement already satisfied: rasterio>=1.2 in /usr/local/lib/python3.10/dist-packages (from rioxarray) (1.3.9)\n",
"Requirement already satisfied: xarray>=0.17 in /usr/local/lib/python3.10/dist-packages (from rioxarray) (2023.7.0)\n",
"Requirement already satisfied: pyproj>=2.2 in /usr/local/lib/python3.10/dist-packages (from rioxarray) (3.6.1)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from japanize_matplotlib) (3.7.1)\n",
"Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2023.3.post1)\n",
"Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from pyproj>=2.2->rioxarray) (2023.7.22)\n",
"Requirement already satisfied: affine in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (2.4.0)\n",
"Requirement already satisfied: attrs in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (23.1.0)\n",
"Requirement already satisfied: click>=4.0 in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (8.1.7)\n",
"Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (0.7.2)\n",
"Requirement already satisfied: snuggs>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (1.4.7)\n",
"Requirement already satisfied: click-plugins in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (1.1.1)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from rasterio>=1.2->rioxarray) (67.7.2)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31.0->tellus-traveler) (3.3.1)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31.0->tellus-traveler) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31.0->tellus-traveler) (2.0.7)\n",
"Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0->mapclassify) (1.3.2)\n",
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0->mapclassify) (3.2.0)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize_matplotlib) (1.1.1)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize_matplotlib) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize_matplotlib) (4.43.1)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize_matplotlib) (1.4.5)\n",
"Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize_matplotlib) (9.4.0)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->japanize_matplotlib) (3.1.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas!=1.5.0,>=1.4->mapclassify) (1.16.0)\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"APIトークンをセットする。"
],
"metadata": {
"id": "_lqFi7LlvZ-b"
}
},
{
"cell_type": "code",
"source": [
"import tellus_traveler\n",
"from getpass import getpass\n",
"\n",
"tellus_traveler.api_token = getpass()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "s9uJP2UotuO_",
"outputId": "1a8c8d89-5cf4-4a42-c755-aa42db62ade6"
},
"execution_count": 3,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"··········\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"[Linked Open Addresses Japan](https://uedayou.net/loa/) より、AOI (Area Of Interest) である新宿区のポリゴンデータを取得する。"
],
"metadata": {
"id": "7tebL235zoSL"
}
},
{
"cell_type": "code",
"source": [
"import urllib.parse\n",
"import geopandas as gpd\n",
"\n",
"aoi = \"新宿区\"\n",
"aoi_gdf = gpd.read_file(f\"https://uedayou.net/loa/{urllib.parse.quote(aoi)}.geojson\")\n",
"aoi_gdf.total_bounds"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1jXT39CSvYPn",
"outputId": "720df425-7bdd-4002-c14d-b757b390f457"
},
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([139.67343778, 35.67343308, 139.74587044, 35.72951995])"
]
},
"metadata": {},
"execution_count": 4
}
]
},
{
"cell_type": "markdown",
"source": [
"AOI の AVNIR-2 データを検索する。 \n",
"ALOS の運用終了が2011年4月のため、その直前2ヶ月を対象にする。\n",
"\n",
"（AVNIR-2 のデータセットIDは https://www.tellusxdp.com/traveler/dataset/ea71ef6e-9569-49fc-be16-ba98d876fb73/ より確認。）"
],
"metadata": {
"id": "4Y0UfCbzgvoV"
}
},
{
"cell_type": "code",
"source": [
"search = tellus_traveler.search(\n",
" datasets=[\"ea71ef6e-9569-49fc-be16-ba98d876fb73\"], # AVNIR-2\n",
" bbox=aoi_gdf.total_bounds,\n",
" start_datetime=\"2011-03-01T00:00:00Z\",\n",
" end_datetime=\"2011-05-01T00:00:00Z\",\n",
")\n",
"search.total()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eLNFOoPGzfgf",
"outputId": "3bd331ef-2a9b-4468-b26a-878c44b4b180"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"2"
]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "markdown",
"source": [
"[GeoPandas](https://geopandas.org/) を使って検索結果を地図上に表示する。"
],
"metadata": {
"id": "7vSmu5qaO--Z"
}
},
{
"cell_type": "code",
"source": [
"import folium\n",
"\n",
"scenes = list(search.scenes())\n",
"search_results_gdf = gpd.GeoDataFrame.from_features(scenes, crs=\"EPSG:4326\")\n",
"map = search_results_gdf.explore(\"tellus:name\", popup=True)\n",
"folium.GeoJson(aoi_gdf).add_to(map)\n",
"map"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 628
},
"id": "2Ec3gr3pi9kY",
"outputId": "43336ffe-1871-4151-9263-abbffcf71fc3"
},
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<folium.folium.Map at 0x7aff941ad0f0>"
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"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
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" \n",
" &lt;script&gt;\n",
" L_NO_TOUCH = false;\n",
" L_DISABLE_3D = false;\n",
" &lt;/script&gt;\n",
" \n",
" &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
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" &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
" &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
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" .foliumpopup th{\n",
" padding: 2px; padding-right: 8px;\n",
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" &lt;/style&gt;\n",
" \n",
" \n",
" &lt;script src=&quot;https://code.jquery.com/ui/1.12.1/jquery-ui.js&quot;&gt;&lt;/script&gt;\n",
" &lt;script&gt;$( function() {\n",
" $( &quot;.maplegend&quot; ).draggable({\n",
" start: function (event, ui) {\n",
" $(this).css({\n",
" right: &quot;auto&quot;,\n",
" top: &quot;auto&quot;,\n",
" bottom: &quot;auto&quot;\n",
" });\n",
" }\n",
" });\n",
" });\n",
" &lt;/script&gt;\n",
" &lt;style type=&#x27;text/css&#x27;&gt;\n",
" .maplegend {\n",
" position: absolute;\n",
" z-index:9999;\n",
" background-color: rgba(255, 255, 255, .8);\n",
" border-radius: 5px;\n",
" box-shadow: 0 0 15px rgba(0,0,0,0.2);\n",
" padding: 10px;\n",
" font: 12px/14px Arial, Helvetica, sans-serif;\n",
" right: 10px;\n",
" bottom: 20px;\n",
" }\n",
" .maplegend .legend-title {\n",
" text-align: left;\n",
" margin-bottom: 5px;\n",
" font-weight: bold;\n",
" }\n",
" .maplegend .legend-scale ul {\n",
" margin: 0;\n",
" margin-bottom: 0px;\n",
" padding: 0;\n",
" float: left;\n",
" list-style: none;\n",
" }\n",
" .maplegend .legend-scale ul li {\n",
" list-style: none;\n",
" margin-left: 0;\n",
" line-height: 16px;\n",
" margin-bottom: 2px;\n",
" }\n",
" .maplegend ul.legend-labels li span {\n",
" display: block;\n",
" float: left;\n",
" height: 14px;\n",
" width: 14px;\n",
" margin-right: 5px;\n",
" margin-left: 0;\n",
" border: 0px solid #ccc;\n",
" }\n",
" .maplegend .legend-source {\n",
" color: #777;\n",
" clear: both;\n",
" }\n",
" .maplegend a {\n",
" color: #777;\n",
" }\n",
" &lt;/style&gt;\n",
" \n",
"&lt;/head&gt;\n",
"&lt;body&gt;\n",
" \n",
" \n",
" &lt;div id=&#x27;maplegend tellus:name&#x27; class=&#x27;maplegend&#x27;&gt;\n",
" &lt;div class=&#x27;legend-title&#x27;&gt;tellus:name&lt;/div&gt;\n",
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" }\n",
" function geo_json_5af98743d50d3cca630a1365a0602bab_pointToLayer(feature, latlng) {\n",
" var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
" \n",
" let style = geo_json_5af98743d50d3cca630a1365a0602bab_styler(feature)\n",
" Object.assign(opts, style)\n",
" \n",
" return new L.CircleMarker(latlng, opts)\n",
" }\n",
"\n",
" function geo_json_5af98743d50d3cca630a1365a0602bab_onEachFeature(feature, layer) {\n",
" layer.on({\n",
" mouseout: function(e) {\n",
" if(typeof e.target.setStyle === &quot;function&quot;){\n",
" geo_json_5af98743d50d3cca630a1365a0602bab.resetStyle(e.target);\n",
" }\n",
" },\n",
" mouseover: function(e) {\n",
" if(typeof e.target.setStyle === &quot;function&quot;){\n",
" const highlightStyle = geo_json_5af98743d50d3cca630a1365a0602bab_highlighter(e.target.feature)\n",
" e.target.setStyle(highlightStyle);\n",
" }\n",
" },\n",
" });\n",
" };\n",
" var geo_json_5af98743d50d3cca630a1365a0602bab = L.geoJson(null, {\n",
" onEachFeature: geo_json_5af98743d50d3cca630a1365a0602bab_onEachFeature,\n",
" \n",
" style: geo_json_5af98743d50d3cca630a1365a0602bab_styler,\n",
" pointToLayer: geo_json_5af98743d50d3cca630a1365a0602bab_pointToLayer\n",
" });\n",
"\n",
" function geo_json_5af98743d50d3cca630a1365a0602bab_add (data) {\n",
" geo_json_5af98743d50d3cca630a1365a0602bab\n",
" .addData(data)\n",
" .addTo(map_13208974f0d192c8d57ca523320071e0);\n",
" }\n",
" geo_json_5af98743d50d3cca630a1365a0602bab_add({&quot;bbox&quot;: [138.9969203, 35.1943315, 140.2281045, 36.1467112], &quot;features&quot;: [{&quot;bbox&quot;: [139.2500135, 35.1943315, 140.2281045, 36.044608], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[139.2500135, 35.341636], [140.0245532, 35.1943315], [140.2281045, 35.8961588], [139.4470507, 36.044608], [139.2500135, 35.341636]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#1f77b4&quot;, &quot;created&quot;: &quot;2021-09-22T05:34:37.723679+00:00&quot;, &quot;end_datetime&quot;: &quot;2011-03-12T01:30:24.577177+00:00&quot;, &quot;eo:cloud_cover&quot;: 1.0, &quot;gsd&quot;: 10.0, &quot;processing:level&quot;: &quot;L1B1&quot;, &quot;sat:orbit_state&quot;: &quot;descending&quot;, &quot;sat:relative_orbit&quot;: 68, &quot;start_datetime&quot;: &quot;2011-03-12T01:30:24.577177+00:00&quot;, &quot;tellus:bands&quot;: [&quot;band1&quot;, &quot;band2&quot;, &quot;band3&quot;, &quot;band4&quot;], &quot;tellus:can_ordered&quot;: true, &quot;tellus:name&quot;: &quot;ALAV2A273212880&quot;, &quot;tellus:pointing_angle&quot;: 0.0, &quot;tellus:published_datetime&quot;: &quot;2021-09-22T05:35:07.823797+00:00&quot;, &quot;tellus:sat_frame&quot;: 2880, &quot;updated&quot;: &quot;2021-10-22T20:13:49.951839+00:00&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [138.9969203, 35.29503, 139.9790912, 36.1467112], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[138.9969203, 35.4442474], [139.7729523, 35.29503], [139.9790912, 35.9963541], [139.1965042, 36.1467112], [138.9969203, 35.4442474]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;#9edae5&quot;, &quot;created&quot;: &quot;2021-09-22T04:47:09.092590+00:00&quot;, &quot;end_datetime&quot;: &quot;2011-03-29T01:32:06.633250+00:00&quot;, &quot;eo:cloud_cover&quot;: 1.0, &quot;gsd&quot;: 10.0, &quot;processing:level&quot;: &quot;L1B1&quot;, &quot;sat:orbit_state&quot;: &quot;descending&quot;, &quot;sat:relative_orbit&quot;: 69, &quot;start_datetime&quot;: &quot;2011-03-29T01:32:06.633250+00:00&quot;, &quot;tellus:bands&quot;: [&quot;band1&quot;, &quot;band2&quot;, &quot;band3&quot;, &quot;band4&quot;], &quot;tellus:can_ordered&quot;: true, &quot;tellus:name&quot;: &quot;ALAV2A275692880&quot;, &quot;tellus:pointing_angle&quot;: 1.9, &quot;tellus:published_datetime&quot;: &quot;2021-09-22T04:47:40.257240+00:00&quot;, &quot;tellus:sat_frame&quot;: 2880, &quot;updated&quot;: &quot;2021-10-22T13:30:26.951646+00:00&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
"\n",
" \n",
" \n",
" geo_json_5af98743d50d3cca630a1365a0602bab.bindTooltip(\n",
" function(layer){\n",
" let div = L.DomUtil.create(&#x27;div&#x27;);\n",
" \n",
" let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
" let fields = [&quot;tellus:pointing_angle&quot;, &quot;processing:level&quot;, &quot;sat:relative_orbit&quot;, &quot;start_datetime&quot;, &quot;end_datetime&quot;, &quot;tellus:name&quot;, &quot;tellus:bands&quot;, &quot;created&quot;, &quot;tellus:can_ordered&quot;, &quot;tellus:sat_frame&quot;, &quot;tellus:published_datetime&quot;, &quot;sat:orbit_state&quot;, &quot;eo:cloud_cover&quot;, &quot;gsd&quot;, &quot;updated&quot;];\n",
" let aliases = [&quot;tellus:pointing_angle&quot;, &quot;processing:level&quot;, &quot;sat:relative_orbit&quot;, &quot;start_datetime&quot;, &quot;end_datetime&quot;, &quot;tellus:name&quot;, &quot;tellus:bands&quot;, &quot;created&quot;, &quot;tellus:can_ordered&quot;, &quot;tellus:sat_frame&quot;, &quot;tellus:published_datetime&quot;, &quot;sat:orbit_state&quot;, &quot;eo:cloud_cover&quot;, &quot;gsd&quot;, &quot;updated&quot;];\n",
" let table = &#x27;&lt;table&gt;&#x27; +\n",
" String(\n",
" fields.map(\n",
" (v,i)=&gt;\n",
" `&lt;tr&gt;\n",
" &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
" \n",
" &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
" &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
" +&#x27;&lt;/table&gt;&#x27;;\n",
" div.innerHTML=table;\n",
" \n",
" return div\n",
" }\n",
" ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
" \n",
" \n",
" geo_json_5af98743d50d3cca630a1365a0602bab.bindPopup(\n",
" function(layer){\n",
" let div = L.DomUtil.create(&#x27;div&#x27;);\n",
" \n",
" let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
" let fields = [&quot;tellus:pointing_angle&quot;, &quot;processing:level&quot;, &quot;sat:relative_orbit&quot;, &quot;start_datetime&quot;, &quot;end_datetime&quot;, &quot;tellus:name&quot;, &quot;tellus:bands&quot;, &quot;created&quot;, &quot;tellus:can_ordered&quot;, &quot;tellus:sat_frame&quot;, &quot;tellus:published_datetime&quot;, &quot;sat:orbit_state&quot;, &quot;eo:cloud_cover&quot;, &quot;gsd&quot;, &quot;updated&quot;];\n",
" let aliases = [&quot;tellus:pointing_angle&quot;, &quot;processing:level&quot;, &quot;sat:relative_orbit&quot;, &quot;start_datetime&quot;, &quot;end_datetime&quot;, &quot;tellus:name&quot;, &quot;tellus:bands&quot;, &quot;created&quot;, &quot;tellus:can_ordered&quot;, &quot;tellus:sat_frame&quot;, &quot;tellus:published_datetime&quot;, &quot;sat:orbit_state&quot;, &quot;eo:cloud_cover&quot;, &quot;gsd&quot;, &quot;updated&quot;];\n",
" let table = &#x27;&lt;table&gt;&#x27; +\n",
" String(\n",
" fields.map(\n",
" (v,i)=&gt;\n",
" `&lt;tr&gt;\n",
" &lt;th&gt;${aliases[i].toLocaleString()}&lt;/th&gt;\n",
" \n",
" &lt;td&gt;${handleObject(layer.feature.properties[v]).toLocaleString()}&lt;/td&gt;\n",
" &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
" +&#x27;&lt;/table&gt;&#x27;;\n",
" div.innerHTML=table;\n",
" \n",
" return div\n",
" }\n",
" ,{&quot;className&quot;: &quot;foliumpopup&quot;});\n",
" \n",
" \n",
"\n",
" function geo_json_8f4f1b57435162e1fa95abcfc32cb061_onEachFeature(feature, layer) {\n",
" layer.on({\n",
" });\n",
" };\n",
" var geo_json_8f4f1b57435162e1fa95abcfc32cb061 = L.geoJson(null, {\n",
" onEachFeature: geo_json_8f4f1b57435162e1fa95abcfc32cb061_onEachFeature,\n",
" \n",
" });\n",
"\n",
" function geo_json_8f4f1b57435162e1fa95abcfc32cb061_add (data) {\n",
" geo_json_8f4f1b57435162e1fa95abcfc32cb061\n",
" .addData(data)\n",
" .addTo(map_13208974f0d192c8d57ca523320071e0);\n",
" }\n",
" geo_json_8f4f1b57435162e1fa95abcfc32cb061_add({&quot;bbox&quot;: [139.67343778000003, 35.67343308, 139.74587044, 35.729519950000004], &quot;features&quot;: [{&quot;bbox&quot;: [139.67343778000003, 35.67343308, 139.74587044, 35.729519950000004], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[139.71396986000002, 35.67918308], [139.71362317, 35.6785728], [139.71349872000002, 35.678353640000005], [139.71290511, 35.6772878], [139.71289706000002, 35.677044470000006], [139.71290372, 35.67690253000001], [139.71291983, 35.676567250000005], [139.71296233, 35.67621836000001], [139.71295789, 35.676093640000005], [139.71294261, 35.6756478], [139.71292842000003, 35.675242530000006], [139.71291514, 35.67500003], [139.71291514, 35.675000000000004], [139.71289425, 35.674618360000004], [139.71307842000002, 35.67459753], [139.71368842, 35.674615870000004], [139.71386508, 35.67470113], [139.71465255, 35.675000000000004], [139.71465263000002, 35.67500003], [139.71472289000002, 35.67502669], [139.71485956, 35.675078080000006], [139.71489922, 35.67500003], [139.71489922, 35.675000000000004], [139.71508289000002, 35.674638640000005], [139.71546231000002, 35.673890310000004], [139.71600455, 35.674010030000005], [139.71615733000002, 35.67404364], [139.71655842, 35.67343308], [139.71666667, 35.67346131], [139.71667008, 35.6734622], [139.71726399000002, 35.673616970000005], [139.71814484, 35.67393003], [139.718724, 35.67417725000001], [139.71927538000003, 35.674412530000005], [139.71947567, 35.674498080000006], [139.71960012000002, 35.674710590000004], [139.719739, 35.674947530000004], [139.71975416, 35.6749748], [139.7197682, 35.675000000000004], [139.7197682, 35.67500003], [139.71994844000002, 35.675324200000006], [139.71990455000002, 35.67546475], [139.71988872, 35.67551587], [139.71978097000002, 35.67575475], [139.71979903000002, 35.67582697], [139.71973319, 35.676281970000005], [139.71961958000003, 35.67665833], [139.71986263000002, 35.67672695], [139.71955986, 35.67740695], [139.71966958000002, 35.67744889], [139.71983153000002, 35.67751056], [139.71993681, 35.67755084], [139.7197693, 35.677879440000005], [139.71958403000002, 35.67831], [139.71948791, 35.67841056], [139.71960097000002, 35.678490000000004], [139.71975124000002, 35.67840584], [139.71985875000001, 35.67840584], [139.71988263, 35.67850722], [139.71989652000002, 35.67860333], [139.71993070000002, 35.67868111000001], [139.72007652000002, 35.67877167], [139.72014292, 35.67881305], [139.72047044, 35.67901639], [139.72064600000002, 35.67912556], [139.72115766000002, 35.679315280000004], [139.72121767000002, 35.679245], [139.72155711, 35.678847780000005], [139.72215905000002, 35.67902944], [139.72257905, 35.679063330000005], [139.72266601, 35.67856195], [139.72272739000002, 35.67825251000001], [139.72327239, 35.678558890000005], [139.72322764, 35.678761390000005], [139.72321628, 35.67881305], [139.7231685, 35.67902805000001], [139.723181, 35.67905528], [139.72320433000002, 35.67910556], [139.72367711, 35.679088330000006], [139.72385044, 35.679088330000006], [139.72404988000002, 35.67911861], [139.72412572000002, 35.67913], [139.72421416, 35.6791605], [139.72466406, 35.679315280000004], [139.72468683000002, 35.679317780000005], [139.72493322000003, 35.67934528], [139.72500000000002, 35.679309360000005], [139.7250035, 35.679307470000005], [139.72513822000002, 35.679235000000006], [139.72538878, 35.67910056], [139.72553822, 35.67910056], [139.72572822, 35.679130560000004], [139.72604433, 35.67910639], [139.72622572000003, 35.679033610000005], [139.7267485, 35.679288050000004], [139.72680492, 35.67942084], [139.72690742, 35.67966251000001], [139.72698603, 35.679807770000004], [139.72715547, 35.680122780000005], [139.72722547, 35.68025251], [139.72751464, 35.680808330000005], [139.72757519, 35.68105861], [139.72764964, 35.681513890000005], [139.72771353000002, 35.68164417], [139.72778547000001, 35.68179028], [139.72782713, 35.68187528], [139.72833911, 35.68263944], [139.72845051000002, 35.682805280000004], [139.72845633, 35.68281417], [139.72852883000002, 35.68283222], [139.72912800000003, 35.68281944], [139.72956467, 35.682810280000005], [139.72973411, 35.68253028], [139.72975827000002, 35.68249028], [139.729833, 35.68229611], [139.72990467000002, 35.682190840000004], [139.73021523, 35.681733050000005], [139.73051078, 35.68130917], [139.73054051000003, 35.68126667], [139.73070995, 35.681023890000006], [139.73091577, 35.681146670000004], [139.73094328000002, 35.681163330000004], [139.73099051000003, 35.68119139], [139.73107910000002, 35.68124444000001], [139.73149939, 35.68149528], [139.73120161000003, 35.68197611], [139.73102355, 35.68232444], [139.73100355000003, 35.68236333], [139.73075300000002, 35.68287775], [139.73060772000002, 35.683249970000006], [139.73057525000002, 35.68333331], [139.73057525000002, 35.68333333], [139.73056411000002, 35.68336192], [139.73048494000003, 35.683550800000006], [139.73041467000002, 35.68382303], [139.73032217000002, 35.68424969], [139.73026939000002, 35.68451303], [139.73019411, 35.68466164], [139.73017411, 35.6847008], [139.73012636, 35.684904970000005], [139.73011942000002, 35.684935800000005], [139.73007552, 35.68512303], [139.73004942, 35.68523553], [139.73001469000002, 35.68538413], [139.73000136000002, 35.68554192], [139.73004553, 35.68570414], [139.73009053, 35.68578636], [139.73016414000003, 35.685920530000004], [139.73019053000002, 35.68607413], [139.73025219000002, 35.68631553], [139.73026109, 35.68645053], [139.73026414000003, 35.68649331], [139.73027275, 35.686624970000004], [139.73027859, 35.686711360000004], [139.73037969, 35.68696664], [139.73066553, 35.68753803], [139.73076219, 35.68787664], [139.73079306, 35.68810441], [139.73084501000002, 35.68829497], [139.73095528000002, 35.68847413], [139.73101694000002, 35.688628030000004], [139.73104333, 35.688759690000005], [139.73109445, 35.6889758], [139.73117528000003, 35.68914247], [139.73123694, 35.6892258], [139.73137722, 35.689401360000005], [139.73157528000002, 35.68957331], [139.73165861, 35.68962164], [139.73207805, 35.689796640000004], [139.73228722, 35.68988387], [139.73253250000002, 35.69001441], [139.73254278000002, 35.69001997], [139.73281083, 35.690162470000004], [139.73311392000002, 35.69037303], [139.73333333000002, 35.69052122], [139.73333698000002, 35.690523670000005], [139.73399086, 35.690965250000005], [139.73407003000003, 35.69101886], [139.7343628, 35.69120025], [139.73495558000002, 35.691507470000005], [139.73526586, 35.69166664], [139.73526591, 35.691666670000004], [139.73531947, 35.69169413], [139.73571309000002, 35.69189664], [139.73584392, 35.69196387], [139.73607752, 35.692083870000005], [139.73614253000002, 35.69211747], [139.73615475, 35.69212359], [139.73628364, 35.69218997], [139.73672756, 35.69250525], [139.737007, 35.692737470000004], [139.7375709, 35.693225250000005], [139.73779477000002, 35.69344108], [139.73783506, 35.6935258], [139.73822616, 35.69395275], 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]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "markdown",
"source": [
"サムネイル画像を確認する。"
],
"metadata": {
"id": "yEJpOfu1PXCQ"
}
},
{
"cell_type": "code",
"source": [
"from IPython.display import Image, display\n",
"\n",
"for scene in scenes:\n",
" thumb = scene.thumbnails()[0]\n",
" print(thumb[\"name\"])\n",
" display(Image(url=thumb.url()))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 949
},
"id": "CGYUVUdykZzQ",
"outputId": "630f85fd-4c50-4d70-8814-88ae8b8e3296"
},
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"ALAV2A273212880-OORIRFU-D068P3-20110312-002_thumb.png\n"
]
},
{
"output_type": "display_data",
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{
"cell_type": "markdown",
"source": [
"[rioxarray](https://corteva.github.io/rioxarray/) を使って雲の少ない2つ目のデータの COG ファイルを読み込む。"
],
"metadata": {
"id": "DPP_d27mPoQH"
}
},
{
"cell_type": "code",
"source": [
"import rioxarray\n",
"\n",
"scene = scenes[1]\n",
"cog_file = next(file for file in scene.files() if \"webcog\" in file[\"name\"])\n",
"cog_da = rioxarray.open_rasterio(cog_file.url(), masked=True)\n",
"cog_da = cog_da.assign_coords(band=[\"red\", \"green\", \"blue\", \"nir\"])\n",
"cog_da"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 327
},
"id": "KNwKJAXAm1ng",
"outputId": "5c2c05b3-bd00-4597-cad0-85442bee9213"
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<xarray.DataArray (band: 4, y: 8937, x: 10306)>\n",
"[368418888 values with dtype=float32]\n",
"Coordinates:\n",
" * band (band) <U5 'red' 'green' 'blue' 'nir'\n",
" * x (x) float64 139.0 139.0 139.0 139.0 ... 140.0 140.0 140.0 140.0\n",
" * y (y) float64 36.15 36.15 36.15 36.15 ... 35.3 35.3 35.3 35.3\n",
" spatial_ref int64 0\n",
"Attributes:\n",
" AREA_OR_POINT: Area\n",
" METADATATYPE: ALOS\n",
" TIFFTAG_IMAGEDESCRIPTION: 03+02+01+04\n",
" scale_factor: 1.0\n",
" add_offset: 0.0"
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".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (band: 4, y: 8937, x: 10306)&gt;\n",
"[368418888 values with dtype=float32]\n",
"Coordinates:\n",
" * band (band) &lt;U5 &#x27;red&#x27; &#x27;green&#x27; &#x27;blue&#x27; &#x27;nir&#x27;\n",
" * x (x) float64 139.0 139.0 139.0 139.0 ... 140.0 140.0 140.0 140.0\n",
" * y (y) float64 36.15 36.15 36.15 36.15 ... 35.3 35.3 35.3 35.3\n",
" spatial_ref int64 0\n",
"Attributes:\n",
" AREA_OR_POINT: Area\n",
" METADATATYPE: ALOS\n",
" TIFFTAG_IMAGEDESCRIPTION: 03+02+01+04\n",
" scale_factor: 1.0\n",
" add_offset: 0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 4</li><li><span class='xr-has-index'>y</span>: 8937</li><li><span class='xr-has-index'>x</span>: 10306</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4da3ba5c-bac7-4de6-af48-c1aff819c7e2' class='xr-array-in' type='checkbox' checked><label for='section-4da3ba5c-bac7-4de6-af48-c1aff819c7e2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[368418888 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-d1c15a31-1a6d-4833-bf72-8694b0eaa7e8' class='xr-section-summary-in' type='checkbox' checked><label for='section-d1c15a31-1a6d-4833-bf72-8694b0eaa7e8' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;red&#x27; &#x27;green&#x27; &#x27;blue&#x27; &#x27;nir&#x27;</div><input id='attrs-68d1facd-f66e-4f93-bed0-940834761849' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68d1facd-f66e-4f93-bed0-940834761849' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23adafd8-f612-4214-832b-10555d001b71' class='xr-var-data-in' type='checkbox'><label for='data-23adafd8-f612-4214-832b-10555d001b71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;red&#x27;, &#x27;green&#x27;, &#x27;blue&#x27;, &#x27;nir&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>139.0 139.0 139.0 ... 140.0 140.0</div><input id='attrs-d9925d26-13b2-441a-a000-a361b0366d41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9925d26-13b2-441a-a000-a361b0366d41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fb2e913-22f2-4a02-a1e3-a36d770481e0' class='xr-var-data-in' type='checkbox'><label for='data-5fb2e913-22f2-4a02-a1e3-a36d770481e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([138.996968, 138.997063, 138.997159, ..., 139.978818, 139.978913,\n",
" 139.979008])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.15 36.15 36.15 ... 35.3 35.3</div><input id='attrs-ceb2f9ba-4987-4051-a203-a9e7f118672d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ceb2f9ba-4987-4051-a203-a9e7f118672d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec547211-982f-432b-836e-cfc1c67d42ca' class='xr-var-data-in' type='checkbox'><label for='data-ec547211-982f-432b-836e-cfc1c67d42ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([36.146664, 36.146568, 36.146473, ..., 35.295276, 35.295181, 35.295085])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-abea40c7-1d9f-4a69-b98f-bc5124b0d5fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abea40c7-1d9f-4a69-b98f-bc5124b0d5fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5868be2f-91be-4b2d-a65f-7254206cf213' class='xr-var-data-in' type='checkbox'><label for='data-5868be2f-91be-4b2d-a65f-7254206cf213' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>138.99692028205115 9.529746128924844e-05 0.0 36.14671122380135 0.0 -9.529746128924844e-05</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9870c5e7-fbd7-4056-bcf1-f8dd078b544f' class='xr-section-summary-in' type='checkbox' ><label for='section-9870c5e7-fbd7-4056-bcf1-f8dd078b544f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51bf5523-58a7-4128-8723-30a847017889' class='xr-index-data-in' type='checkbox'/><label for='index-51bf5523-58a7-4128-8723-30a847017889' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;red&#x27;, &#x27;green&#x27;, &#x27;blue&#x27;, &#x27;nir&#x27;], dtype=&#x27;object&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e8ef092e-202d-4f7d-9931-c46aea51077b' class='xr-index-data-in' type='checkbox'/><label for='index-e8ef092e-202d-4f7d-9931-c46aea51077b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 138.9969679307818, 138.9970632282431, 138.99715852570438,\n",
" 138.99725382316566, 138.99734912062695, 138.99744441808826,\n",
" 138.99753971554955, 138.99763501301084, 138.99773031047212,\n",
" 138.9978256079334,\n",
" ...\n",
" 139.9781505922159, 139.9782458896772, 139.97834118713848,\n",
" 139.97843648459977, 139.97853178206105, 139.97862707952237,\n",
" 139.97872237698365, 139.97881767444494, 139.97891297190623,\n",
" 139.9790082693675],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=10306))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-77498fba-f560-46cb-b274-c3d189428a1c' class='xr-index-data-in' type='checkbox'/><label for='index-77498fba-f560-46cb-b274-c3d189428a1c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([36.146663575070704, 36.14656827760942, 36.146472980148125,\n",
" 36.14637768268684, 36.14628238522555, 36.14618708776426,\n",
" 36.14609179030297, 36.14599649284168, 36.14590119538039,\n",
" 36.145805897919104,\n",
" ...\n",
" 35.29594313814158, 35.295847840680295, 35.295752543219,\n",
" 35.29565724575772, 35.295561948296424, 35.29546665083514,\n",
" 35.295371353373845, 35.29527605591256, 35.29518075845127,\n",
" 35.29508546098998],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=8937))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07cf3b68-faaf-4bc9-8e7e-615f38a902b2' class='xr-section-summary-in' type='checkbox' checked><label for='section-07cf3b68-faaf-4bc9-8e7e-615f38a902b2' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>METADATATYPE :</span></dt><dd>ALOS</dd><dt><span>TIFFTAG_IMAGEDESCRIPTION :</span></dt><dd>03+02+01+04</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
]
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "markdown",
"source": [
"AOI でクリップし、True Color 画像を表示する。"
],
"metadata": {
"id": "oY2BB7CWQPyL"
}
},
{
"cell_type": "code",
"source": [
"%config InlineBackend.figure_formats = [\"retina\"]\n",
"import japanize_matplotlib\n",
"\n",
"aoi_da = cog_da.rio.clip_box(*aoi_gdf.total_bounds)\n",
"\n",
"ax = aoi_gdf.boundary.plot(figsize=(8, 8), color=\"tab:orange\")\n",
"aoi_da.sel(band=[\"red\", \"green\", \"blue\"]).astype(\"uint8\").plot.imshow(ax=ax)\n",
"ax.set_title(f\"{aoi} ({scene['tellus:name']})\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 734
},
"id": "_hgNYJYcqfGk",
"outputId": "6f347e2d-85eb-4701-a5c8-af0c012b7e32"
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0.5, 1.0, '新宿区 (ALAV2A275692880)')"
]
},
"metadata": {},
"execution_count": 9
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
],
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