Google_Earth_Engine을_활용한_타임랩스_생성.ipynb

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      "source": [
        "# Google Earth Engine을 활용한 타임랩스 생성"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q -U ffmpeg-python\n",
        "!pip install -q -U geokakao"
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      "source": [
        "import ee\n",
        "import geemap\n",
        "import geokakao as gk\n",
        "import pandas as pd\n",
        "import math\n",
        "\n",
        "from ipyleaflet import TileLayer\n",
        "\n",
        "# Earth Engine 인증\n",
        "ee.Authenticate()\n",
        "\n",
        "# Earth Engine 초기화\n",
        "ee.Initialize(project='ee-foss4g')"
      ]
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      "source": [
        "data = {'Name': ['태화강국가정원'],\n",
        "        'Address': ['울산 중구 태화동 107']}\n",
        "df = pd.DataFrame(data)\n",
        "df.head()"
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              "      Name        Address\n",
              "0  태화강국가정원  울산 중구 태화동 107"
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              "      Name        Address   decimalLatitude  decimalLongitude\n",
              "0  태화강국가정원  울산 중구 태화동 107  35.5500785012707  129.299077253026"
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              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            </style>\n",
              "            "
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          },
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Vworld 영상지도 객체\n",
        "vworld_satellite = TileLayer(\n",
        "    url='https://xdworld.vworld.kr/2d/Satellite/service/{z}/{x}/{y}.jpeg',\n",
        "    name='Vworld Satellite',\n",
        "    attribution='Vworld'\n",
        ")\n",
        "# Vworld 하이브리드지도 객체\n",
        "vworld_hybrid = TileLayer(\n",
        "    url='https://xdworld.vworld.kr/2d/Hybrid/service/{z}/{x}/{y}.png',\n",
        "    name='Vworld Hybrid',\n",
        "    attribution='Vworld',\n",
        ")\n",
        "\n",
        "# 태화강국가정원 위치 가시화\n",
        "m = geemap.Map(width=\"800px\", height=\"500px\")\n",
        "m.add_layer(vworld_satellite)\n",
        "m.add_layer(vworld_hybrid)\n",
        "\n",
        "latitude, longitude = df.loc[0, ['decimalLatitude', 'decimalLongitude']].astype(float)\n",
        "location = ee.Geometry.Point([longitude, latitude])\n",
        "m.centerObject(location, 16) # 지도의 중심 설정\n",
        "m # 지도 객체 출력"
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      },
      "id": "n3h4-0eLmaDo",
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
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            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
              "                .geemap-colab .jupyter-button {\n",
              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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              "            </style>\n",
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      "source": [
        "def calculate_bbox(longitude, latitude, width, height):\n",
        "    # 지구 반경 (미터)\n",
        "    earth_radius = 6378137\n",
        "    # 1도당 미터 (위도)\n",
        "    meter_per_degree_lat = 2 * math.pi * earth_radius / 360\n",
        "    # 현재 위도에서 1도당 미터 (경도)\n",
        "    meter_per_degree_lng = meter_per_degree_lat * math.cos(math.radians(latitude))\n",
        "\n",
        "    # 폭과 높이를 각각 경도와 위도의 차이로 변환\n",
        "    delta_lng = width / 2 / meter_per_degree_lng\n",
        "    delta_lat = height / 2 / meter_per_degree_lat\n",
        "\n",
        "    # BBox의 경계 좌표 계산\n",
        "    west = longitude - delta_lng\n",
        "    east = longitude + delta_lng\n",
        "    south = latitude - delta_lat\n",
        "    north = latitude + delta_lat\n",
        "\n",
        "    # ee.Geometry.BBox 객체 생성 및 반환\n",
        "    bbox = ee.Geometry.BBox(west, south, east, north)\n",
        "    return bbox\n",
        "\n",
        "# 중심점 좌표 및 상자 크기 지정\n",
        "width = 4000\n",
        "height = 2000\n",
        "\n",
        "# BBox 생성\n",
        "roi = calculate_bbox(longitude, latitude, width, height)"
      ],
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              "\n",
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              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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              "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
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      "cell_type": "code",
      "execution_count": 57,
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        "outputId": "112e5051-7afd-4393-92a8-c56591cf70f9"
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        {
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              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "            <style>\n",
              "                .geemap-dark {\n",
              "                    --jp-widgets-color: white;\n",
              "                    --jp-widgets-label-color: white;\n",
              "                    --jp-ui-font-color1: white;\n",
              "                    --jp-layout-color2: #454545;\n",
              "                    background-color: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-dark .jupyter-button {\n",
              "                    --jp-layout-color3: #383838;\n",
              "                }\n",
              "\n",
              "                .geemap-colab {\n",
              "                    background-color: var(--colab-primary-surface-color, white);\n",
              "                }\n",
              "\n",
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          "text": [
            "Generating URL...\n",
            "Downloading GIF image from https://earthengine.googleapis.com/v1/projects/ee-foss4g/videoThumbnails/5f317738a2892f593f393d30abdcafd4-59ca5cf33b1e58a7a1652ab5dfb94ef3:getPixels\n",
            "Please wait ...\n",
            "The GIF image has been saved to: /content/sentinel1.gif\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
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              "version_major": 2,
              "version_minor": 0,
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      ],
      "source": [
        "timelapse = geemap.sentinel1_timelapse(\n",
        "    roi,\n",
        "    out_gif=\"sentinel1.gif\",\n",
        "    start_year=2022,\n",
        "    end_year=2022,\n",
        "    start_date=\"04-01\",\n",
        "    end_date=\"08-01\",\n",
        "    frequency=\"day\",\n",
        "    vis_params={\"min\": -30, \"max\": 0},\n",
        "    palette=\"Greys\",\n",
        "    frames_per_second=3,\n",
        "    title=\"Sentinel-1 Timelapse\",\n",
        "    add_colorbar=True,\n",
        "    colorbar_bg_color=\"gray\",\n",
        ")\n",
        "geemap.show_image(timelapse)"
      ]
    },
    {
      "cell_type": "code",
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        "id": "YiFI8ViktgvE"
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