"This web page demonstrates a simple use of SlideRule to return elevations within a small region of interest using processing parameters specified at the time of the request. The web page is implemented inside a Jupyter Notebook using SlideRule's Python client, and is statically served using Voila. For more information on SlideRule, and how to install and use it for your own analysis applications, please see our website at [slideruleearth.io](https://slideruleearth.io).\n",

"| Step 1 | Step 2 | Step 3 | Step 4 | Step 5 |\n",

"|--------|--------|--------|--------|--------|\n",

"| Select Region of Interest | Choose Processing Parameters and Run SlideRule | Explore Data Points and Refresh Plot | Plot Photon Cloud of Ground Track | Build Your Own Notebook |\n",

"| Use the map to draw a polygon or bounding box around your region of interest. | Select the processing parameters to use to calculate geolocated elevations for the region of interest created above. Then click the \"Run SlideRule!\" button to initiate a https://github.com/ICESat2-SlideRule/sliderule-python/blob/main/examples/api_widgets_demo.ipynb request to SlideRule. Once all granules have been processed, the above map will be updated with a scatter plot of the different elevations. | The results are returned as a GeoDataFrame with multiple columns. Choose a field in the returned results to plot, and then click \"Refresh Plot\" to see the map updated with values from that column. | Enter the reference ground track, the cycle, and the individual ground track in the input boxes below. If you click on an individual elevation in the map, it will automatically populate these inputs with the correct values. | Check out our [API widgets demo](https://github.com/ICESat2-SlideRule/sliderule-python/blob/main/examples/api_widgets_demo.ipynb) for a guided walkthrough of how SlideRule works along with code you can use to start your own notebook. |"

"## Segment Elevations ([atl06p](https://slideruleearth.io/rtd/api_reference/icesat2.html#atl06p))"

"# load the necessary packages\n",

"from io import BytesIO\n",

"from sliderule import icesat2, ipysliderule, io, sliderule\n",

"import ipywidgets as widgets\n",

"import geopandas\n",

"import logging\n",

"import base64\n",

"import time\n",

"import copy\n",

"import json\n",

"import re\n",

"from IPython import display\n",

"# atl03 plotting imports\n",

"import numpy as np\n",

"import matplotlib.pyplot as plt\n",

"# autoreload\n",

"%load_ext autoreload\n",

"%autoreload 2\n",

"%matplotlib inline"

"# turn off warnings for demo\n",

"warnings.filterwarnings('ignore')"

"url_textbox = None\n",

"show_code06_output = widgets.Output()\n"

" global url_textbox, atl06_parms, granule_count\n",

" icesat2.init(url_textbox.value, loglevel=logging.ERROR, max_resources=1000)\n",

" \"srt\": SRwidgets.surface_type.index,\n",

" print(f'icesat2.init(\"{url_textbox.value}\")')\n",

"# url input text box\n",

"url_textbox = widgets.Text(\n",

" value='slideruleearth.io',\n",

" placeholder='Input box for SlideRule url',\n",

" description='URL:',\n",

" disabled=False\n",

")\n",

"display.display(url_textbox)\n",

"\n",

" SRwidgets.surface_type,\n",

"## Photon Cloud ([atl03sp](https://slideruleearth.io/rtd/api_reference/icesat2.html#atl03sp))"

" global url_textbox, atl03_parms\n",

" # set the url for the sliderule service\n",

" if url_textbox.value == 'local':\n",

" url = 'host.docker.internal'\n",

" else:\n",

" url = url_textbox.value\n",

" icesat2.init(url, loglevel=logging.ERROR)\n",

" \"srt\": SRwidgets.surface_type.index,\n",

" print(f'icesat2.init(\"{url_textbox.value}\")')\n",

"version": "3.10.13"

parser.add_argument('--output_path', '-p', type=str, default="s3://sliderule/data/stage") # "hosted" tells sliderule to host results in a bucket it owns