OpenEO mask example

openeo-mask-example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import openeo\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "connection = openeo.connect(\"https://openeo.vito.be/openeo/0.4.2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lippenss/src/openeo/openeo-python-client/openeo/imagecollection.py:60: UserWarning: No band metadata under `properties/eo:bands` trying some fallback sources.\n",
      "  warnings.warn(\"No band metadata under `properties/eo:bands` trying some fallback sources.\")\n"
     ]
    }
   ],
   "source": [
    "scene_classification = (\n",
    "    connection\n",
    "    .load_collection(\"S2_FAPAR_SCENECLASSIFICATION_V102_PYRAMID\")\n",
    "    .band('classification')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = (scene_classification != 4) & (scene_classification != 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"loadcollection1\": {\n",
      "        \"result\": false,\n",
      "        \"arguments\": {\n",
      "            \"temporal_extent\": null,\n",
      "            \"id\": \"S2_FAPAR_SCENECLASSIFICATION_V102_PYRAMID\",\n",
      "            \"spatial_extent\": null\n",
      "        },\n",
      "        \"process_id\": \"load_collection\"\n",
      "    },\n",
      "    \"reduce1\": {\n",
      "        \"result\": false,\n",
      "        \"arguments\": {\n",
      "            \"data\": {\n",
      "                \"from_node\": \"loadcollection1\"\n",
      "            },\n",
      "            \"dimension\": \"spectral_bands\",\n",
      "            \"reducer\": {\n",
      "                \"callback\": {\n",
      "                    \"arrayelement3\": {\n",
      "                        \"result\": false,\n",
      "                        \"arguments\": {\n",
      "                            \"index\": 0,\n",
      "                            \"data\": {\n",
      "                                \"from_argument\": \"data\"\n",
      "                            }\n",
      "                        },\n",
      "                        \"process_id\": \"array_element\"\n",
      "                    },\n",
      "                    \"not3\": {\n",
      "                        \"result\": false,\n",
      "                        \"arguments\": {\n",
      "                            \"expression\": {\n",
      "                                \"from_node\": \"eq5\"\n",
      "                            }\n",
      "                        },\n",
      "                        \"process_id\": \"not\"\n",
      "                    },\n",
      "                    \"arrayelement4\": {\n",
      "                        \"result\": false,\n",
      "                        \"arguments\": {\n",
      "                            \"index\": 0,\n",
      "                            \"data\": {\n",
      "                                \"from_argument\": \"data\"\n",
      "                            }\n",
      "                        },\n",
      "                        \"process_id\": \"array_element\"\n",
      "                    },\n",
      "                    \"eq6\": {\n",
      "                        \"result\": false,\n",
      "                        \"arguments\": {\n",
      "                            \"y\": 5,\n",
      "                            \"x\": {\n",
      "                                \"from_node\": \"arrayelement4\"\n",
      "                            }\n",
      "                        },\n",
      "                        \"process_id\": \"eq\"\n",
      "                    },\n",
      "                    \"eq5\": {\n",
      "                        \"result\": false,\n",
      "                        \"arguments\": {\n",
      "                            \"y\": 4,\n",
      "                            \"x\": {\n",
      "                                \"from_node\": \"arrayelement3\"\n",
      "                            }\n",
      "                        },\n",
      "                        \"process_id\": \"eq\"\n",
      "                    },\n",
      "                    \"not4\": {\n",
      "                        \"result\": false,\n",
      "                        \"arguments\": {\n",
      "                            \"expression\": {\n",
      "                                \"from_node\": \"eq6\"\n",
      "                            }\n",
      "                        },\n",
      "                        \"process_id\": \"not\"\n",
      "                    },\n",
      "                    \"and1\": {\n",
      "                        \"result\": true,\n",
      "                        \"arguments\": {\n",
      "                            \"expressions\": [\n",
      "                                {\n",
      "                                    \"from_node\": \"not3\"\n",
      "                                },\n",
      "                                {\n",
      "                                    \"from_node\": \"not4\"\n",
      "                                }\n",
      "                            ]\n",
      "                        },\n",
      "                        \"process_id\": \"and\"\n",
      "                    }\n",
      "                }\n",
      "            }\n",
      "        },\n",
      "        \"process_id\": \"reduce\"\n",
      "    }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "print(json.dumps(mask.graph, indent=4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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