Searching EMIT L2A Reflectance with earthaccess.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import earthaccess\n",
    "\n",
    "import rasters as rt\n",
    "\n",
    "from EMITL2ARFL import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "date range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_date = \"2024-01-01\"\n",
    "end_date = \"2024-12-31\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "download directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "download_directory = \"~/data/EMIT_download\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "example spatial area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4AQAAAAAAAMCnKPACAAAANg0cOFAsy9LRuHHjYsfnzJmjj6mvAAAAgJMo8AIAAESoSpUqyebNm3WhcO/evZKcnFzqdZ555plA4XHQoEEnPIeKFSvKkCFDZPLkybJ27Vo5cOCAZGVlye7du+Xbb7+V8ePHS6dOnU74dgAAAACUnUUQBEEQBEFEZlx00UVWvvfee6/E3I4dO1q5ubk694svvjjh2x4+fLi1a9cuy8TixYuts88+2/PHy60YOHBg4L43bty42PE5c+boY+qrn+8HQRAEQRAEIREf7OAFAACIYJ999pm89957+vL1118vF198cdC82NhYeeONNyQ6OlqOHj0qt9xyS5lvMyoqSl555RV59dVXpU6dOpKXlycfffSRDBs2THr06CHt27eX3r17yz333CMLFizQ1+nYsaPcd999Zb7N8qZnz576cVRfAQAAACfFODo6AAAATtidd94pF154odSqVUtefvlladu2rRw5cqRQzoMPPijt2rXTlx9++GHd2qGsxo0bFygQq7YM11xzjaxcubJY3uzZs3WLhnPOOUdeeOGFMt8eAAAAgLJjBy8AAECE27dvn4wePVpfbtSokTzxxBOFjrdu3VoeeughfXnx4sXy/PPPl/m21O5cVSBWtm/fLl27dg1a3C1I9eJVRd7//ve/Zb5dAAAAAGXneZ8IgiAIgiAIovSYNWuW7pWal5dndenSRX8vKirK+vbbb/X3s7KyrFNOOeWEbmPKlCmBnqxXXXVV2OZ+6aWX6rG3bt1qZWZmWmlpaXre999/v1WpUqVSr6/u5w033GB9+umn1s6dO/V93bNnj/X1119bI0aMsGJjY0Ned9y4cYH7pP5dpUoV6+GHH7aWL19uHThwQH9f9aIteJ1q1apZjz/+uLV69Wrr2LFj1u7du63//e9/1jXXXHPCPXhVfr782+3Vq5c1c+ZMfd/U47Nx40ZrwoQJVkpKSomPS9u2ba2xY8dan3/+eeCxTU9Pt9auXWu9/fbbVqdOnYJer3v37ka9lVVesOtfccUV1ocffmj9+uuvVkZGhn4cU1NTrb/+9a/6sfP6d4UgCIIgCEL+XOH5BAiCIAiCIAiDaNSokXX48GFdeFu1apUVFxdnjRo1KlCMe+yxx05o/KpVq1o5OTl6LFVgVEXVE51zfHy8NW3atBKLiNu2bbNOO+20kGNUr17dWrBgQYlj/Pzzz/rxKa3A27x5c33fiipY4D355JP1nEKZOHFiWAu8//znP0Peliosq/mcSJFWjR+uAq8q3n755ZclXkedmC9UYZkgCIIgCIIQJ8LzCRAEQRAEQRCGcccddxQqNKrdmvkFTlXwPZGxL7nkksDYavdoOOb7wQcfBMb8/vvvrRtvvNE688wzrQsuuEDPX+1GVtSO3vr16xe7foUKFayFCxcGxlAF0759+1rt27fXu4I/+uijwLF169YF3Q1csMD7ww8/6N2/zz//vHX++efrcfr372917txZ5yYlJeldqfnef/99q0+fPjpvwIAB1pIlS/T3Fy9eHJYC7zfffBPIU+Or2znvvPP07tt8aqdzsMdWzV/9/NVjPHz4cKtbt27W6aefbl144YXW6NGjrU2bNgXGGDRoUKHrVqxYUe/+feihhwI56meivlcwVF7+ddT6Wrp0qc5V/xEwadIk/dh17NhR7yh/8MEHrb179+rj+/btC1lwJwiCIAiCICTc4fkECIIgCIIgCMMo2JIhX25urnX22Wef8NgFi31Dhw494fEuvvjiwHiqvUGwNgrDhg0L5KhCZdHjI0eODBxXRc9gt/P3v/89kPPEE0+UWOBVj5UqZIaa81NPPRXIfeCBB4odj4mJ0e0QCjqRAq/y6quvBp3La6+9FshRhduix2vWrKl3XYe6L+rx/uKLL/T1VbFXFcuL5pS2EznY47x//35diA6Wo4q627dv13nvvvuuZ78nBEEQBEEQ8ucKzydAEARBEARB2AjVZ7egF154ISzjjh8/PjDmZZdddsLjqX65itox26BBg5B5s2fP1nnZ2dlW3bp1Cx1TO5PzWxVUrlw56PWjo6N1y4r8naNFdzIXLPC+8cYbJRZE1fXzd/qGylN9cdV9CkeBVxVDQ+28btmyZSBP7dwuy8/g1FNPDYwRrChrWuBVO6Pz+xXfdtttJd7mrbfeGvi5F9wBTBAEQRAEQYgjUeEETs4GAAAAD3Tp0qXQv3fs2BGWcZOSkgKXjx49ekJjRUdHS/fu3fXl2bNny7Zt20Lmvv766/prbGys9OjRI/D9evXqSZs2bfTlDz/8UI4cORL0+nl5efLWW2/pyzVq1JD27duHvK333nsv5LEzzzxTX1+ZNGlSyLzt27fr+xQOU6dOlezs7KDH1q5dK+np6frySSedVOpYcXFx0rBhQ2ndurW0bdtWR1RUVOD4aaedVuZ5qp9ltWrVAnMuyfz58wPzUY8pAAAAnEWBFwAAwEfq168vTz75ZKHvPfLII0YFwNLkFxOVSpUqndBYaj75YyxevLjE3ILHTznllKCXyzpGUT/++GPIY+3atQtcTk1NLfH2lixZIuGwZs2aEo8fOHCgWPG9oIoVK8oDDzwgP/zwgy7Kb9myRVatWiU//fSTDvX9fMnJyWWe51lnnRW4vGvXLrEsK2T8/PPPgdy6deuW+TYBAABghgIvAACAj7z88stStWpVOX78uNxzzz1696oq8r366qsnPPa+ffsCl+vUqXNCY+XvhFX27NlTYq4qGAa7XjjGCFUwPdE57969W8Lh2LFjJR5XP+f8HdFFNW7cWFauXCmPP/643p0bExNT4liJiYllnmft2rXLdD21NgEAAOCskv8KBAAAQMS49tpr5fLLL9eXVUF3/Pjx0qhRIxk1apT06tVLBg4cWGJrgdKsWLEicLmkNgd2qV2dkTBGwYKpW7fnpHfeeUfvlFb3SbWo+OCDD2T16tWyd+/eQNsH1aIh/z4XbNdgV8EC8xlnnCE5OTlG1yupNQcAAADCgwIvAACAD1SvXl1eeOGFQNHs/vvv15fHjh0rV155pS70/utf/5JPP/1U0tLSynQb33zzjeTm5uqdoBdddJEuCJa10Ll//37j3cAFP8Zf8HrhGMOOgrt71e2tW7cuZO6J7nA+Ua1atZJzzz1XX/7nP/+p23QEU9Ju5rLu7lYFZNWHGAAAAJGBFg0AAAA+8OyzzwaKirfddlugX6468djIkSMDPVafe+65Mt/GoUOH5OOPP9aXmzRpogvHZbVx48bAido6depUYm7Hjh0Dl1Xf2GCXyzqGHardQb4OHTqUmFvacaepE6jlmzx5slHv3GBMC/jff/99yJP8AQAAwFsUeAEAACLcBRdcoNsvKFOmTJGZM2cWOq527eYX+W644Qa58MILy3xbqp+r6uurvPjii1KrVi2j68XFxUm/fv0C/1ZjzJs3LzD/lJSUkNcdNmyY/qo+9j937tzA93fu3KlPGJbfniLUid8qVKgggwYNCuzeXb58uZTFsmXLArt/b7rpphJPdHcij3E4FOy3W9IJ8W699dYSx8nMzAxcjo+PD5n35ZdfBgr2qiUIAAAAIgcFXgAAgAhW8ARqqvh4xx13BM1TRbf84uQrr7xS5pNbqeLo3//+d31ZFWVV24ZTTjmlxOt07txZFi5cKNdff32h7//73/8OFA4nTpwY9CRggwcPlt69e+vLH330UaGTpRUcQ53kK79FRVHjxo0L7Gh9/fXXA/1n7VLXU71s8/vM3nvvvUF70arbKKkY6oaC7SPyi9vBirul7cJWRfR8zZo1K3F390svvRTYwat2lJfU01f9vIYOHVribQMAACB81OeyCIIgCIIgiAiMZ5991so3ePDgEnOHDBkSyP3Xv/5V5tuMioqyXnnllcBYubm51tSpU/Xtn3vuudbpp59uXXDBBdbo0aOtOXPmBPKmT59ebKzJkycHji9dutS6/vrrrfbt21vnn3++9frrr1t5eXn6WFpamlW/fv1i169QoYK1cOHCwBhffvmldfXVV1tnnHGGdfHFF+t55Vu3bp1VqVKlYmOMGzcukFPafa9SpYq1ZcuWQP57771n9e7dW99e//79rcWLF+vvL1myJJDTuHHjYuPkPy7qa9FjKj/fwIEDS5zPpk2bdN5bb71V7NiPP/4YGOeDDz6wLrnkEv3YXn755daHH36ov79gwYJAjnocio5RuXJl69ixY4GfT69evawWLVpYzZo105GQkBDIjYuLsxYtWhQY7/vvv7dGjhxpnXPOOdZpp51m9ejRw7rtttv0OsjMzLRSU1M9//0hCIIgCIKQP0d4PgGCIAiCIAgiSHTq1EkXV/MLmybX+frrr3V+Tk6OLkqeyO3fcsst1u7duy0T33zzjXXWWWcVGyM+Pt6aNm1aidfdtm2bLhCGmkf16tULFSqD+fnnn61GjRoFvb6dAq+KNm3aWDt27Ah5W2+++aYuzHpd4FWP2b59+0LOc8WKFVbdunVLLPCqeOKJJ0KO0b1792IF4YJF9ZJ89dVXnv8OEQRBEARByJ8jPJ8AQRAEQRAEUSRiYmICOzSPHj1qnXTSSUbXa968eWBH5rJly/QO2BOZh9oRO3ToUL0jVO2QPXjwoJWVlaULv99++63eKRyssFs0Lr30Ul0YVMVctbtTFSbVbtD7778/6K7bYLuKb7zxRmvWrFnWzp079Rz27t2rC9pqF2lsbGzI69ot8OYXlVXh85dffrEyMjKsPXv26ILlgAED9PFIKPCqaNiwoTVhwgSdpx4TtRP6u+++s8aMGaOL6yqntAKvCvUznjdvnr6++s+BUAXe/OjSpYv12muvWatXr7YOHTpkZWdn6+uqHc4vvvii1adPnxNeewRBEARBEIQYRdTvFwAAAAAAAAAAPsNJ1gAAAAAAAADApyjwAgAAAAAAAIBPUeAFAAAAAAAAAJ+iwAsAAAAAAAAAPkWBFwAAAAAAAAB8igIvAAAAAAAAAPgUBV4AAAAAAAAA8CkKvAAAAAAAAADgUxR4AQAAAAAAAMCnKPACAAAAAAAAgE9R4AUAAAAAAAAAn6LACwAAAAAAAAA+RYEXAAAAAAAAAHyKAi8AAAAAAAAA+BQFXgAAAAAAAADwKQq8AAAAAAAAAOBTFHgBAAAAAAAAwKco8AIAAAAAAACAT1HgBQAAAAAAAACfosALAAAAAAAAAD5FgRcAAAAAAAAAfIoCLwAAAAAAAAD4FAVeAAAAAAAAAPApCrwAAAAAAAAA4FMUeAEAAAAAAADApyjwAgAAAAAAAIBPUeAFAAAAAAAAAJ+iwAsAAAAAAAAAPkWBFwAAAAAAAAB8igIvAAAAAAAAAPgUBV4AAAAAAAAA8CkKvAAAAAAAAADgUxR4AQAAAAAAAMCnKPACAAAAAAAAgE9R4AUAAAAAAAAA8af/D3NxF5TQB4qMAAAAAElFTkSuQmCC",
      "text/plain": [
       "<rasters.raster.Raster at 0x144b16c50>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subset = rt.Raster.open(\"farms_subset.tif\")\n",
    "subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\n",
       "  \"dimensions\": {\n",
       "    \"rows\": 72,\n",
       "    \"cols\": 75\n",
       "  },\n",
       "  \"bbox\": {\n",
       "    \"xmin\": 644100.0,\n",
       "    \"ymin\": 3660890.0,\n",
       "    \"xmax\": 649350.0,\n",
       "    \"ymax\": 3665930.0\n",
       "  },\n",
       "  \"crs\": \"EPSG:32611\",\n",
       "  \"resolution\": {\n",
       "    \"cell_width\": 70.0,\n",
       "    \"cell_height\": -70.0\n",
       "  }\n",
       "}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geometry = subset.geometry\n",
    "geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Log into `earthaccess` using `netrc` credentials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<earthaccess.auth.Auth at 0x11385f310>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "earthaccess.login(strategy=\"netrc\", persist=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "retrieve example granule for orbit 2428011 scene 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5166c96646164f05a94344b2f6d00498",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "QUEUEING TASKS | :   0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "eda1c06278654450b8ae6d99860f4cf2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "PROCESSING TASKS | :   0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bdbd7d17e0c04b75a7995acb0961a567",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "COLLECTING RESULTS | :   0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "EMITL2ARFL(directory=\"~/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004\")"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule = retrieve_EMIT_L2A_RFL_granule(orbit=2428011, scene=4, download_directory=download_directory)\n",
    "granule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/Users/gregoryhalverson/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004/EMIT_L2A_MASK_001_20241006T165200_2428011_004.nc',\n",
       " '/Users/gregoryhalverson/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004/EMIT_L2A_RFL_001_20241006T165200_2428011_004.nc',\n",
       " '/Users/gregoryhalverson/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004/EMIT_L2A_RFLUNCERT_001_20241006T165200_2428011_004.nc']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule.files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'~/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule.directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/gregoryhalverson/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004/EMIT_L2A_RFL_001_20241006T165200_2428011_004.nc'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule.reflectance_filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/gregoryhalverson/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004/EMIT_L2A_MASK_001_20241006T165200_2428011_004.nc'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule.mask_filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/gregoryhalverson/data/EMIT_download/EMIT_L2A_RFL_001_20241006T165200_2428011_004/EMIT_L2A_RFLUNCERT_001_20241006T165200_2428011_004.nc'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule.uncertainty_filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<rasters.multi_raster.MultiRaster at 0x111115950>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "granule.reflectance(geometry=geometry)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "EMITL2ARFL",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}