{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Geopandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/davemlz/spyndex/blob/main/docs/tutorials/geopandas.ipynb)\n",
    "![level5](https://raw.githubusercontent.com/davemlz/spyndex/main/docs/_static/level5.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Welcome to the next level: Level 5 - `spyndex + geopandas`!\n",
    "\n",
    "Remember to install `spyndex`!\n",
    "\n",
    "> And also remember to install `geopandas`! I recommend you to install it using conda!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -U spyndex"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's start!\n",
    "\n",
    "First, import `spyndex` and `geopandas`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import spyndex\n",
    "import geopandas as gpd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `geopandas.GeoDataFrame`\n",
    "\n",
    "In `geopandas`, each column is a `pandas.Series`. The exception is the `geometry` column, which is a `geopandas.GeoSeries`.\n",
    "\n",
    "Here we are going to compute spectral indices using `pandas.Series` data types, but adding them to a `geopandas.GeoDataFrame`, making them possible to map!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's create a random sample of reflectances from Sentinel-2. For this, we are going to use `Google Earth Engine`. Let's install some useful packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install eemont geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, let's import them and initialize `Earth Engine`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee, eemont, geemap\n",
    "\n",
    "Map = geemap.Map()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's use the first image in the Sentinel-2 SR collection and sample 1000 random points from it.\n",
    "\n",
    "> With the `eemont` package we can mask clouds and scale and offset the image!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "poi = ee.ImageCollection(\"COPERNICUS/S2_SR\") \\\n",
    "    .first() \\\n",
    "    .maskClouds() \\\n",
    "    .scaleAndOffset() \\\n",
    "    .sample(numPixels = 1000,geometries = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's use `geemap` to convert the samples to a `geopandas.GeoDataFrame`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = geemap.ee_to_geopandas(poi)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that the `geopandas.GeoDataFrame` has the `geometry` column and the remaining columns are the samples from all bands in the image!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>AOT</th>\n",
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       "      <td>0.3712</td>\n",
       "      <td>0.4120</td>\n",
       "      <td>0.4322</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4331</td>\n",
       "      <td>0.4570</td>\n",
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       "      <td>0.1697</td>\n",
       "      <td>0.5636</td>\n",
       "      <td>0.4815</td>\n",
       "      <td>0.2111</td>\n",
       "      <td>0.3039</td>\n",
       "      <td>0.3790</td>\n",
       "      <td>0.4122</td>\n",
       "      <td>0.4194</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4274</td>\n",
       "      <td>0.4324</td>\n",
       "      <td>0</td>\n",
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       "      <td>255</td>\n",
       "      <td>0.815</td>\n",
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       "      <th>2</th>\n",
       "      <td>POINT (27.87679 26.33568)</td>\n",
       "      <td>0.193</td>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.6501</td>\n",
       "      <td>0.5622</td>\n",
       "      <td>0.2118</td>\n",
       "      <td>0.3114</td>\n",
       "      <td>0.4240</td>\n",
       "      <td>0.4666</td>\n",
       "      <td>0.4760</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4990</td>\n",
       "      <td>0.5049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>216</td>\n",
       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>0.644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POINT (27.04346 26.21331)</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.1363</td>\n",
       "      <td>0.7335</td>\n",
       "      <td>0.6691</td>\n",
       "      <td>0.1859</td>\n",
       "      <td>0.3268</td>\n",
       "      <td>0.4842</td>\n",
       "      <td>0.5332</td>\n",
       "      <td>0.5514</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5692</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>189</td>\n",
       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>0.624</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POINT (27.53605 26.84894)</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>0.6491</td>\n",
       "      <td>0.5494</td>\n",
       "      <td>0.2606</td>\n",
       "      <td>0.3834</td>\n",
       "      <td>0.5202</td>\n",
       "      <td>0.5680</td>\n",
       "      <td>0.5758</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5684</td>\n",
       "      <td>0.5798</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>0.797</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    geometry    AOT      B1     B11     B12      B2      B3  \\\n",
       "0  POINT (27.29076 26.40036)  0.197  0.1070  0.6306  0.5504  0.1367  0.2429   \n",
       "1  POINT (28.06818 26.58967)  0.198  0.1697  0.5636  0.4815  0.2111  0.3039   \n",
       "2  POINT (27.87679 26.33568)  0.193  0.1670  0.6501  0.5622  0.2118  0.3114   \n",
       "3  POINT (27.04346 26.21331)  0.195  0.1363  0.7335  0.6691  0.1859  0.3268   \n",
       "4  POINT (27.53605 26.84894)  0.194  0.2098  0.6491  0.5494  0.2606  0.3834   \n",
       "\n",
       "       B4      B5      B6  ...     B8A      B9  QA10  QA20  QA60  SCL  TCI_B  \\\n",
       "0  0.3712  0.4120  0.4322  ...  0.4331  0.4570     0     0     0    5    139   \n",
       "1  0.3790  0.4122  0.4194  ...  0.4274  0.4324     0     0     0    5    215   \n",
       "2  0.4240  0.4666  0.4760  ...  0.4990  0.5049     0     0     0    5    216   \n",
       "3  0.4842  0.5332  0.5514  ...  0.5692  0.5823     0     0     0    5    189   \n",
       "4  0.5202  0.5680  0.5758  ...  0.5684  0.5798     0     0     0    5    255   \n",
       "\n",
       "   TCI_G  TCI_R    WVP  \n",
       "0    248    255  0.695  \n",
       "1    255    255  0.815  \n",
       "2    255    255  0.644  \n",
       "3    255    255  0.624  \n",
       "4    255    255  0.797  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's check the indices to compute: The `IRECI` and the `NDVI`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IRECI: Inverted Red-Edge Chlorophyll Index (attributes = ['bands', 'contributor', 'date_of_addition', 'formula', 'long_name', 'reference', 'short_name', 'type'])"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spyndex.indices.IRECI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NDVI: Normalized Difference Vegetation Index (attributes = ['bands', 'contributor', 'date_of_addition', 'formula', 'long_name', 'reference', 'short_name', 'type'])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spyndex.indices.NDVI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('RE3', 'R', 'RE1', 'RE2')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spyndex.indices.IRECI.bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('N', 'R')"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spyndex.indices.NDVI.bands"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need the Red Edge bands from Sentinel-2 plus the Red and NIR bands!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's make a list of the indices:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "indicesToCompute = [\"IRECI\",\"NDVI\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's compute the indices and add them directly to our `geopandas.GeoDataFrame`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf[indicesToCompute] = spyndex.computeIndex(\n",
    "    index = indicesToCompute,\n",
    "    params = {\n",
    "        \"R\": gdf[\"B4\"],\n",
    "        \"RE1\": gdf[\"B5\"],\n",
    "        \"RE2\": gdf[\"B6\"],\n",
    "        \"RE3\": gdf[\"B7\"],\n",
    "        \"N\": gdf[\"B8\"]\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that the indices were added as new columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.6501</td>\n",
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       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>0.644</td>\n",
       "      <td>0.066105</td>\n",
       "      <td>0.091688</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POINT (27.04346 26.21331)</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.1363</td>\n",
       "      <td>0.7335</td>\n",
       "      <td>0.6691</td>\n",
       "      <td>0.1859</td>\n",
       "      <td>0.3268</td>\n",
       "      <td>0.4842</td>\n",
       "      <td>0.5332</td>\n",
       "      <td>0.5514</td>\n",
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       "      <td>0.624</td>\n",
       "      <td>0.085109</td>\n",
       "      <td>0.097904</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POINT (27.53605 26.84894)</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>0.6491</td>\n",
       "      <td>0.5494</td>\n",
       "      <td>0.2606</td>\n",
       "      <td>0.3834</td>\n",
       "      <td>0.5202</td>\n",
       "      <td>0.5680</td>\n",
       "      <td>0.5758</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>0.797</td>\n",
       "      <td>0.061128</td>\n",
       "      <td>0.060926</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    geometry    AOT      B1     B11     B12      B2      B3  \\\n",
       "0  POINT (27.29076 26.40036)  0.197  0.1070  0.6306  0.5504  0.1367  0.2429   \n",
       "1  POINT (28.06818 26.58967)  0.198  0.1697  0.5636  0.4815  0.2111  0.3039   \n",
       "2  POINT (27.87679 26.33568)  0.193  0.1670  0.6501  0.5622  0.2118  0.3114   \n",
       "3  POINT (27.04346 26.21331)  0.195  0.1363  0.7335  0.6691  0.1859  0.3268   \n",
       "4  POINT (27.53605 26.84894)  0.194  0.2098  0.6491  0.5494  0.2606  0.3834   \n",
       "\n",
       "       B4      B5      B6  ...  QA10  QA20  QA60  SCL  TCI_B  TCI_G  TCI_R  \\\n",
       "0  0.3712  0.4120  0.4322  ...     0     0     0    5    139    248    255   \n",
       "1  0.3790  0.4122  0.4194  ...     0     0     0    5    215    255    255   \n",
       "2  0.4240  0.4666  0.4760  ...     0     0     0    5    216    255    255   \n",
       "3  0.4842  0.5332  0.5514  ...     0     0     0    5    189    255    255   \n",
       "4  0.5202  0.5680  0.5758  ...     0     0     0    5    255    255    255   \n",
       "\n",
       "     WVP     IRECI      NDVI  \n",
       "0  0.695  0.073747  0.097496  \n",
       "1  0.815  0.045786  0.070281  \n",
       "2  0.644  0.066105  0.091688  \n",
       "3  0.624  0.085109  0.097904  \n",
       "4  0.797  0.061128  0.060926  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's map the indices!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You'll see a lot of low values for both indices, that's because that image is in the desert with some pivot crops!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'NDVI')]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2,figsize = (10,5))\n",
    "\n",
    "gdf.plot(column = 'IRECI',legend = True,ax = ax[0],cmap = \"viridis_r\")\n",
    "ax[0].set(title = \"IRECI\")\n",
    "\n",
    "gdf.plot(column = 'NDVI',legend = True,ax = ax[1],cmap = \"viridis_r\")\n",
    "ax[1].set(title = \"NDVI\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's all for now! :) See you in a next tutorial!"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "ec6a25acaecf7f06cb08206f3f56e96ccaf6fbab432a979bcf67c9e0ca577c87"
  },
  "kernelspec": {
   "display_name": "Python 3.9.7 64-bit ('spyndex': conda)",
   "name": "python3"
  },
  "language_info": {
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