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Small corrections for Time Series and Spectral Indices

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heyarne 2021-03-18 16:29:35 +00:00
commit 76599830ba
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sources/02c-time-series.ipynb
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@ -367,7 +367,6 @@
"\n",
"ncols = 5\n",
"fig, axs = plt.subplots(nrows=math.ceil(len(output_files) / ncols), ncols=ncols, figsize=(18,18))\n",
"plt.suptitle('Visualization of NDVI in 2019')\n",
"fig.tight_layout(h_pad=2)\n",
"axs = axs.flatten() \n",
"\n",
@ -387,9 +386,11 @@
]
},
{
"cell_type": "markdown",
"cell_type": "raw",
"metadata": {},
"source": [
"The above plot is given as an impression of plant health development in the area of interest for the entire year. \n",
"\n",
"## Average NDVI\n",
"\n",
"The average NDVI over the area is calculated using a multiprocessing pool.[^performance_comparison]\n",