mirror of
https://github.com/heyarne/earth-observation-for-journalism.git
synced 2026-05-06 19:13:40 +02:00
749 lines
196 KiB
Text
749 lines
196 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Spectral Index Pipeline\n",
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"\n",
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"Before running this notebook the files have to be downloaded. See [01a Download Process.ipynb](01a Download Process.ipynb) for further information.\n",
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"\n",
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"The calculation in this notebook depends on three parameters:\n",
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"\n",
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"- `product_path` is the path to a previously downloaded product\n",
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"- `index_to_calculate` is one of the supported indices; these are 'ndvi'\n",
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" - bsi -- bare soil index\n",
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" - nbr -- normalized burn ratio\n",
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" - ndvi -- normalized difference in vegetation\n",
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" - ndwi -- normalized difference in water\n",
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"- `fill_value`, the value which is used to represent invalid pixels to handle division by zero.\n",
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"\n",
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"Change the values below and select _Kernel → Restart and Run All Cells_ to re-evaluate all cells in this notebook.\n",
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"The path of the output file will be printed below the last cell."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[PosixPath('resources/forest_fires/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.zip'),\n",
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" PosixPath('resources/forest_fires/S2A_MSIL2A_20180919T102021_N0208_R065_T33UUT_20180919T132226.zip'),\n",
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" PosixPath('resources/forest_fires/S2A_MSIL2A_20190603T101031_N0212_R022_T33UUT_20190603T114652.zip'),\n",
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" PosixPath('resources/forest_fires/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUT_20190614T125329.zip'),\n",
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" PosixPath('resources/forest_fires/S2A_MSIL2A_20190626T102031_N0212_R065_T33UUT_20190626T125319.zip'),\n",
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" PosixPath('resources/forest_fires/S2A_MSIL2A_20190629T103031_N0212_R108_T32UPE_20190629T135351.zip'),\n",
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" PosixPath('resources/forest_fires/S2A_MSIL2A_20190726T102031_N0213_R065_T32UPE_20190726T125507.zip'),\n",
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" PosixPath('resources/forest_fires/S2B_MSIL2A_20180822T101019_N0208_R022_T33UUT_20180822T161243.zip'),\n",
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" PosixPath('resources/forest_fires/S2B_MSIL2A_20190701T102029_N0212_R065_T32UPE_20190701T134657.zip')]"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#downloads = ['input/forest_fires/S2A_MSIL2A_20190726T102031_N0213_R065_T32UPE_20190726T125507.zip',\n",
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"# 'input/forest_fires/S2B_MSIL2A_20190701T102029_N0212_R065_T32UPE_20190701T134657.zip',\n",
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"# 'input/forest_fires/S2A_MSIL2A_20190629T103031_N0212_R108_T32UPE_20190629T135351.zip']\n",
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"\n",
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"from pathlib import Path\n",
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"sources = list(sorted(Path('resources/forest_fires').glob('*.zip')))\n",
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"sources"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"product_path = Path(sources[0])\n",
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"index_to_calculate = 'nbr'"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Product Preview\n",
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"\n",
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"The following lines can be uncommented to plot a true-color image of the downloaded data:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"#from sentinel_helpers import scihub_band_paths\n",
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"#import rasterio.plot as rplot\n",
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"#\n",
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"#tci = scihub_band_paths(product_path, 'TCI', '60m')[0]\n",
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"#with r.open(tci) as src:\n",
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"# rplot.show(src)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Define Formulas\n",
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"\n",
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"We define the formulas as data so we can substitute the bands with actual values later on and execute the operations when needed.\n",
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"We use a lisp-like language with prefix notation for this.\n",
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"\n",
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"### Operators\n",
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"\n",
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"Many spectral indicators can be expressed using band arithmetic with formulas similar to the NDVI:\n",
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"\n",
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"$$\n",
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"\\text{NDVI} = \\frac{\\text{B08} - \\text{B04}}{\\text{B08} + \\text{B04}}\n",
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"$$\n",
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"\n",
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"To define the index calculation formulas in this way, first the the basic arithmetic operations `+`, `-`, `*` and `/` are wrapped in functions taking variadic arguments:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"from functools import reduce\n",
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"\n",
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"def add(nums):\n",
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" return reduce(lambda a, b: a + b, nums)\n",
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"\n",
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"def sub(nums):\n",
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" return reduce(lambda a, b: a - b, nums)\n",
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"\n",
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"def div(nums):\n",
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" return reduce(lambda a, b: a / b, nums)\n",
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"\n",
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"def mul(nums):\n",
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" return reduce(lambda a, b: a * b, nums)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Indices"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"These function are used to define formulas for a selection of indices.\n",
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"These definitions are not exhaustive - there are many spectral indices which are not implemented in this notebook - however the general shape of theses formulas allows for enough flexibility to implement other indices as well.\n",
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"\n",
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"The formulas are defined in a lisp-like prefix notation: `(add, 1, 2, 3)` translates to `1 + 2 + 3`.\n",
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"Each element in a formula can be either a function, a string or a tuple.\n",
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"\n",
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"This is done so the formulas can be defined independent from actual data.\n",
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"The data is passed in much later.\n",
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"\n",
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"Instead they are defined using tuples, which are delimited using `()`. These tuples have as their first element one of the operations defined above and continue with a flexible amount of other tuples (allowing the recursive expression of formulas), strings, which encode band numbers, or constants:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"indices = {\n",
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" # normalized burn ratio\n",
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" 'nbr': (div, (sub, 'B08', 'B12'), (add, 'B08', 'B12')),\n",
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" # normalized difference in vegetation\n",
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" 'ndvi': (div, (sub, 'B08', 'B04'), (add, 'B08', 'B04')),\n",
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" # normalized difference in water index\n",
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" 'ndwi': (div, (sub, 'B03', 'B08'), (add, 'B03', 'B08')),\n",
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" # bare soil index\n",
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" 'bsi': (div, (sub, (add, 'B11', 'B04'), (add, 'B08', 'B02')),\n",
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" (add, (add, 'B11', 'B04'), (add, 'B08', 'B02')))\n",
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"}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"An error is thrown if `index_to_calculate` did not define an implemented index:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"supported_indices = ', '.join(indices.keys())\n",
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"assert index_to_calculate in supported_indices, f'Only the following indices are supported: {supported_indices}'"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Resolving the Formulas\n",
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"\n",
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"`get_bands` is a function function that returns all of the bands referenced in a recursive formula.\n",
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"This is necessary to resolve these references to actual data sets."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_bands(formula):\n",
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" bands = set()\n",
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" for element in formula:\n",
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" if type(element) == tuple:\n",
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" # recur for subformulas\n",
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" for band in get_bands(element):\n",
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" bands.add(band)\n",
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" elif type(element) == str:\n",
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" bands.add(element)\n",
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" return bands"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The resolving process needs a `band_map` in the form of `band_num` → `numpy.array`:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"def evaluate_formula(band_map, formula):\n",
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" op = formula[0]\n",
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" args = []\n",
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" for element in formula[1:]:\n",
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" if type(element) == tuple:\n",
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" # recur on sub-formula\n",
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" args.append(evaluate_formula(band_map, element))\n",
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" elif type(element) == str:\n",
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" # substitute band number\n",
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" args.append(band_map[element])\n",
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" else:\n",
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" # just append the number\n",
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" args.append(element)\n",
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" return op(args)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Because the prefix-notation is not commonly used to define mathematical formula, a function is given that converts prefix a formula from above to infix notation. This should help to avoid errors when transcribing the index formulas, which are usually given in common infix notation:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"def prefix_to_infix_str(formula):\n",
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" '''\n",
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" Returns a human-readable string of the above data-based notation. Useful\n",
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" for debugging.\n",
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" '''\n",
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" result = ['(']\n",
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" \n",
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" # operation\n",
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" op = formula[0]\n",
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" if op == add:\n",
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" sym = ' + '\n",
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" elif op == sub:\n",
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" sym = ' - '\n",
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" elif op == div:\n",
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" sym = ' / '\n",
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" elif op == mul:\n",
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" sym = ' * '\n",
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" \n",
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" operands = formula[1:]\n",
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" for idx, operand in enumerate(operands, start=1):\n",
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" if type(operand) == tuple:\n",
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" result.append(prefix_to_infix_str(operand))\n",
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" else:\n",
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" result.append(str(operand))\n",
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" if idx < len(operands):\n",
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" result.append(sym)\n",
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" \n",
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" result.append(')')\n",
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" return ''.join(result)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Test Case"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"formula = (add, *range(5), (mul, *range(1, 4))) # == (add, 0, 1, 2, 3, 4, (mul, 1, 2, 3))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'(0 + 1 + 2 + 3 + 4 + (1 * 2 * 3))'"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prefix_to_infix_str(formula)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"16"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"evaluate_formula({}, formula)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'((B08 - B12) / (B08 + B12))'"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"prefix_to_infix_str(indices['nbr'])"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Extraction of Relevant Band File Paths\n",
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"\n",
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"The index calculation starts with the list of bands are referenced by the index formula given by `index_to_calculate`:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['B08', 'B12']"
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]
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},
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"bands = get_bands(indices[index_to_calculate])\n",
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"bands = list(bands)\n",
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"bands"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Resampling\n",
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"\n",
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"Some bands are not available in all resolutions - the band `B08` for example is available only at a resolution of 10m and the band `B12` only up to 20m.\n",
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"\n",
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"The lower-resolution bands are upsampled to the highest resolution band:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
|
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"text/plain": [
|
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"[PosixPath('zip+file:/home/jovyan/sources/resources/forest_fires/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.zip!/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.SAFE/GRANULE/L2A_T33UUT_A016321_20180807T101024/IMG_DATA/R10m/T33UUT_20180807T101021_B08_10m.jp2'),\n",
|
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" PosixPath('zip+file:/home/jovyan/sources/resources/forest_fires/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.zip!/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.SAFE/GRANULE/L2A_T33UUT_A016321_20180807T101024/IMG_DATA/R20m/T33UUT_20180807T101021_B12_20m.jp2'),\n",
|
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" PosixPath('zip+file:/home/jovyan/sources/resources/forest_fires/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.zip!/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.SAFE/GRANULE/L2A_T33UUT_A016321_20180807T101024/IMG_DATA/R60m/T33UUT_20180807T101021_B12_60m.jp2')]"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"# sorting the band path alphabetically sorts the bands first by band number,\n",
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"# then by resolution\n",
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"from sentinel_helpers import scihub_band_paths\n",
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"\n",
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"band_paths = sorted(scihub_band_paths(product_path, bands))\n",
|
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"band_paths[:3]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"highest_resolution_band_paths = []\n",
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"\n",
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"# covered_bands ensures that only the highest resolution band is kept\n",
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"covered_bands = set()\n",
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"for band in band_paths:\n",
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" band_num = band.name.split('_')[-2]\n",
|
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" if band_num in covered_bands:\n",
|
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" continue\n",
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" else:\n",
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" highest_resolution_band_paths.append(band)\n",
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" covered_bands.add(band_num)\n",
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" \n",
|
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"def resolution(band_path):\n",
|
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" '''\n",
|
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" Return the resolution encoded in a raster file's path.\n",
|
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" '''\n",
|
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" if isinstance(band_path, Path):\n",
|
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" band_path = band_path.name\n",
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" \n",
|
|
" return int(band_path.split('_')[-1].split('.')[0].replace('m', ''))\n",
|
|
"\n",
|
|
"# using the function above, we parse the highest resolution out of the first band path\n",
|
|
"target_resolution = sorted(resolution(band) for band in highest_resolution_band_paths)[0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Raster Cloud Mask Generation\n",
|
|
"\n",
|
|
"Spectral indices can get distorted by highly reflective clouds.\n",
|
|
"To avoid this the products include cloud masks, which contain information about the cloud positions in a product in order to discard them.\n",
|
|
"\n",
|
|
"In order to construct a cloud mask that we can operate on, we need to know the transformation needed from the coordinates given by the raster's coordinate reference system to the pixel coordinates of the highest resolution raster.\n",
|
|
"\n",
|
|
"These are encoded as metadata in the raster file:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"PosixPath('zip+file:/home/jovyan/sources/resources/forest_fires/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.zip!/S2A_MSIL2A_20180807T101021_N0208_R022_T33UUT_20180809T112302.SAFE/GRANULE/L2A_T33UUT_A016321_20180807T101024/IMG_DATA/R10m/T33UUT_20180807T101021_B08_10m.jp2')"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from sentinel_helpers import scihub_cloud_mask\n",
|
|
"import rasterio as r\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"\n",
|
|
"highres_raster_path = [band_path for band_path in highest_resolution_band_paths if resolution(band_path) == target_resolution][0]\n",
|
|
"highres_raster_path"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"((10980, 10980),\n",
|
|
" Affine(10.0, 0.0, 300000.0,\n",
|
|
" 0.0, -10.0, 5800020.0))"
|
|
]
|
|
},
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"with r.open(highres_raster_path) as src:\n",
|
|
" target_transform = src.transform\n",
|
|
" target_shape = src.shape\n",
|
|
"\n",
|
|
"# shape is height and width of a 2d-array, target_transform is an affine matrix\n",
|
|
"target_shape, target_transform"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.image.AxesImage at 0x7f3c7c42fd60>"
|
|
]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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7+6B9o8llG6jPpqBskT0ALOhzx95SeTkMfa/y8vj4/+3im5P3pL39++n8otlOfZkX1LljC2zu1BgzEVgPXAokgM8Be4AXgOnAIcCISIt3+weANcAAcI+IbPGWXwk8DUwANgH3iojviHagYRnV5z2bkfsXXcVUj2/movFnjXyl1AE2keDFQ5f5Dhw2vlznsg3UZ1NQNttNlUeAzSIyE5gN7ALuB7aKSDWw1buOMWYWsAK4BKgBHjPGjPPu53FgHVDtfdQM98A235zHPv5J7r1j7WnLGwY66UsMnLxetWktf+z9y5e3Dr3wMVo/ew2bL38yZ75c57IN1GdTULaMBw5jTBmwAHgCQETiItIKLAY2eDfbACzxLi8GnheRXhE5COwD5hpjpgBlIvKqN8t4JmWdtO0+evo//JHWM3MKeXX1wHs7O3fFu/jMyi+y4Ot3n7zdRWu3883lyT+McvQb8yEvj76eAs555R0+s/KLOfPlOpdtoD6bgrLZzDguBBqBp4wxbxlj1htjzgLOFZEYgPe5wrt9JVCbsn6dt6zSu3zq8tMyxqwzxmw3xmzfsfP/0dZVTXPHbBrb53Ciu4ojLQvp7SvnYONSEon8k3+bYOivIu2JrSaRyOcfv9PA0t/E2HKshqWP38fnfvItHtn7Faa31POJSR+gO17B4aZFNP7tddz1g+TmzMp5F0Aiwdf3nMNAUzO3XHIW8f5Saptr6OytpL5tPi2ds2jpnEV923ymnfMKtc01xPtL2d+wHHjvhzr0ee+xlQwMFnG4aRHd8QpirQsyfk4HG5fS21fOkZaFnOiuorF9Ds0ds2nrqibWuuDkc0puA/ec0bO/Ybnvc+rsrQzkOeXlDYz6Oe09tjKw53R2yTuB/JwyeU7lZ+3M6s8pXRnvHDXGXAW8BlwrItuMMY8A7cCXRGRiyu1aRKTcGPMo8KqIPOstf4Lk/ox3gQdF5EZv+fXAfSKyyO/xd775cGLm+eszsg81++EvcN4jfyBvfCGbD7/Ohf/2Of714z/gw+NLAfhRayXb2i/kqQ/9nlumXgmDyc2YggumcfS2abz1N4+lve/dR9di68tVLttAfTZl25aLd8fWAXUiss27/iJwBVDvbX7gfW5Iuf20lPWnAke95VPPsNy3bHxz/s83vkvdzy5h8m+TJ+o9cOOTJwcNgI3XXkTs+uQe6uMbP0z7p+fReNc1fPVXm9j+rR/m3JerXLaB+mwKypbxwCEix4BaY8wMb9FCYCewERj6G+2rgJe9yxuBFcaYImNMFcmdoK97mzMnjDHzjDF5wJ0p66RtaApmU2l+MTuueY5np//mL5Y3DXQCsOt/fpjD37wKgDeuEH73nUd5428eZeGEAcbl+X/rsuHLVS7bQH02BWWzOo7DGHMZyZdjC4EDwGqSg5EAHyK5GbJMRI57t/8WyZds+4Evi8gr3vKreO/l2FdIbu74wnrqLk8UFnRkbE/XR369mun/lEf93GJW37mZT5X9mQ8VJGchXYNxSvJHdjbweH8pufBlI5dtoD6bsm1Lt6kS2QPADu/4UmLaOZuzfr+3nH/ZycvjysoYnHEBm1/+CRdtuItz3xjkue//A2/0nM9fl7b73k9tcw258GUjl22gPpuybRtzA8eJw59InFV0JOv3mzpwDHXZW/Cny70r8z5GwaF6fvHmFt/76eytJBe+bOSyDdRnU7ZtY+5PB3b0XJCT+z2xYh6Jay9j8PrLKag8H/LyeOmX15BXVMS4cybBa3+m/1h9aL5s5LIN1GdTUDarQ87DrLCgNSf3+9t/eJSmgW7G5eXxWs8H+fu9t7L3ssf5wifn8bGz9vDCV2/l0FKAP4Xiy0Yu20B9NgVli+zAkavG541jircz9I6zurjjshcBeKzyNQA+vf4HnJ0/ITSfprlQZDdV4v0TQ3nckQ4aYflGkss2UJ9NQdkiO3CUFh8Om+Cbyz6XbaA+m4KyRXbgON7x0bAJvrnsc9kG6rMpKFtkX47N1QFg2er9dJBQtlNf5gV1AFhkZxy1x28Lm+Cbyz6XbaA+m4KyRXbGMXisOppwTYtQY27G4fIfUwG3fS7bQH02BWXTGYemaWnTGUfAuexz2Qbqs0lnHMOkMw5Ny31jbsYx9PcYXc1ln8s2UJ9NQdkiO+MI+oRMo+39dNKebKe+zAvqhEyRnXHUHb85bIJvLvtctoH6bArKFtmBo6Js2/A3CjGXfS7bQH02BWWL7MDR2jUzbIJvLvtctoH6bArKFtmBo6QwFjbBN5d9LttAfTYFZYvswNE/WBI2wTeXfS7bQH02BWWL7MAxODiy0xSElcs+l22gPpuCskV24Cge3xQ2wTeXfS7bQH02BWWL7MDR3nNh2ATfXPa5bAP12RSULbIHgHXXzk0UjW8Jm5G23r5yXPW5bAP12ZRt25g7AOxo6w1hE3xz2eeyDdRnU1C2yM44BmIzEnl5g2Ez0pZI5OOqz2UbqM+mbNvG3IzjnWOrwib45rLPZRuoz6agbJGdcejb6jUt9425Gcee2JqwCb657HPZBuqzKSibzjg0TUtbuhmH1bljjTFfAdYCCeBtYDVQArwATAcOAUZEWrzbPwCsAQaAe0Rki7f8SuBpYAKwCbhXRHwHhj2x1cyY8pQNP6e57HPZBuqzKShbxpsqxphK4B7gKhG5FBgHrADuB7aKSDWw1buOMWaW9/VLgBrgMWPMOO/uHgfWAdXeR81wj3/ReRsypQeSyz6XbaA+m4Ky2e7jKAAmGGMKSM40jgKLgSH9BmCJd3kx8LyI9IrIQWAfMNcYMwUoE5FXvVnGMynrpO1Q07A3CTWXfS7bQH02BWXLeOAQkSPAd4B3gRjQJiK/BM4VkZh3mxhQ4a1SCdSm3EWdt6zSu3zq8tMyxqwzxmw3xmzf/lYTbV3VNHfMprF9Die6qzjSspDevnIONi4lkchnT2w18N4Ooz2x1SQS+RxsXEpvXzlHWhZyoruKxvY5NHfMpq2rmljrArrjFRxuWsTAYNHJv+E49Nejhz7vb1hOvL+U2uYaOnsrqW+bT0vnLFo6Z1HfNp+JJbuoba4h3l/K/oblZ7yPvcdWMjBYxOGmRXTHK4i1LgjkOcX7yjN6Tp29lYE8p554RWA/p0yeU0F+l7O/e+PHtWf155SujHeOGmPKgZ8By4FW4F+AF4EfisjElNu1iEi5MeZR4FURedZb/gTJ/RnvAg+KyI3e8uuB+0Rkkd/j1+76fKKyfGtG9iA60rIQV30u20B9NmXblouXY28EDopIo4j0AS8B84F6b/MD73ODd/s6YFrK+lNJbtrUeZdPXe5bWfEBC3ruc9nnsg3UZ1NQNpuB411gnjGmxBiTBywEdgEbgaHD11YBL3uXNwIrjDFFxpgqkjtBX/c2Z04YY+Z593Nnyjpp6+mbbEHPfS77XLaB+mwKymazj2MbyU2TN0m+FJsP/Bh4CLjJGLMXuMm7jojsAATYCWwG7haRAe/u7gLWk9xhuh94ZVh4fjxTeiC57HPZBuqzKShbZA8Aazlwa+Lskr1hM9LW1lWNqz6XbaA+m7JtG3OHnHfFp4RN8M1ln8s2UJ9NQdkiO3BMLNkdNsE3l30u20B9NgVli+zA0dB+ddgE31z2uWwD9dkUlC2y+zj03LGZ57IN1GeTnjt2mA40LAub4JvLPpdtoD6bgrJFdsahb6vXtNw35mYcQ8fcu5rLPpdtoD6bgrLpjEPTtLTpjCPgXPa5bAP12aQzjmHSGYem5b4xN+MY+jsDruayz2UbqM+moGyRnXH01F2eKCzoCJuRtnh/Ka76XLaB+mzKtm3MzTjq264Lm+Cbyz6XbaA+m4KyRXbgmFT6dtgE31z2uWwD9dkUlC2yA0dHzwVhE3xz2eeyDdRnU1C2yA4chQWtYRN8c9nnsg3UZ1NQtsgOHJqmhVdkB454/8SwCb657HPZBuqzKShbZAeO0uLDYRN8c9nnsg3UZ1NQtsgOHMc7Pho2wTeXfS7bQH02BWXTA8By1PvpIKFsp77M0wPAhqn2+G1hE3xz2eeyDdRnU1C2yM449E1umpb7xtyMw+W3NoPbPpdtoD6b9G31w6QzDk3LfTrjCDiXfS7bQH026YxjmHTGoWm5b8zNOPYeWxk2wTeXfS7bQH02BWWL7IxDT8iUeS7bQH026QmZhqnu+M1hE3xz2eeyDdRnU1C2guFuYIx5ErgdaBCRS71lk4AXgOnAIcCISIv3tQeANcAAcI+IbPGWXwk8DUwANgH3ikjCGFMEPANcCTQDy0Xk0HCuirJto3iaweeyz2UbqM+moGwjmXE8DdScsux+YKuIVANbvesYY2YBK4BLvHUeM8aM89Z5HFgHVHsfQ/e5BmgRkY8A3wMeHgm8tWvmSG4WWi77XLaB+mwKyjbswCEivwOOn7J4MbDBu7wBWJKy/HkR6RWRg8A+YK4xZgpQJiKvikiC5AxjyRnu60VgoTHmjNtVqZUUxoa7Sai57HPZBuqzKShbpvs4zhWRGID3ucJbXgnUptyuzltW6V0+dflfrCMi/UAbcM6ZHtQYs84Ys90Ys33Tbz9CW1c1zR2zaWyfw4nuKo60LKS3r5yDjUtJJPLZE1sNwJ7YGu/zahKJfA42LqW3r5wjLQs50V1FY/scmjtm09ZVTax1Ad3xCg43LWJgsOjkXuqh18eHPu9vWE68v5Ta5ho6eyupb5tPS+csWjpnUd82n47eadQ21xDvLz35J+tPvY+9x1YyMFjE4aZFdMcriLUuCOQ51R6/NaPn1NlbGchzOtx8R2A/p0yeU+OJOc7+7jWduCKrP6d0jehVFWPMdODnKfs4WkVkYsrXW0Sk3BjzKPCqiDzrLX+C5P6Md4EHReRGb/n1wH0issgYswO4RUTqvK/tB+aKSLOfqf6d/5j4YNkbw9rDqrF9Dq76XLaB+mzKti3br6rUe5sfeJ8bvOV1wLSU200FjnrLp55h+V+sY4wpAM7m9E2j0yoe35QhPZhc9rlsA/XZFJQt04FjI7DKu7wKeDll+QpjTJExporkTtDXvc2ZE8aYed7+iztPWWfovj4F/MrbD+Jbe8+FGdKDyWWfyzZQn01B2UbycuxPgU8Ak40xdcDfAQ8BYoxZQ3IzZBmAiOwwxgiwE+gH7haRAe+u7uK9l2Nf8T4AngB+YozZR3KmsWIk8Mmlb47kZqHlss9lG6jPpqBskT1ydP/b/zVR9cGXwmak7WDjUlz1uWwD9dmUbVu6fRyRHTgGYjMSeXmDYTPSlkjk46rPZRuoz6Zs28bcIefvHFs1/I1CzGVfLm1tg93sindZ3YfL3ztw2xeULbIzDn1bvXs90XYez375dopjHbyy+fmwOVoWGnMzjqEDa1zNZd+e2Bo6Bns42Hf6X8P+2He+wIef/zwNA52jus+WgS5+dt0sCrdsZ/DPu619LueyLyibzjjep3183TomHOlk5vo9zCvdzwN/WMr/uOZlnpuZPNwmXjOHXz/5TyO+v67BOP9h6lwA8ouLeeXAazlxa8E2Bmccq8Mm+Oayb09sNcU/f53EWzvYc20BP1k4n4tW/5Hn/tOttH1mHnnjCylq7hnVfZbkF3Lg4WvoWno15/1mvLXP5Vz2BWWL7IxjrLyq0jbYTWleEePyghvDF7/zV/R84i/fDFVwwTQueLGR753/e9Ycvolvnb+JiwtLRn3fXYNxSvILrXwuv2oBbvv0VZVhOtS0JGyCbyP1LVl7D/P+9m6qfv6fGUgE88t41fb5py3b+d/O5bHK1yjKG8+z03+T0aABWA8aMHZ+tmEUlC2yM47u2rmJovEtYTPS1ttXzkh8t5x/2cnLe//xag789f/KoSrZ8d4S5v5hOVWPJ+isLKb+ati/4kc5f9yRNtLvXVi57Mu2bczNOJo6rgib4NtIffkfmwn548grKOCCmcdyrErW3XUN+254imf++Ydc8fW3+PZtLwTyuCNtrPxswygoW2QHjrLiA2ETfBup77sbn4R/nULBv32QX1/y8vArZKEh28f/+Rvsvz6PZxbMCeRxR9pY+dmGUVC2yA4cPX2Twyb4NlLfxYUlbLn45/z8oleGv3GWOmlLQN4HPkBecVFgjz2SxsrPNoyCsg377lhXy8+Ph03wzWXfkO2dVY/z3NJzOGfc6QeChZnL3ztw2xeULbIDR0G+3fshcp3LvlTbZz7g+4fWQsnl7x247QvMlkgkIvmxbNmydWEboupz2aa+aNgiu4+D5KkWXM5ln8s2UJ9NgdiiPHBomhZSOnBomjbqojxw/DhswDC57HPZBuqzKRBbZA851zQtvKI849A0LaR04NA0bdRF8gAwY0wN8AgwDlgvIg8F8JjTSJ4s+zxgEPixiDxijJkEvABMBw4BRkRavHUeANYAA8A9IrLFW34l751jZhNw70hOQjUC4zhgO3BERG53zDYRWA9cCiSAzwF7XPAZY74CrPVcbwOrgZKwbMaYJ4HbgYaU065m7WdpjCki+bt8JdAMLBeRQ6MxRm7G4f3jeBT4K2AW8GljzKwAHrof+JqIXAzMA+72Hvd+YKuIVANbvet4X1sBXALUAI95doDHSb7eXu191GTJeC+wK+W6S7ZHgM0iMhOY7TlD9xljKoF7gKu8f6TjvMcO0/b0GdbNpmcN0CIiHwG+Bzw8WmDkBg5gLrBPRA6ISBx4Hlic6wcVkZiIvOldPkHyF7/Se+wN3s02AEu8y4uB50WkV0QOAvuAud65dstE5FXvf6NnUtbJOGPMVOA2kv+rD+WKrQxYQPKsfYhIXERaXfGRnHlP8M5dXELyvMah2UTkd5x+/uRselLv60VgoXdq1hEXxYGjEqhNuV7nLQssY8x04HJgG3Cud25cvM8V3s3SOSu9y6cut+37wH0kN6OGcsV2IdAIPGWMecsYs94Yc5YLPhE5AnyH5KlMY0CbiPzSBdspZdNzch0R6QfagHNGg4niwHGmkTGw15SNMaXAz4Avi0i7z03TObPuN8YMbQ//cYSrBGbzKgCuAB4XkcuBTrypdpqC/N6Vk/wfuAo4HzjLGLPSBdsIy8RjbY3iwFEHTEu5PpXk1DLnGWPGkxw0nhORoRN01nvTQrzPDcM467zLpy636VrgDmPMIZKbbp80xjzriG3o8epEZJt3/UWSA4kLvhuBgyLSKCJ9wEvAfEdsqWXTc3Idb/PsbE7fNPItigPHG0C1MabKGFNIcsfQxlw/qLcN+ASwS0S+m/KljcDQefdWAS+nLF9hjCkyxlSR3Dn1ujfNPGGMmefd550p62SUiDwgIlNFZDrJ78evRGSlCzbPdwyoNcbM8BYtBHY64nsXmGeMKfHucyHJ/Vcu2FLLpif1vj5F8vdlbM84vG2yLwJbSP6ARUR2BPDQ1wKfJfm/+Z+8j1uBh4CbjDF7gZu863gmIfkPZDNwt4gMePd1F8mdmPuA/UCu/vyXS7YvAc8ZY/4MXAb8vQs+bxb0IvAmyZdi80keth2azRjzU+BVYIYxps4YsybLnieAc4wx+4Cv4r/ZeMb0kHNN00Zd5GYcmqaFnw4cmqaNOh04NE0bdTpwaJo26nTg0DRt1OnAoWnaqNOBQ9O0Uff/ART+G0EXu+xAAAAAAElFTkSuQmCC\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# pixels with clouds are True, pixels without are False\n",
|
|
"raster_cloud_mask = scihub_cloud_mask(product_path,\n",
|
|
" rasterize=True,\n",
|
|
" target_shape=target_shape,\n",
|
|
" # the affine matrix is used to calculate array indices from world coordinates\n",
|
|
" target_transform=target_transform)\n",
|
|
"\n",
|
|
"plt.imshow(raster_cloud_mask)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Index Calculation"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import numpy as np\n",
|
|
"import numpy.ma as ma\n",
|
|
"\n",
|
|
"from rasterio.enums import Resampling\n",
|
|
"import rasterio.plot as rplt\n",
|
|
"\n",
|
|
"from sentinel_helpers import RasterReaderList, scihub_cloud_mask\n",
|
|
"from tqdm.notebook import tqdm\n",
|
|
"\n",
|
|
"from tempfile import NamedTemporaryFile\n",
|
|
"\n",
|
|
"out_dir = Path('resources/spectral_indices/')\n",
|
|
"out_dir.mkdir(exist_ok=True, parents=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "6435e6964cfa40c5b5d52e05ecedd34d",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"HBox(children=(HTML(value='Resampling datasets'), FloatProgress(value=0.0, max=2.0), HTML(value='')))"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"Wrote result to resources/spectral_indices/T33UUT_20180807T101021_NBR_10m.tif\n",
|
|
"CPU times: user 50.6 s, sys: 19.3 s, total: 1min 9s\n",
|
|
"Wall time: 39.6 s\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"%%time\n",
|
|
"\n",
|
|
"with RasterReaderList(highest_resolution_band_paths) as readers:\n",
|
|
" # build the band_map as described above and scale up where needed\n",
|
|
" band_map = {}\n",
|
|
" for reader in tqdm(readers, desc='Resampling datasets'):\n",
|
|
" band_num = reader.name.split('_')[-2]\n",
|
|
" data_resolution = resolution(reader.name)\n",
|
|
" scale_factor = int(data_resolution / target_resolution)\n",
|
|
" out_shape = (\n",
|
|
" int(reader.height * scale_factor),\n",
|
|
" int(reader.width * scale_factor)\n",
|
|
" )\n",
|
|
" \n",
|
|
" band_map[band_num] = (np.clip(\n",
|
|
" # we read only the first band to obtain a two-dimensional ndarray\n",
|
|
" reader.read(1, out_shape=out_shape, resampling=Resampling.bilinear, masked=True),\n",
|
|
" 0, 10000) / 10000).astype('float32')\n",
|
|
" \n",
|
|
" if scale_factor == 1:\n",
|
|
" # this is the target resolution which defines the shape of the\n",
|
|
" # raster file the data is written to\n",
|
|
" out_name = Path(reader.name).name.replace(band_num, index_to_calculate.upper())\n",
|
|
" out_name = out_name.replace('.jp2', '.tif')\n",
|
|
" out_path = out_dir / out_name\n",
|
|
" out_meta = reader.meta.copy()\n",
|
|
" \n",
|
|
" # ignore numpy division errors (i.e. divide by 0) in this context;\n",
|
|
" # divide by zero results in `nan`. clouds are masked using the\n",
|
|
" # raster_cloud_mask created above\n",
|
|
" with np.errstate(divide='ignore', invalid='ignore'):\n",
|
|
" index = evaluate_formula(band_map, indices[index_to_calculate])\n",
|
|
" # we need to invert the cloud mask (`~`) because we want to hide those pixels that are cloudy\n",
|
|
" tile_mask = ~raster_cloud_mask | index.mask\n",
|
|
" index = ma.masked_array(index, tile_mask)\n",
|
|
" \n",
|
|
" out_meta.update({\n",
|
|
" 'count': 1,\n",
|
|
" 'driver': 'GTiff',\n",
|
|
" 'dtype': 'float32'\n",
|
|
" })\n",
|
|
" \n",
|
|
" with r.open(out_path, 'w+', **out_meta) as dst:\n",
|
|
" dst.write(index.data, 1)\n",
|
|
" # note that the mask we write has an inverted interpretation of \n",
|
|
" # True / False due to the `.msk` file format\n",
|
|
" dst.write_mask(~index.mask)\n",
|
|
" print(f'Wrote result to {out_path}')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# to debug the cloud / tile mask, uncomment these lines\n",
|
|
"# plt.imshow(tile_mask)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"with r.open(out_path, 'r') as src:\n",
|
|
" rplt.show(src)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# writing the mask explicitly works:\n",
|
|
"# dst.write(index.data, 1)\n",
|
|
"# dst.write_mask(~index.mask)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"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": "3.8.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|