{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/worldbank/OpenNightLights/blob/master/onl/tutorials/mod4_1_time_series_charts.ipynb)\n", "\n", "# Time Series Charts\n", "\n", "In the last module we worked through some basic operations and visualized the results as map layers. For analytical work, it is also useful to plot the data in charts. For understanding temporal dynamics, which is a common desire when working with remote sensing, you will want a line graph that shows quantities of a variable over time, commonly known as a time series graph.\n", "\n", "### Quick caveat on charts with the Earth Engine Python API\n", "Google Earth Engine (GEE) provides a User-Interface (UI) module for creating charts directly in the Editor. It's built on the Google Visualization API if you're familiar with that in other Google products.\n", "\n", "Unfortunately, the UI module is not availabe through the Python API, including the `ee` library, but we'll introduce some Python-centric approaches to extracting and visualizing data. \n", "\n", "As an additional constraint, plotting data in this manner requires you to actually extract data from its location on Google servers (\"in the cloud\") to your local machine for visualization. Just as with any data extraction, there are constraints to how much data you can actually move, so it will be prohibitive to plot very large scenes. \n", "\n", "This is a limitation of using the Python API, but for our tutorial, we'll make sure you're familiar with the basic concepts you can use to advance to working with larger, more complex data. If you find you are hitting limits, you will want to look into using the native GEE Editor (i.e. conducting your entire workflow within the cloud) -- as mentioned, it has comprehensive documentation. Or you might consider investing in resources, time, and training to extract and process this data yourself. This is becoming easier to do and the full world of remote sensing analysis awaits you! But is out of the scope of this tutorial.\n", "\n", "In this exercise, we will create a simple time series for VIIRS-DNB values at a specific location. We'll also build on what we've learned reduce data for a region, such as in {doc}`mod3_4_cell_statistics_band_math`, to create time series for an entire region.\n", "\n", "**Our tasks in this exercise:**\n", "1. Extracting VIIRS time series data and converting to a pandas dataframe\n", "2. Create a 2014-2020 time series graph from VIIRS-DNB data for a point in Seoul, South Korea\n", "2. Create a 2014-2020 time series graph for Sum Of Lights (SOL) for South Korea\n", "\n", "## Extract time series data and convert to pandas dataframe\n", "\n", "Those familiar with Python know that `pandas` is an indespensible library, a package data analysis built on another indispensible package, `numpy`. We will extract the data from our raster file of VIIRS-DNB radiance and convert it into a pandas dataframe in our local computing space so that we can use a plot libraries, `matplotlib` and `seaborn` to make our line graph.\n", "\n", "First we define our point of interest: the location of Seoul Olympic Stadium (a.k.a. Jamsil Olympic Stadium). Technically we'll pick a lat/lon coordinate in the stadium and create a 500m buffer around it.\n", "\n", "Then we'll grab a collection of VIIRS-DNB monthly composites from January 2014 to May 2020." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import json\n", "import pandas as pd\n", "\n", "# reminder that if you are installing libraries in a Google Colab instance you will be prompted to restart your kernal\n", "\n", "try:\n", " import geemap, ee\n", " import seaborn as sns\n", " import matplotlib.pyplot as plt\n", "except ModuleNotFoundError:\n", " if 'google.colab' in str(get_ipython()):\n", " print(\"package not found, installing w/ pip in Google Colab...\")\n", " !pip install geemap seaborn matplotlib\n", " else:\n", " print(\"package not found, installing w/ conda...\")\n", " !conda install mamba -c conda-forge -y\n", " !mamba install geemap -c conda-forge -y\n", " !conda install seaborn matplotlib -y\n", " import geemap, ee\n", " import seaborn as sns\n", " import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "try:\n", " ee.Initialize()\n", "except Exception as e:\n", " ee.Authenticate()\n", " ee.Initialize()\n", "\n", "# identify a 500 meter buffer around our Point Of Interest (POI)\n", "poi = ee.Geometry.Point(127.072483, 37.515817).buffer(500)\n", "\n", "viirs = ee.ImageCollection(\"NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG\").filterDate('2014-01-01','2020-5-31')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Extracting all image values in the collection\n", "\n", "To make a time series, we need to get all the values in our collection using the `map` function. We'll create a custom function in Python that takes a single image as an input and reduces the data in a given region (our point of interest in this case).\n", "\n", "We'll get the mean of the pixels in our region and set the scale to 30. We'll use the `avg_rad` band.\n", "\n", "We'll then need to set this reduced info as a property (we'll call it \"mean\") in our image so that the output of our function is to get the mean radiance of a particular region, and add this as a property on our image along with the date." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def poi_mean(img):\n", " mean = img.reduceRegion(reducer=ee.Reducer.mean(), geometry=poi, scale=30).get('avg_rad')\n", " return img.set('date', img.date().format()).set('mean',mean)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We map this function to every image in our collection to get a new ImageCollection, but now each image has the mean value for the region of interest and the date. These are the data we'll make our time series out of." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "poi_reduced_imgs = viirs.map(poi_mean)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To convert to a pandas dataframe, we dont want an ImageCollection; however, so we will reduce our images to a list of lists:\n", "- for each image, we have a 2-element list that contains that images date and mean value (for our point of interest)\n", "- each of these lists are themselves elements in our outer list, which is what we'll convert to a dataframe" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "nested_list = poi_reduced_imgs.reduceColumns(ee.Reducer.toList(2), ['date','mean']).values().get(0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This nested list can be turned into a dataframe using the `.DataFrame` constructor. We'll name the columns, \"date\" and \"mean\"." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " date mean\n", "0 2014-01-01T00:00:00 61.927905\n", "1 2014-02-01T00:00:00 51.591837\n", "2 2014-03-01T00:00:00 51.378309\n", "3 2014-04-01T00:00:00 59.228776\n", "4 2014-05-01T00:00:00 63.510432\n", ".. ... ...\n", "72 2020-01-01T00:00:00 44.474762\n", "73 2020-02-01T00:00:00 38.256775\n", "74 2020-03-01T00:00:00 46.065028\n", "75 2020-04-01T00:00:00 45.411734\n", "76 2020-05-01T00:00:00 35.520984\n", "\n", "[77 rows x 2 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# dont forget we need to call the callback method \"getInfo\" to retrieve the data\n", "df = pd.DataFrame(nested_list.getInfo(), columns=['date','mean'])\n", "\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! Now we have a dataframe with each observation (month) as a row and it has the timestamp and mean values.\n", "\n", "A reason pandas is so powerful is that it has built-ins, like a method to convert our string timestamp into a native timestamp data type.\n", "\n", "We will also set our date column to be our index. Doing these things allows our `.plot` library to automatically convert the dates into nice readable dates on our axis." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " mean\n", "date \n", "2014-01-01 61.927905\n", "2014-02-01 51.591837\n", "2014-03-01 51.378309\n", "2014-04-01 59.228776\n", "2014-05-01 63.510432\n", "... ...\n", "2020-01-01 44.474762\n", "2020-02-01 38.256775\n", "2020-03-01 46.065028\n", "2020-04-01 45.411734\n", "2020-05-01 35.520984\n", "\n", "[77 rows x 1 columns]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['date'] = pd.to_datetime(df['date'])\n", "\n", "df = df.set_index('date')\n", "\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "OK! Now we're ready to make a plot.\n", "\n", "## Create a time series graph for VIIRS-DNB from Jan 2014 to May 2020 for Seoul Olympic Stadium\n", "\n", "We'll create a time series, but first let's get a look at where we're analyzing." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f351a22a4d814f62924462d08483928a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map(center=[37.5158175129507, 127.07248301794745], controls=(WidgetControl(options=['position', 'transparent_b…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "koreaMap = geemap.Map()\n", "koreaMap.centerObject(poi, zoom=13)\n", "koreaMap.add_basemap(\"SATELLITE\")\n", "koreaMap.addLayer(poi, {}, \"Seoul Olympic Stadium\")\n", "koreaMap.addLayerControl()\n", "koreaMap" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our buffer encompasses almost the entire complex. Ok, let's look at times series graphs...\n", "\n", "Pandas dataframes integrates nicely with our plotting libraries. We'll use `seaborn` to make a simple time series line plot." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# we create a figure with pyplot and set the dimensions to 15 x 7\n", "fig, ax = plt.subplots(figsize=(15,7))\n", "\n", "# we'll create the plot by setting our dataframe to the data argument\n", "sns.lineplot(data=df, ax=ax)\n", "\n", "# we'll set the labels and title\n", "ax.set_ylabel('mean radiance',fontsize=20)\n", "ax.set_xlabel('date',fontsize=20)\n", "ax.set_title('Monthly mean radiance for Seoul Olympic Stadium (Jan 2014 to May 2020)',fontsize=20);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Brief observations:** we see some strong seasonal patterns here (peaks and values), which is perhaps not too surprising for a sports stadium. We also see a spike in late 2018 as well as the drop-off in early 2020 that is very likely an indication of COVID-19 impacts.\n", "\n", "Just out of curiousity...what is that spike? With dataframes we can easily find the date of that peak using the `.idxmax()` method to get the index (which is the month) of our maximum value." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "mean 2018-09-01\n", "dtype: datetime64[ns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.idxmax()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Hm, what was happening in September 2018? As it happens, 2018 is the 30th anniversary of the Seoul Olympics...perhaps there were a lot of events and concerts? \n", "\n", "With our time series data, we can also smooth our time series (this is again, easy with Pandas. We'll get a moving avg of 12 months to smooth our data out and see overall trends):" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(15,7))\n", "\n", "# we'll plot the moving averate using \".rolling\" and set a window of 12 months\n", "window=12\n", "sns.lineplot(data=df.rolling(window).mean(), ax=ax)\n", "\n", "# we'll set the labels and title\n", "ax.set_ylabel('mean radiance',fontsize=20)\n", "ax.set_xlabel('date',fontsize=20)\n", "ax.set_title(f'Monthly mean radiance ({window} moving avg.) for Seoul Olympic Stadium (Jan 2014 to May 2020)',fontsize=20);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see an overall trend that does seem to be decreasing, aside from our 2018 spike.\n", "\n", "These's a lot you can do for time series analysis, including a Fourier Transform to identify strong cycles or even ARIMA models or more complex models to forecast trends. We wont get into that here, but hopefully you can see the power of remote sensing to support time series analysis.\n", "\n", "## Time series using Sum Of Lights from Jan 2014 to May 2020 for South Korea\n", "\n", "Recall in {doc}`mod5_3_vector_and_raster_data` that we are cautious about calculating SOL for comparing regions since the scale of the reducer function can profoundly affect the aggregation; however, here we're comparing the same region over time, so we're comfortable using SOL.\n", "\n", "We will use the shapefile for South Korea in GEE and instead of using our mean reducer on a point of interest, we'll apply a sum reducer on all of South Korea. We'll adjust the scale to 500 meters and we'll have to set the `maxPixels` threshold to 1 billion." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "# get South Korea national boundary geometry\n", "sokorea = ee.Feature(ee.FeatureCollection(\"FAO/GAUL/2015/level0\").filter(ee.Filter.eq('ADM0_NAME', 'Republic of Korea')).first()).geometry()\n", "\n", "# revise our reducer function to be to get SOL for South Korea\n", "def get_sokorea_sol(img):\n", " sol = img.reduceRegion(reducer=ee.Reducer.sum(), geometry=sokorea, scale=500, maxPixels=1e9).get('avg_rad')\n", " return img.set('date', img.date().format()).set('SOL',sol)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At this point, the steps to map our reducer to our collection, reduce this further to nested lists, convert to a dataframe, and plot are the same, however!\n", "\n", "Getting the sum (even at 500m scale) will probably take a few moments...even with the infrastructure of Google at work." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "# reduce collection\n", "sokorea_sol = viirs.map(get_sokorea_sol)\n", "\n", "# get lists\n", "nested_list = sokorea_sol.reduceColumns(ee.Reducer.toList(2), ['date','SOL']).values().get(0)\n", "\n", "# convert to dataframe\n", "soldf = pd.DataFrame(nested_list.getInfo(), columns=['date','SOL'])\n", "soldf['date'] = pd.to_datetime(soldf['date'])\n", "soldf = soldf.set_index('date')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's get a look at nighttime lights for South Korea (we'll look at the median for our entire time period for visualization purposes...)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c165748468bf422e92f3af8a2defb335", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map(center=[36.34449219000825, 127.80177597242078], controls=(WidgetControl(options=['position', 'transparent_…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "koreaMap2 = geemap.Map()\n", "koreaMap2.centerObject(sokorea, zoom=7)\n", "koreaMap2.add_basemap(\"SATELLITE\")\n", "koreaMap2.addLayer(sokorea, {}, \"South Korea\")\n", "koreaMap2.addLayer(viirs.select('avg_rad').median(), {'min':0,'max':10}, \"VIIRS 2014-2020 mean\")\n", "koreaMap2.addLayerControl()\n", "koreaMap2" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(15,7))\n", "sns.lineplot(data=soldf, ax=ax)\n", "ax.set_ylabel('SOL',fontsize=20)\n", "ax.set_xlabel('Date',fontsize=20)\n", "ax.set_title('Monthly Sum Of Lights (SOL) for South Korea (Jan 2014 to May 2020)',fontsize=20);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Is the drop in 2020 an indication of lower activity or is it following a cycle? Further time series analysis, such as autocorrelation, leveraging historical data will be needed. It's also worth considering a metric rather than SOL and perhaps scaling our data against area or disaggregating according to urban vs rural, etc.\n", "\n", "**On your own**: could you use what we learned with {doc}`mod3_3_conditional_operations` to split the data into separate \"high\" and \"low\" radiance time series to potential assess time series in both groups?" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(15,7))\n", "window=12\n", "sns.lineplot(data=soldf.rolling(window).mean(), ax=ax)\n", "ax.set_ylabel('SOL',fontsize=20)\n", "ax.set_xlabel('Date',fontsize=20)\n", "ax.set_title(f'Monthly SOL ({window} moving avg.) for South Korea (Jan 2014 to May 2020)',fontsize=20);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Smoothing out our time series, we see quite an upward trend. What is interesting is we do not see a dramatic drop in 2020 in our aggregated metric. We've talked about cleaning and scaling data -- and that's something we'd probably want to do here before drawing strong inferences, but again getting data from a series of raster files to a dataframe you can plot and analze is just the start!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References:\n", "```{bibliography} ../references.bib\n", ":filter: docname in docnames\n", "```" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "hide_input": false, "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": "3.7.9" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }