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so hello everybody and welcome back to.another ruse Copernicus webinar my name.is Mel Castro and today I will be.guiding you through another topic this.time will be air quality monitoring with.Sentinel 5 pit data so before starting.let me tell you the objectives of this.session you will learn two main things.first how to monitor air quality with.sending all 5 P data and second what is.the route service and how it can help.you processing copernicus data in your.projects so just before starting be.aware that this webinar is being.recorded and you you will be able to.repeat this exercise by yourself I will.give you more information about that.later on during the exercise so let's.move on and have a look very quickly to.the outline of this presentation we will.first of all have a look to the study.area we will then cover very briefly the.use of remote sensing for air quality.monitoring from space we will then spend.some time introducing the Sentinel 5.piece satellite and then we will very.briefly describe the routes copernicus.service which is hosting this webinar.and we will use the route Copernicus.vector machines to run the exercise of.today at the very end depending on the.time we have available we'll have a Q&A.session that will last for 20 to 30.minutes so let's move on and let's start.by having a look to the study area so.this time we are not focusing our.analysis in a specific area but rather.we are focusing our methodology at the.global scale we will take advantage of.the characteristics of Sentinel 5 P and.that we will describe later on and run.this exercise at the regional and global.scale so let's move on to the background.of the air pollution phenomenon so air.pollution is a global environmental.health problem they are responsible for.millions of people dying every year from.smog hanging over cities to smoke inside.the home air pollution poses a major.threat to health and climate the.combined effects of ambient and.household air pollution caused about 7.million deaths every day every year.largely as a result of increased.mortality from stroke heart disease.chronic obstructive polymer pulmonary.disease or lung cancer.amongst others air pollution in cities.are mostly a mixture some visible such.as dust and soot but many invisible such.as very small particles and gases the.more visible components are evident the.smaller particles and gases can be.expected pollution is classified either.as primary or secondary primary.pollutants are substances directly.produced by a process such as the carbon.monoxide gas from a motor vehicle.exhaust secondary pollutants are not.emitted rather they are formed in the.air when the primary pollutants react or.interact zone is an example of a.secondary pollutant some of the main.airport ins are common carbon my.monoxide sulfur dioxide particulate.matter oxides of nitrogen or ozone if.it's tropospheric and just to give you a.final number of the importance of.reducing air pollution according to Lee.won't health organization ninety-one.percent of the world population so nine.out of ten people in the world live in a.place where the air quality exceeds the.guidelines of this international.organization.so let's now move to the remote sensing.background behind the use of satellites.for air quality so it is clear that.something has to be done to reduce the.impact of air pollution and governments.and decision makers rely heavily on.satellite data such as the one provided.by the Copernicus Sentinel 5b mission.but also they rely on computing models.to show how pollution accumulates and.how it is carried in the air in this way.they can develop appropriate mitigation.strategies Saturn remote sensing is.certainly a valuable tool for assessing.and mapping air pollution due to its.major benefit of providing complete and.synoptic views of large areas in one.image on a systematic basis.so let's now spend a little bit more.time on the center of five p mission I.want to spend this time since I guess.this is the first time you are dealing.with these data and since this is the.first rule Copernicus when we are.dealing with central 5 P so the main.objective of the center of five p.mission is to provide global information.on.atmospheric trust gases I results and.cloud distribution affecting air quality.and climate launched in October 2017.Sentinel 5b aims to fill the data gap.and provide data continuity between the.retirement of the Heaviside satellite.the NASA our mission and the launch of.the upcoming Sentinel 5 Sentinel 5.precursor also known as Sentinel 5 P is.the first Copernicus mission dedicated.to monitor our atmosphere the satellite.carries the state-of-the-art Trapani.instrument to map a multitude of truss.gases so Sentinel 5 P provides timely.data on a multitude of pollutants that.can affect our health and I won't here.to describe you to describe you very.briefly some of them for example.breathing air polluted with nitrogen.dioxide which enters the air from road.traffic and other fossil fuel combustion.processes can cause respiratory problems.carbon monoxide which comes mainly from.vehicles that do not burn fossil fuel.compared with use the amount of oxygen.that can be transported in the.bloodstream.Sentinel 5 P will also measure sulfur.dioxide which mainly comes from.industrial processes and motor vehicle.emissions but can also be in in volcanic.plumes again this pollutant can result.in breathing problems and the precursor.to acid rain another relevant.measurements is meeting which is a.potent greenhouse gas trapping about 30.times more heat per mass unit that.carbon dioxide methane can enter the air.from the fossil fuel industry livestock.farming and rice agriculture for example.and also as a result of thawing.permafrost.the mission will also map a less known.pollutant which is the formal date which.can be released into the atmosphere.through wood processing industries and.from forest fires it can irritate the.skin and affect the health last but not.least ozone so unlike ozone in the.stratosphere which protects us from the.Sun.ultraviolet rays awesome in the lower.atmosphere can cause respiratory.problems and condemn its vegetation here.it forms when nitrogen oxides and.volatile organic compounds combine in.the presence of sunlight it is the main.ingredient of Europe and smog and.Sentinel 5p will measure both the good.and the bad also so let's not focus on.the characteristics of the satellite in.this occasion we have a single satellite.mission if you compare this to center.one and center two or three we have a.dual satellite which are dual satellite.missions in this case we only have one.satellite for Sentinel 7:50 mission with.a slope of two thousand six hundred.kilometers it has a daily revisit time.and a spatial resolution of seven by.three point five kilometers and it.follows our polar sun-synchronous orbit.in loose formation with the suomi.mission from north and those formation.here means that Sentinel 5 P orbits.three point five minutes behind the.suomi instrument and the reason to this.is that the Swamy visible infrared.imager and radiometer provides a.co-located high resolution cloud mask.which is important for the detection of.calculation of methane so let's talk now.about the instrument carried by Sentinel.5 P so what sets tropi me apart is I.measure the ultraviolet and visible near.infrared and shortwave infrared spectral.bands this means that a wide range of.pollutants can be imaged more accurately.and than ever before and with the.resolution of seven by three point five.kilometres has the potential to detect.air pollution over individual cities so.let's move on down to the different data.products produced by Sentinel 5 P data.probes from 752 eponymous instructor.pollen instrument are distributed to.users at two levels we have level 1 B.which provides geo-located and.radiometrically corrected top of the.atmosphere earth radiance in all.spectral bands as well as solar.irradiance and we have also the level 2.products which provide Atmospheric.Geophysical parameters in line with the.needs of numerical first forecasting.systems level.products are to be supplied within three.hours after sensing this near-real-time.service delivers products for ozone.sulfur dioxide and nitrogen dioxide from.a date for malate and carbon monoxide as.well as vertical profiles of ozone cloud.and aerosol distribution in addition to.the near real-time service an extended.list of products will be supplied in non.time critical or offline taking.advantage of increased accuracy is.achievable when specifically operations.steps can be made with less constraints.in time so let's move on now that we.have a clear idea of what is central.a5:p and what are the characteristics of.this mission and then let's describe the.rouge Copernicus service by the way.before moving into this here you can see.the list of level 2 products is.available from Sentinel 5 P you see we.have a specific product for every gas.and use for you to know what we are.going to do today we will be using the.aerosol product and the nitrogen dioxide.products so we will focus our analysis.using those two analysis.stay tuned for upcoming webinars where.we will give more information about the.rest well so let's move on for the rusco.product or service as you might know.Rouge stands for research and user.support for scent electrode products it.is an initiative funded by the European.Commission and managed by the European.Space Agency with the objective to.promote the uptake of Copernicus.Sentinel data and support R&D activities.the service provides a free scalable and.open platform in a powerful computing.environment hosting a set of open source.tool boxes pre-installed on virtual.machines which allow you to handle and.process the data and derive from the.sentence satellites so what does that.mean well with the large amount of data.and produced by the senton satellites.the challenge is no longer data.availability but rather storage and.processing capacities so to solve that.Bruce offers vector machines so that you.can have the appropriate computing.environment to handle data.addition cruz also provides a.specialized user help desk to support.your activities when dealing with remote.sensing data and setting data and a.dedicated training program such as the.webinar you are following today so you.can find all the information about the.project and how to register on our.websites I recommend you to check them.after the webinar if you want to get.familiar about the service and its.specifications and I also want to show.you our YouTube channel where we upload.all previous webinars so in a couple of.days you will be able to watch the.recorded version of this webinar in the.YouTube channel and by the way it will.also be available in our roots training.platform together with document.summarizing the Q&A discussion we will.have at the end of this session so let's.start after this introduction with our.exercise and for that let's move to the.Bruce copernicus virtual machine which I.have here so if this is the first time.you are dealing with virtual machine.I just want to give you a brief.introduction this is a Linux based.virtual machine where you have.everything you would expect in a regular.computer you have your own internet.browser you also have your file manager.system to navigate your folders and the.data you have and you also have a.predefined list of software that has.been stolen so remembering the ruse.copernicus crypto machines come with.Princeton software and here you can see.some of the icons for some of this.software so the first thing we have to.do for this exercise is actually to.download the data we'll be using quite.some large lists of problem set but I.will show you how to do the the first.ones we are going to use so for that.let's go and open the Internet browser.so Sentinel 5p or the data of sentinel.5p are still in what we call the.pre-operational shop it means that it's.not still on the on its final location.and that's why we have to go to this.specific pre-operational hub so to.access the hub the first thing you have.to do is to login you can use the guest.credentials that is provided and once.you are logging in the platform you can.start to search for your data since we.are going to run our analysis at the.global scale we don't need to define any.specific study area so we can just.define the parameters we need to search.for so in this case we open the side.menu and we set the sensing period and.this time we are going to be analyzing.products from the 17th of May 2019 so I.will just put the dates here the next.thing we want to specify is the mission.in this case sending FFP we also want to.specify the product type remember I was.showing you that today we will be using.only the arrows own products and the.no.2 if you open the product list you.will see there is a long list of.products available for sure and remember.today we are interesting we are.interested in the parasol product and in.the no.2 product so I will show you the.data download for this one the same.applies for the second one so we select.the aerosol product for the processing.level it's not necessary but just for.redundancy we will put level two and.again for redundancy we will put that we.want an offline product so it's not a.near real-time so once we have this we.can just search press on the search icon.and look for our data and here we have.the list so when downloading offline.products what we get is actually the.full orbit instead of individual images.and that's why you can see on the map.this shape of the products so in order.to download the product is very easy as.with center of ones 2 or 3 we just need.to click on the arrow and then save the.file it will be saved remember in the.Roose Copernicus petrol machine not in.your computer since we are using this.cloud environment so.we have to do this for all the images of.the 13 products however to save time.I've done this in advance and we can.just move on so let me close the browser.and let's move on so in this exercise.and to analyze our data we will use the.basic and VSAT atmospheric toolbox also.known as bit toolbox to analyze the.center 5 data and run our analysis the.bit project aims to provide scientists.with tools from ingesting processing and.analyzing atmospheric remote sensing.data and the project consists of several.components with the main ones being.called a harp and visa I want you to.give you a little bit more of.information about vision since it is the.platform we will use day so vision is a.cross-platform visualization and.analysis application for atmospheric.data the application uses the Python.language as the means through which you.provide commands to the application and.the Python interface for coda and harp.are included so that you can directly.ingest data within vision.finally vision provides some very.powerful visualization functionalities.for 2d and multiplets so let's open.vision in our Rose VM we have here and.the first thing you will see is this.Python shell and command-line interface.that you can interact with you also have.a starting message if you are new to the.software or moodle data I would.recommend you to go through this so the.first thing we want to do it is to.explore a little bit the products we.have just downloaded and for that we go.to file browse products and then we.navigate to the specific folder where we.have saved the product so here you can.see the list of 13 projects we I have.done already in advance and we are going.to explore very briefly the first one so.I select the first product clicking open.and now I have this window appearing.here so once open vision gives you the.option to navigate the Sentinel 5p.product if you go to the products folder.and also access metadata information.of course in the metadata phone the.product folder contains data of interest.as 2d arrays such as the Arizona index.the error estimates the quality index.etc within the product folder you can.find the support data sub folder that.contains additional and auctioneering.data such as geolocation Flags lat/long.bounds satellite position etc so let's.have a look very briefly to the arrows.on index to the first one here now you.can see that in the 2d creating the.array the first thing we have is invalid.data since the day so this is just.because the orbit the first acquisition.in the orbit is just invalid data but if.we go down a little bit you can see.already the measurements so this you.this gives you already a first look at.the data but of course not very.intuitive you cannot make any conclusion.out of it so the second level of.visualization yet that you could do is.to plot a 2d graph so for example we can.go here and just set the parameter for.the row and visualize our data as a 2d.graph this already gives you an idea of.the variation in the data but still is.not very visual since we are working.with satellite imagery so with images so.what we want to do now is to actually.create a visualization of the product.and for that we are going to close this.window here and back in the command line.interface we are going to use a specific.command which is called.HAARP import so this command here will.create the Python command to perform and.import a specific product so the first.thing we have to do is to set the path.to the product we want to visualize in.this case I will navigate to the product.of interest in this case it's going to.be in this one then I'll just clicking.up for the operation tab well the.operation tab gives the possibility to.provide a single string where individual.operations are separated by a semicolon.however for this exercise we will leave.it empty since we will explain the.operations later on for the ingestion.options gives the option to ingest.different variables from the center of.5p product to the Harpe converted.product but again for this exercise we.will leave it empty since we will deal.with this later on so once you have our.product defined in the file path we just.need to name this product with a part.with a variable name this case I'm going.to call it sin s5p on the score arrows.also a e art and just import so you have.to take into account then the.interaction we will have with the.software in this exercise is always.going to be through through code through.command-line interface so once we have.our product imported in order to plot it.we just need to write a specific tool.that's called W so it's called W plot.and we just write the name of the.variable that is pointing to our.products in this case s 5 P and then a.er and if we do so and click enter the.plot is visualized so let me just.arrange very quickly the layout of my.windows to have a verbalization and here.we have.so here you can see the the product we.have just downloaded and of course this.gives us much more information and gives.us the ability to interpret the data in.a better way than before in the table or.in the 2d plot so you can see the.absorbing aerosol index you can save.different values and just to give you an.idea of how to navigate this plot with.the left-click on your mouse you can.just navigate in any direction if you.want to zoom in you can right click on.the mouse and just go up or down in.order to zoom to a specific area so you.can see already the center of 5p is very.good at seeing spatial patterns and its.special solutions helping a lot to.identify the pollution in specific areas.you can play a little bit with the.visualization of this plot if you go to.view properties you can change for.example the color bar you can change the.minimum and maximum values however for.in this occasion I would leave.everything as default but this is.completely up to you so this is just a.very brief introduction to the software.and to its capabilities to visualize the.products and let's now start our.analysis actually so with the objective.to create our world map of the aerosol.index we first need to process the.senton 5p level two products to keep a.single grid per orbit and to convert the.level two products into bullets called a.level 3 product the conversion is done.combining several operators in a single.cone and I want now you took pay.attention to these steps since we are.going to be repeating this processing.during the whole session so I have a.couple of slides to explain you what we.are going to do and then we go back in.here so remember always that we are.interacting with the software via.comment via a specific code that we have.to write of course we are giving this.code to you already in advance so you.don't need to worry so the first.operator we need to apply over the first.let's say tool that needs to be applied.to the data is known as the Harpe bin.space.so the digital maps all time samples.into a regular spatial lat/long grid for.all variables in a product the choice of.the spatial resolution that it's set by.the LAT alone each step parameter and.the boundaries which are set by the.lat/long edge offset parameter can be.chosen by the user but please note that.a higher spatial resolution and the.larger area of interest increases.processing time so there's always a.balance to be made if you are targeting.a specific study area which is very.small then go for the full resolution if.you are targeting global maps be aware.that if you don't regret to a lower.resolution you will have to think about.a long processing time so this is going.to be the first operation we will do to.our data you can see here an example of.how you set the parameters for this tool.so it's just starting and end of the.latitude and longitude and then the.offset the second operator we need to.apply is the derived operator.so when spatially binding a product with.the beam special tools or two with we I.have just explained only the lat/long.bounds of the grid cells will be saved.in the output product so to write the.lat/long Center coordinates of the pixel.or of the new spatial grid we are.creating in the output we use the derive.operation and the third operator we will.use is the comparison filter which.filters a dimension for all variables in.the product such as such that the items.for which the value of the provided.variable doesn't match the expression.gets excluded so it's just a tool that.we used to compare specific variable and.discard everything that's not equal so.once the concepts of the steps we will.combine is clear and please make sure.you are in line with this we will use.the comment line tool to combine all of.them so it's not that we are going to go.one after the other but we will combine.them in a single call and process our.product so the common the common line.tool allows to define a list of.operations in our case the list of.operations is.special derived and the comparison to.apply to each product using the a.parameter so let me show you what I'm.talking about.so the common line tool is called harp.convert that's how we call it at the.beginning and then we have to set the a.parameter the a parameter specifies that.after that we will set a list of.operations to be applied to the product.remember our list of operations is the.is what I just explained so we just put.the a parameter and we open a quotation.so here you can see let me highlight.this in my presentation so we put the a.parameter then we open the quotation and.we start to write the commands of our.tools in this case we have the first one.then to write the second one we put a.semicolon and we keep adding the next.one in this case the being special again.semi-coma at the end and then we put the.derived once you have put the complete.list of operations to be applied close.the quotation in order to make the.software understand that this is the end.of the tools they have to be used to.process the data once this is set the.only thing you have to do is to set the.path to the input product you want to.direct to process so in this case we put.the path so in this case third training.etc and then we put the Sentinel 5p.product we want to process and here you.can see it next we put the output.directory where we want to save the.output together with the output name of.the result so in this case my output.directory is going to be this one sure.training processing etc and here you can.see the output name for the product and.of course we give the same format for.the product so once we are clear with.what we are going to do let's go back to.the vector machine and let's run this.specific command for that I navigate.first of all to the folder where I have.my data in this case here this is.data I want to process I will open the.terminal here so right click open.terminal and I will just copy paste the.code I was showing before I have it in.my actually in my out data folder so let.me just copy paste it very quickly so.this is exactly the same as what I have.explained previously on the slides so.you just need to open the terminal in.the right folder and write the comment.let's press ENTER and see the result.okay so the result is done and as you.can imagine the output has been saved in.the appropriate folder so here we have.it.it is this one so once the project has.been created the next thing we want to.do is to visualize the product so the.procedure is the same as before we go to.file' Harpe import we specify the file.path so in this case we navigate to the.specific folder and we select the file.and then we just write the output name.of this variable in this case I'm going.to call it a e-r underscore level 3 so.the problem is now imported into design.now we just need to write a specific.command to visualize it and for that we.are going to use a specific code just to.make sure that we are displaying the.right product if you use or at least my.experience if you used all you plot and.just the name of the variable you will.get them you will get different layer.being displayed so you can avoid this by.specifying the exact layer of the.product you want to display so here we.have the product and just for comparison.I will put it next to the previous one.so you can understand what we have done.so the idea was to let's say we project.the product into a common grid since our.target or our final target is to produce.a world map so we want to have our.products in a common great that covers.of all.and Fidel of course somewhere something.has been done in order to merge pixels.that were named neighboring pictures.click stones so you can see the.difference.indeed in resolution you can see that my.left problem is has a much lower spatial.resolution compared to the first one but.that is fine as far as you are targeting.global application so in our case we.want to produce our world map so we are.not that interested in the details of.specific study areas and that's why.downgrading the spatial resolution of.the problem is not an issue right now.however if you are targeting a specific.study area you might not want to do that.again the spatial resolution is up to.the user up to the application etc so.this is the result but when we want to.do now as I said is to produce a world.map so Sentinal 5p offline products are.delivered as single file orbits and to.create a world map using all the.products available within a day they.only to be processed as explained before.so we need to do this for all the files.for all the orbits that were acquired.that day and once they are present we.need to merge those products and create.final product diets the world map so.once it's Sentinel 5 people this fappy.product is processed to keep a single.grid per orbit we will concatenate all.the outputs files to create a world map.and for this we will use a specific tool.operate a specific operator of that off.of Harvell.it's called Harpe merge which combines.multiple products from files or.directories by appending them across the.time dimension and stronger result into.a single output file so how does it work.let me go back to my slides to show you.the sequence in the code so the first.thing we do is we write Harpe merge.which is the keyword for the tool.and then we define a list of operations.to apply to the merged products so.that's why in this case let me highlight.it we have the AP parameter here so by.writing a peak we are saying to the tool.we want to apply a specific list of.operations to the merged product but not.to the input products that have to be.merged so in this case the operations we.want to apply to the merge product are.intended to properly export the output.merge product the bin operation will.average each of the Latin language cells.over time and the squash operation will.remove the time dimension created by the.bin operation from the lat/long.variables to have property referenced.products for photo use in software such.as QGIS or panop in case you're.interested so this is what we're gonna.do here and remember you put the AP.parameter you open quotation then you.specify your tools which are separated.by a semicolon and then you close the.quotation this is the syntax that you.have to follow so once we have declared.the tools that we want to apply to the.output merged product of course we have.to define the tools that have to be.applied to the input products before.they are merged and there's no surprise.here what we are gonna do to the pulse.is the same as with it before so we put.the a parameter which defines the list.of operations to apply to each product.before they are appended and in this.case we are doing the same processing as.hard convert and that we did in a.previous part so we put the a parameter.with open quotation and basically these.commands here are exactly the same as.what we have put before and then we just.close the quotation.so after this it's very easy we just.need to specify which are the input.products we want to process and where we.want to save the output so for that we.specify that we want to process all the.products.within the folder in this case we.specify we put the asterisk asterisk.icon to specify that we want to possess.all the products that start with the.following pattern in this case we are.taking advantage of the naming.convention of Sentinel products to.identify those so in this case we are.saying all the products in my folder.that start with s5p on the score of line.etc and then ends by dot and C are the.ones we want to process and after this.we just specify the output path for the.output product so this is the output.path and then just the output name and.the output format so once this is clear.let's go back to the vector machine and.run this command let's go here so we.navigate to the folder where we have our.products in this case here remember.before we process this product now we.want to process all of them so we just.right click open terminal here and we.write the command I've just shown in my.slides so let me copy pasting from the.txt file I have here it's going to be.this one.okay and let's go back now to the.terminal window and just put it back.okay so let's run it and let's have a.look to the result it's gonna take like.one minute so I just want to take.advantage of this time to remember what.we are doing we process one single orbit.and we let say we sample it or we.reprojected into a specific width and.then we are doing the same for all the.products that were acquired on the 17th.of May 2019 so that they are all in a.common grade so that we can combine them.we can merge them and create a world map.of the errors own index capture by.sending a 5 P so once the process will.be finished we will proceed as before we.will go and import the product using the.Harpe import tool I will just visualize.that in the visualization tool of visa.ok so the process is finished so let's.have a look to the result so how will.minimize this and again we go to file.harping port we navigate the path where.the output has been saved in this case.sorry in this case here 3 and this one.here global arrow on level 3 so that's.important and let's change the variable.name to something more meaningful so.level 3 underscore global and now we can.just again use the specific W plot.command to show the result again I'm.using a customized command to make sure.there is no mistake again just based on.my experience if you use only do you.plot plus the variable name it would.give you the wrong layout so here we.have the world map for the aerosol index.on the 17th of May 2019 so let me first.of all change a little bit visualization.so.we get a better view I will go to the so.to the view properties and in the color.bar I'm gonna change the color bar title.to absorb in our also index I will also.change the minimum and maximum values -.-5 + 2 5 remember each time you change.the parameter in the properties just.click enter to let's say input the.parameter to the software and we can.also put title to the plot so the.bibbidi our index on 20 1905 17 okay so.let's now have a look to data and you.can see that by processing all the file.or all the orbit files with the hard.convert command by let's say we're.projecting them into a common grid we.are now able to merge them together and.create this moment you can see of course.that in the Sahara Desert.we have high value for the air so Linux.which makes sense also in some cities.over China etc by the way just for you.to know if you look in the ocean we can.see that there are some high values.appearing and those are caused by the.Sun glint and this can be removed by.doing photo processing in vision by just.applying a quality filter I will not go.today that deep into the data processing.since I want to keep it as simple as.possible for an introduction to.something a 5p data in the future we.will explore those options a little bit.more so once we know how to create world.maps with Sentinel 5p data for specific.product in this case the aerosol let's.move.next application so in this case what we.want to do is to monitor a fire event.using the aerosol index you know already.in ruse we've done other webinars.related to fire with done the fire.detection Center 3 or the burn area.mapping in this case a different.approach we will use the Arizona index.of Sentinel 5 P to monitor the smoke.produced by a fire event so let me.introduce you the study area we were.gonna be working now so as I said taking.advantage of the Sentinel 5 P temporal.resolution we will now explore the.capabilities to pointer a fire event in.California in the USA using the aerosol.index level to profit because you don't.know the 2011 to 2018 wildfire season.was the deadliest and most destructive.well first season on record in.California with a total of eight.thousand five hundred twenty seven fires.burning in November 2018.strong winds aggravated conditions in.another round of large destructive fires.that occur across the state this new.batch of wildfires include included the.Woosley fire and the campfire becoming.both california's deadliest and most.destructive wildfires on record so how.are we gonna process our data to analyze.this effect let's first of all go back.to our vector machine and the data for.this X the data for this study area has.been already downloaded in advance as I.show at the beginning of this session I.just want to show you that what I have.is basically the sending RFP offline.level 2 I also index products for that.specific location for different dates so.my time series starts in the beginning.of November 2018 so this is the image.from 2018 1102 and then you can see I.have the same for the day after the day.after.day after etcetera so it starts on the.2nd of November and it finishes on the.21st of November of the same year.remember with something like five people.have daily revisit time and this is.great so what we are going to do is to.process our products with a similar.command line script so let's process our.data and for that we are going to use a.similar code that we have used before so.I would not go step by step as before.since it's more or less a repetition but.I will explain it briefly I have it here.and what we are going to do is just to.copy paste directly on the terminal so.this is the folder where I have my data.I will open the terminal here and I will.just paste the command and what the.command will do basically it's a hard.merge so remember we are merging.products not only spatially but in the.also in the time dimension we are.specifying with the a parameter the list.of operations we want to run to the.probes before being merged in this case.we are specifying a specific study area.by defining the latitude but also the.longitude we are also defining with a.beam special which should be the size of.the special grid that we will use to.reproject.the products in this case we are setting.0.1 as offset then you can here see the.derived operation to derive the center.coordinates and basically after that we.are closing the quotation remember and.defining our input products in the same.way we are using the asterisk to define.that we want to process all the products.that start with this specific pattern.and then we just set the output path and.the output name for the product so let's.run this and have a look to the result.so again we process the data in the.terminal and then we visualize the data.in the vision visualization.- in this case we are doing a time.series analysis that will allow us to.see how the Arizona index is evolving.while there are some fires happening in.the area so the process is finished and.you can see it's very fast but don't.don't be confused about this is.basically because I'm defining a quite.low spatial resolution if you define.something higher then it will take more.time just done but just in order to keep.this as a live demonstration I will.leave it like that.so let's import the product and for that.I go to file harp import I define the.file path the product I've just.processed so in this case it's gonna be.in the processing folder in the file.California and it's going to be the.first one and for the name I'm just.gonna call it with an easy her name is.going to be just fire and just import in.this case we can directly use the W plot.command we want to create any problem so.we just write W plot and the name of the.variable that points to the profit and.click enter sorry I just put the wrong.capital F ok there it goes so here we.have this interactive visualization.design so let me just resize my windows.the first thing we want to do is to.arrange a little bit the layout so first.of all let's go to our area so you can.see that with the study area that we.have defined in terms of latitude and.longitude coordinates we have take trip.the product to a specific area and.that's why we only see this as a result.what we want to do first of all is to.change a little bit the visualization so.we go to the properties tab and in the.color tab we are going to first of all.change the number of labels to five.percenter I will then put the minimum.value.two minus five again and the maximum to.five and next I will just change I will.define our plot title and in this case.I'm gonna set absorbing I also index and.I will just put the bottom using so this.is three five four three eight eight.nanometers okay so once we are done with.observation we can close it and now we.just need to set the parameters for the.time I mentioned this relation at same.so in this case we want to display the.the view as a loop we will set the speed.to one just to go slow and we can now.press the play button and see what's.happening so you see that at the end of.November there were no fires and.suddenly fire starts and the Arizona.index starts to increase of course.because of the smoke and all the.particles being released to the.atmosphere and then the visualization.starts again by the way if you are.curious to know which image which is the.date of the image being shown you can go.to the properties and in the attributes.you can see that while the animation is.moving in the date time start parameter.you can see the value so in this case.you see for the fifth of November 6 7.and then the 8th of November the fire.starts to be reflected on the aerosol.product ok so now you know how to.monitor a fire event with sending a 5-2.datum and how the iris or product can.give you actually quite useful.information about the status of a fire.or the extent of the air pollution let's.now move to the second part of the.analysis I told you at the beginning we.were using two products one was the.aerosol product.one is the no.2 product so no.2 you know.rates causing a lot of issues in terms.of our pollution and to explore the.capability of Sentinel 5p to detect.emirate or other pollutants we will.create a daily average tropospheric.vertical no.2 column using the Sentinel.5p level 2 no.2 product it's a little.bit of too much numbers but it's like.that so how are we gonna proceed again.the data that we are gonna use for this.exercise or for this part of the usage.has been downloaded in advance with.methodology I've shown before so let me.just show you the data in this case I.have it here in the original folder and.no.2 so you can see here I have the.Sentinel 5 P offline level 2 no.2.products and you can see the dates in.this case we are using images or.products from the 24th January 2019 so.at the beginning of this year so what.should be the procedure it's again the.same thing we go to the folder where we.have our products and we open the.terminal here so I'm opening each time a.new session and now we just write the.write code that we need to process our.image and this code is being provided to.you so in this case here's the what we.are gonna do now and you can see that.it's kind of a repetition of the.previous steps so there's not that much.to change between one code and another.way and let me show it to you so first.of all with we start with the Harpe.merge operation so you know already if.we set the hard let's please it's.because we're gonna be combining.multiple products then with the AP.parameter we define list of operations.that we want to be applied to the output.product you know already the beam.operation and the squash operation then.we close the quotation for the AP.parameter and we open the a parameter.again with its quotation and this is a.similar list of operations as before we.see the definition of the coordinates we.see that we are applying in this case a.tropospheric.and tropospheric no.2.number density validity in this case.higher than 75 if you are curious about.this this is just to remove let's say.the effect false alarms and you can read.more about this and I really encourage.you to do so in the Sentinel 5p.technical and user guides are available.in the ISA website if you know if you.want to know more about the.specification of the products and the.algorithms are being used then we are.using the beam special tool as before we.are setting the size of our grid and we.are using the drive operation to set the.central coordinates of the grid again we.are specifying the input products in the.same way and specifying the output.directory with the output name and the.output Foreman so let's run this and.have a look to the result so the process.will run and again we will use the Harpe.import command line to visualize the.result.okay so the command has finished and.basically the command well it does it.builds the daily average world map for.latitudes between minus 55 and 60 of the.tropospheric vertical column of no.2 on.the 24th January 2019 with full quality.data the value of the troposphere.kenosha column number density validity.is set to 75 as it is recommended pixel.filter to remove clouds no ice cover.scenes errors and problematic which we.bought so that's why we said that value.and again this is information you can.find in the technical guides of the.product star available in the is website.centre 5p is a website okay so let's.have a look to the result once it has.been processed let me minimize this and.again we go to vision and heart import.got the path where we have saved the.output in this case it is here and we.are going to call this no.2 and let's.just use again don't you plot command to.visualize the output so here you can see.the results and you might be wondering.well it doesn't look that well there is.actually a lot of masked areas and of.course you have to take into account.that clouds are everywhere so of course.you will have some you would have to.mask them and this is also an issue when.doing a remote sensing I just want to.change a little bit the properties of.the color bar in this case I'm going to.change the values of the minimum and.we're not set it to zero and the maximum.I'm going to set it to zero point zero.zero zero 75 you can see the units as.being more per square meter.well with this product here which is.basically a world map of the troposphere.cannot to column on the specific date.which is the 24 January you can see that.okay we have some gaps in the data but.you see for example here.China we have an issue with an o2 we.have some high values in the north of.Italy a little bit of course if you have.a really knowledge about the no.2 no.2.distribution.this can help you interpret the data if.you go to the USA we can highlight some.cities etc but of course this is not.what we want it's not the end of our.analysis and now we are going to move to.the last step of this exercise where we.will build a not a daily average.tropospheric no.2 column but a monthly.average tropospheric column so how are.we going to do that well it's going to.be a similar procedure again the data.has been already processed in advance.and let me show you what we have a.starting point so what we have here in.this folder are the products or let's.say the world map that has been produced.for every single day during January 2019.so you see I have the world map of the.no.2 of the inter post vacant no 2.column for the 1st of January but also.the second the third and so on until the.end of the month and this products have.been produced using the same script that.I've shown you before to produce this.map here so basically we've done the.same but for all the days we can see.already the amount of data we are.dealing with when doing this kind of.applications so what we need now is to.kind of do an extra processing step to.those outputs in order to merge them.together and do let's say a cumulative.or an average product where we see the.summary of the detection of no.2.throughout the month so all average.daily maps of tropospheric vertical.column of no.2 for January 2019 have.been created following the same method.as before so to continue we just.right-click open terminal here and again.we will write the specific command that.we are given to you and I will explain.it as well and here it is so we just.copied this in the terminal and.we are saying first of all we call HAARP.Murch you know already because we are.going to concatenate several products we.call the AP parameter again with the.same list of operations to be applied to.the output product then we identify the.input products in this case using the.the naming that we've been given that.the outputs having give have been given.to in everyday and then we just set the.output path and output product so let's.run this.okay so the analysis is ready and now we.can have a look to this final result we.are producing so again we do the same.go to file harping port we navigate the.path of our output product in our case.it is here and now we just give it a.name in this case is going to be to.dobhan and we just plot the result as.before so the plot and o2 open yes and.here we have the result so before.starting to analyze it let's arrange a.little bit the visualization has before.in this case I'm going to change again.the min and Max values of the color.table from 0 and maximum travel 0.0003.to 75 and now you can see sorry I'm.wrong actually it's four years yes.exactly.not much better right and the last thing.I want to do is just put a title to the.plot so that we can identify what this.is so I'm gonna make it and two levels.in 20 so let's move this and now we can.explore a little bit our image so you.can see really the main difference with.the daily product is that by averaging.the producer of the month we remove all.those gaps since we are just taking.products from different times we are.combining them in a specific way that.it's not the let's say original spatial.resolution of sending a5:p but since we.are interested in the global picture so.I'm not interested in to focusing in.Spain and see for every single city.where is the hotspot I just want to see.the global trend I want to see that okay.in Europe there is an issue.mainly in the north of Italy and off of.Europe I go to for example you can see.the the Nile River and the Nile Delta as.a hot spot also well I mean you can just.see the image and make your own.conclusions you can see in India there's.also a big issue in China of course.nothing to add there you can see it so.in this way we can produce those world.maps where we can see in a very easy way.what's the distribution and the let's.say the what are the values of a no.2.emissions that we are dealing with and.you can imagine for policymakers this is.a great information in order to monitor.what's the status of the pollutants in a.specific city in a specific region at.the country level even at the global.level so let's move to the last.take-home messages I want to highlight.for you so with the new Sentinel.satellites the challenge in subtle.remote sensing is no longer data.availability but rather how to store and.process all the information in addition.to that it is necessary to explain how.the data can be used and support users.in their applications the route service.is here to solve those problems by.providing vector machines to store and.process the data by offering a dedicated.helpdesk supported by a team of mode.sensing experts to help you in your.projects with central data so before.moving to the Q&A session let me tell.you again that you can repeat this.exercise by your own if you want you can.practice and adapt the methodology to.your own application or study area for.that go to the u.s. copernicus portal.register as a root user and request a.vector machine during that process you.just need to specify the training code.which in this case it is admin 0 1 again.once you get the access to vector.machine you will receive a training kit.that contains a step-by-step guide as a.PDF document and all the out data.information.with use during the session so that's.all from my side thank you very much and.I hope to see you back in another.webinar the next time ciao.

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Form 5p FAQs

Note answers to questions about Form 5p . View the most useful topics and more.

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How can I fill out Google's intern host matching form to optimize my chances of receiving a match?

I was selected for a summer internship 2016. I tried to be very open while filling the preference form: I choose many products as my favorite products and I said I'm open about the team I want to join. I even was very open in the location and start date to get host matching interviews (I negotiated the start date in the interview until both me and my host were happy.) You could ask your recruiter to review your form (there are very cool and could help you a lot since they have a bigger experience). Do a search on the potential team. Before the interviews, try to find smart question that you are Continue Reading

Do military members have to pay any fee for leave or fiancee forms?

First off there are no fees for leaves or requests for leave in any branch of the United States military. Second there is no such thing as a fiancée form in the U.S. military. There is however a form for applying for a fiancée visa (K-1 Visa)that is available from the Immigration and Customs Service (Fiancé(e) Visas ) which would be processed by the U.S. State Department at a U.S. Consulate or Embassy overseas. However these fiancée visas are for foreigners wishing to enter the United States for the purpose of marriage and are valid for 90 days. They have nothing to do with the military and are Continue Reading

How do I fill out the form of DU CIC? I couldn't find the link to fill out the form.

Just register on the admission portal and during registration you will get an option for the entrance based course. Just register there. There is no separate form for DU CIC.

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It can also be that he used the wrong form and will still be deducting taxes as he should be. Using the wrong form and doing the right thing isnt exactly a federal offense

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Make it fast. Ask them as few questions as possible (don't collect unnecessary information) and pre-populate as many fields as possible. Don't ask offputting questions where the respondent might have to enter sensitive personal information. If some users see you collecting sensitive information, they might not be ready to share that with you yet based on what you are offering, and they will think twice about completing the form.

When do I have to learn how to fill out a W-2 form?

While I did not study physics this is something that relates to my field as well. One thing to remember is the scope of the field which you are talking about. With physics it might seem narrower than History or Archaeology but I suspect that when you boil it down it isn’t. It would be impossible to cover everything in a subject even going all the way through to gaining a doctorate. The answer you got and posted up is very accurate and extremely good advice. What a lot of it boils down to in education (especially nowadays) is not so much teaching specific facts but teaching themes and how to find Continue Reading

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