Keynote - Türkiye and Syria Earthquakes Mapping Response
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Textur-MappingComputervirusExogene VariableMapping <Computergraphik>MereologieVorlesung/Konferenz
00:30
Offene MengeSprachsyntheseProjektive EbeneKontextbezogenes SystemElementargeometrieSelbst organisierendes SystemTexteditorTextur-MappingApp <Programm>Elektronischer FingerabdruckMereologieVorlesung/Konferenz
01:05
Exogene VariableOpen SourceOffene MengeProjektive EbeneBitBesprechung/InterviewVorlesung/Konferenz
01:47
Projektive EbeneVorlesung/KonferenzBesprechung/Interview
02:10
KoordinatenDatenstrukturExogene VariableMapping <Computergraphik>Besprechung/InterviewVorlesung/Konferenz
02:34
ModemSechsTextur-MappingVorlesung/KonferenzBesprechung/Interview
02:57
GrößenordnungTextur-MappingVorlesung/KonferenzBesprechung/Interview
03:21
Rechter WinkelTextur-MappingCASE <Informatik>GeradePaarvergleichGemeinsamer SpeicherURLMereologieBesprechung/InterviewVorlesung/Konferenz
03:56
GeradeVorlesung/KonferenzBesprechung/InterviewComputeranimationDiagramm
04:28
Rhombus <Mathematik>DatenfeldKoordinatenEreignishorizontComputerspielFlächeninhaltZentrische StreckungBesprechung/InterviewVorlesung/Konferenz
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Rechter WinkelFamilie <Mathematik>ZahlenbereichVorlesung/Konferenz
05:32
ZahlenbereichComputerspielEreignishorizontExogene VariableTextur-MappingOffene MengeVorlesung/KonferenzBesprechung/Interview
06:17
Offene MengeTextur-MappingHilfesystemExogene VariableMapping <Computergraphik>Vorlesung/Konferenz
06:46
RuhmasseOffene MengeTextur-MappingExogene VariableMapping <Computergraphik>Besprechung/InterviewVorlesung/Konferenz
07:08
Rhombus <Mathematik>Singularität <Mathematik>FlächeninhaltProzess <Informatik>Offene MengeExogene VariableEreignishorizontVollständigkeitTextur-MappingMapping <Computergraphik>Elementargeometrie
07:30
Gebäude <Mathematik>GrößenordnungWort <Informatik>Vorlesung/KonferenzComputeranimation
08:06
Offene MengeTextur-MappingGebäude <Mathematik>Elementargeometrie
08:28
ElementargeometrieVollständigkeitEreignishorizontGebäude <Mathematik>Vorlesung/KonferenzBesprechung/Interview
08:54
ElementargeometrieVollständigkeitWiederherstellung <Informatik>Exogene VariableVorlesung/Konferenz
09:19
Exogene VariableWiederherstellung <Informatik>ElementargeometrieTextur-MappingKonfiguration <Informatik>Gebäude <Mathematik>Vorlesung/KonferenzBesprechung/Interview
09:45
Gebäude <Mathematik>WellenpaketExogene VariableTextur-MappingVorlesung/Konferenz
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StabTextur-MappingAutomatische HandlungsplanungWiederherstellung <Informatik>Besprechung/InterviewVorlesung/Konferenz
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Web SiteTextur-MappingMatchingVorlesung/Konferenz
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Zentrische StreckungAssoziativgesetzOrdnung <Mathematik>Textur-MappingTaskBesprechung/InterviewVorlesung/Konferenz
11:39
EreignishorizontMatchingWiederherstellung <Informatik>Exogene VariableVorlesung/Konferenz
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E-LearningInformationsmanagementFlächeninhaltGebäude <Mathematik>TaskEreignishorizontOpen SourceHilfesystemOffene MengeTextur-MappingVorlesung/Konferenz
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Gebäude <Mathematik>Rhombus <Mathematik>Textur-MappingGebäude <Mathematik>Selbst organisierendes SystemVorlesung/Konferenz
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Selbst organisierendes SystemWendepunktWeb SitePunktTextur-MappingRechter WinkelVorlesung/KonferenzBesprechung/Interview
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EreignishorizontTextur-MappingGebäude <Mathematik>FlächeninhaltSechsMultiplikationsoperatorVorlesung/Konferenz
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Gebäude <Mathematik>Textur-MappingEinfach zusammenhängender RaumInternetworkingFlächeninhaltApp <Programm>Exogene VariableVorlesung/KonferenzBesprechung/Interview
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Exogene VariableFlächeninhaltTextur-MappingVorlesung/Konferenz
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Rechter WinkelFlächeninhaltEreignishorizontTermGebäude <Mathematik>HilfesystemSatellitensystemDruckverlaufComputerspielVorlesung/Konferenz
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Textur-MappingBetrag <Mathematik>Gebäude <Mathematik>Vorlesung/Konferenz
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SatellitensystemGebäude <Mathematik>Vorlesung/Konferenz
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Gebäude <Mathematik>Textur-MappingVorlesung/KonferenzBesprechung/Interview
18:19
Gebäude <Mathematik>ZahlenbereichAdressraumMAPVorlesung/Konferenz
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Gebäude <Mathematik>SchnittmengeTextur-MappingVorlesung/Konferenz
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SchätzfunktionQuellcodeWellenpaketTextur-MappingVorlesung/KonferenzBesprechung/Interview
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Rhombus <Mathematik>GraphTextur-MappingGemeinsamer SpeicherWendepunktGebäude <Mathematik>Rechter WinkelATMEreignishorizontFlächeninhaltBesprechung/InterviewVorlesung/KonferenzComputeranimation
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Web SiteTaskGebäude <Mathematik>Textur-MappingFlächeninhaltWendepunktEreignishorizontVorlesung/KonferenzComputeranimation
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Textur-MappingFlächeninhaltTaskStörungstheorieOffene MengeGebäude <Mathematik>QuellcodeDatenverwaltungGraphDifferenteStreaming <Kommunikationstechnik>Rechter WinkelMapping <Computergraphik>DistributionenraumTextur-MappingZeitrichtungWeb SiteMereologieKollaboration <Informatik>Inverser LimesURLTexteditorDatenstrukturVorlesung/Konferenz
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EreignishorizontPunktwolkeSatellitensystemSichtenkonzeptOffene MengeService providerSnake <Bildverarbeitung>FlächeninhaltHilfesystemKoordinatenTextur-MappingGemeinsamer SpeicherProgrammierungElementargeometrieRechter WinkelVorlesung/KonferenzBesprechung/Interview
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Rhombus <Mathematik>DatenfeldComputeranimationVorlesung/KonferenzBesprechung/Interview
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Gebäude <Mathematik>DatenfeldMAPComputeranimationBesprechung/InterviewVorlesung/Konferenz
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TelekommunikationKoordinatenExogene VariableProjektive EbeneDatenverwaltungComputeranimation
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Regulärer Ausdruck <Textverarbeitung>BetragsflächeGerichtete MengeKoordinatenWellenpaketVollständiger VerbandTextur-MappingComputeranimationVorlesung/KonferenzBesprechung/Interview
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Rhombus <Mathematik>Textur-MappingGebäude <Mathematik>Lie-GruppeVorlesung/Konferenz
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EreignishorizontElementargeometrieSatellitensystemRückkopplungGemeinsamer SpeicherVorlesung/Konferenz
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FlächeninhaltStellenringRuhmasseMAPApp <Programm>Office-PaketValiditätKontextbezogenes SystemProjektive EbeneVorlesung/Konferenz
27:07
Projektive EbeneExogene VariableMapping <Computergraphik>Automatische HandlungsplanungVorlesung/KonferenzBesprechung/Interview
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Güte der AnpassungArithmetisches MittelProjektive EbeneZahlenbereichStreaming <Kommunikationstechnik>Gebäude <Mathematik>ComputeranimationVorlesung/Konferenz
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Wiederherstellung <Informatik>MomentenproblemExogene VariableVorlesung/Konferenz
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Vorlesung/KonferenzBesprechung/InterviewJSONXMLUML
Transkript: Englisch(automatisch erzeugt)
00:10
Hello everyone. Hello. That's beautiful sunny day. Thanks for staying that long.
00:21
It was long conference day but I'm going to talk about Turkey and Syria mapping response today. So I'm Saeed. I'm part of OpenStreetMap community Turkey. I'm part of Yarchizaner which is the organization raised awareness of
00:44
open data, OpenStreetMap in Turkey. I'm a geometric engineer passionate OpenStreetMap editor. I've been contributing project more than 10 years and I'm so happy to be here and giving this keynote speech. I didn't sign up for this but I'm so
01:04
happy that I'm doing it. Thank you and thank you to all for helping us to save lives with the open data and open source tools after disaster in Turkey
01:23
and Syria. I also want to thank all the contributors and from Yarchizaner who helped me as a team that we response disaster in Turkey. I just want to ask if my teammates can just stand up and I just want to give them shout out
01:45
and those guys can you stand a little bit more. This project wouldn't be
02:05
possible without those people. They were spending like 15 hours every day for a month for this mapping response and with the coordination with the mapping with the data structure with the coordination appreciate it. Thank you
02:22
so much. I just want to share. Yes please. Thank you. Thank you so much. Alright so this is the map of Turkey. I'm not sure if you are familiar with
02:45
the Turkey and this is the epicenter of the earthquake. So on 6th of February 3 a.m. Turkey and Syria hit one of the most powerful earthquake in their
03:03
history. It was 7.8 magnitudes and it affects 13 cities in Turkey, 60s in Syria and more than 13 million people were impacted from this earthquakes. Alright the map of Turkey will may not sense maybe to you where
03:30
you are from I don't know. Last week I was in US and they asked me where are you from I said Turkey what is it is it what is that so they have no idea. In case I just share some map here so you can see the fault line
03:47
where the epicenter happened. This is the east part of Turkey and then you can see also Syrian border in comparison to other locations and then so basically the fault line was that long from Manchester to London and
04:03
almost all the country from the South Korea does it make sense that was destructive that was difficult to coordinate and that was one of the reason that we lost so many lives and we have so many injured people.
04:26
Yeah distraction was real and that's the only picture which we can see. Unfortunately I couldn't be there physically and then supporting the coordination on the field but pictures were horrendous. Cities were flattened
04:46
it was scary and all of the people whom I know they went to area they got a trauma they couldn't adapt the social life they questioned their lives. That was the scale of the event that's only one aerial imagery but imagine
05:05
that 13 cities pretty much like completely flattened. Alright unfortunately we lost more than 50,000 people after this disaster in
05:25
Turkey and Syria. Those are not only numbers those are lives those are families each of those numbers are affecting like so many lives and more
05:42
than 120 people need to continue their life with the injuries and disabilities. 5.6 million were displaced and they cannot really live anymore at their houses either they're relocated to elsewhere or they're
06:02
staying in the temporary houses. Cool today we are going to talk about how we response this event to help saving lives with open map data and open tools.
06:24
By the way just want to give full disclosure none of us has experience to response disaster. In that sense HUD just play important role to coordinate and support our mapping response. We had the passion we had a motivation to
06:44
help people of Turkey people of Syria but we didn't have a background of like disaster response. Massive thanks to humanitarian open street map team and all the disaster responders and all the community again. The overall goal of
07:09
our mapping response to complete open job data infrastructure of the event area. As I mentioned that event area was huge and unfortunately the event
07:25
area wasn't mapped at all. So you are seeing map of Kahraman Marash where is the one of the epicenter. Basically there was not only one earthquake there was consecutive of them one of them was like 7.8 and
07:41
7.5 magnitudes. It was an aftershock it was two massive earthquakes and this city has 1.1 million people and as you can see not this one this is after we mapped. So they're like hundreds of buildings which represent all the 1.3
08:05
million people in this city. This Kahraman Marash Kahraman Marash wasn't alone. There were like 13 cities in Turkey and then six more in Syria. Here you can see after all the geo infrastructure open map data
08:24
infrastructure was completed including buildings and missing roads. Our overall goal to complete geo data infrastructure before and after the end. If we would have ready for this disaster we would have already this
08:44
buildings mapped and missing roads were wrapped but unfortunately it wasn't. When you are responding emergency it's so hard to prioritize and yeah we're gonna talk about it in the challenges. Alright why do we need geo
09:06
data? Any thoughts? Why do we need geo data? Without accurate and complete geo data planning, rescue efforts, humanitarian response, recovery response
09:24
and then understanding the damage are almost impossible. You need geo data you need map to start with. What if you don't have a map? Yeah you have no option you have to map because rescue teams were looking for a building data
09:50
rescue teams were looking for a collapse building data because cities were completely flattened. They don't know where to start with. They don't know how to plan it. That's why we need a map. Human
10:06
training efforts, humanitarian responders wanted to help but they don't know where to start, which city to start, where to locate, humanitarian help, where to send their stuff. They needed a map so we need to map. Recovery planning was
10:30
critical so more than 13 million people were impacted. I'm not saying that they lost their lives but they were impacted. They didn't have houses
10:42
they need shelter, they need food and then so they need temporary place to stay and then what are the best places to build a temporary sites? You need map to understand where to locate those temporary sites. Also to
11:06
document the damage of the destructive earthquakes you'd also map to associate where you have the most damage and then what's the scale of the damage. In order to structure all of those requirement we needed the map so
11:27
we have to map. Alright, the task was so big we need to create a geodata
11:42
infrastructure before and after the event and here now I'm going to talk about what we did. We did four things to basically cover all the requirement of rescue teams, humanitarian responders, recovery requirements and then to
12:06
basically understand the size of damage. We did four things. We mapped unmapped buildings and missing roads in the event area. I just want to remind
12:21
the size of the area which was big task. We wouldn't make it without help of global community of open street map and open source and then we create collapse building maps because rescue teams were looking for a
12:44
collapse maps, collapse buildings where to dedicate, where to allocate rescue efforts. When it's emergent you have to map, you to find a way to map collapsed buildings. Researchers and then humanitarian organizations were trying
13:06
to understand the damage and size of the damage to basically help all the people who are impacted from the disaster and earthquake and then we
13:21
built damage assessment map for the researchers for the humanitarian organizations and we mapped temporary sites and POIs to basically understand what infrastructure were heavily damaged and impacted. Can you imagine like
13:41
you don't have pharmacies and then you don't know like how many of them were survived and what are the like wash points where people need to be relocated so we need to map temporary sites and POIs. Sounds like so many
14:00
work, right? It wasn't easy. Okay, here you are watching all the map buildings in the event area so here all the way from Syria up to Central
14:23
East Turkey. More than 2.5 millions were mapped in a very short time. Earthquakes happen on 6th of February and after like 10-15 days all the infrastructure were ready and we prioritize areas where there is a
14:45
destruction in the downtowns of Hatay, Kahraman, Marash, Adiaman.
15:09
All right, buildings were essential but there were more essential map features that we need to map. So we mapped more than 48,000 kilometer unmapped roads to
15:21
help humanitarian efforts to basically get to the area where most of the navigation app will not operate due to lack of internet and connectivity and I don't know any other disaster response where more than 9,000 volunteers were
15:46
activated. I hope we will not activate those amount of volunteers once again for any area but we appreciate their effort. All right, we created open map
16:05
data infrastructure for the event area in terms of buildings and missing roads so those buildings were and roads were there now but this is only way to starting. We need to deliver data to rescue teams to basically go to
16:26
collapse building and help people to get under rubble. Can you imagine the pressure? People's lives are depending on you just tracing buildings, checking
16:41
like drone imagery or satellite imagery visually and then just digitizing it. Have you ever think that contributing OSM would be that meaningful? Absolutely, absolutely. Here you are seeing map of Hatay and those
17:04
collapsed buildings were digitized from drone imagery. Guess what? We didn't have access to satellite imagery immediately so we need to acquire drone imagery as well. Another city here, Noorda, another town, which is fully
17:25
flattened, that was one of the city like highly impacted. So the second deliverable we basically delivered the community and people of Turkey and
17:43
then people who are impacted from the earthquake was collapse building map. That save lives. We'll see some more, we will see how data has been used. Alright I'll
18:01
keep going with damage assessment map. Collaborating with government wasn't easy and then open data is not something everyone knows in Turkey. That was
18:26
on their damage level but that was only addresses. It doesn't give you any insight. You know number of collapsed buildings? 10,000, 10,000. Does anyone
18:43
remember how many people were lost their lives only in Turkey? So that number I saw, I present that was including like Turkey and Syria. So this data set was created from governmental data set. 10,000 collapsed buildings.
19:05
That's what we know and this map was shared with everyone publicly. More than 10,000 people view it and 65 researcher use this data to understand
19:22
and estimate the damage in Turkey and this data was also used as a training data source for some AI damage estimation. Alright we just talked about damage assessment map. SafeGraph is a company was generous to share their
19:48
Turkey POI data with us and then by complying the OSM map editing guideline we mapped all the pharmacies in the event area, ATMs, bakeries, supermarkets.
20:04
Those are really essential and then you can have an idea of like what's the impact and what and then you can overlap this data with collapsed buildings and then get a bunch of insights. On the right hand side you are
20:24
saying just park. That was park but now it's home. It's home for thousands of people and one of our tasks was also mapping temporary sites. So we did
20:46
four things. We mapped buildings and un-mapped roads. We mapped collapsed buildings. We built damage assessment map and make it available for community
21:00
and researchers and then we mapped POIs and then temporary sites in the event area. Alright how we did it? That wasn't easy. So we divide, we structure our work into work streams. You will see like remote mapping was really
21:24
important part otherwise we wouldn't make it possible with limited OSM editors and I will talk about all the work streams in details. So for each of the work we use different data sources. For mapping un-mapped buildings and
21:42
roads we use meta-generated ML roads and also Microsoft generated buildings as a data resource and then we use HAT tasking manager for coordinating collaborative mapping effort and all data was available on SM. Whoever you are
22:01
you can just access. Then for collapse building we collaborate with Research Institute in Istanbul Technical University and then Copernicus Emergency Management Service and Mappler imagery for validating the collapsed buildings location and use Maprolet to organize our tasking. For mapping
22:22
temporary sites we use Open Aerial Map and then SafeGraph and then task for distribute Maprolet and those editing tools were used. Alright we talked about imagery. Accessing imagery wasn't easy. Three days after
22:44
the event we had a cloud coverage acquiring satellite imagery with clear view wasn't possible. Drone imagery was lifesaver. Drone imagery saved lives. For imagery coordination our superstar like Batwan just jumped in and reached
23:08
out all the satellite imagery providers and activate their open data program and then shared data with us and then helping geo collect drone imagery in the area and all the imagery were consolidated in Open Aerial
23:26
Map and then we use Contours MOSAIKING tool to make this data available on OpenStreetMap. Alright so you are seeing on the right side UN's disaster chartered satellite imagery request. Only a handful of amount of those imagery
23:45
were available for community with Creative Commons license. That's something we really need to address. When people are under rubble I don't know. So
24:06
we had also volunteers and partners on the field. They were collecting street level imagery for validating collapsed buildings as well as they were using cobalt toolbooks for collecting data and then validating the collapsed buildings. We wouldn't make this possible without global community
24:29
activation and then we worked with global community across the world and then all of the contribution made this possible. Thank you so much and then Lale from MSF coordinated global community activation.
24:44
International coordination in the disaster response you need to use tools which are accessible for everyone. You cannot use fancy project management tools or communication tools. You need to be really simple to make this accessible for everyone. And international coordination was critical.
25:04
Thank you all the partners who help us to make this possible. We also run daily coordination meetings. We have a stand-up every morning. We host daily mapathons every evening and then we were growing Turkish community
25:22
and training because we need mappers. Alright this is the map which was used by the rescue team to save lives and all the brown buildings you are seeing here those are coming from OSM. So I'll quickly move to challenges.
25:54
Accessing geo data was one of the biggest challenge for us. We didn't have geo data available so we need to map. I already addressed this
26:04
post event satellite imagery issue. This is open to discuss. I'm happy to give feedback further and licensing incompatibility with ODBL. So you have an imagery you can see it but you cannot share it with the community. That
26:21
was that was difficult. Prioritizing the scope of emergency was hard because the size of area was so big and we need to be brutal to prioritize the areas. Data validation was beyond our scope. Massive thanks to the
26:41
OpenStreetMap team for supporting us with the data validation as well. And then there was almost no awareness around OpenStreetMap at governmental level or local NGO level. And we were trying to explain governmental officers what is OpenStreetMap. That was extra work for
27:04
us. Alright lesson learned. Now we are running preparedness projects for being ready for any kind of disaster strikes. And then we are working on emergency mapping response plan. And then we are identifying key stakeholders where this
27:25
data might be useful for future disasters. And we want to show power of OSM to everyone which we learn after this disaster. Yeah we are working on like trying to find a way to request emergency drone imagery. Either create
27:44
our own team or teaming up with drone communities. Yeah you need really talented and advanced mapper when there is a disaster. They need to own work streams and projects. Otherwise high number of volunteers will not mean good
28:02
amount of good quality of data. So we want to invest building advanced mappers community. And then that was really hard to remember. We need to pause and rest. We are a human and then we need to avoid burnouts and
28:21
take a moment, take a walk, take a run that we could sustain this emergency and recovery response longer and sustainable. Thank you so much. I appreciate it. I hope that was helpful.