Sign New York Banking Emergency Contact Form Fast

Industry sign banking new york emergency contact form fast

well good morning everyone from sunny southern california we have folks participating today on this webinar from all around the world and it's really nice to be with all of you during this strange time in our history i hope you all have masks and you're wearing them in public and hopefully we can bring this covered pandemic to an end today our focus is going to be on how to turn two-dimensional data into three-dimensional data for the psap and our speakers are going to be john brosowski who's the vice president of innovations at geocom john is a long time friend of ours and of esri they are a strategic partner to us and we're so grateful for the work that they do and uh john for participating with us today thanks a lot for being here and uh phil milkey will also be speaking phil is our 3d web experience product manager before he came to esri he was with the city of redlands california and served in 911 and as the department's i.t director we have a poll question that we would like to put in front of you could you take a moment and answer this poll does your jurisdiction currently have 3d data in preparation for next gen 9-1-1 requirements so we have the results in and and 77 percent of you do not have a 3-d data strategy in place so this is really exciting we'll be able to hopefully help each of you get some ideas on some new things uh for the 16 percent who are working on it hopefully this will support your efforts and give you some additional ideas and uh and together we might be able to solve this problem because it truly is a global problem let me now introduce john frasowski thanks mike so first of all i thought i'd uh start out with a question why do we need 3d for 911 at all so i thought it'd be useful to to start out by looking at some trends around how people actually communicate with 9-1-1 and from where and what kinds of problems this introduces so today approximately eighty percent of all 911 calls originate from mobile phones so in some cases it's some jurisdictions it's even over 80 percent um also a a interesting statistic that you may not have heard the average u.s citizen according to a government study spends 80 percent of their life indoors i thought that was an amazing statistic when i first heard it it that was from that study was done a few years ago so actually these days it may be a little bit a little bit higher than 80 if you think about it so it's just interesting because uh lots of us are getting rid of our old wireline landline telephone services and just relying on our mobile phones for uh our primary method for communications and the problem with that is that historically wireless nine-on-one caller location so the ability for the 911 system to locate calls from mobile phones it hasn't worked very well indoors inside of buildings so and why is that a problem well as an example uh earlier this year a rensselaer polytechnic institute grad student in troy new york you may have heard the story the student had made a garbled 911 call from a cell phone but couldn't communicate his exact location verbally before hanging up well police and firefighters searched the general area for about 45 minutes but they were unable to locate that collar uh several hours later this this student's roommate came home and and uh uh found him dead in his room he had died from severe influenza symptoms tragically so to be clear while the nation's 911 system really has been a success for many years including the life-saving ability to locate 911 calls from mobile phones it was implemented in the early 2000s uh one place that that location tracking technology for mobile phones during nine or more calls doesn't work as well is inside of buildings and that's because indoors is commonly a gps denied environment so you know radio signal from gps beacons on nav star satellites in space that radio signal can be blocked by rooftops and and building materials so it's hard for your the gps ship and in your cell phone to get a good fix inside of a building additionally the um other types of location technology that 911 uses like cellular radio signal location technology those types of locations are often uh coarse-grained which means they may be accurate to within 100 meters or 300 meters which is a fantastic technology for locating callers but if you think about it if you're inside of a building you know 100 meters or 300 meters that could put you inside of the building or outside of the building in the parking lot or across the street in a different building so in the indoor scenario that that type of location can be quite challenging so thankfully um the industry and the the 911 industry is well aware of this and in particular the fcc has created new rules that are requiring wireless carriers to implement technology uh that can identify indoor positions for wireless 911 calls including indoors and for the first time ever these new standards being in rules that are being put into place by the fcc also include a three-dimensional and elevation uh component so in in addition to what the fcc is doing with the rules for wireless carriers there's additional technology that's emerging in the world today that's just getting better and better at pinpointing the location of mobile phones and a primary example of that is uh what we call today device-based hybrid location or consumer location where location services and a mobile phone's uh operating system android or ios can combine information from uh sensors in the phone like gps but also the wi-fi radio in the phone or ble sensors along with uh data that has been pocket sourced from 200 million other mobile phones that are out there roaming around the country and all of the all of that sort of combines to create a device hybrid location that in many cases can be pretty good inside of buildings additionally gps itself is is going to get better a couple of weeks ago maybe you heard spacex launched a gps three satellite that's the jeep that's the next generation of gps sats in the navstar constellation that'll among other things enable better signal acquisition and positional technology also we're beginning to see the emergence of metropolitan gps beacon systems like the nexnav service where the gps radio beacons are mounted terrestrially on towers and rooftops of buildings instead of on space vehicles and that enables a better uh in building performance because the gps beacon signals have at place position terrestrial have better building penetrating capabilities and also the geometry is a little bit different for uh calculating elevation computations so and in addition to that uh we're also beginning to see uh really an explosion of indoor positioning systems uh there's there's ble beacon bluetooth low energy beacon based uh positioning systems wi-fi based positioning systems uh geo-magnetic positioning systems there's lighting based positioning systems that make use of smart led lighting systems that are are beginning to be installed in buildings and that's just to name a few so it's um um really uh an exciting time in uh mobile phone positioning and when you combine that uh with uh 9-1-1 we really have a new opportunity to pinpoint 911 caller positions in in three dimensions like we've never had uh before in the past really all of those technologies combine into um what i like to call the the uh the the perfect coordinate that's represented by this blue dot on this slide it may it's a blue dot that's that's perfectly positioned in space latitude longitude and height above ellipsoid but as you can see without any supporting map information it's just a blue dot on a blank whiteboard it really isn't very useful um you can like think a little bit more about what these uh raw positioning uh measurements are and what they mean i mean we can uh talk about what latitude and longitude are and we can talk about what height above ellipsoid means and what the ellipsoid is but you know at the end of the day uh raw geodetic measurement is just a numerical measurement and isn't really all that helpful to uh human users without a corresponding map to put it into uh context and make it actionable in fact um last year when the fcc did some additional rulemaking um around the the uh the 3d the elevation component uh requirement for um uh wireless carriers for 911. one thing that they pointed out was that the the rules are going to require the carriers to provide uh this sort of raw geodetic measurement but uh 9-1-1 psaps and emergency call centers and emergency responders are going to need to implement systems and technology that can convert these raw geodetic measurements into actionable information that can be used to actually reduce emergency response times so a numerical highly accurate positional measurement is one thing but making it actionable is another thing and that's gonna take uh that's gonna take some work and so some examples of this um we certainly believe that the thing that that makes raw uh geodetic measurements actionable are maps including uh three-dimensional maps and and uh indoor maps um what the the pictures that you're looking at on the screen are are from uh some r d uh that that geocomm uh did with uh college of science and engineering uh at a uh university in minnesota san cloud state university uh we started looking at this about four years ago when the fcc started really coming out with these uh these new rules and um our goal is really to see what it would take to build 3d maps and to track mobile phones inside 3d maps and also to learn how uh 9-1-1 psaps and eccs and emergency responders would interact with 3-d map information in order to locate emergencies quicker not surprisingly in the real world operational tests that we did having a 3d map pinpointing the the caller on the right floor of the right building inside of a room uh decreased the time that it took emergency responders to to find the caller so some of the the uh technology that geocom used to to build out these systems in these tests were esri technologies so we used uh tools like arcgis desktop and arcgis pro to author 3d maps we use the arcgis pro sdk to create a 3d dispatch mapping solution that we pretty quickly after that migrated over into the esri 4.x javascript api which now has pretty fantastic 3d visualization capabilities now we use tools like esri drone to map to quickly capture 3d surfaces outdoors and then we used arcgis enterprise and portal and online to make those 3d map views well to publish them and distribute them across the internet we used tools like geo event server for arcgis to track calls and uh uh assets uh moving around inside of those three-dimensional views so actually this uh the screen that you see on the screenshot that you see on the the left side of the screen here that's a high school this is just a great example because we were able to take a a consumer grade drone like you just buy it at best buy or you know a hobby shop really hobbyist grade uh drone we were able to to fly over a high school in this case and then using drone to map create a 3d map that could be published to arcgis online really in no time this whole process took just a couple of hours and then the resulting map display this is just a web map uh web 3d web scene uh in the scene viewer in arcgis online with no special custom programming or anything like that no custom software development just just tools entry tools out of the box you can see how now we we can measure in three dimensions we could see what uh you know how tall of a ladder you'd need to bring to get through a a window or get to the second floor and so on just really fantastic tools um some of those uh sort of earlier prototypical exercises really led to um a full-scale operational 3d and indoor mapping deployment that we did for super bowl 52 in this case we built a very highly detailed 3d and indoor map of u.s bank stadium and a 3d map of minneapolis and then inside that 3d and indoor map of u.s bank stadium we connected it to a variety of sensor feeds so several thousand cameras uh hundreds inside the stadium and and uh even more outside of the stadium we connected it up to multiple incident management systems computer-aided dispatch systems um access control systems we were tracking the location of uh uh emergency responders indoors uh using ble beacon uh proximity there were a couple of thousand ble beacons deployed throughout the stadium so just really a great uh example of 3d and indoor mapping connected up to real-time feeds from iot sensors all enabled by esri mapping technology so and that was used as a common operating picture by over 80 to 80 different public safety agencies during that particular event and so you know what do we what do we learn from that well we we learned that that absolutely 3d and indoor maps are very useful tactically for emergency response situations especially for for complex indoor geographies but we also learned that scalability is going to be a challenge for 9-1-1 and so as we think about how to scale this technology we're we're really looking at economic feasibility but also sustainability so building these types of maps it's not a it's not a a one-time a job it's an ongoing process you have to keep maps up to date over time and buildings change new buildings are constructed the old buildings are torn down or remodeled or enhanced and modified so it is really an ongoing effort um and it also as we look at scalability um we can kind of think about simpler ways to do 3d mapping so one on the one end of the spectrum is like we did for u.s bank stadium where we did a really highly accurate 3d model you know we had 3d bim files cad drawings from the architects that that designed the stadium and it really resulted in a photo realistic 3d representation the digital twin of the stadium but on the other hand like we see on the screen here um simpler approaches uh are just like taking a two-dimensional building footprint polygons and extruding them into three dimensions and so in this case we took um some two-dimensional building footprints actually created by microsoft and in this case it's actually hosted in arcgis online is vector tiles esri created vector tiles of that national building footprint database you can extrude them into three dimensions and that gives you these sort of volumetric representations of buildings and you can see that if you were to position a 9-1-1 call within one of these three-dimensional uh building shells that gives you uh tactical information you can tell if a caller is on the ground level or if they're there maybe uh you know up towards the the the fifth level or if it's a 20-story building it's it definitely can give you uh actionable information to help you narrow down where uh a caller is so um uh at this point i'd like to um um pass it over to phil is going to take a deeper dive into the esri technologies that make these kinds of uh 911 tactical mapping applications possible and really also how to take it to the next level uh in terms of making 3d position measurements actionable for reducing response times but real quick before i pass it over i just wanted to quickly highlight an announcement that jack dangerman made during the uc plenary session last week about a collaboration between esri geocom and a company called rapid sos to bring advanced mapping technologies to 911 psaps across the country including indoor mapping now you can read about it in the esri newsroom and there's also an esri landing page on the topic where you can sign up for updates so you can sort of stay in the know on this topic but this is really all about taking those device-based hybrid locations that rapid sos has found a way to deliver for 9-1-1 calls to 9-1-1 psaps and to integrate it with advanced esri mapping that it can include 3d maps and indoor maps as well and so with that i'm gonna pass it over to uh phillip all right thank you john so uh my my role at esri i'm the product manager for scene viewer and 3d experiences on the web and i have been really happy to see the advancements in technology that we've made just over the last couple of years and it really puts 3d gis as a fully supported aspect of the arcgis platform i know there's a lot of a lot of our attendees that have been utilizing gis as either a part of their dispatch systems or crime analysis programs and uh you know i the the message here that i'd like to relay first is 3d gis is ultimately gis it's uh something that's that is fully supported that's uh you can utilize arcgis online and enterprise for a variety of different solutions and experiences to be able to maintain that data just like you would uh you know your street data or addressing systems geocoding systems and it is uh something that really leads towards some beautiful experiences towards the end as mike had mentioned earlier i i previously worked in the redlands police department and one of my roles was implementing a dispatch system and at the time 3d gis wasn't accessible over the web but there were a lot of different use cases and scenarios that i'll show you that that i think really could be better supported and give both dispatchers and first responders a better a better picture as they're approaching uh response and just it's it's about preparedness and in this case understanding what are the uh the scenarios that are necessary in order to create the data uh that you can produce your own 3d viewer and be prepared for next gen 9-1-1 requirements but before i do that one of the things i'd like to show you is a bit of the art of the possible here the reasons why ultimately having having 3d as a component for understanding the location of a call really comes into play here so uh what i'd like to show you first is uh this is a uh this is x y and z data along with uncertainty for calls as they're coming into san diego you know this is a simulation that we have here but there's compo components here that i think are worth understanding especially as we're approaching uh location uncertainty and this is how we've symbolized a lot of this data so that we can see uh location uncertainty when it comes to horizontal and vertical if it's small you have a smaller area of of certainty and if it's a bit larger depending on the gps signal um or or any other kind of location uh we can identify uncertainty and visualize it here with large horizontal or large vertical uncertainty knowing this information as it's coming in from a psat potentially gives us a better perspective in terms of being able to understand where those calls are actually coming from so here's here's an example here seeing uh seeing this call for chest pain and also understanding the overall uh the uncertainty this is large horizontal uncertainty but a smaller vertical uncertainty and it helps to give you a perspective as far as where uh some of these these calls are within building um on in the background here we have uh uh higher detailed buildings but we don't have the full picture inside and we'll also show some strategies for being able to get to that but this helps to give that you know that perspective on the value that 3d can play when it comes to to both next gen 911 requirements and this is something that falls on local jurisdictions for uh being able to maintain this authoritative data that provides context for these calls as they're coming in so a lot of major cities uh san diego here being one uh have already uh um have already committed to a 3d program um you can see like boston new york san francisco the central gis department for these cities have already uh developed and maintained a a 3d program in which they're building out various buildings in various levels of detail and sharing those with with first responders uh public safety organizations in order to understand really what's the best uh the best method that they can approach as they're uh understanding new new uh new capabilities and how to place some of these calls within 3d so um just to give you a sense as far as what that what this process looks like uh you know this is a fairly technical diagram but i'll i'll make it pretty quick emergency caller uh we'll call in and the psap will will receive and compute at both an x and y location but also a z and pass that through a relay client into at this point this is something that is uh maintained within a dispatch organization so that here we're able to use geo event server to enrich that call information with building information building address and floor level and then pass that enriched data onto enterprise which can hold all of the capabilities uh the 3d 3d maps geocoding routing pre-planning solutions avl feeds potentially other city data that could be contextually relevant and all as you know this is using the javascript 4x api uh dispatch systems can develop on top of this and bring 3d maps like you're used to seeing 2d maps into the both the dispatcher view and mdt's we're able to stream uh these scenes uh to mobile clients and we've reduced the the bandwidth that's necessary in order to be able to uh to visualize uh 3d information and we also have mechanisms in place so that 3d data can actually be can be cached and stored on mobile devices so that really at this point within mdt uh all of that 3d data can be cached there and you're you're ultimately just passing on the the location of those calls as they're happening so uh this is the neat i think of the presentation is that understanding those strategies for creating 3d building data for these kinds of workflows here and uh what's important to recognize about this is is a level of detail so uh the the the typical scenario here is lod lod zero where uh dispatchers and uh public safety organizations have found the value of building footprint data and we ultimately just want to be able to understand how to take this into next next level of mapping so uh first i'll show you about extruding that data and ways in which you're able to do that either through arcgis pro or scene viewer uh and then from there we have some solutions the 3d local base map solution which will cr use lidar and the footprint data in order to create these uh appropriate roof forms your buildings look like buildings instead of uh well jello cubes and then from there uh we can use and add texture and arcgis pro to these buildings and uh also you know to take this on further to the to the next level we can talk about some interior modeling so that we can both consume revit as a data source for newer buildings where architects have designed those buildings in revit and take those architectural drawings and place them within a scene view so that we're able to have that full interior context of those buildings so uh here's a just a simple workflow in scene viewer if you have the height information in your footprints you can actually extrude them directly in scene viewer that same data that's accessible in arcgis online or enterprise that you're uh your gis folks have probably published and made available either as base maps or other data for geocoding given a height value really all it takes is this process of using 3d extrusion styling in orbit in order to create uh this lod-1 view of that data and this will do that on the fly so it'll it'll create those extrusions and allow you to be able to immediately start creating a 3d view of your city in this case this is we're looking at vancouver island here uh really interesting uh immediate capability that you already have accessible to you and this is a very low uh investment in your time and energy to be able to create this kind of view again this can be done in scene viewer as i've shown or it can also be extruded in arcgis pro and shared as scene layers for faster performance now next uh this is uh an example or a solution that we've uh created and have honed on for the past couple of years and lidar is actually very prevalent in a lot of organizations cities will make the investment for understanding you know watershed modeling building more accurate ground models understanding changes in vegetation over time and where there might be risks to mitigate linar has a great place in uh in your tool set for being able to then create a 3d city like you're seeing here and from that this solution will actually work through a a process that ultimately helps you to derive more value out of your lidar it'll help to classify that lidar so it can tell the difference you see all of these points of information that are here in this animated graphic all of these these points of information are lidar scan data so that an airplane flying over the city will capture this data and it's very accurate to um frequently to centimeter accuracy and it will give you that impression that looks you know it's okay it's useful as these individual points but the the ultimate value here is to then take these points and actually uh extract features from them and that's ultimately what this solution will do where you can build bridges buildings floors and elevation and there's also solutions for power lines to create uh vegetation and onto underground pipes which don't quite apply here so you can visualize information you can improve your planning process you can give context for your your visualization in this case context of where those emergency calls are coming in and it's also useful for flooding analysis too uh you know that a flood analysis is a 3d problem and um so what i'd like to do is to just show you this within a story map here we've uh uh we've got one that's accessible that can you can go into a little bit more detail about how this uh ultimately works and a part of this story map is is you know understanding that we've got a lot of changes that are occurring in our are built in natural environment and there's uh that this context of understanding what's happening and leveraging this lidar in order to create this uh 3d base map so you know in order to build these 3d cities we actually start from the ground up so part of the lidar classification process is that you know understanding what each of these points are and those points of lidar data that are are showing here you've got brown that's been classified as ground green has been classified as vegetation and red have been classified as buildings this classification process is automated and it's something that you can do with very little knowledge on the subject and it's you can immediately get started by first classifying that data and creating a more accurate ground model which really matters in this kind of workflow here once you've got that accurate ground model then you can use those red those red lidar points that have been classified as buildings and your footprint data in order to extract uh realistic looking buildings that have an appropriate geometry that really match more about what's happening in uh with with those buildings this is taking that to the next level of detail and uh the this uh really enables you to then work through this extraction uh develop those building footprints and then from there uh and it enables you to uh knowing the heights of those floors uh can also give you a stratified um sliced building where each of the floor levels are represented as accurately as you're aware of with that data and then that can give you the information to understand which level of the building the call is coming from as i mentioned before with geo enrichment pro the process through geo event server just having the information of knowing they're in a certain section of a building can save lives and it can save time and so uh you know we can we can work through this extraction process to create these buildings but then also break them up into into these buildings as well as uh as well as trees and we can visualize trees and bridges and other infrastructure extract that data and be able to really create some very realistic looking scenes that help to give the perspective of really understanding the context for where some of these emergency calls are coming from this is just an example of the uh what that solution can create so that each one of these levels are represented here along with attribute information that can be passed on to that uh to that emergency call to help to give that that kind of context when you especially need it so this 3d 3d basemap solution is accessible online it is free it's a task-based workflow in arcgis pro which ultimately makes it much easier to follow step by step the processes that are necessary in order to extract information from lidar and create a beautiful 3d city this can now be immediately implemented in online where you'll find the application tab uh you know at the top of your of arcgis online uh and it's currently this is immediately accessible and online and it will be an enterprise so that you're able to search for those solutions you'll find 3d base map solutions and just click get it now agree again this is free and it is pro based so that you know if you have a a technician that's able to just operate arcgis pro and step through a series of tasks this is a great way to really extend and leverage lidar to create this kind of data so the next level of detail here is uh more about actually getting inside the building and you know this is a challenge it can be a challenge but it doesn't necessarily have to be especially with newer buildings so with uh our partnership with autodesk we are able to read revit as a data source now revit is the program that architects use to in to architect and design a a building and it's ultimately that system of record that is used to pass to construction agencies to uh chief buyoff for a plan and uh it's a great source of information that is sometimes a bit large and unwieldy to just pass around and make decisions with so now we have the ability to read revit as a data source in arcgis pro and publish what's called a building scene layer and a building scene layer is the mechanism in scene viewer that we can then stream this uh rather large uh set of data very quickly in order to visualize and to see use it as context but also to have a system of record for where storage of some things are things like knox boxes or fire alarms all of those things that are are uh important contextually for first responders just an example of uh what this uh this ultimately looks like and how it performs here in scene viewer um you know i think the smoothness doesn't quite uh translate well over go to meeting but what you're seeing here is uh you're seeing this building scene layer in which we have all of this information from from that architectural design that's immediately uh visible and useful as a part of the overall base map we can stream large we can store and stream large volumes of information uh through scene viewer and really the the mechanism i think that's important here is to understand the performance this is performance enough to be able to bring in your entire city of uh 3d 3d buildings as it was designed uh or as as captured by the 3d local government base map solution and then from here this also gives that perspective on a greater volume of detail for those uh newer buildings those buildings that are higher uh higher priority based off of security and and uh it helps to be able to uh to give that kind of necessary context here i'm using the building explorer to cycle through the various uh floors and we can also separate through disciplines and categories in order to well say we just wanted to get a greater detail on um on specific pieces of structure if it's either the structural details or you know specific disciplines and categories with this data so there's a lot that's available here that a lot of data and ultimately this is a way that you can use to capture the value of that data and make it immediately accessible for decision making in in the context of uh of uh of dispatching and uh first responders um so one of the other things to note here is arcgis indoors so indoors is the uh the the the uh solution that we have created ultimately for some other purposes for uh campus environments that you know where there's way finding or operations asset management or space management management but we've seen this implemented on college campuses and corporate campuses and it's another way in which we're able to uh develop a rich 3d uh interior base map that can be used in order to solve some uh some pretty major problems and and also i think help to take it to the next potential uh for understanding interior positioning uh which is also a potential component of indoors and using t at interior positioning we're able to visualize the locations of security staff here in this corporate environment we also have some other details here this is our tactical operation solution again another free solution that's schema and symbology that's been predefined by working with a lot of first responders in understanding what kind of map elements are necessary and by combining these it gives us this overall perspective where are hazardous you hazardous materials where's the locations of our entrances and exits our evacuation plans and having this kind of context at this close on at this level of detail on a local level i think really helps organizations communicate with each other they can securely share a corporate environment can securely share this base map information with a central responding agency and uh you know so that that kind of brings out another strategy here for uh for creating 3d uh 3d maps is that these can ultimately be shared securely with other organizations just like data can be shared securely crime data or avl or the locations of calls and all of this can come together to uh you know i think really flavor the potential for what a dispatch view of incidents and live avl feeds can be how that can be aided with the context of 3d mapping so uh with that i i encourage you to ask some questions and we actually have a question of our own here um brit would you like to take this yeah absolutely so we have another poll question here and it is as will your agency work towards the creation of 3d data in support of next gen 911 requirements and there's three uh options yes we're interested but we're not sure how yet b is yes we have staff and resources in place to do this and lastly is no it's not a priority for us so if you please uh submit your response and then we'll kind of look at the results after a few few moments here all right so the the results are coming in so i think this you know kind of this question really kind of ties a little bit to the initial poll question and so i think the responses are somewhat consistent uh but a little bit adjustment um but uh it's i guess it's great that we're hearing that uh while a lot of people are yet to know how to pull this off or implement this at their agency or their at their location that they're interested and that's that's really key i think here um so thank you again for everybody responding um on this poll question in the previous poll question so i wanted to go ahead and uh address a couple additional questions um and i will add that if there are any additional questions that people have during the remainder of this uh webinar please submit them in the chat uh uh or question chat area but also if we don't address a question or if you have a question that you think about after the fact please reach out to any of us here at esri um on this screen you will see the contact information for myself my king but also for our presenters john and phil so please if you have questions you don't have to do it right now but please uh let us know how we can support you so one of the most common questions we get um is will this webinar being viewable after today and the answer is yes we're recording the webinar and we will be posting this on the esri uh industry page and we'll also be sending a link to everybody who's attending here in addition um i want to let you know that there has been a lot of good information and content provided here um and there's some links here that you're seeing here about the 3d base map solution that phil talked about but also there's some other information about learning about 3d these links are here you can write it down if you want to screenshot this screen uh if you want to but we will also be providing this um afterward this webinar so if you don't capture right now that's quite all right you'll get links for this information so a couple questions that i wanted to throw out to phil and john is maybe we'll start with phil is that um can you comment as to like what 3d data is available from esri for an agency today sure um so the the first as i mentioned is you know building your your city from the ground up we do make an elevation uh layer available for worldwide that is something when you open scene viewer from uh the top of enterprise or arcgis online's home screen you'll just see you know map and scene along the top you'll you'll find that our elevation layer has been automatically added uh you know you can create your own uh custom elevation layers from that lidar as i mentioned before but other data is really mostly been developed by our users so that most major cities are actually available in 3d uh i mentioned uh that that they've made this kind of investment and they're working on sharing this both inside but also publicly so that you in scene viewer you can search for buildings in san francisco chicago san diego new york and find find that there are already uh 3d models that are accessible we are looking into licensing some other data that can be useful for 3d base map we're not there yet um so the the recommendation ultimately is that uh authoritative data really starts at home and so i recommend using that uh that basement 3d base map solution to create some of your own data from lidar perfect great um you know and i'm phil i'm gonna stay with you here um maybe you can address this question do you foresee any uh 3d uh bass maps being used to speed it speed up human humanitarian work before or after a disaster absolutely in fact we've already seen it uh i know that uh fema currently has a program that they're using 3d mapping they're developing integrated mesh to do some initial damage assessments for larger disasters so that that ultimately gives a view of uh of the damage immediately now that's that's created by integrated or the data type is integrated mesh john was showing an example earlier of integrated mesh that was captured with drone to map and you can understand how valuable and useful that can be either before an event or as a part of pre-planning to be able to capture capture a realistic 3d picture of the as-is environment and so yep both disaster and humanitarian efforts visualizing thematically has been the other so you know a lot of with the covet 19 we've seen some thematic visualizations of the number of cases uh that have also been really interesting and i think 3d really helps to tell that story great thanks phil um how about a switch to john for a couple questions here um and john this is kind of a two-part question so um at first it was a would be what is nina doing about standards for 3d mapping and then if i could kind of add another question is how is the technology fits with the nina as you net architecture i'm not sure if you could address either those questions yeah yeah good question so uh the the the next generation 911 of course is is a lot you may know as a really a modernization of the nation's uh 9-1-1 system and nina is a standards body that works very hard to develop standards that define interfaces and functional elements for how the new next generation 911 system is going to work well going back many years ago to the the start of it the design for this new system really included support for 3d so the in in one example is uh how civic addresses or street addresses are represented in next generation 9-1-1 for transmission over essie nets so the the location object so-called presence information data format location objects or pit if lows they can contain civic address street addresses that contain uh sub-address elements and the sub-address elements uh can include information like floor and also room so it is a defined structure for sub-address elements that can relate to uh three-dimensional positions inside of a building such as a floor uh or a range of floors things like that so definitely it's it's uh support for 3d is sort of woven into the architecture of next generation 9-1-1 and ezzy nets and real recently uh nina has just fired up a work group for 3d gis for 9-1-1 i'll be on the work group phil beyond the work group as well and i think this is i think it's important because um a lot of the standards and the fcc rules and the work of the carriers uh that's all um uh kind of getting the technology in place to do highly accurate and precise three-dimensional tracking of mobile phones calling 9-1-1 but again the the piece that we need in order to make that actionable uh is um really 3d and indoor maps so 3d indoor maps have to be built and that's that that's the big challenge for the industry right now geocom as a company is really laser focused right now on bringing public safety location intelligence that includes 3d and indoor mapping for 9-1-1 so it's um the the the stage is really set i mean the fcc put these rules into place a number of years ago the neenah standards for ng911 emerged a few years ago but the technology parts and components are finally lining up they're getting in into place now to a point where we can really begin to leverage uh these types of technologies to provide real value of reducing emergency uh response times and ultimately saving more lives and protecting more property during emergencies great thanks john um uh so let me uh john one additional question for you uh and phil you might have a thought on this as well but let's start with you john and phil if you have something great if not that's okay but um what tactical mapping capabilities does esri enable for indoor mapping yeah i'll take a whack at that and then phil can take over so geocom tactical mapping applications are built around sri technologies so we use the latest and greatest arcgis runtime and then we also use arcgis enterprise arcgis online and make make extensive use of the arcgis js api and so that gives us great capabilities for providing to our our end users um floor aware displays so displays that show outdoor maps but also indoor maps with tools like floor pickers so call takers and dispatchers and emergency responders can easily toggle back and forth between different floors and then the great 3d capabilities in the arcgis js api just give us a fantastic capability for uh presenting all of this in three dimensions we can display you know a three-dimensional location of a caller you know with an elevation you know we can use uh tools like the line of sight tool uh tactically to enable our users to uh you know envision what the bad guy can see from their position versus uh you know what what's visible from from where they are and so it's a great uh uh tactical um a planning and operations tool in that scenario as well but i'll uh i'll let phil take a stab at the question too yeah that's a great answer john there's the the couple of those use cases that we keep coming back to when it comes down to technical operations and indoors is uh is understanding the placement of cameras and john had a great example there with the uh the stadium example where uh you could have hundreds of cameras that are set up but making sense spatially of the views that you're looking at is really a 3d problem uh so being able to maintain that data maintain those views immediately go to the camera that's necessary uh to help you to give that picture of well where where that is and helping either dispatchers or first responders make sense of uh spatially of where an incident is or where crowds are collecting that's uh that's the first one and as also as john mentioned line of sight tooling the ability to create view sheds and there's another one of those uh another uh solution that's available called the visibility assessment solution and that enables you to create really this kind of quantitative view shed typically view sheds are from a single point to what that can see but now uh space to space so looking at an entire building that's able to see into a high profile area or an area of concern um which what how how complete is the view from each of those windows that's something that can be answered in order to be able to help to prioritize risk and risk management awesome great answers guys thank you uh so i think we have time probably one question we have other questions and i just want to ensure that anybody on the call that if we haven't addressed your comments your questions we will definitely follow up with you uh after the webinar but this last question which i've heard not only in this webinar itself from this individual but also uh in other times around is there a plan to provide a 3d mapping as a service at a national level and i don't i i don't know if that's something i'll maybe i'll ask you phil if you have any thoughts or comments on uh that happening or any plans on that sure well it's it's definitely something that we get asked and it's not without our without its challenges i i liken it to you know the where the responsibility lies for the authority of data at some points so that what i think will be most immediately achievable is that lod one uh view of uh buildings within across the national infrastructure that's very simplistic helps to give that perspective of where uh where buildings are but at the same time it doesn't have the level of detail that may be necessary in understanding where the floors are what's inside those buildings this is something where i think europe is sometimes a bit ahead of us on they've prioritized the collection of 3d data based off of public safety and security concerns and uh so it's a legal requirement to actually maintain uh like the the bim data that revit data that i was showing before in essential repositories so it can be made accessible first responders very uh very easily uh so i think we've got a bit of learning to do i think uh also from esri's perspective we we have we do have some uh licensing to investigate to ensure that we're able to at least provide uh a very generalized level of detail for our users again it is a very challenging process to be able to bring together all of the the building data for the entire us but you know i i would i would suggest that it it there's a responsibility that's really uh required from uh from each agency jurisdiction at this point to build the highest level of detail that uh that they're able to great well thank you phil well i want to just uh as we kind of close out this webinar i want to thank give a big thank to you phil and john for your support today it's a great jobs and we really thank you for supporting this and i thank everybody who attended today's webinar again this will be uh it has been recorded and will be posted uh for uh view after this event and on behalf of from everyone esri uh in this coveted world that we live uh please continue to stay healthy and stay safe thank you and have a great day you