Merken

High-precision open lidar data enable new possibilities for spatial analysis in the canton of Zurich/Switzerland

Zitierlink des Filmsegments
Embed Code

Automatisierte Medienanalyse

Beta
Erkannte Entitäten
Sprachtranskript
thank you very much I'm happy to represent you
a full chat that high precision open like the date of Seurat's Switzerland I guess most of you don't know all those it's unique Switzerland so I might just
wanna show it to you on the map this is up Switzerland is in the heart of Europe and then Switzerland has a population
about of about 8 millions of people we are quite a few if you compare to South Korea with this 50 millions of people and Switzerland spends an area of about 42 thousand speculators and it's a confederation it means it's based on the principles or from a federally some and it means like the current 1 of the 6 26 candles they have a lot of autonomy they can decide independently about lots of and for example and also about strategies in the field of geo-information open data strategies the this is the
kind of Serie it lies in the north of Switzerland and made as a
believe it more than 1 million of people and it spends an area of thousand 7 129 sweat kilometers this number is important because the light a project that at 1 of 4 and presenter you eat it covers the whole area of this came to only means like thousand 700 square kilometres
some words about us some advocate that cantonal administration of Serie get the Department of formation and the service and Knowledge Center for all issues related to your information let's start with the side or I don't know if all of you know light dot is just some words about the light of Latin means light detection and ranging and it's a remote sensing technology that messes this sense by illuminating a target with a laser and analyzing the reflected signal it's mainly used them as a technology to am to chromium to create digital terror and models so let's come to this unique light approach and in the light project is part of the parent project low-fat moment for the tool and this project aims to recover or to that face and if the whole area of the contour of stearic as I said it's about 2 thousand 700 square kilometers and not only that an airborne laser but also the high resolution camera and speak only about the light of a project the scanning period of the light I was in March April 2014 the flight altitude was between thousand 410 thousand 800 meters above sea level and they were flying at helicopters and also small aircrafts mainly because because they had to fly at nite about unique airport than they used aircraft we had to add 260 flight tracks at the lower level of about 20 per cent it took 6 2 hours to flight of all canton and we use the lighter points between the scanning angle minus 20 degrees and plus 20 degrees then product to be got from the company that the 2 scanning for us and is that going to go out and we got it already classified into the 10 classes that you you see here and it's according to the American Society for Photogrammetry and Remote Sensing I think it's it's usually they always need the same cold what products and data we have as I said we have to point cloud and it's informant last long tool according to the society we have to click this 10 classes that the assault before and we also have point cloud of only ground points it means clause tool points in all the text that we give away we also have a point cloud of non-ground points that means all except class tool and also in sky text we also have a tyrant model that we compute that it's a g of the great and also a surface model M in intuitive form of we also give away at if VIP comrades serve each and and noticing to see that cover service with the DTM and the DSM and our main
product and also the most wanted is determined model and to serve face model you see here the difference in this and picture between the D and and the DSU the term that is really the bare ground while the sur face model is the trees and rooftops of buildings etc. the how do we calculate
that Karen model and serve face model and as I said before for deterrent model the only used last called tool for deserve face model we used them lost codes tool 3 4 5 6 and 10 for
the DTM needed that triangulation off the ground points it's ability triangulation and last called tool points and the computed that and a half a meter great mortal for deserve face model we use the highest hate to of all 1st returns to great self and and we use the last codes tool 3 4 5 6 and 10 and wherever you had cells we use the values of the deterrent model also be here we had a half a meter cell so what are the special issues of the project and there are lots of light projects in the road and you might ask what is so special about this project is out a 4 points the denoted here and it's very special in terms of resolution and accuracy also this concept the repetition interval and because it's Open Government Data and speak about the following points now resolution and a
curious scene the resolution is
and have an average point density of all 8 points per square meter sometimes even have 10 points per square meters that's a huge point cloud it's also a lot of storage is thousand 850 bytes of storage the accuracy is the horizontally 20 centimeters and vertical leads 10 centimeters
this all the total coverage is thousand 900 square kilometers and you remembered area of the content of Syracuse thousand 700 plus have a buffer zone of 500 meters around the borders as makes thousand 900 square kilometres in includes the cities the big cities Siric invented to work and also the airport off series and we never had that at a big project like that ensued before they had lots of small scale project was is the 1st 1 this is really big and covers a big area
the repetition interval it is planned to do with the laser scanning every 4 years and the aerial photographs every 2 we use so i'm it means in the future it's possible to do was spatial-temporal monitoring project that's also a very important aspect of the project open data we have
an Open Government Data part-time in Switzerland's open data I mean don't c h we have there are lots of data sets at the central point and we also are part of December project and we have that own to see that coverage service with their time model and surface model therefore for free you can just get you were out there if you want to download the
times you can go to our Shieldaig w work maps at the age c h that you can download the G octaves for to surface model and the terror model you can even download the rule lighter data and all you can download and they're light data tho in all-sky formant it's all for free because it's Open Government Data because it's open government
data a lot of people download there the day so and they feel that cations universities download the data because them they want to get to know how working with large data sets and here is an example on the left from a guide that and develop an application you can m downloads multiple times at that time because on our side you can only and type of child downloads that they don't it he downloaded something with multiple time you have a graphical selection and to download the times you can even download whole directories and that's what happens when you open it as open data people start to do that develop applications to look at the data on the right side there is somebody also from Switzerland that calculate that step contour lines we haven't done this in our department because we said the only and give a weighted that there the blank data up so people outside they can do what they want and can contribute again to the community so what does open mean
we have for all our Open Data we have a CC-BY license and as you all know what it is if you want to know more
about Open Government Data in Zurich come tomorrow 2 hour lecture we have them a lecture about the use case of a dual open strategy in the content of Cyrix together with call the give you more about the Open Data project a show you some use
cases of the latter day and
this is um Marcus shapes and he sent me this image he downloaded all our light data because it's open data and made the nice visualisations we read them contrary you see all the points the lighter points here this is the city center of Seurat you might know it be the churches
this is the area of them they're Polytechnic common University in Zurich also of pottery was shared here is a
picture of nice stearic of the city center when you see the same with the
lighter points you see that it's a very accurate yeah exam quote
by classes you know class the buildings gather class 2 trees and also he dish their boats on the rear them there a different class it's some the gray shades theory Brett represented different height levels user
Kyaw all stories Ondrea's my mom and he downloaded also that hold data top and calculated the 3 D CAD model of the city of all there and they use it there in their in their administration of the city and they could have never afford to buy data like that because about because it's open data that just downloaded data and computed the free DCT MCL and model exam level of detail to is an example of
cadastral survey the detection of different type levels within buildings um in Switzerland we have them a rule that if you have height difference of more than a tool above 6 meters reading a building you have to draw a line in the layer of the contextual data and if you wanna know if they're cadential data is contact if them all the height difference are reading the map we have to go outside or now we can use light our I wanna show you an example here it's the building number thousand 13 would in the red circle you see it's only 1 building there are no height differences if you watch it in
school goes to read to you or you see that we have here like and that was the the by house yes so there should be actually life so I'm bit light up and
with the aid of a range filter of 3 by 3 pixels we can calculate the difference between the highest and the lowest points in the immediate proximity of each pixel and so you can make these computations and then you see the red lines here very you should have these lines and you can actually check if the Vestals theory is correct you don't have to get out anymore and check it in the field this is sam was an example of
cadastral survey it's that the area of forest you know you see a forest polygon and how do we know if this is really the forest there out the forest borders here you see
indirect you see the lines of the cadastral survey and in green you see the lines that the calculated with the light of features and like the pictures don't they're not useful alone is to detect the forest boundaries but in combination with their aerial photographs that you see at the bottom you can reach a really good results and because and the aerial pictures that you have to shades of 2 trees you have to leave you don't really see the trunks of the trees but the latter day that you you see the trunks so it's a good combination to the factory the forest boundaries this
is an example of from archeology in the detection of prehistoric barrels and then the problem it's ontological structures states that they use it usually that covered which vegetation and you don't know what is the lower and you don't see if there are some medical optical structures below or not we'd like there you can see you see actually 2 Oscar and Grant because you get the signals you know from the light of pulses and make the aid of special algorithms and in our department that even detect structures that got the that and are only a few centimeters high so you can see actually old and Barrows you even see if they got dropped already or not you see these holes here within their about the pressure inside anymore if another
example from 4 states the detection of skates trailers K trails arch and unpaved part in the form that you used to transport to hold out of the forest OK 5 minutes in the morning and it is unpaved so and you did is often not marked up on any maps because and they're not so and but you're interested that to use the same trails again and again because you don't wanna make an for so and what can you do in order to find out that you have to skate trace you can measure them GPS you can go to the field measured and or you can go and take a light and a and using your room you also see in the next set of lecture and the so you can actually plan timber cutting from your all fees you know you don't have to get out of plane like and the that is just a short them
example that we use those of mutual reality and as a PR instrumentally calculated the locals erase version made all their lighter calling this was on it to show
all the people that funded project begin administration to show what light . ece what is a pound about point clouds what the slides are able to do what is is not you see also that the accuracy of the voice and we used it for that and people very happy to see what it is so what did we
learn acquiring new experience in working with a very late large datasets we didn't have this experience yet so we learned a lot and we also learned that the automatic preprocessing always needs manual post-processing 1
example is the prime time of serious the 2nd highest building on 1 of the 6 meter I mean here we have different buildings and is the 2nd highest building an inverse model and elided data it just disappear you know after that automatic preprocessing and we found out that these reasons that thought it can't be true that there is 1 big building and it just disappeared so we we reorganized and that we have to and do a lot of manual preprocessed post-processing and yeah you don't have to underestimated these efforts
conclusion opening up the dataset most definitely the right decision and because it led to the development of many attractive applications and visualizations they're useful not only for the public but also for us within the authorities because then people develop nice applications that he can use again the combination of accuracy resolutions repetition trouble and openness makes this dataset unique we never had something like like that before and I get to say that it's 3 a locational advantage for the content of series to have that kind of state of M and we also saw that attractive over datasets lactase like data this really helps to promote open data
all I can say is open you alive today but it pays off because you get a lot better you have any questions the and questions and that go ahead yeah any aggression yeah and labor land information history as a finds and maps that is predicted on but that is local proponent of assumption that only have as files yes so the standard narrative hidden term will the content only every 4 years but there are those will suspects and not a whole can of them but it's Open Data why the publishing a bit under Creative Commons version 2 a song her this my that I was on the rise of medieval change because we will change actually to of Switzerland Open Data license so it will change in the near future we will only have long license for all Swedes when for all the datasets that's historique earlier than all of the I have a question do you have any ah and I wouldn't suffice to propose processing that just made light are available in the UK 3 as well which is great on we have a dataset was tree heights emotional literature it I just run the max and min mean average and budgetary a thousand meters high and income for nothing question was 120 meters high so thousand meters and that's a pretty basic statistics are as when you were this energy due to pick out strange outliers and it was mostly with it annually at a company that did it for us some I don't know how much time and is used for the Christians but I'm sure it you need a lot of time because as I said you don't have to underestimate the news the road disappeared in the angle of the high transmittance so you need postprocessing requires in any more questions instruments
Offene Menge
Offene Menge
Eindeutigkeit
Analysis
Computeranimation
Gammafunktion
Mapping <Computergraphik>
Datenfeld
Offene Menge
Strategisches Spiel
Computeranimation
Quadratzahl
Flächeninhalt
Reihe
Zahlenbereich
Projektive Ebene
Kombinatorische Gruppentheorie
Computeranimation
Offene Menge
Punkt
Momentenproblem
Flächentheorie
Extrempunkt
Computeranimation
Netzwerktopologie
Digitalsignal
Code
Meter
Punkt
Bildauflösung
Winkel
Gebäude <Mathematik>
Reihe
Biprodukt
Dateiformat
Frequenz
Digitale Photographie
Arithmetisches Mittel
Dienst <Informatik>
Digitalisierer
Server
Projektive Ebene
Information
Informationsmodellierung
Subtraktion
Klasse <Mathematik>
Gebäude <Mathematik>
Dienst <Informatik>
Term
Überlagerung <Mathematik>
Weg <Topologie>
Informationsmodellierung
Bildschirmmaske
Geräusch
ASCII
Flächentheorie
Vererbungshierarchie
Biprodukt
Streuungsdiagramm
Fehlermeldung
Vererbungshierarchie
Systemverwaltung
Winkel
Objektklasse
Frequenz
Minimalgrad
Quadratzahl
Flächeninhalt
Meter
Mereologie
Wort <Informatik>
Laufwerk <Datentechnik>
Lateinisches Quadrat
Streuungsdiagramm
Offene Menge
Punkt
Decodierung
Sterbeziffer
Zellularer Automat
Sprachsynthese
Gebäude <Mathematik>
Term
Rechenbuch
Computeranimation
Informationsmodellierung
Geräusch
Triangulierung
Code
Meter
Punkt
Bildauflösung
Fehlermeldung
Datenmodell
Bildauflösung
Offene Menge
Zellularer Automat
Codierung
Server
Projektive Ebene
Triangulierung
Mittelwert
Punkt
Dichte <Physik>
Speicher <Informatik>
Bildauflösung
Computeranimation
Dichte <Physik>
Demoszene <Programmierung>
Vertikale
Knotenmenge
Quadratzahl
Mittelwert
Meter
Punkt
Speicher <Informatik>
Streuungsdiagramm
Bildauflösung
Zentrische Streckung
Reihe
Extrempunkt
Zeitzone
Computeranimation
Puffer <Netzplantechnik>
Pufferspeicher
Quadratzahl
Flächeninhalt
Digitale Photographie
Offene Menge
Meter
Projektive Ebene
Flächeninhalt
Inhalt <Mathematik>
Zeitzone
Streuungsdiagramm
Offene Menge
Punkt
Schlussregel
Computeranimation
Mapping <Computergraphik>
Informationsmodellierung
Dienst <Informatik>
Menge
ASCII
Offene Menge
Flächentheorie
Mereologie
Punkt
Projektive Ebene
Arithmetisches Mittel
Multiplikation
Menge
Konvexe Hülle
Offene Menge
Trennschärfe <Statistik>
Datentyp
Kartesische Koordinaten
Elektronischer Programmführer
Verzeichnisdienst
Grundraum
Stochastische Abhängigkeit
Computeranimation
Offene Menge
Dualitätstheorie
Offene Menge
Strategisches Spiel
Projektive Ebene
Inhalt <Mathematik>
Computeranimation
Strategisches Spiel
Shape <Informatik>
Punkt
Flächeninhalt
Offene Menge
Visualisierung
Bildgebendes Verfahren
Computeranimation
Netzwerktopologie
Subtraktion
Punkt
Klasse <Mathematik>
Gebäude <Mathematik>
Physikalische Theorie
Computeranimation
Übergang
Subtraktion
Kreisfläche
Sondierung
Freeware
Gebäude <Mathematik>
Systemverwaltung
Zahlenbereich
Übergang
Gebäude <Mathematik>
Sondierung
Computeranimation
Übergang
Mapping <Computergraphik>
Informationsmodellierung
Offene Menge
Datentyp
Meter
Gerade
Videospiel
Spannweite <Stochastik>
Subtraktion
Bit
Punkt
Datenfeld
Pixel
Computerunterstütztes Verfahren
Abstand
Gerade
Physikalische Theorie
Computeranimation
Resultante
Wald <Graphentheorie>
Sondierung
Randwert
Schaltnetz
Sondierung
Wald <Graphentheorie>
Polygon
Computeranimation
Netzwerktopologie
Randwert
Flächeninhalt
Digitale Photographie
Minimum
Vorlesung/Konferenz
Faktor <Algebra>
Gerade
Wald <Graphentheorie>
Ontologie <Wissensverarbeitung>
Bildschirmmaske
Druckverlauf
Puls <Technik>
Algorithmus
Datenfeld
Menge
Mereologie
Elektronischer Fingerabdruck
Ordnung <Mathematik>
Datenstruktur
Tonnelierter Raum
Aggregatzustand
Rechenschieber
Systemverwaltung
Stellenring
Versionsverwaltung
Projektive Ebene
Streuungsdiagramm
Computeranimation
Präprozessor
Gebäude <Mathematik>
Meter
Inverses Problem
Computeranimation
Offene Menge
Bit
Prozess <Physik>
Extrempunkt
Schaltnetz
Mathematisierung
Versionsverwaltung
Kraft
Kartesische Koordinaten
Term
Computeranimation
Entscheidungstheorie
Netzwerktopologie
Arbeit <Physik>
Meter
Visualisierung
Inhalt <Mathematik>
Softwareentwickler
Bildauflösung
Autorisierung
Statistik
Kraft
Winkel
Reihe
Stellenring
Transmissionskoeffizient
Elektronische Publikation
Arithmetisches Mittel
Mapping <Computergraphik>
Energiedichte
Ausreißer <Statistik>
Offene Menge
Bildschirmsymbol
Information
Eindeutigkeit
Aggregatzustand
Vorlesung/Konferenz

Metadaten

Formale Metadaten

Titel High-precision open lidar data enable new possibilities for spatial analysis in the canton of Zurich/Switzerland
Serientitel FOSS4G Seoul 2015
Autor Haller, Priska
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/32080
Herausgeber FOSS4G
Erscheinungsjahr 2015
Sprache Englisch
Produzent FOSS4G KOREA
Produktionsjahr 2015
Produktionsort Seoul, South Korea

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract The department of geoinformation of the canton of Zurich/Switzerland has carried out a high-resolution laser scanning (LIDAR) last year over the entire canton of Zurich. The extensive data (8 pts / m2) have now been evaluated, and a digital surface (DSM) and terrain model (DTM) created (dot grid of 50 cm and horizonal and vertical accuracies of 20 cm, resp. 10 cm. This is the first time high-resolution elevation data is widely available for the entire canton of Zurich. In the past, lidar data have been collected only for small-scale projects. As a novelty, the department has decided to provide the lidar data and its derived products, i.e. DTM and DSM, as open data to the public. With this decision new standards are set not only in terms of accuracy and scope, but also in the usage as open government data. The lidar data can provide valuable support for example in the areas of infrastructure, urban planning, regional planning, natural hazard assessment, forestry, environment, energy, line survey, solar potential analysis, surveying, archeology, agriculture, water or noise. Due to the planned repetition cycle of four years even time series and monitoring projects are possible. Therefore it is not surprising, that since the opening as open data, many interesting applications using this data have been created. The presentation will show the high-resolution data and its possible usage for terrain-visualizations. A selection of the most appealing visualizations will be demonstrated, e.g. an Oculus Rift version enabling the user to navigate through virtual reality. It will further give an insight in the challenge of opening up the LIDAR?data for the public, i.e. setting up an open-data strategy in the cantonal administration of Zurich.

Ähnliche Filme

Loading...