Manual_DielmoOpenLiDAR_2.0_BN6.
Contents
1. 0 uL A clasificacion las B Sin clasificar Suelo vegetaci n baja vegetaci n media Vegetacion alta Edificios Ruido Reservado i Aplicaci n iniciada 1 554 324 846 v Grados Lon 2 42 20 at 429 52 10 P5G 23030 Inicio ko 2 C ljcarlo C jcarlo 3 8 Presenta qvSIG Si Y Adobe Ph ES O LL x An With layers that have RGB colour BIN and LAS 1 2 format it is possible to paint it with their corresponding colour We can find layers on the view that do not have RGB and when we click on the button these layers will have default colour If not one of the layers has RGB this button will be unavailable The next image shows how one layer painted depending of the RGB for each point In this case it is a terrestrial LIDAR measuring one manuscript gvSIG Proyecto Lidar clasificacion gvp f EX Archivo Yer LIDAR Capa Ventana Tabla Vista Ayuda TNN mie CETERE ee MB T T E eame BE LOAM t Vista Sin titulo 0 X BH Ww AZ alld Sa BB A xyzrgb manu i Default b v dB clasificacion las po be m Default i v B clasificacion tif i Aplicaci n iniciada 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE s d umo RE pii This button paints again the LIDAR data with default symbology choosing a random colour for each one of the layers Like this we can know the extension that each file has 2010 Dielmo 3D S L2. DOG 48s S CACSXXe OM ON K NAE GOW BE 1 BH Gd ad bi SDF MATIC LCV Vista Sin titulo 1 TE i Aplicaci n iniciada 1 12 114 v Metros k 350 339 68 fi 4 738 147 43 EP5G 25830 On having done zoom in a smaller area if we have the range of colours fitted to visualize all the extension from the files or another zone from the same area it is possible that we can t appreciate the data with a high level of detail example on the left on the next image but if we click again on the button the legend will be recalculated depending on the data visualized example on the right on the next image being able to visualize better the different heights on the screen musa PTT LLL ish nnn T ELLI LLCER Lala TT TT LL Lee E nun TIL LL Meer TTL PTT Eit guum uns qusenanert rer SUUETEURETIESSSSR0020 ngage ge eentntuen eei UARRquaanun Aa ST ERES Se T T T arate ml PARRETS pee Ca AEn eee a nrw pags cup mima EM ir ame MALAE T MATELAS EE el v rEEPRRERTTTTT Lene RHHILEEHEITITE ARATE pryasenteVOuinlee TEN Cee TTT jageee sunnnEEEEEEEE i Draw the LIDAR data depending on the intensity On having clicked on the button also a statistical calculation of the intensity value of each point in the view Is realized In this way we can adapt the symbology to visualize in more detail the region interesting for us This symbology is applied to all the LIDAR layers available in th
3. you can find a description of the methodology and tools that we have developed for this free software called DielmoOpenLiDAR 2 0 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE x SSE EU 2 Driver to get access to LiDAR data in GvSIG In 2008 DIELMO started to develop the free software DielmoOpenLiDAR 1 0 The initial phase was to create a driver to get access to LiDAR data from gvSIG This driver enables the usage of data in different standard formats and it gives gvSIG the basic tools to work with LiDAR data in the easiest way possible On the other hand it also allows you to open original LiDAR data LAS and BIN and to visualize it when it is super imposed on any other geographical information consulting original value from anyone of the points and editing it doing a visual analysis and data quality control DielmoOpenLiDAR was born to manage big volumes of LiDAR data Hundreds of GigaBytes of a rapid and robust form To do this the software doesn t load data in the memory but just paints the necessary information depending of the scale of visualization We added the following specific functions to GvSIG Drivers can have access to the LIDAR data in LAS and BIN format to read and write Buttons to apply the symbology automatically depending on the height intensity classification or colour to all the layers available in a gvSIG view Button to apply again a default legend to the LIDAR layers t
4. 1 SY MINISTERIO BATSON SE DielmoOpenLiDAR 2 0 user manual DIE Pn a ic DEFOMENTO AUD 5 Project management tools the LIDAR document Once established in the previous phase the bases for the developments related with LIDAR data with gvSIG the second phase consists in developing all the necessary tools to enable us to manage big volumes of LIDAR data with another GIS data orthophotos or vectorial cartography easier and quicker For this we have created a new type of document in gvSIG besides views tables and maps Gestor de proyectos is de documentos LIDAR LIDAR 1 Nuevo Propiedades de la sesi n Nombre de a sesi n Sin titulo Guardado en Fecha de creaci n 15 may 2009 Propiedades Inside this new document we will define all the data related with the LIDAR project In this way we will define all the information necessary just at the beginning where are the documents where they need to be saved and after it will be not necessary to do it again because all of this will already be defined before we open the view Then we can see all the windows that compose the LIDAR document O 2010 Dielmo 3D S L 1 1 E g MINISTERIO DEL INSTITUTO DielmoOpenLiDAR 2 0 user manual DIE 4 9 T d MINISTERO uu LiDAR 0 Proyecto LIDAR DAP LIDAR SIM AJUSTAR eA zonas de contral Ruta Ortafoas E Kis Parametros Clasificacion Control calidad Leno LIN
5. 200 225 250 275 300 325 Distancia On the graph the LiDAR points drawn are the ones being visualized in the view at the time that the region of the profile was defined It is because of this that we need to bear in mind two things 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE x dicm e fthe profile region is defined meanwhile we are painting points on the view in the longitudinal graph will only appear those points that where already painted on the view not those whose will be painted after e f we draw a profile with a distant zoom all the points will be not painted on the profile because like were explaining before the driver s strategy to visualize LiDAR data in gvSIG paints less points in the view when we are farer to have a quicker access to the data Inside our longitudinal graph we have some tools that allow us to analyze data in a more agile form We proceed to describe each one of these tools e Selection Allows to define on the longitudinal graph a polygon to select the wished points Once the polygon is defined the selected points are painted in orange inside the graph and remaining selected e Zoom Allows to do a zoom inside the longitudinal graph to see the selected points with more details or select it with better precision If we click on the graph with the right button of the mouse we go back to the original zoom e D Selection by classification After make a selection
6. in the graph we can use this tool for choose only the selected classes from all the selected points This button is equivalent to the button in the view explained before e Establish classification After do a selection in the graph we can use this tool to assign the wished classification to the selected points This tool is only available when the LiDAR layer is in edition mode and when the zoom level is enough high all the LIDAR points are painted This button is equivalent to the button in the view explained before e Print Prints the selected graph Save Save the graph in png format 2010 Dielmo 3D S L i S ministerio Benge DielmoOpenLiDAR 2 0 user manual DIE Pn s ic MINISTERIO uu IB LiDAR Algorithms Here we have a compilation where we are adding all the analysis algorithms needed to LIDAR data In the next image we can see all the available algorithms today We proceed to describe shortly each of them DielmoOpenLiDAR 9 Algoritmos SEXTANTE Herramientas 5 Control de calidad i 4B Agrupar puntos 3 15 Analisis de ejecucion del vuelo 8 Analisis de ejecucion del vuelo ib Analisis de solape i 458 Analisis previo de los datos Lai Precision en altura Previsualizar datos A 55 Leer cabecera fichero BIN sd 488 Leer cabecera fichero LAS 15 Previsualizar Fichero XYz Buscar e Data pre visualiz
7. into the download requests by region we have a fourth parameter that indicates the route where the information has been downloaded We can use these downloads when we configurate everything from the LIDAR menu Download LIDAR data and from here make our choice between download profiles or download region O 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual pie T oh ius ES 4 Management of LiDAR data in gvSIG Once we have installed the extension we will have a new driver gvSIG LIDAR driver in the add layer window and it is this one that we have to select to open LIDAR files in LAS or BIN formats Anadir capa Archivo GeaBD Anotaci n WCS Georreferenciar wms ArcIMS WES Buscar en 9 las Carrion _ETR589_000001 las Carrion ETRS amp 9 000017 las Carrion ETRS89 000002 las Carrion ETRS88 000018 las Documentos Carrion _ETRS89_O00003 las Carrion _ETRS589 000019 las Poe Carrion _ETR589_000004 las E Carrion_ETR589_000020 las Carrion _ETR589_000005 las Carrion _ETR569_000021 las Carrion _ETR589_000006 las Carrion _ETR569_000022 las Escritorio Carrion _ETRS589_000007 las Carrion _ETR589_000023 las Carrion _ETR589_000008 las Carrion _ETR589_000024 las Carrion _ETR589_000009 las Carrion _ETR589 000025 las Carrion ETRS89 000010 las Carrion ETRS89 000026 las Carrion ETRS89 O00011 las Carrion ETRS amp 9 000027 las Carrion ETRS89 000012 las Ca
8. search For each point of the layer it searches the points inside of the radius indicated between all the LIDAR layers doing as well statistical calculations to find errors and the standard deviation comparing the height of the control point with the LIDAR points founded inside the indicated radius After we will do a second selection of points but now deleting outliers from the mean standard deviation to eliminate the points that add error to our mean result We can say that for calculate the height precision this algorithm is an algorithm to group points because for have precision with the calculation it puts in the same group the points from the same control area and give them a new field 4 Flight execution Analysis Algorithm that spends more time to be calculated because this algorithm read the 10096 of the LIDAR points helped with images with same accuracy With less accuracy we will have better defined polygon as a result but with more accuracy we will need more time for the calculation and maybe if doesn t have space in memory an error will appears The ideal way for the PNOA LiDAR format is work with a resolution of 20x20 The results are 4 vectorial files 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE x AES e Flight zone Vectorial polygon map with the flight zone storing one polygon for each flight line present in each one of the LIDAR files that composes the LiDAR flight Moreover stores th
9. 1474719 7872 86 474719 7872 lB6 474719 8114 lB6 474719 8114 r 44724740 4041414 14737000 09 13341 27 4737000 03 1132 98 20 4737000 06 1132 57 136 4737000 17 1132 53 lal 348972 59 348973 9 keren e eN Nn a Nn stelele ereeeso ee oro ooo po ooo So pDlojlojojojo ojojojo a a a ra pa e sleololololololololo bT ia ma N9 ma 0 1078298 Total registros seleccionados On having opened these kind of files appears on the screen this new button s bar that we will use to change automatically the symbology of the LIDAR layers that we will open in the view zi 1 e vl Next we will describe what each button can do 7 Paint LIDAR data depending of the height When we click on this button all the points that we can see in the view are used to do a statistic calculation We can adapt the symbology to visualize with the interesting zone with more detail This symbology is applied in all the LIDAR layers available in the view being visualized all the layers with the same symbology so we can appreciate where the changes are between layers For example in the next image we see the same data as in the previous image but after press this button O 2010 Dielmo 3D S L MINISTERIO DielmoOpenLiDAR 2 0 user manual mL d m sone sg DE FOMENTO gySIG Sin titulo Archivo Yer Capa Ventana Vista Ayuda
10. DAK DielmoOpenLiDAR 2 0 user manual DIE Pn gl Doh MNSTERO Eee 1 Introduction After the acquisition of LIDAR data we have a big irregular cloud of XYZ points available Let s imagine a plane flying more than 4 hours each day measuring 150 000 points each second and for each point get XYZ coordinates from the first and the last pulse intensity value of the signal that comes back to the sensor GPS time Few years ago there was few LIDAR data available generally from small hydrologic projects But in the case of Spain due to the National Aerial Ortophotography Project PNOA will be available LIDAR data from the wole country actualized every 4 years and free for everybody can get access to the information The purpose of this software is go beyond the data visualization capability obtained in the first version of DielmoOpenLiDAR 1 0 software and use it to work with tools that really obtain final products example do the quality control from LIDAR data For this reason DIELMO 3D S L decided to take the initiative to start the development of this Open Source software called DielmoOpenLiDAR using our research experience in remote sensing and software development in LIDAR data processing toguether with our knowledge in the LIDAR market DIELMO is one of the main LIDAR data suppliers in Spain and has worked in lots of acquisition and processing LIDAR projects and has developed different applications from 2003 Next
11. EA DE YUELG LIDAR AJUSTADOS Ruta Anadir ridielmoilidariPNOA Valencia LASYPNOA L8 2009 VAL 25cm VLC las _sc_O090805 716 4368 las iC AdielmotlidariPMOA Valencia ASYPMOA L8 2009 VAL 25cm VLC las sc D9n812z 714 4368 las Eliminar C idielmot lidar PNOA vValencia LAsYPNOA L8_2009_VAL_25cm_ LC_las_sc_090812_714 4370 las IC AdielmotlidarPNOA valenciai LASIPNOA L8 2009 VAL 25cm VLC las sc_090812_714 4374 las Cr dielmo lidar PHOs VYalencia LAS PNOA L8_2009_VAL_25cm_VLC_las_sc_O090812 714 4378 las CAdielmovlidar PNOs valencia ASYPNOA L8 2009 VAL 25cm VLC las sc 090812 714 4380 las iCiidielmovlidar PNOd Valencia lLASYPMOA L8 2009 VAL 25cm VLC las sc 080812 716 4372 las w amp CdielmolMidarPNOA ValencialLASYPNOA La 2009 VAL e5cm VLC las sc 9 8l12z 716 4370 las Inside the LIDAR document on the left we have a tree that allows us to select different windows to indicate all the data related with a LiDAR project After this we will do a description of the information that needs to be introduced in each of the windows e LiDAR data Related with the previous image Here we will indicate the address from all the LIDAR data that we will use in our project If the LiDAR data has already adjusted data we will add them inside of the box adjusted LIDAR Nowadays there is no algorithms that can use LIDAR not adjusted but thinking ahead we left one part to add this kind of LIDAR data and one vectorial file with the p
12. R layer more or less points will be drawn lightening the representation tasks and bearing in mind that we want to manage thousands of points at the same time Due to this we need to realise that when the zoom is far away it is possible that all the points are not drawn and we can consider this a pre visualization until we are close enough These files have an associated table that depending on the format will have more or less columns and have associated information to each point like height intensity classification GPS time On having begun the edition we could change the values of this table but we cannot modify the structure of the table because the format of this data is not allowed O 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual Tabla Tabla de atributos Carrion_ETRS89_0000726 las 4737999 97 348997 4 1176 62000 ministerio DENSIS DIEI EQ DEFOMENTO SESAO amp s Edge of Fli Classification Scan_Angle File Marker User_Bit_Field 0 0 87 Seles GPS_Time 475113 4808 348996 08 4737999 98 1175 65 g7 475113 4808 348937 42 4737999 99 1156 13 E 2 1 87 475113 5134 348872 100 4737999 98 1145 41 3 87 475113 561 348864 100 4737999 97 1138 16 les ee STN STM ee 87 4751 13 561 348802 92 4737999 98 1138 24 25 87 475113 6144 86
13. ation There are three algorithms that allow to obtain a head board pre visualization from any file with LAS BIN or XYZ format For example in the next image we have a head board from LAS file where we can see number of points max and min values among other things O 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE iS x NNT ae Resultados SEXT ANTE E redis Cabecera fichero LAS C dielmo lidar clasificacion las Tra abecera File signature LASF GUID 0 GUID 0 GUIDS 0 GUID4 Version mayor Version minor I system identifier Generating software Terrascan Day 0 Year 0 Hdrsize 227 Offset to point data 229 Humber of variable length record 0 Point data format ID 1 Point data record length 25 Mumber of point records 2537181 Mumber of points by return 2502277 Humber of points by returna 34248 Humber of points by returni 508 Humber of points by returnd 33 Humber of points by returns 4 X scale 0 01 Y scale 0 01 scale 0 01 X offset 0 0 Y offset 0 0 A offset 0 0 hiar X 524900 00 Min x 544000 0 har Y 4746999 99 Min Y 4746000 0 Wax 1607 43 hin 4 546 04 e Quality control These algorithms are applied to LIDAR data having as a result vectorial files with necessary information for the technicians to check if the flight was executed acco
14. d part of the process will be not necessary repeat the whole process The results are 4 vectorial files e Total extension of the flight zone We obtain one polygon with the flight area e Flight lines Consists in dissolve the vectorial file of the flight zone to obtain one polygon for each flight line where the code is stored the O 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE 4 9 x number of points contained in this flight line polygon area and mean density of points e Overlap zone Using the flight line file we obtain a new vectorial file with overlaps between flight lines and will be generated a new vectorial layer of polygons with the transversal coverages between flight lines In the attached table is stored the code from both flight lines that give us this overlap as a result the minimum percent the Max and the mean between these flight lines e Holes Generates this product from all the the flight zone s surface To make easier and faster call all this algorithms we have created automatic steps inside of the LIDAR menu in the view Ver Capa Ventana Vista Ayuda Descargar datos LIDAR b E 5 03 Control calidad Analisis previo de los datos A Cargador de capas LIDAR Analisis de ejecucion del vuelo A Seleccion de documento LIDAR activo Informe de precision en altura LB Algoritmos LiDAR When all this options are pulsated entry and exit data are taken from the LIDAR document and the a
15. da RESOLUCION m SOLAPE m TAM MAX EDIFICIO m PRODUCTOS PRINCIPALES Nombre de producto Activa PRODUCTOS ALISILIARES Nombre de producto Activa 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE Pn a ic UCET S e Classification We can find it in the next image Here we will define the table of classifications that we will use to visualize classified data and to interpret the field values Classification in each table for any one of the points This substitutes the legends that were used in the first part of the development This panel allows us to change the colour used for paint any one of the classes change the value of the 11 default classes defined like standard in the LAS 1 1 and higher formats add new classes and activate those who will be visible or invisible in the view LiDAR 0 Eg Documento LIDAR Datos da LIDAR TABLA DE CLASIFICACION Creado nunca clasificado 5 vegetacion baja Guitar todos vegetacion media vegetacion alta Default Edificio unto bajo fruido eckoariales Parametros i r ERIE EET 7 Ar Zonas de control Simbola Valor Clasificacion Visible OrtoFokos A p a Ed adel key point mass point untos solapados e Quality control This panel indicates the route of exit of the vectorial files results from the quality control to indicate which one is the fields that have the line of flight code in t
16. e code of the flight line and the number of points that contains each one of the polygons e Holes Vectorial polygon map with the zones not flown These areas use to be water areas but this analysis could help us to detect if there are any region without be flown due to a mistake in the LIDAR sensor This algorithm obtains one provisional layer that will be used to calculate the next algorithm and obtain the final holes layer e Density Vectorial map of polygons with the density of the number of points each square meter with a 100 meter s grid in vectorial format This map will permit analyse if the requirements of density each square meter are accomplished e Flat points From the original LIDAR data we are looking for flat surfaces where the maximum height variation difference between max height and minimum height is less than 30cm inside of the resolution From this points selection we will take the points that are on overlap zone and we will obtain a vectorial points file with the height differences between flight lines that will be used to analyse the height adjustment between flight lines 5 Analysis of the fight execution 2 This algorithm continues with the previous one and uses the final files described in the previous point We decided to separate this process in two parts due to the first part has an elevated computational cost needs to cross the totality of the data and like this if an error appears in this secon
17. e view for you can appreciate the differences between two 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual or more layers For example later on we see the same data as in past examples but now represented by intensity gySIG Sin titulo fe x Archivo Yer Capa Ventana Vista Ayuda DOG 46Ba o dcqx aexxe OB ON KF RG QO BE i BB cg z iu i s5SDEFi AT t v Vista Sin t tulo 1 Kef i Aplicaci n iniciada 1 12 114 v Metros k 350 115 33 F 4 737 798 07 EP5G 25830 The same happens with the height values each time that we click on the intensity button a new symbology is calculated and represented on the map view This can be used to search the best range possible for our needs e Paint the LIDAR data depending on the values from the classification table that appears in the LIDAR document For this button to be effective we Will need to Create a LIDAR document Define the classification that we want to use inside of the active LIDAR document that we want to use a Carrion ETRS89 000076 las Sin Clasificar Suelo vegetaci n Baja vegetaci n Media vegetaci n Alta Edificios Ruido B BH H H EH 5 5 HB NH O 2010 Dielmo 3D S L s XU DielmoOpenLiDAR 2 0 user manual ox fl s d MEE sid gvSIG Sin titulo Archivo Yer Capa Ventana Vista Ayuda Red meL S CQCSXXa MB eHsS Xx REGO oO BEF 6G zA oO SMFACTO Vis Vista Sin titulo
18. he LIDAR file and definite the resolution for the analysis of the execution of the flight described below 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE Pn a x DCUM S LiDAR Q Proyecto LIDAR ie Datos ee LIDAR RUTA SALIDA CONTROL CALIDAD Zonas de control Ortofoto C Documents and SettingstAjcarlosiMis documentos Mectariales CAMPO DE LA LINEA DE VUELO i Lp E r A EES User Bit Field RESOLUCION DE TRABAJO Em bz e INFO This panel is reserved to define the additional information like the worker of the data or the address of the Log file where all the information from the executed processes will be stored When we do click on Accept all the information from the routes is compiled in different formats LIDAR vectorial and Raster and the geographical extension that every file occupies Like this this information could be used from the view when we use the tool for load layers automatically Once we have defined the available data related with the LIDAR project we can come back to the view and work with this data easier and efficiently The new toolbar of LIDAR data tools available for the view in this second phase of the project is ELA i zi el v ro sm B 2010 Dielmo 3D S L s EX NM DielmoOpenLiDAR 2 0 user manual m d s d DEFOMENTO EE isi Now we are going to describe the new buttons that were not in the phase 1 Automatic Layers loader Prev
19. ine clicking on 2 points of the view and after moving the cursor from the line and clicking again we will define the depth of the profile Once we select our zone one window appears with the longitudinal profile of the points that we selected before For example in the following image we can see a longitudinal profile on two buildings and we can identify perfectly the points that are on the roof of the building points on the floor of the building and vegetation points O 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual pie DCUM gvSIG Proyecto Lidar clasificacion gvp Archivo Yer LIDAR Capa Ventana Tabla Vista Ayuda DOG i tasai SS qXWXsexxegqmm eas VEOH QA BE Rk O G S X bis A uem m V A clasificacio Inside of the graph the points are drawn depending of their classification according to the classification table defined in the active Lidar document If the points were not classified or we don t have any LIDAR document those will be drawn with the colour defined for the created class never classified In the next figure we can see another example of longitudinal graphic on an electric line In this case all the points are in the same colour because the LAS file is not classified 1 255 1 250 1 246 1 240 ae a mu 1 238 175 Weed STRE ae EYE 1 230 Altura 1 225 1 220 1 215 1 210 1 205 1 200 25 5 75 400 125 450 175
20. iously describing the first phase we have seen how to load one layer we needed to click on the add layer button and search the file address that we want to open This process seems easy when we are working with not too much information but if we want to work with all the LIDAR data of Spain for example it is not trivial In this case try to find the data that we need between all these files searching name by name will be a very slow process Because of this the first tool that we developed for this phase 2 of the project consists in this automatic layers loader Just with one click we can draw a rectangle inside of the view and a search will be done automatically between all the geographical data previously defined inside of the LiDAR document showing a window where we can choose which type of data we want to load in our project igvSIG P royecto_Lidar_clasificacion gvp Archivo Yer LIDAR Capa Ventana Vista Ayuda DeG 84s FS ccgqaxexxe TM OFN KF HOM GQ SIE gt Vista Sin titulo 0 Bi clasificacion tif Seleccionar_capas Documento LiDAR LIDAR Clasificacion AOI LiDAR Ajustados Ortofotos Aceptar Cancelar Fa amp C r ae oy v 3 i Aplicaci n iniciada 2 524 271 68 4 746 260 69 P5 23030 In the top part of the window we can see the name of the active LIDAR document from which document the geographical data will be taken If we would want to change the active LIDAR doc
21. lgorithms described are called automatically With this way we will obtain all this data just defining the entry data and the exit route in the LIDAR document for after call from the LIDAR menu these 3 steps 1 Previous data analysis 2 Height precision report 3 Flight execution analysis 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE Pn a Doh es 6 More information actualizations sample information In www dielmo com you can find e More information about LIDAR technology e Weekly actualizations with new functionalities e Sample data for start to manage the program e Tutorials for do quality controls e Future works prevision e How collaborate with the project etc 2010 Dielmo 3D S L
22. o obtain each one with a different random symbol 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE Pg Doh ME 3 Preferences configuration To enter in favourites it is necessary to go to window favourites menu or click the appropriate button on the screen and then select DielmoOpenLiDAR to see the next window Tama o m ximo de pixel 3 URL servidor perfiles LIDAR http server dielmo com 8080 LidarHttpServer ProfileServlet URL servidor de descarga de region LIDAR http server dielmo com 8080 LidarHttpServer BoxServlet Ruta donde descargar los datos C datos When we visualize LIDAR data on the screen depending on the scale of visualization the points are painted with different sizes For example when we are so far we could see one point for each pixel and when we are nearer the points will be painted bigger to obtain a better visualization The first parameter is the maximum size of the pixel that indicates the maximum thickness that the points will have This parameter is interesting when we want to superpose LIDAR data with orthophotos as we can adapt the thickness to have a better visualization On the other side we have 2 parameters to configurate where to do the profiles and download requests for each LIDAR region If we know any service that gives this opportunity we could do requests configuring these parameters Moreover if we want to save in a route the information that we download
23. olygons of the flight lines e Control Zones Here the address of the files that contains GPS survey that will be taken like control zones can be defined e Orthophotos Here it is possible to detail the address of the orthophotos of the zone It can be loaded up from the view 2010 Dielmo 3D S L 1 1 E g MINISTERIO DEL INSTITUTO DielmoOpenLiDAR 2 0 user manual DIE 4 9 T d MINISTERIO uu e Vectorial Here we can define the vectorial layers in any format that gvSIG can support associated to the study zone Also we can define a default legend for each one of the vectorial layers to load up these layers with this symbology e Parameters We can find it in the next image Here the addresses polygon shapefile that delimit the area to be processed are defined Also we can define the blocks of data that we are going to use blocks of 2x2 km in order for the information to be processed easier and the address where we want to save the results Furthermore we can indicate the resolution that we want in our final product and the overlap between blocks to obtain a perfect union after doing the mosaic of the final products This part also has a place for future algorithms and ways of work but we can already use it to define the area of interest LiDAR 0 fx Proyecto LIDAR 4 Datos ee AREA DE INTERES Clasificacion C idatosiAOL sh afd shp A adir Control calidad inl Infa BLOQUES a RLIT Cidatossali
24. rding to the specifications for example 1 Previous analysis of the information This algorithm uses a LIDAR layers list and generates a polygon in shapefile format that contains a rectangle with the geometrical extension from one of each LIDAR data Moreover every polygon will have an attached table with the file address information approximate square meter points density total number of points generated rectangle area and min and max heights All this information is got from the 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE Pn a Deh AES head board being generated very fast and is useful to know if we have all the data 2 To group points This algorithm takes vectorial layers in point format shapefiles and a distance in meters 50m default The result is one new vectorial layer of points with the same information and format but adding a new field with an ID All these points whose distance between them is lower than the distance wrote before will have the same ID The groups are enumerated by correlative order from the number one till the number of groups that we have in the file This algorithm is used internally for the height precision analysis 3 Height precision This algorithm uses one list of LIDAR layers one vectorial layer in shapefile format with control points one drop down menu for choose the field with the height information and one numerical parameter with the radius in meters to do the
25. rrion _ETR589 0000286 las Carrion ETRS89 000013 las Carrion ETRS amp 89 000014 las ex Carrion ETRS89 000015 las E Carrion _ETR589_000016 las Nombre de archivo Carrion _ETRS89_000015 las gvSIG LIDAR driver m 4 i ce Mis sitios de red Archivas de tipo qvSIa Dwa Memory Driver gv SIG DxF Memory Driver gv SIG GML Memory Driver gvSIG Image Driver qv SIG KML Memory Driver gv SIG Raw Image Driver gvSIG shp driver gvSIG LIDAR driver gt Mi ELO ancelar 1 4 On having opened a LiDAR file this will be added a TOC of the view like as vectorial points layer applying an alleatory colour for each layer Later on we will see how the 4 LIDAR files appear when we open it by default on gvSIG 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual pie UE gvSIG Sin titulo Archivo Ver Capa Ventana Vista Ayuda DOG 4Ba m dccasexxegqva ON KF xkNH O OF BE ari m v A Carrion ETRS89 i Default g A Carrion_ETRS89_ i Default w v A Carrion ETRS89 AM Carrion_ETRS89_ i Aplicaci n iniciada 1 112 114 v Metros kk 347 429 44 fr 4 738 201 92 EP5G 25830 To visualize LIDAR data with gvSIG the driver has a strategy that allows you to draw select and print the millions of points that can exist in a LIDAR file The strategy follows the idea that depending on the resolution that the user is visualizing in the LiDA
26. tion by classification This tool shows one window with a class list defined in the LIDAR active document From selected LIDAR points between one or several layers this tool applies a filter that leaves selected just the points from the selected classes 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual Seleccionar_capas Creado nunca clasificada No clasificado Yegetacion baja vegetacion media Vegetacion alta Edificio Punto bajo ruido i Madel key point mass point Agua Puntos solapados Make classification This tool shows the same window that in the previous situation with the list of classes defined in the active LIDAR document for after assigns the desired classification to the selected points between one or several layers from the active view This tool is only available when the LIDAR layers are in edition mode and when the level of zoom is high enough to draw all the points of the view 2 Longitudinal Profile This tool allows a deeper analysis of the data and as well does manual classifications or corrects the automatic classifications of the LIDAR data All these actions make it possible to do an adequate quality control The profiles tool is activated when in any LIDAR layer in the view and when we click this button we can define the region of LIDAR data for which we want to visualize the longitudinal profile For this the first action that we need to do is define a l
27. ument we can click on the A button that will be described in the next part 2010 Dielmo 3D S L DielmoOpenLiDAR 2 0 user manual DIE Pn a Doh The selection window from the automatic layers loader shows us a list with all the geographical data defined in the active LIDAR document that are inside of the coordinates that our drawn rectangle has We could select one or several and when we click on Accept this data will be added in the table of contents from the active view and we will visualize it super imposed on the rest of the information available Selection of the active LiDAR document from whom will be taken the enter exit data for load layers automatically or apply calculation algorithms This way of work allows us to define different LIDAR documents at the same time in the same gvSIG project and it is very useful to work with a temporal series of data from the same region For example the region of Guipuzkoa Spain has available Lidar data from 2005 and 2008 These files could be defined in one different LIDAR document and from the view we could select which year we prefer and study the evolution of the surface on this region The default active LIDAR data is the first on the list or the last used Later on we can see the window that appears when we click this button to select the document that we want to activate Seleccion del documento LiDAR activo Ed Documentos LIDAR ILiDAR Clasificacion b Selec
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Manual_DielmoOpenLiDAR_2.0_BN6.