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Cadastral Database Accuracy Enriching LOOI Kam Seng, CHAN Keat Lim, Mohd. Farid Al Azmi b. ISAHAK, Hazida bt. HAMZAH, YEAP Wei Chien and TAN Liat Choon, Malaysia (This article has not been published) Keywords: Cadastral reference mark, global navigation satellite system, least square adjustment, national digital cadastral database SUMMARY Previously, the cadastral database was in hardcopy map, then converted into digital format and subsequently updated seamlessly in eKadaster project. With the growth of geospatial based technology namely the Geographical Information System (GIS) and Global Navigation Satellite System (GNSS) the accuracy of the legacy cadastral database is inevitable. Principally, these legacy datasets have low positional accuracy caused by limitation of traditional measurement, adjustment technique and technology changes over time. In the past, absolute accuracy requirement was not precedence where only relative accuracy was emphasized. Since traditional cadastral measurement methods are based on relative positioning, the error propagation that exists in the cadastral database is inescapable. The management of cadastral database is very complex where it involves various categories of data accuracy because the source of legacy cadastral database comes from the different classes of observation accuracy. The objectives of this research are to enhance the accuracy of the cadastral database through the establishment of high accuracy Positional Reference Mark, towards the improved database accuracy, to perform angular based observation in cadastral database adjustment, and updating cadastral SQL database. Hence, the methodology involves devising standard operating procedure for GNSS control network establishment and enhancement, for cadastral data reduction and traverse survey adjustment as well as block adjustment, and for cadastral traverse survey and certified plan conversion from bearing to angle format. To achieve this, an extensive study on stochastic model will be carried out to ensure the expected outcomes of the improved cadastral database accuracy to prevail. Indirectly this will minimize the effects of low-quality observations on cadastral block adjustments. For that, the expected outcomes will be a new network for primary control network and block control network, a proposed stochastic model for observation in cadastral block adjustment, a new data acquisition and reduction procedures and perform a complete information for cadastral SQL database. On top of that, this research will speed up and contribute to the development involving land acquisition, land development, strata survey, underground survey and 3D Cadastral. In conclusion, based on the feedback from the users, the precision and accuracy of current National Digital Cadastral Database (NDCDB) is vary and inconsistent. Therefore, to solve these issues, the Department of Survey and Mapping Malaysia (DSMM) has adopted a new approach to the management of cadastral plans where the cadastral database is not only in digital format but also has good absolute positional accuracy. 1/14 LOOI Kam Seng, CHAN Keat Lim, Mohd. Farid Al Azmi b. ISAHAK, Hazida bt. HAMZAH, YEAP Wei Chien and TAN Liat Choon, Malaysia Cadastral Database Accuracy Enriching

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Page 1: Cadastr al Database Ac c ur ac y E nr i c hi ng

Cadastral Database Accuracy Enriching

LOOI Kam Seng, CHAN Keat Lim, Mohd. Farid Al Azmi b. ISAHAK, Hazida bt.HAMZAH, YEAP Wei Chien and TAN Liat Choon, Malaysia

(This article has not been published)

Keywords: Cadastral reference mark, global navigation satellite system, least squareadjustment, national digital cadastral database

SUMMARY

Previously, the cadastral database was in hardcopy map, then converted into digital formatand subsequently updated seamlessly in eKadaster project. With the growth of geospatialbased technology namely the Geographical Information System (GIS) and Global NavigationSatellite System (GNSS) the accuracy of the legacy cadastral database is inevitable.Principally, these legacy datasets have low positional accuracy caused by limitation oftraditional measurement, adjustment technique and technology changes over time. In the past,absolute accuracy requirement was not precedence where only relative accuracy wasemphasized. Since traditional cadastral measurement methods are based on relativepositioning, the error propagation that exists in the cadastral database is inescapable. Themanagement of cadastral database is very complex where it involves various categories ofdata accuracy because the source of legacy cadastral database comes from the differentclasses of observation accuracy. The objectives of this research are to enhance the accuracy ofthe cadastral database through the establishment of high accuracy Positional Reference Mark,towards the improved database accuracy, to perform angular based observation in cadastraldatabase adjustment, and updating cadastral SQL database. Hence, the methodology involvesdevising standard operating procedure for GNSS control network establishment andenhancement, for cadastral data reduction and traverse survey adjustment as well as blockadjustment, and for cadastral traverse survey and certified plan conversion from bearing toangle format. To achieve this, an extensive study on stochastic model will be carried out toensure the expected outcomes of the improved cadastral database accuracy to prevail.Indirectly this will minimize the effects of low-quality observations on cadastral blockadjustments. For that, the expected outcomes will be a new network for primary controlnetwork and block control network, a proposed stochastic model for observation in cadastralblock adjustment, a new data acquisition and reduction procedures and perform a completeinformation for cadastral SQL database. On top of that, this research will speed up andcontribute to the development involving land acquisition, land development, strata survey,underground survey and 3D Cadastral. In conclusion, based on the feedback from the users,the precision and accuracy of current National Digital Cadastral Database (NDCDB) is varyand inconsistent. Therefore, to solve these issues, the Department of Survey and MappingMalaysia (DSMM) has adopted a new approach to the management of cadastral plans wherethe cadastral database is not only in digital format but also has good absolute positionalaccuracy.

1/14LOOI Kam Seng, CHAN Keat Lim, Mohd. Farid Al Azmi b. ISAHAK, Hazida bt. HAMZAH,YEAP Wei Chien and TAN Liat Choon, MalaysiaCadastral Database Accuracy Enriching

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Cadastral Database Accuracy Enriching

LOOI Kam Seng, CHAN Keat Lim, Mohd. Farid Al Azmi b. ISAHAK, Hazida bt.HAMZAH, YEAP Wei Chien and TAN Liat Choon, Malaysia

1. BACKGROUND

Since 1985, the Department of Survey and Mapping Malaysia (DSMM) had embarked ontransformation programs that saw the dramatic computerisation of both office and fieldprocesses in its cadastral survey division as shown in Figure 1. As for the eKadastersystem, DSMM had stated implementing under the 9th Malaysian Development Plan(2006-2010) and keep upgrading towards the years.

Figure 1: Cadastral System Transformation

The Digital Cadastral Database (DCDB) was created in 1993 by means of Keyboard Entrymethod. It was developed from historical survey data (conversion from hardcopy CertifiedPlans to digital) as well as from current survey jobs. DCDB contains all informationobtained from cadastral survey jobs related to boundaries of land parcels. The source ofthe legacy cadastral database comes from the different classes of observation accuracywith the used of different accuracy of surveying equipment which only suitable at the timethe measurement was carried out since 1885. Coordinates in the DCDB were obtainedfrom several means and contain varying, unpredictable, and un-quantified errors.

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Under the eKadaster system starting from 2006 and continuing till date, a comprehensivenationwide readjustment of the meshwork of land parcels was carried out based on a newGeocentric Datum of Malaysia (GDM2000) for thirteen (13) states with approximately 7.6million land parcels; 21.2 million boundary marks and total area of 52,512 km2 as shownin Table 1. Thus, National Digital Cadastral Data Base (NDCDB) was developed. TheReal Time Kinematic Global Positioning System (RTKGPS) had seen the setting up of77,978 Cadastral Reference Marks (CRM) established as a control network for each areaas shown in Table 2. This control network plays a major role in providing reference forGPS control during DCDB adjustment process and the GPS stations have to coincide withDCDB boundary marks. In areas where this is not achieved, connections to boundarymarks are made so that formation of a controlled network can be established.

Table 1: Number of Land Parcels, Boundary Marks and Area

Table 2: Number of Cadastral Reference Mark (CRM)

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There are total of 2,891 adjustment blocks created following the reserved route as shownin Table 3 and an example of one of the thirteen (13) states is in Figure 2. The criteria forthis selection are to divide the cadastral land parcels without having common boundary toeach other’s. Every blocks is independent to other adjacent blocks with its own controlnetwork for adjustment. The approach of the establishment of high accuracy PositionalReference Mark (PRM) will be further explain in paragraph three.

Table 3: Adjustment Blocks

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Figure 2: Pahang State Blocks

2. OBJECTIVE

The aim of the block adjustment is to achieve the accuracy of ±5cm between the boundarymarks in the NDCDB to their respective physical location on the ground. To get thisresult, gross errors in the cadastral database must first be determined and excluded fromthe adjustment. Since 2010, block adjustment is continuously processed without givingprime concern to eliminate gross errors in the adjustment input file.

Owing to the lack of physical ground proofing available, the percentage of having theboundary marks in the NDCDB meeting the ±5cm accuracy is behind expectation. Thesurvey methodology developed in the eKadaster system is tapping the NDCDBcoordinated value as correct. Coordinated field acquisition and office checking procedureconstructed solely on the NDCDB was introduced.

Hence, the physical location of the boundary marks on the ground shall follow of that inthe NDCDB. Inconsistency accuracy of the NDCDB resulting the survey done on theground being rejected for not following the coordinated value in the database or more thanthe ±5cm tolerance when comparing to the respective boundary mark in the NDCDB.

This paper will highlight how the NDCDB coordinated value is enhanced gradually withthe legacy survey methodology still being used concurrently with the coordinatedmethodology for field data acquisition and office checking mechanism.

3. THE APPROACH

The establishment of high accuracy Positional Reference Mark (PRM) as the fundamentalnetwork is imperative to improve the adjustment quality and achieve the needed accuracy.The network based on GNSS technique is made to support the NDCDB accuracyenhancement. This will be in addition to the current available CRM as control points for

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block adjustment. There are currently sixty-five (65) RTK CORS Stations or zero-ordernetwork in the Peninsular Malaysia with the horizontal accuracy of ±4cm (KPUP 9/2005)as shown in Figure 3.

Figure 3: RTK CORS Stations in Peninsular Malaysia

These stations are used as PRM and the CRM established previously will tied to this PRMin order to strengthen the control network for adjustment. The establishment of CRM is acontinuing process with more to build within an adjustment block to improve the accuracyquality of the NDCDB.

Theoretically, the cadastral data observation is desired to be free of gross and systematicerror before it can be adjusted to achieve high accuracy database. The presence of errorpropagation that comes from previous measurements and observation weakness aresomething that are inevitable caused of the limitations and the accuracy equipment’s ofthe time. The main data of cadastral surveying is bearing and distance. Basically, bearingobservation is derived from the bearing control (Sun Observation / three (3) goodBoundary Marks) and the angles measurements.

The quality of the previous surveyed cadastral data need to re-determine and to resolve theissue by divided the cadastral database into smaller blocks for easy rectification.Ultimately, the cadastral SQL database need also additional information to support theadjustment and the analysis of the new cadastral blocks. The approach taken to heightenthe cadastral database consist of the following:

3.1 Creating Cadastral Reference Mark (CRM) Procedure

A uniform Standard Operating Procedure (SOP) for CRM establishment is needed.The SOP detailed out how the CRM need to be established and tie-up to the cadastralboundary marks and the PRM. The location of the CRM shall well distributed thewhole block to create a good geometry in adjustment as shown in Figure 4. Tie-upfrom the CRM to the cadastral boundary marks and PRM are mutually important. It ispreferred the CRM to be treated as occupied station in a closed traverse and tie to the

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adjoining block boundary marks as shown in Figure 5. Static post-processingobservation for CRM is done in at least one (1) hour period compare to thoseprevious CRM where the observation was only less than 10 minutes on RTK. Thestatic post-processing observation definitely will heighten the CRM accuracy (KPUP9/2005).

Figure 4: Planned CRM Location

Figure 5: Tie-up and Traversing Procedure for PRM and Cadastral Boundary Marks

3.2 Divide Cadastral Parcels To Smaller Block

For better adjustment control and error determination, the original 2,891 blocks arefurther divided into smaller blocks of 5,163 as shown in Table 4. The new blocks aredivided according to its cadastral plan as in Figure 4 compare to the previous whichfollowed the reserved route. This is to ease the plan by plan checking for data inputerrors. Smaller block and plan by plan checking will enable the detection andremoval of any data errors with ease and hence intensify the block accuracy.

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Table 4: New Adjustment Blocks

3.3 Identify Data Errors Within The Block

Adjustment is done with Least Square method and started with a single fixed todetermine the geometric network condition. Then follow by multiple fixed todetermine the possible data error. Since the fixed points used for previous adjustmentare in doubt, they are excluded from the adjustment input file (.dat) and the newobserved CRM fix points are applied. The new observed CRM fix points aredistributed well in the block as in Figure 6.

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Figure 6: New Observed CRM Fix Points

With the new observed CRM fix points, the displacement between the CRMcalculated coordinates and that in the NDCDB is determined as in Figure 7. Athorough checking is then performed by checking the excluded (hash) data in theadjustment input file with those in the plan or field observed data. The findingsshown that the data in the adjustment input file is wrongly keying-in compare to itsplan or field observed data value as in Figure 8. The process is repeating until thedata in the adjustment input file is in certainty.

Figure 7: Comparing Calculated and Adjusted Coordinates Value

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Figure 8: Wrongly Key-in Data In The Adjustment Input File

Subsequently after the possible data error is found and corrected the adjustmentprocess will repeat over until the accuracy of the block is met as expected withconfirmation from the ground proofing result. With the comparison result, theaccuracy status for the block is determined as in Figure 9. Block accuracy status is animportant tool for the surveyor in the field to determine the datum to start survey andto prove old marks in position for data acquisition.

Figure 9: Block Accuracy Status

3.4 Updating Cadastral SQL Database Structure With Additional Fields

The Cadastral SQL database structure is added with additional fields incorporatingthe surveyed area, bearing, distance and others from the surveyed plan. The purposeof keeping the original information from the surveyed plan is to enable systemcomparison of adjusted values with the original values as the surveyor in the field isusing the comparison of old and new values to perform the survey. Instead ofinserting the additional information manually, it can be performed by extracting the

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needed fields from previous DCDB database structure. Example of the cadastral SQLdatabase structure for boundary feature is as in Figure 10.

Figure 10: Cadastral SQL Database Structure For Boundary Feature

3.5 Field Data Acquisition And Office Checking Procedure

Currently the accuracy of the cadastral database does not meet the requirement of±5cm compare to its location on the ground. Since the office checking procedure isdesigned to follow the accuracy of the cadastral database (KPUP 6/2009), thus theadaptation of the previous survey data acquisition and office checking procedure needto be used in-line with the current coordinated procedure. If the survey area falls intothe block with the expected accuracy, then the current coordinated procedure(NDCDB) is used else the previous survey procedure (non-NDCDB) is applied(SPKPUP 1/2010). Thus, the block accuracy status as in Figure 9 is important todetermine which procedure to be used. The office checking mechanism (SUM andeQC) shall change to accommodate the use of NDCDB and non-NDCDB procedureas in Figure 11.

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Figure 11: Change Office Checking Mechanism

4. CONCLUDING REMARKS

The purpose of this paper is to give a brief understanding and an overview how theNDCDB accuracy is improved. The foremost important aspect to achieve the neededaccuracy of ±5cm is to have gross error free data for adjustment and not only dependingto the control networks density alone. Fundamental control network (PRM) is imperativeto strengthen the network adjustment. Regular ground proofing is vital to confirm theNDCDB accuracy and not only to the adjustment result alone. Smaller block adjustmentis recommended for ease of error determination and rectification but then adjustmentfrom whole to part is recommended. Since the NDCDB accuracy is still not within theaccepted requirement, the used of previous and current field data acquisition and officechecking procedure shall be in-parallel and determine by the surveyor in the field.

REFERENCES

Director General Circular Vol. 9/2005 (KPUP 9/2005). Malaysian RTK GPS Network(MyRTKnet) Guideline.

Director General Circular Vol. 6/2009 (KPUP 6/2009). Cadastral Survey Regulation 2009.

Director General Circular Letter Vol. 1/2010 (SPKPUP 1/2010). Survey issue in eKadasterenvironment and proposed solution.

Sr Ahamad Zakaria (2018). Digital Cadastral Database (NDCDB) In Selangor – The WayForward. GEO Smart Asia 2018. 9-11 April 2018. Adelaide, Australia.

BIOGRAPHICAL NOTES

Sr LOOI Kam Seng is currently the Director of Survey attached to Department Survey andMapping Malaysia (JUPEM). He first attached as Assistant Director with Department ofSurvey and Mapping, Penang. He received his Degree in Land Survey from UTM, in 1991.He is also a registered land surveyor since 2011 and a Subject Matter Expert in CadastralSurveying.

Sr CHAN Keat Lim is currently the Divisional Director of Survey for Cadastre Division. Hefirst attached as Assistant Director with Department of Survey and Mapping, Johor. Hereceived his Degree in Land Survey from UTM, in 1986 and Master in GeographicInformation System (GIS) from University of Nottingham, United Kingdom in 1996.

Sr Mohd. Farid Al Azmi B. ISAHAK is currently the Director of Survey attached toDepartment Survey and Mapping Malaysia (JUPEM). He first attached as Assistant Directorwith Department of Survey and Mapping, Johor. He received his Degree in GeomaticEngineering from UTM, in 2000 and Master in Science Geomatic, in 2016.

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Sr Hazida bt. HAMZAH is currently the Assistant Director of Survey attached toDepartment Survey and Mapping Malaysia (JUPEM) since serve as Government Servant, in2012. She received her Diploma in Land Survey from UTM, in 2008 and Degree in GeomaticEngineering from UTM, in 2011.

Sr YEAP Wei Chien is currently the Assistant Director of Survey attached to DefenceGeospatial Division, Department of Survey and Mapping Malaysia (JUPEM). He firstattached as Assistant Program Director of Survey with National Institute of Land and Survey(INSTUN) in 2005. He received his Bachelor of Engineering Geomatics in 2003 and Masterof Science Geomatic Engineering in 2010 from UTM, Skudai. He is the Subject MatterExpert in Geodetic (Coordinate System).

Sr Dr. TAN Liat Choon is currently the Senior Lecturer of University Technology Malaysia.He received his Certificated in Land Survey (1993) from Politeknik Kuching Sarawak,Malaysia, in 1993, Diploma in Land Survey from University Teknologi Malaysia (UTM), in1996, Degree in Land Survey from UTM, in 1998, Master in Land Administration andDevelopment from UTM, in 2002. In 2013, he received his PhD from UTM for his thesis on“Towards Developing a Three-dimensional Cadastre for Three-dimensional Property Rightsin Malaysia". His research interests focus on 3D property legislation and Land RegistrationSystem.

CONTACT

Sr LOOI Kam SengDepartment of Survey and Mapping MalaysiaWisma JUPEM, Jalan Semarak50578, Kuala LumpurMalaysiaTel: 603-26170870Fax: 603-26987114e-mail: [email protected]

Sr CHAN Keat LimDepartment of Survey and Mapping MalaysiaWisma JUPEM, Jalan Semarak50578, Kuala LumpurMalaysiaTel: 603-26170615Fax: 603-26170681e-mail: [email protected]

Sr Mohd. Farid Al Azmi b. ISAHAKDepartment of Survey and Mapping MalaysiaWisma JUPEM, Jalan Semarak50578, Kuala LumpurMalaysiaTel: 603-26170878

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Fax: 603-26170727e-mail: [email protected]

Sr Hazida bt. HAMZAHDepartment of Survey and Mapping MalaysiaWisma JUPEM, Jalan Semarak50578, Kuala LumpurMalaysiaTel: 603-26170678Fax: 603-26170727e-mail: [email protected]

Sr YEAP Wei ChienDepartment of Survey and Mapping MalaysiaDefence Geospatial Division, 2nd Floor, CAMS BuildingJalan Sultan Yahya Petra50578, Kuala LumpurMalaysiaTel: 603-26170703Fax: 603-2698 0505e-mail: [email protected]

Sr Dr. TAN Liat ChoonDepartment of GeoinformationFaculty of Built Environment and SurveyingUniversity Technology Malaysia81310, Skudai, JohorMalaysiaTel: 607-5543157Fax: 607-5545157e-mail: [email protected]

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