Research Article | | Peer-Reviewed

Examining the Integration of Geographic Information Systems for Land Rights Confirmation in the Republic of Benin: A Comparative Analysis Using RTK NTRIP Data

Received: 24 August 2024     Accepted: 18 September 2024     Published: 19 September 2025
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Abstract

Geodetic sciences play a pivotal role in catalyzing socio-economic development and exerting a profound influence on our daily lives. These sciences proffer a multitude of methodologies for obtaining geographic coordinates of land parcels, thereby posing a precision challenge that is integral to effective land management and dispute mitigation. In a broader context, particularly within the unique landscape of Benin, where land is increasingly becoming a valuable commodity, the imperative to optimize land databases is pronounced. Attaining precision in coordinates stands out as a critical factor for effective land management, offering a proactive approach to mitigate potential land disputes. To streamline the process and reduce expenses associated with obtaining land titles for parcels, there is a need to explore strategies that efficiently minimize costs incurred by the array of stakeholders involved in the procedural framework. The focal point of this research is the exploration of the utilization of coordinates derived from openly accessible Geographic Information Systems in the formulation of boundary plans during the verification of land rights. Subsequent to this exploration, the acquired results are systematically compared with coordinates derived through direct field surveys employing the RTK NTRIP methodology. The outcomes infer that, notwithstanding the cadastre.bj website providing coordinates with a precision of four decimal places and being intricately linked to permanent stations, field surveys, despite their elevated cost, persist as the reliable modality for procuring coordinates with centimeter-level accuracy.

Published in American Journal of Science, Engineering and Technology (Volume 10, Issue 3)
DOI 10.11648/j.ajset.20251003.15
Page(s) 130-140
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Geodetic Sciences, Geographic Coordinates, Land Parcels and Land Management, Open Access Geographic Information Systems, Land Rights Confirmation, RTK NTRIP Method, Precision Coordinates

1. Introduction
The land registration process entails the execution of a contradictory survey and the formulation of a boundary survey report. Precision is of paramount importance, necessitating centimeter-level accuracy in the coordinates outlined on the contradictory survey plan. The adoption of topography and geodetic methods is deemed apt for acquiring precise coordinates, thereby ensuring that errors are confined within the specified range of ±20 cm .
The advent of precision mapping in the Republic of Benin has culminated in the establishment of an online platform, cadastre.bj. Serving as a pivotal repository for land information, particularly in urbanized regions, the platform provides users with the capability to capture coordinates of parcel vertices visible in satellite images, each coordinate delineated to four decimal places.
Within an economic context characterized by a relatively high cost of living and where property transactions hinge on the confirmation of land rights, obtaining land rights for a 500 m² plot commands a minimum investment of 300,000 FCFA ($600). It is worth highlighting that the formulation of a topographic survey plan in this process incurs a cost of at least 180,000 FCFA ($400). This raises the inquiry: Can geographic information systems' coordinates be effectively integrated into contradictory surveys to mitigate the expenses associated with topographic surveys?
2. Materials and Methods
2.1. Selection of Study Locations
The selection of study sites was systematically conducted, taking into account several pivotal parameters:
1. Land Area: The comprehensive size of each site;
2. Nature of the Land: The characterization of whether the land is enclosed by a fence, undeveloped, featuring a lightweight structure, or hosting a substantial building;
3. Plot Position Relative to a Permanent Station: In anticipation of acquiring direct coordinates using the RTK NTRIP method, we modulated the distance between the designated permanent station and the study sites accordingly.
Figure 1. Spatial Distribution of Sites in Relation to the Permanent Station in Cotonou.
Within the confines of Cotonou municipality, an urbanized locale, three sites were pinpointed. Simultaneously, in Abomey-Calavi municipality, an area devoid of urbanization, three sites were identified, each exhibiting diverse surface areas. The conspicuous visibility of all six sites on Google Earth and the cadastre.bj platform, coupled with their convenient accessibility, further underscores the efficacy of our site selection methodology.
Figure 1 depicts the spatial distribution of diverse sites in Cotonou and Abomey-Calavi in proximity to the permanent BJCO station situated in Cotonou. A thorough examination of the map offers valuable insights into the mean distance separating the measurement sites from the BJCO station. On average, sites in Cotonou are approximately 2 km from the permanent station, while those in Abomey-Calavi are, on average, situated around 21 km away.
2.2. Data Collection
2.2.1. Recording Vertex Coordinates Using Google Earth
Leveraging the Google Earth application, this study systematically identified parcels conducive to diverse survey methodologies. As articulated earlier, our selection methodology adhered to predefined criteria. It is imperative to underscore that, extending beyond the initial criteria, preference was given to plots manifesting distinct boundaries and structures discernible on the cadastre.bj platform. The designated sites, labeled A, B, C, D, E, F, G, H, J, K, and L, encompass a range of characteristics. Specifically, A, B, C, F, G, and H constitute undeveloped parcels, each enclosed by a masonry fence of varying dimensions. On the other hand, D, J, and K denote multi-story edifices, while E and L embody structures featuring lightweight roofing. The precise coordinates of the vertices pertaining to these selected entities were meticulously documented.
2.2.2. Capturing Summit Coordinates on Cadastre.bj
The aerial imagery disseminated by the cadastre.bj platform undergoes georeferencing within the framework of Benin's permanent station system (UTM31-N, WGS 84, ITRF 2005). This methodology confers the advantage of acquiring coordinates for cursor-indicated points directly within the requisite reference framework, obviating the necessity for subsequent data conversion or transformation procedures .
Given the pre-identification of land parcels, the subsequent process involved the meticulous documentation of summit coordinates. To augment precision, a maximum zoom level was applied, facilitating a more refined pinpointing of each summit. The resultant coordinates were systematically recorded in a tabular format.
2.2.3. Coordinates Obtained by Direct Measurement in RTK NTRIP Mode
The NTRIP mode stands as a networked framework designed for the transmission of GNSS correction data in RTCM format via the Internet protocol. Originating in Germany during the early 2000s, it has gained widespread application across diverse sectors, including topography, cartography, precision agriculture, engineering, and construction. NTRIP demonstrates versatility by facilitating the transmission of both differential correction data and various other types of GNSS data. Its primary application lie s in achieving real-time precision positioning, thereby fostering heightened operational efficiency and productivity .
The network of permanent GNSS stations in Benin encompasses seven strategic locations situated in Cotonou, Abomey, Parakou, Natitingou, Savalou, Nikki, and Kandi. In pursuit of modernizing Benin's geodetic infrastructure, the network underwent a substantial upgrade in 2022, affording it the capability to operate seamlessly in RTK NTRIP mode. Access to this advanced service is available free of charge upon request from the National Geographic Institute of Benin. The adoption of this mode or the georeferencing within the permanent station system facilitates operations within a coherent coordinate system, markedly contributing to the mitigation of boundary conflicts and property disputes .
The surveying of vertices across diverse plots was meticulously executed using a GNSS receiver in RTK NTRIP mode. This deliberate selection ensures the alignment of coordinates obtained on the cadastre.bj site with the same reference system utilized in direct survey measurements .
3. Comparative Analysis of Acquired Coordinates
3.1. Comparison of Coordinates Extracted from Google Map and Measured by GNSS Receiver
The table presented below includes the coordinates derived from the Google Earth application alongside the corresponding coordinates acquired through survey using RTK NTRIP mode.
Table 1. Deviation in X and Y Coordinates Between Surveyed Data in RTK NTRIP Mode and Google Earth Application.

Sites

Point No.

Number of Satellites Received by Rover

GNSS Survey in RTK NTRIP Mode (m)

Coordinates Extracted from Google Earth (m)

Discrepancies (m)

X

Y

X

Y

d X

d Y

Cotonou

A

A1

10/22

440704.387

704490.632

440678.899

704474.049

3.541

3.005

A2

12/30

440704.045

704470.656

440678.867

704443.341

4.005

1.254

A3

11/28

440687.253

704470.774

440678.867

704443.341

3.997

2.215

A4

10/28

440687.452

704490.855

440678.899

704474.049

3.550

3.021

B

B1

10/26

440765.783

704430.193

440740.246

704381.861

4.350

2.217

B2

14/31

440765.680

704410.111

440740.246

704381.861

1.078

0.214

B3

15/33

440743.196

704410.405

440740.277

704412.569

2.919

-0.214

B4

13/33

440739.561

704413.907

440740.277

704412.569

-0.716

1.338

B5

13/32

440739.755

704426.833

440740.277

704412.569

-0.522

2.478

B6

10/31

440743.311

704430.383

440740.277

704412.569

3.034

3.214

C

C1

13/31

440723.697

704407.719

440740.246

704381.861

0.795

4.007

C2

9/21

440709.954

704407.852

440740.246

704381.861

3.043

1.214

C3

13/34

440710.395

704430.729

440740.277

704412.569

2.145

2.214

D

D1

12/29

440724.597

704490.445

440709.620

704474.017

3.215

3.875

D2

10/25

440724.112

704470.997

440709.588

704443.309

4.024

1.047

D3

12/30

440704.045

704470.656

440678.867

704443.341

4.215

4.587

D4

10/22

440704.387

704490.632

440678.899

704474.049

3.215

0.581

E

E1

15/34

440510.333

704594.192

440494.667

704566.364

3.215

2.146

E2

31/34

440510.290

704583.892

440494.667

704566.364

1.211

1.214

E3

16/34

440471.232

704583.716

440463.946

704566.396

3.215

3.214

E4

15/33

440471.414

704594.628

440463.946

704566.396

1.257

0.560

Abomey-Calavi

F

F1

14/37

419372.811

713322.855

419370.486

713313.693

2.325

6.257

F2

12/36

419347.831

713320.071

419339.768

713313.737

8.063

2.961

F3

14/37

419346.188

713344.027

419339.812

713344.446

6.376

-0.419

F4

14/38

419371.120

713346.862

419370.530

713344.402

0.590

2.460

G

G1

10/25

419365.747

713419.421

419339.900

713405.864

5.245

2.214

G2

14/36

419366.867

713395.553

419339.856

713375.155

3.750

5.214

G3

12/35

419343.114

713392.002

419339.856

713375.155

3.258

4.214

G4

10/30

419340.944

713415.378

419339.900

713405.864

1.044

6.257

H

H1

10/25

418393.520

713502.388

418387.787

713499.362

5.733

5.782

H2

8/29

418395.920

713491.800

418387.787

713499.362

8.133

-7.562

H3

11/31

418382.937

713500.415

418357.070

713499.407

4.024

1.008

J

J1

12/30

418361.103

713431.185

418356.936

713407.279

4.167

-3.881

J2

12/30

418358.308

713424.160

418356.981

713437.989

1.327

4.856

J3

11/27

418350.842

713426.449

418356.936

713407.279

4.055

2.014

J4

11/30

418354.175

713434.426

418326.263

713438.033

7.254

-3.607

K

K1

9/35

419335.394

713296.012

419309.006

713283.072

6.245

5.254

K2

11/35

419336.509

713263.904

419308.962

713252.362

5.254

1.201

K3

14/35

419332.248

713263.535

419308.962

713252.362

3.215

0.248

K4

12/35

419330.437

713296.148

419309.006

713283.072

7.215

3.214

L

L1

10/35

419334.311

713320.606

419309.050

713313.781

5.214

2.715

L2

7/29

419334.461

713318.491

419309.050

713313.781

6.214

4.710

L 3

12/32

419334.739

713311.654

419309.050

713313.781

4.214

-2.127

L 4

10/31

419326.612

713310.633

419309.050

713313.781

3.214

-3.148

L5

14/36

419325.260

713317.080

419309.050

713313.781

7.125

3.299

L6

14/36

419324.873

713320.358

419370.486

713313.693

-1.857

2.145

Figure 2. Relative discrepancies in coordinates obtained through direct survey in RTK NTRIP mode compared to those derived from Google Earth along the X and Y axes in the Cotonou region.
The examination of the two graphs presented in Figure 2 indicates that, individually along the X and Y axes, discrepancies within the range of 0 to 5 meters in absolute value are observed. The mean deviation along the X axis is measured at 2.73 meters, while along the Y axis, it is recorded at 2.09 meters.
Figure 3. Relative discrepancies in coordinates acquired through direct survey in RTK NTRIP mode and those derived from Google Earth along the X and Y axes in Abomey-Calavi.
The graphs in Figure 3 delineate the disparities between coordinates directly surveyed on-site using RTK NTRIP mode and those extrapolated from Google Earth for the Abomey-Calavi locations. The initial graph represents discrepancies along the X-axis, exhibiting values spanning from 0 to 8 meters in absolute magnitude. Simultaneously, the second graph displays discrepancies along the Y-axis, with values fluctuating between 0 and 8 meters in absolute magnitude. The mean discrepancy along the X-axis is recorded as 4.60 meters, while along the Y-axis, it stands at 3.47 meters.
Figure 4. Absolute Discrepancy in Coordinates Acquired via GNSS Receiver in RTK NTRIP Mode and Extracted from the Google Earth Application in Cotonou.
Figure 5. Absolute Discrepancy in Coordinates Acquired via GNSS Receiver in RTK NTRIP Mode and Extracted from the Google Earth Application in Abomey-Calavi.
The graphs presented in Figures 4 and 5 delineate the absolute positioning disparities among the vertices of parcels at the Cotonou sites (Figure 4) and the Abomey-Calavi sites (Figure 5). In this context, the observed values span the intervals meters for locations within the municipality of Cotonou and meters for those in Abomey-Calavi. The average absolute discrepancies in the determination of vertex coordinates amount to 3.62 meters and 6.12 meters for parcels located in Cotonou and Abomey-Calavi, respectively.
Observation
The observed disparity between these two coordinate types does not conform to any discernible mathematical pattern. Moreover, the discrepancy in both the X and Y dimensions fluctuates within the range of 0 to 7 meters. This phenomenon can be elucidated by the inherent distinction in the coordinate systems employed by these two types.
3.2. Comparison of Coordinates from Cadastre.bj and Measured by GNSS Receiver
The table provided below illustrates the coordinates sourced from the cadastre.bj website alongside the coordinates acquired through on-site, direct field survey utilizing RTK NTRIP technology.
Table 2. Discrepancies in the X and Y coordinates obtained through RTK NTRIP survey method compared to those extracted from the cadastre.bj website.

Sites

No. of Points

Satellites Captured by Rover

Coordinates Extracted from Cadastre.bj (m)

GNSS Survey in RTK NTRIP Mode (m)

Discrepancies

X

Y

X

Y

dX

dY

Cotonou

A

A1

10/22

440704.458

704492.080

440704.387

704490.632

0.071

1.448

A2

12/30

440704.458

704471.799

440704.045

704470.656

0.413

1.143

A3

11/28

440687.458

704472.097

440687.253

704470.774

0.205

1.323

A4

10/28

440687.756

704492.676

440687.452

704490.855

0.304

1.821

B

B1

10/26

440765.530

704430.725

440765.783

704430.193

-0.253

0.532

B2

14/31

440765.232

704411.041

440765.680

704410.111

-0.448

0.93

B3

15/33

440742.565

704411.041

440743.196

704410.404

-0.631

0.637

B4

13/33

440739.284

704413.725

440739.560

704413.907

-0.276

-0.182

B5

13/32

440738.986

704428.041

440739.755

704426.833

-0.769

1.208

B6

10/31

440743.456

704431.023

440743.311

704430.383

0.145

0.64

C

C1

13/31

440723.728

704409.079

440723.697

704407.719

0.031

1.36

C2

9/21

440710.904

704408.780

440709.954

704407.852

0.95

0.928

C3

13/34

440710.903

704431.447

440710.395

704430.729

0.508

0.718

D

D

12/29

440725.157

704491.944

440724.597

704490.445

0.56

1.499

D 2

10/25

440724.859

704471.365

440724.112

704470.997

0.747

0.368

D3

12/30

440704.458

704471.798

440704.045

704470.656

0.413

1.142

D4

10/22

440704.458

704492.080

440704.387

704490.632

0.071

1.448

E

E 1

15/34

440511.068

704595.193

440510.333

704594.192

0.735

1.001

E2

31/34

440510.173

704584.158

440510.290

704583.892

-0.117

0.266

E3

16/34

440471.401

704584.792

440471.232

704583.716

0.169

1.076

E 4

15/33

440471.699

704595.231

440471.414

704594.628

0.285

0.603

Abomey-Calavi

F

F1

14/37

419369.750

713323.317

419372.811

713322.855

-3.061

0.462

F2

12/36

419345.890

713322.124

419347.831

713320.071

-1.941

2.053

F 3

14/37

419344.697

713345.984

419346.188

713344.027

-1.491

1.957

F4

14/38

419368.557

713346.879

419371.120

713346.862

-2.563

0.017

G

G1

10/25

419365.574

713419.055

419365.747

713419.421

-0.173

-0.366

G2

14/36

419366.171

713395.493

419366.867

713395.553

-0.696

-0.06

G 3

12/35

419342.609

713393.704

419343.114

713392.001

-0.505

1.703

G4

10/30

419341.715

713418.160

419340.944

713415.378

0.771

2.782

H

H1

10/25

418395.271

713503.675

418393.520

713502.388

1.751

1.287

H2

8/29

418398.253

713491.447

418395.920

713491.800

2.333

-0.353

H3

11/31

418383.937

713500.991

418382.937

713500.415

1

0.576

J

J 1

12/30

418363.067

713430.597

418361.103

713431.185

1.964

-0.588

J 2

12/30

418358.593

713424.333

418358.308

713424.160

0.285

0.173

J 3

11/27

418351.733

713426.421

418350.842

713426.449

0.891

-0.028

J 4

11/30

418355.014

713434.474

418354.175

713434.426

0.839

0.048

K

K 1

9/35

419335.917

713296.624

419335.394

713296.012

0.523

0.612

K2

11/35

419337.408

713261.133

419336.509

713263.904

0.899

-2.771

K3

14/35

419332.636

713260.834

419332.248

713263.535

0.388

-2.701

K4

12/35

419331.145

713296.922

419330.437

713296.148

0.708

0.774

L

L1

10/35

419335.733

713321.352

419334.311

713320.606

1.422

0.746

L 2

7/29

419335.435

713318.966

419334.4614

713318.491

0.9736

0.475

L3

12/32

419336.032

713311.509

419334.7386

713311.6542

1.2934

-0.1452

L4

10/31

419326.970

713310.344

419326.612

713310.633

0.358

-0.289

L 5

14/36

419326.075

713317.800

419325.260

713317.079

0.815

0.721

L6

14/36

419325.180

713321.080

419324.873

713320.357

0.307

0.723

L1

10/35

419335.733

713321.352

419334.311

713320.606

1.422

0.746

Figure 6. Relative discrepancies along the X and Y axes between coordinates acquired through direct survey using RTK NTRIP mode and those derived from the cadastre.bj website in the Cotonou region.
Figure 6 presents the observed discrepancies between the coordinates of vertices obtained through RTK NTRIP mode survey and those extracted from the cadastre.bj website along the X and Y axes. These variations fall within the range of 0 to 1 meter for the X component and 0 to 2 meters for the Y component. The mean discrepancy along the X axis is 0.39 meters, while along the Y axis, it is 0.97 meters.
The charts in Figure 7 reveal the differences in coordinates directly surveyed on-site using RTK NTRIP mode and those obtained from the cadastre.bj website for the Abomey-Calavi sites. The initial graph illustrates discrepancies along the X-axis, with absolute values ranging from 0 to 3 meters. The second graph displays discrepancies along the Y-axis, also with absolute values varying from 0 to 3 meters. The mean discrepancy along the X-axis is 1.13 meters, and along the Y-axis, it is 0.89 meters.
Figure 7. Relative discrepancies between coordinates obtained by direct survey in RTK NTRIP mode and those derived from the cadastre.bj website along the X and Y axes in Abomey-Calavi.
Figure 8. Absolute Discrepancy between Coordinates Obtained by GNSS Receiver in RTK NTRIP Mode and Extracted from the cadastre.bj Website in Cotonou.
Figure 9. Absolute Discrepancy between Coordinates Obtained by GNSS Receiver in RTK NTRIP Mode and Extracted from the cadastre.bj Website in Abomey-Calavi.
The graphs in Figures 8 and 9 depict the absolute positioning discrepancies of parcel vertices at the Cotonou sites (Figure 8) and the Abomey-Calavi sites (Figure 9). In this scenario, the values lie within the interval [0-2] meters for sites located in the municipality of Cotonou and within the interval [0-3] meters for those in Abomey-Calavi. The average absolute discrepancies in determining the coordinates of the vertices are 1.08 meters and 1.61 meters for parcels situated in Cotonou and Abomey-Calavi, respectively.
Observation
The absolute discrepancies observed between the coordinates acquired through the GNSS receiver in RTK NTRIP mode and those derived from the cadastre.bj website range within the interval of 0 to 3 meters. It is crucial to highlight the distinction between these values and those obtained in the preceding scenario. This variation can be elucidated by the fact that the data originating from the cadastre.bj website is georeferenced within the framework of permanent stations (UTM31-N, WGS 84, ITRF 2005).
The disparities noted in Abomey-Calavi occasionally surpass those documented at the Cotonou sites. This discrepancy is attributed to the length of the baseline, which fluctuates between the permanent station situated in Cotonou and the specific features surveyed in both Cotonou and Abomey-Calavi .
4. Conclusion
The comprehensive analysis of the findings reveals that the datasets acquired from the Google Earth application and the cadastre.bj website are insufficient for the accurate georeferencing of parcels within the established cadastre database in the Republic of Benin. The identified disparities exceed the defined tolerance interval (±20 cm) .
Even in instances where certain values of relative discrepancies along the X or Y axes from the cadastre website are below 10 cm (in absolute terms), it is crucial to acknowledge the inherent unreliability of this method. The absolute discrepancies in the coordinates of planar vertices fail to meet the stipulated tolerance criteria.
Nevertheless, a potential avenue for improvement exists if the cadastre.bj website database incorporates higher-resolution imagery. This enhancement could facilitate a more meticulous enlargement of visible elements, preserving clarity and offering the prospect of precise vertex delineation and data extraction.
Abbreviations

RTK

Real Time Kinematic

NTRIP

Network and Transport of RTCM via Internet Protocol

GNSS

Global Navigation Satellite System

WGS 84

World Geodetic System 1984

ITRF

International Terrestrial Reference System

UTM

Universal Transverse Mercator

Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] National Land and Property Agency. NLPA. Confirmation of land rights Available from:
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[3] Dardanelli, G.; Maltese, A. "On the Accuracy of Cadastral Marks: Statistical Analyses to Assess the Congruence among GNSS-Based Positioning and Official Maps. Remote Sens. "GNSS CORS Application vol 14, no. 16. 4086 pp. 1-21. 2022.
[4] Cahalane, Conor. "Combining 2D Mapping and Low Density Elevation Data in a GIS for GNSS Shadow Prediction" ISPRS International Journal of Geo-Information vol 4, no. 4: pp. 2769-2791. 2015.
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Cite This Article
  • APA Style

    Kossougbeto, B. K. P. K. P., Yessoufou, M. J., Adeoti, O. G., Ousseni, A., Houehanou, E. C., et al. (2025). Examining the Integration of Geographic Information Systems for Land Rights Confirmation in the Republic of Benin: A Comparative Analysis Using RTK NTRIP Data. American Journal of Science, Engineering and Technology, 10(3), 130-140. https://doi.org/10.11648/j.ajset.20251003.15

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    ACS Style

    Kossougbeto, B. K. P. K. P.; Yessoufou, M. J.; Adeoti, O. G.; Ousseni, A.; Houehanou, E. C., et al. Examining the Integration of Geographic Information Systems for Land Rights Confirmation in the Republic of Benin: A Comparative Analysis Using RTK NTRIP Data. Am. J. Sci. Eng. Technol. 2025, 10(3), 130-140. doi: 10.11648/j.ajset.20251003.15

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    AMA Style

    Kossougbeto BKPKP, Yessoufou MJ, Adeoti OG, Ousseni A, Houehanou EC, et al. Examining the Integration of Geographic Information Systems for Land Rights Confirmation in the Republic of Benin: A Comparative Analysis Using RTK NTRIP Data. Am J Sci Eng Technol. 2025;10(3):130-140. doi: 10.11648/j.ajset.20251003.15

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  • @article{10.11648/j.ajset.20251003.15,
      author = {Briac Kevin Patrick Kevin Patrick Kossougbeto and Moukadamou Joslin Yessoufou and Oyeniran Guy Adeoti and Arouna Ousseni and Ernesto Cabral Houehanou and Gerard Aniwanou and Ange Denagbe},
      title = {Examining the Integration of Geographic Information Systems for Land Rights Confirmation in the Republic of Benin: A Comparative Analysis Using RTK NTRIP Data
    },
      journal = {American Journal of Science, Engineering and Technology},
      volume = {10},
      number = {3},
      pages = {130-140},
      doi = {10.11648/j.ajset.20251003.15},
      url = {https://doi.org/10.11648/j.ajset.20251003.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20251003.15},
      abstract = {Geodetic sciences play a pivotal role in catalyzing socio-economic development and exerting a profound influence on our daily lives. These sciences proffer a multitude of methodologies for obtaining geographic coordinates of land parcels, thereby posing a precision challenge that is integral to effective land management and dispute mitigation. In a broader context, particularly within the unique landscape of Benin, where land is increasingly becoming a valuable commodity, the imperative to optimize land databases is pronounced. Attaining precision in coordinates stands out as a critical factor for effective land management, offering a proactive approach to mitigate potential land disputes. To streamline the process and reduce expenses associated with obtaining land titles for parcels, there is a need to explore strategies that efficiently minimize costs incurred by the array of stakeholders involved in the procedural framework. The focal point of this research is the exploration of the utilization of coordinates derived from openly accessible Geographic Information Systems in the formulation of boundary plans during the verification of land rights. Subsequent to this exploration, the acquired results are systematically compared with coordinates derived through direct field surveys employing the RTK NTRIP methodology. The outcomes infer that, notwithstanding the cadastre.bj website providing coordinates with a precision of four decimal places and being intricately linked to permanent stations, field surveys, despite their elevated cost, persist as the reliable modality for procuring coordinates with centimeter-level accuracy.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Examining the Integration of Geographic Information Systems for Land Rights Confirmation in the Republic of Benin: A Comparative Analysis Using RTK NTRIP Data
    
    AU  - Briac Kevin Patrick Kevin Patrick Kossougbeto
    AU  - Moukadamou Joslin Yessoufou
    AU  - Oyeniran Guy Adeoti
    AU  - Arouna Ousseni
    AU  - Ernesto Cabral Houehanou
    AU  - Gerard Aniwanou
    AU  - Ange Denagbe
    Y1  - 2025/09/19
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ajset.20251003.15
    DO  - 10.11648/j.ajset.20251003.15
    T2  - American Journal of Science, Engineering and Technology
    JF  - American Journal of Science, Engineering and Technology
    JO  - American Journal of Science, Engineering and Technology
    SP  - 130
    EP  - 140
    PB  - Science Publishing Group
    SN  - 2578-8353
    UR  - https://doi.org/10.11648/j.ajset.20251003.15
    AB  - Geodetic sciences play a pivotal role in catalyzing socio-economic development and exerting a profound influence on our daily lives. These sciences proffer a multitude of methodologies for obtaining geographic coordinates of land parcels, thereby posing a precision challenge that is integral to effective land management and dispute mitigation. In a broader context, particularly within the unique landscape of Benin, where land is increasingly becoming a valuable commodity, the imperative to optimize land databases is pronounced. Attaining precision in coordinates stands out as a critical factor for effective land management, offering a proactive approach to mitigate potential land disputes. To streamline the process and reduce expenses associated with obtaining land titles for parcels, there is a need to explore strategies that efficiently minimize costs incurred by the array of stakeholders involved in the procedural framework. The focal point of this research is the exploration of the utilization of coordinates derived from openly accessible Geographic Information Systems in the formulation of boundary plans during the verification of land rights. Subsequent to this exploration, the acquired results are systematically compared with coordinates derived through direct field surveys employing the RTK NTRIP methodology. The outcomes infer that, notwithstanding the cadastre.bj website providing coordinates with a precision of four decimal places and being intricately linked to permanent stations, field surveys, despite their elevated cost, persist as the reliable modality for procuring coordinates with centimeter-level accuracy.
    
    VL  - 10
    IS  - 3
    ER  - 

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