Surveying Solutions.

Surveying Solutions. We are here to bring you solutions. Solutions in academics, and on the site at large. We're going to go through academic and professional activities. Thank you.

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Welcome to Surveying Solutions, your number one channel where you get Solutions to all your Surveying Problems. As a graduate of Surveying and Geoinformatics from the Federal School of Surveying, Oyo, I'm here to share my knowledge of the profession with you. Let's learn and share knowledge...

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18/08/2026

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In GIS, topology captures relationships such as connectivity, adjacency, and containment. For example, neighbouring cada...
17/08/2026

In GIS, topology captures relationships such as connectivity, adjacency, and containment. For example, neighbouring cadastral parcels should share a common boundary rather than overlap, and a road network should connect properly at intended intersections. A polygon with a gap, two parcels that unintentionally overlap, or a road that stops short of another road may represent topological errors even when the features appear visually acceptable. Topology rules therefore provide a way to enforce spatial consistency and improve the integrity of geospatial databases.

Hello In today's Tutorial https://youtu.be/LTw_m3d8APw, we used the stacked Sentinel-2 Data to Perform some RGB Combinat...
16/08/2026

Hello

In today's Tutorial https://youtu.be/LTw_m3d8APw, we used the stacked Sentinel-2 Data to Perform some RGB Combinations in QGIS.

Happy learning!

RGB Combinations of Sentinel 2 Data

In a conventional table join, two datasets are linked using a shared field such as an identification number. A spatial j...
16/08/2026

In a conventional table join, two datasets are linked using a shared field such as an identification number. A spatial join instead uses relationships such as within, intersects, contains, or nearest. For example, population polygons can be spatially joined to health facilities to determine how many facilities fall within each area, without requiring both datasets to share a common ID. Understanding this distinction is fundamental to GIS because much of spatial analysis depends on relationships created by location itself, not merely by attribute values.

In GIS, buffering is used to model proximity and spatial influence. A 500 m buffer around a road can identify nearby pro...
15/08/2026

In GIS, buffering is used to model proximity and spatial influence. A 500 m buffer around a road can identify nearby properties, while a buffer around a river can help delineate areas within a specified setback distance. However, the result depends on the coordinate system and units used. Creating a 500 m buffer in a geographic coordinate system measured in degrees is fundamentally different from creating one in an appropriate projected coordinate system measured in metres. The geometry may look reasonable while the measurement is wrong if the reference system is inappropriate.

Good cartography requires more than correctly positioned features. Visual hierarchy, symbolisation, colour, typography, ...
14/08/2026

Good cartography requires more than correctly positioned features. Visual hierarchy, symbolisation, colour, typography, scale, legend design, and map composition determine how easily a reader can understand the information. For example, a technically accurate map with competing colours, poorly sized labels, and no clear visual hierarchy may obscure the very pattern it was created to reveal. Cartographic design transforms spatial data into information that people can interpret and use.

A point cloud may contain millions of points acquired from LiDAR, photogrammetry, or laser scanning, with each point pot...
13/08/2026

A point cloud may contain millions of points acquired from LiDAR, photogrammetry, or laser scanning, with each point potentially carrying attributes such as intensity, colour, return number, classification, or acquisition time. These attributes allow the same dataset to support different applications, from terrain modelling and building extraction to vegetation analysis and deformation monitoring. Before processing a point cloud, it is therefore important to understand its acquisition method, coordinate reference system, point density, accuracy, and available attributes, not merely its size.

An echosounder measures the range from the transducer to the detected seabed, not elevation of the seabed directly. To o...
12/08/2026

An echosounder measures the range from the transducer to the detected seabed, not elevation of the seabed directly. To obtain a usable seabed elevation, the measured depth must be related to an appropriate vertical reference while accounting for factors such as transducer draft, vessel motion, water-level variation, and—in hydrographic surveying—tidal effects where applicable. This is why depth reduction is a fundamental part of bathymetric processing: an accurate sounding alone does not automatically constitute an accurate seabed elevation.

Unlike multibeam echosounders, which provide a swath of depth measurements across the seabed, a single-beam system gener...
11/08/2026

Unlike multibeam echosounders, which provide a swath of depth measurements across the seabed, a single-beam system generally records depth within a relatively narrow beam beneath the vessel. Consequently, the seabed between survey lines remains unsounded. Survey-line spacing must therefore be selected according to the survey objective, expected seabed morphology, required feature-detection capability, and applicable hydrographic specifications. Interpolation between widely spaced soundings cannot substitute for direct observation where significant seabed features may occur.

In geomatics, terms such as DEM, DTM, and DSM are often used interchangeably, although they can represent different surf...
10/08/2026

In geomatics, terms such as DEM, DTM, and DSM are often used interchangeably, although they can represent different surfaces. A DSM includes elevations of objects such as buildings and vegetation, while a DTM generally represents the terrain surface after removing such features. DEM is commonly used as a generic term for digital elevation data, and its precise meaning depends on the dataset and provider. Therefore, before using an elevation raster for hydrological modelling, visibility analysis, engineering, or terrain interpretation, it is important to establish exactly what physical surface the data represent.

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