Tag Archive: geospatial data acquisition services

Use of Airborne LIDAR in Transmission Line Projects

The growing energy demand is an issue that power utility authorities incessantly face. The creation of new transmission lines is not always probable due to complications in acquiring rights-of-way and obtaining environmental approvals. Airborne LIDAR uses a precise laser scanning technology that offers decidedly accurate terrain and tower elevation data for the transmission line corridor. The advanced software tools allow the analysis of critical distances, obstacles identification, slackness calculation, catenary shape calculation, and location of structures besides allowing data to be exported to specialized engineering softwares.
GIS plays an important role regarding operation planning, data maintenance and design of transmission lines. A great amount of data is required for the operation and maintenance of data related to transmission lines, which includes property ownership data, corridor land use/land cover (LULC), transmission line situation and characteristics. The physical features of the lines and corridor LULC are determined during construction but has to be updated due to the constant change in surroundings during the lifetime. Automation of technological procedures involved in data collection, integration and processing will ensure increased efficiency in the management of the utilities. Dispensation of the data discusses to the production of complete topographic GIS products including their custom-made presentation and analysis.
LIDAR (Light Detection and Ranging) is a contemporary remote sensing technique for the collection of high density and accurate topographic data, which allows high-speed and economical data acquisition of power utility networks. LIDAR together with GIS technology offers efficient tools for database management and analysis.

Fig 1. LIDAR components

Fig 1. LIDAR components

Further to range measurements, some LiDAR systems are also adept in registering the intensity of the backscattered laser pulse. Intensity is defined as the ratio of strength of reflected laser to that of emitted laser, and is influenced mainly by the reflectance of the reflecting object (Song, 2002). Reflectance deviates with material characteristics so that different materials have different reflectance. Therefore intensity images may be supplementary information for a LULC classification. The merging of intensity images with Elevation information produces an image where features can be easily identified. Intrinsic to the collection process the above mentioned images are ortho-rectified images facilitating in the collection of required data for a GIS System. These ortho-images can be used as location image references to maintain or to update an existing GIS database.

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Figure 2 – (a) Intensity Image (b) Image obtained by fusing intensity information with elevation information.

Results of the managed LIDAR data consists of 3D information about cables, structures as well as all hindrances along the corridor in a form of a point cloud with X, Y, Z coordinates and intensity value. Post-processing actions are needed in order to classify features and to develop additional information. Ground and cable points are categorized using algorithms available in TerraScan software.

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Among the non-ground points power lines strings can be captured using top views and need to ensure that it connects all the towers. This classification is the result of analysis by an automated filter developed which detects all LIDAR hits returns from the power lines and can be categorized as wires. Towers were also can be detected in a similar way. Critical points can be detected along the transmission lines and exact height needs to be assigned to each object. 50m either side of the transmission lines can be considered for object search and exact height of the objects can be derived. The objects encountered will be houses and vegetation in general. A vegetation clearance report will help to details location of the critical points and its complete information.
LIDAR technology provides a well-organized collection of high density and accurate topographic data, being one of the most recognized cost-effective and high-speed method to such projects. Above and beyond the obstacles and vegetation along the corridor, the location and height of the prevailing towers can be derived precisely. The high density of the laser points enables accurate delineation of the cables as well as the derivation of the connection points. LIDAR in concurrence with GIS methodologies provides efficient database updating and analysis.

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Geospatial data analysis services

GIS Feature Extraction

GIS Feature Extraction

Any kind of developmental projects involves collection of certain amount of spatial and non-spatial data. Collection, analysis and deriving of useful inferences from these data sets are collectively called Geospatial data analysis. That being said Geospatial data analysis involved collection of spatial data, its digitization, and attributization, analysis and report generation. Geospatial data play a vital role from the pre-feasibility stage to the completion stage of the project and much beyond completion like long term environmental impact assessment.
GIS data processing starts with collection of geo spatial data set. Geospatial data can be any information or data having a spatial relation with it in the form of geographic coordinates. These can be satellite data, aerial data, LiDAR data, Unmanned Aerial Vehicle (UAV) data or paper maps. Once the data is acquired, it requires some amount of processing to bring it to the intended usage. Geo-referencing and other preprocessing is the activity involved at this stage of geospatial data processing. Data collected through remote sensing technique such as satellite images need satellite image processing expertise and knowledge.
Once the geospatial data is acquired and undergone all the preprocessing, the GIS data is ready for further analysis and processing. The spatial data analysis is generally included digitization and interpretation of useful information from the acquired geospatial data sets. Here need based thematic and subjective information is collected. This will be later taken for further refined interpretation. In the spatial domain vector data will be in the form of point, line and polygons. These data can be attributed with any kind of information in the form of tables and spread sheets. All the raster as well as vector data can be assembled in a spatial database, then predefined analyses such as over lay analysis, suitability analysis, analysis based Boolean logic etc can be performed on the data. Also in case of spatial data, analysis is possible in 2D as well as 3D environment.
SBL offers a wide range of Geospatial data analysis services. It ranges from simple geo-referencing to digitization to complex 2D and 3D model creation. SBL’s skilled technical staff is able to do all the pre-processing of the satellite images and other geospatial data analysis. SBL possess long term experience in processes and procedures involved with geospatial data acquisition services and is associated with international organizations who acquire geospatial data.

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