Geographic Information Systems (GIS) has become a powerful tool for governments, utility companies, and private organizations.
At JSAN consulting Group, we offer cutting-edge geospatial technology solutions to help you unlock the power of location-based data, digital mapping, conversion, Data capture, Data migration and maintenance, Data management & manipulation, Geo processing & spatial analysis, 3D Spatial modelling & visualisation and GeoAI. Our team of experienced GIS professionals is dedicated to providing comprehensive mapping, analysis, and visualization services tailored to your specific needs.
Our geospatial wizards master Geospatial AI-infused development across renowned platforms. We migrate, integrate, and standardize data seamlessly in Utility, Telecom, Urban, Real Estate, and Mining sectors.
Our GIS Developers, Network Capturing experts, and GIS Analysts are ready to guide your project. Beyond maps, we extend our landscape to integrate Platform, ERP, and Testing solutions, setting apart with a distinct solution set.
STREET VIEW (FIELD) DATA COLLECTION
Street View data collection refers to the process of capturing and collecting imagery and geospatial location data of road networks, buildings, and other features from street-level perspectives. This data is typically collected by vehicles equipped with multiple cameras mounted on the roof, which capture 360-degree panoramic images at regular intervals and other sensors that drive on public roads and collect geographical information. The cameras are synchronized with GPS receivers to record the precise location of each image.
Street View data is commonly used in mapping applications, navigation systems, urban planning, and various other applications that require detailed and accurate representations of the physical environment.
Overall, street view data collection plays a crucial role in creating detailed and accurate maps, aiding navigation systems, providing visual context for businesses and landmarks, and assisting in various applications like urban planning, transportation management, and virtual tourism.
INDOOR & OUTDOOR PEDESTRIAN MAPPING
Indoor and outdoor pedestrian mapping involves capturing and representing detailed spatial information about pedestrian pathways, points of interest, and other relevant features in both indoor and outdoor environments. It aims to provide accurate and comprehensive maps that enable users to navigate and explore these spaces efficiently.
Here’s a breakdown of indoor and outdoor pedestrian mapping:
Indoor pedestrian mapping focuses on capturing and representing the layout and features of indoor spaces, such as buildings, shopping malls, airports, and museums. The process typically involves the following steps:
- Data Collection
Indoor pedestrian mapping data is collected using specialized techniques and technologies, such as laser scanning, indoor positioning systems (IPS), or manual mapping. Laser scanning captures detailed 3D point cloud data of the indoor environment, while IPS relies on sensors, Wi-Fi, or Bluetooth beacons to track user positions.
- Data Processing
The collected data is processed to create accurate representations of indoor spaces, including floor plans, corridors, rooms, stairs, elevators, and points of interest. This involves data filtering, noise removal, data fusion, and alignment of multiple scans or sensor readings.
- Mapping and Visualization
The processed data is used to create detailed indoor maps that depict the layout, pathways, and points of interest within buildings. These maps can be rendered in various formats, such as interactive digital maps for mobile apps or web-based platforms, or static floor plans for signage and way finding purposes.
Outdoor pedestrian mapping focuses on capturing and representing pedestrian pathways, sidewalks, crosswalks, and other outdoor features such as parks, plazas, and landmarks. The process typically involves the following steps:
- Data Collection
Outdoor pedestrian mapping data is collected using various techniques, including GPS-based mapping, mobile mapping systems, aerial imagery, and satellite imagery. GPS receivers and inertial measurement units (IMUs) are used to capture location coordinates, heading, and other relevant data.
- Data Processing
The collected data is processed to create accurate representations of outdoor pedestrian pathways and features. This may involve georeferencing the data to align it with a reference map or coordinate system, removing noise or inaccuracies, and integrating additional information such as street names and addresses.
- Mapping and Visualization
The processed data is used to create detailed maps that depict pedestrian pathways, crosswalks, landmarks, and other outdoor features. These maps can be rendered in various formats, such as digital maps for navigation systems, web-based maps, or printed maps for public distribution.
Pedestrian mapping has numerous applications, including:
- Navigation and Wayfinding:
Pedestrian maps help users navigate through complex outdoor and indoor environments, providing directions, information about points of interest, and real-time positioning.
- Urban Planning
Pedestrian mapping data is used in urban planning to analyze pedestrian flow, identify areas of congestion, and optimize the design of walkways and public spaces.
- Accessibility
Pedestrian maps can assist individuals with disabilities in finding accessible routes and facilities within buildings and public spaces.
- Location-based Services
Pedestrian mapping data is used by location-based service providers to deliver targeted information, promotions, and recommendations to users based on their location and preferences.
- Emergency Response
Pedestrian mapping data aids emergency responders in quickly locating and navigating within buildings during rescue operations.
AERIAL MAP DATA COLLECTION
Aerial map data collection involves capturing high-resolution imagery and other geospatial information from an elevated perspective using aerial platforms, such as airplanes, helicopters, drones, or satellites. Aerial mapping is widely used for creating detailed and up-to-date maps, conducting environmental assessments, monitoring land use changes, and supporting various applications that require accurate spatial data. Here’s an overview of the aerial map data collection process:
Depending on the specific requirements and objectives of the mapping project, appropriate sensors are selected. These may include digital cameras, LiDAR (Light Detection and Ranging) systems, thermal sensors, or multispectral sensors. Flight planning involves determining the optimal flight paths and altitude to capture the desired coverage area with the required level of detail.
Aerial data is acquired by capturing imagery or sensor readings from the selected aerial platforms. This can involve flying the aircraft in a systematic grid pattern, following predefined flight paths to ensure complete coverage of the target area. The sensors onboard the aircraft capture images or collect other data, such as elevation measurements or thermal readings.
To ensure accuracy in the aerial map data, ground control points (GCPs) are established on the ground. These GCPs have known locations and are used as reference points to tie the aerial imagery or sensor data to the Earth’s coordinate system. Additionally, GPS (Global Positioning System) and IMU (Inertial Measurement Unit) data collected during the flight are used to determine the precise position, orientation, and attitude of the aircraft.
The acquired aerial imagery or sensor data is processed using specialized software. This includes orthorectification, which corrects the distortions caused by the terrain and the sensor’s perspective to create accurate, georeferenced images. If LiDAR data is collected, it is processed to generate point clouds or 3D models of the terrain. Different data sources, such as imagery and LiDAR, can be fused to create composite datasets with enhanced spatial information.
The processed aerial map data is analysed and used to generate various types of maps and geospatial products. This can include orthophotos (georeferenced aerial images), digital elevation models (DEMs), 3D models, contour maps, land cover maps, and other derived products. Mapping software is employed to analyse and extract valuable information from the aerial data.
Aerial map data undergoes quality control measures to ensure accuracy, completeness, and consistency. This involves checking for image alignment, data integrity, and adherence to project specifications. Validation may include ground truthing, where field surveys or ground-based measurements are conducted to verify the accuracy of the aerial data.
Cadastral Mapping
Cadastral mapping, also known as cadastral surveying or land surveying, involves the creation and maintenance of maps and records that depict the boundaries, ownership, and legal descriptions of land parcels within a jurisdiction. Cadastral maps are used for land management, property taxation, land registration, urban planning, and various other purposes. Here’s an overview of the cadastral mapping process:
The cadastral mapping process begins with boundary surveying, where licensed surveyors physically measure and mark the boundaries of individual land parcels. This involves using specialized surveying equipment, such as total stations or GPS receivers, to establish precise coordinates and reference points.
Alongside boundary surveying, surveyors conduct legal research to gather information about property ownership, historical records, deeds, titles, and any relevant legal documentation. This information is essential for accurately describing the land parcels and establishing their legal boundaries.
The surveyors collect field data, including measurements, reference points, and other relevant information, which is used to create a cadastral database. This database contains the spatial and attribute data associated with each land parcel, such as parcel boundaries, area, ownership details, and any encumbrances or restrictions.
Using computer-aided design (CAD) or geographic information system (GIS) software, the collected data is used to create cadastral maps. The survey measurements and property descriptions are integrated into the mapping software, and the parcel boundaries are drawn and georeferenced to align with a coordinate system or reference framework.
Cadastral maps and databases require regular maintenance and updating to reflect changes in land ownership, survey data, subdivisions, mergers, or any other modifications to the land parcels. This involves incorporating new survey data, updating ownership information, and ensuring the accuracy and currency of the cadastral information.
Cadastral mapping is often integrated with land administration systems, such as land registries or land information systems, to provide a comprehensive platform for managing land-related information. This integration enables efficient land registration, property transactions, and the retrieval of cadastral information by government agencies, surveyors, and the general public.
Utility mapping
The intelligent use of data has become the key to efficiently managing daily operations in any modern utility. Increase your operational efficiency by becoming a real data-driven utility, relying on qualitative data, an optimal environment, and efficient processes.
JSAN consulting Group offers wide range of services for water, gas, electric, or district heating utilities covers both the Geospatial intelligence and engineering support domain. We not only support production, but also transmission (TSO) and distribution (DSO) companies across the world.
Utility mapping, also known as underground utility mapping or subsurface utility engineering (SUE), involves the identification, location, and mapping of underground utilities such as water pipes, gas lines, electrical cables, telecommunications infrastructure, and other subsurface infrastructure. Utility mapping is crucial for infrastructure planning, construction projects, maintenance, and avoiding accidental utility damage. Here’s an overview of the utility mapping process:
The initial step in utility mapping is reviewing existing utility records and documentation. This involves gathering information from utility companies, public agencies, construction plans, as-built drawings, and any available historical records. These records provide a starting point for understanding the location and characteristics of underground utilities.
Utility locating involves using various methods and technologies to detect and locate underground utilities. This step may include techniques such as electromagnetic induction (using utility locators), ground-penetrating radar (GPR), acoustic methods, or vacuum excavation. Utility locating equipment helps identify the approximate position and depth of buried utilities.
Once utilities are located, the data is collected and compiled to create a comprehensive utility map or database. This can involve recording measurements, capturing geospatial coordinates, and documenting other relevant attributes such as utility type, size, material, and condition. The collected data is then integrated into mapping software or a geographic information system (GIS) to create accurate utility maps.
To ensure the accuracy and reliability of utility mapping, quality control measures are implemented. This may involve cross-referencing collected data with existing records, conducting on-site inspections, and validating the mapping results. Quality control processes help identify discrepancies, errors, or missing information that may require further investigation or data refinement.
The utility mapping data can be integrated with other geospatial data sets, such as topographic maps, land parcels, or infrastructure networks, to provide a comprehensive view of the subsurface environment. GIS software enables analysis, visualization, and querying of the utility data, allowing stakeholders to make informed decisions and plan construction projects effectively.
Utility mapping is an ongoing process, as underground infrastructure changes over time. New utility installations, modifications, repairs, or decommissioning of utilities require regular updates to the utility maps and databases. Timely updates ensure that the utility information remains accurate and up-to-date for future projects and maintenance activities.
LiDAR Mapping
LiDAR (Light Detection and Ranging) mapping involves capturing highly accurate distance measurements by using laser light to detect and measure objects on the Earth’s surface. LiDAR is widely used in topographic mapping, vegetation analysis, infrastructure planning, and many other applications requiring precise elevation data. Here’s an overview of the LiDAR mapping process:
Selecting suitable LiDAR sensors and planning flight paths based on project needs.
Capturing LiDAR data from airborne or terrestrial platforms for detailed elevation measurements.
Ensuring spatial accuracy using GCPs, GPS, and IMU data for precise alignment.
Converting raw LiDAR data into point clouds and integrating with other datasets.
Extracting and analyzing specific features like vegetation and infrastructure.
Conducting quality checks to ensure data accuracy meets project standards.
