Services — Elistar Geomatics

Overview

What Is Geospatial Technology?

Geospatial technology captures, analyzes, and visualizes data tied to specific locations on Earth — transforming raw coordinates into actionable intelligence. Our pipeline spans four core stages, each building toward smarter, faster spatial decisions.

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Data Capture

Satellites, drones, LiDAR, GPS, and ground sensors collect precise location-linked data from the physical world.

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GIS Mapping

Geographic Information Systems organize spatial data into layered digital maps for analysis and planning decisions.

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Spatial Analysis

Algorithms detect patterns, measure distances, model terrain, and forecast changes across landscapes.

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AI Intelligence

Machine learning turns massive spatial datasets into smart insights enabling real-time decisions and predictions.

Highway Division

Highways & Road Infrastructure

Precise mapping and digitization of highway networks enables smarter road planning, maintenance, and safety management across national and state highway corridors.

Road Centerline Mapping — Accurate highway centerlines with chainage markers

Bridge & Culvert Inventory — Spatial records of all bridge structures and water crossings

Road Condition Survey — Pothole, crack, and surface defect mapping via mobile LiDAR

Traffic Sign Inventory — GPS-tagged road sign classification and attribution

ROW Mapping — Right-of-Way boundary digitization for encroachment detection

Core Tools

Mobile LiDAR Road Survey

Vehicle-mounted LiDAR captures 3D point clouds of entire highway corridors — roads, bridges, signage, utilities — at driving speed.

USE CASES: Corridor mapping · Road asset inventory · Pavement analysis

Photogrammetric Mapping

Drone and aerial imagery processed into high-resolution orthomaps for highway planning and land acquisition boundary marking.

USE CASES: Land acquisition · Design planning · Environmental studies

Highway GIS Database

End-to-end highway GIS database creation with all road assets, structures, pavement condition, and attribute data linked to spatial locations.

USE CASES: NHAI compliance · State PWD · Road safety audits

Cadastral Division

Cadastral & Land Base Digitization

Converting physical land records into accurate, queryable spatial databases for governance and land management.

📋 What is Cadastral Mapping?
The precise spatial recording of land parcels, ownership boundaries, and property rights — the legal and administrative foundation for land governance, taxation, and urban planning.

🗂️ What is Land Base Digitization?
Converting physical maps, paper records, and survey plots into geo-referenced digital layers — creating a living spatial database linking parcels to ownership, revenue, and land-use records.

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Parcel Boundary Digitization

Scanning and geo-referencing land survey maps to extract precise property boundary polygons.

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Survey No. Attributing

Linking survey numbers, khasra IDs, and plot numbers to digitized boundary polygons.

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Revenue Record Integration

Connecting RoR (Record of Rights), jamabandi, and ownership data to spatial parcel layers.

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Old Map Georeferencing

Rectifying historical cadastral sheets, SOI toposheets, and settlement maps to modern CRS.

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QA & Topology Check

Validating gaps, overlaps, slivers in boundary data to ensure topological integrity.

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GIS Database Delivery

Final delivery as ESRI Shapefile, GeoJSON, or RDBMS-ready formats with full metadata.

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LULC Mapping

Land Use & Land Cover mapping using high-resolution drone imagery — vegetation, water bodies, built-up areas, bare land.

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Utility Networks

Precision digitization of gas pipeline networks (IGL) and infrastructure — underground and surface utility records.

3D Reality Capture

Ground Survey & Laser Scanning

Ground survey and laser scanning technologies that create precise digital twins of the physical world.

Heritage Modeling

Complete interior and exterior 3D scanning of historic structures. Creates BIM-ready digital replicas for conservation and restoration planning.

TECH: 3D Laser Scanner · Photogrammetry · BIM

Mobile LiDAR Scanning

Vehicle-mounted LiDAR sensors capture millions of 3D points per second while driving. Delivers corridor maps, road inventories, and asset data at scale.

TECH: Mobile LiDAR · Point Cloud · SLAM

DGPS Survey

Differential GPS provides centimeter-level precision for ground control points. Essential for aeronautical surveys, boundary demarcation, and infrastructure alignment.

TECH: Differential GPS · RTK · Base-Rover

Topographical Survey

Comprehensive ground surveys capture precise feature marking and elevation data. Topographic maps guide civil engineering and land development projects.

TECH: Total Station · GNSS · DTM/DEM

Building Analytics Division

Building & Property Analytics

Aerial and satellite-based analysis of built environments — without site visits.

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📍 USA

Roof Damage Assessment

Temporal aerial imagery analysis compares before-and-after images to detect roof damage from storms, fire, or age. Used for rapid insurance claims processing.

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📍 Australia

Architectural Feature Extraction

Identification and attribution of detailed building properties — roof type, material, staircases, and entry points — from aerial imagery without site visits.

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📍 Australia

Urban Rooftop Digitization

High-precision building footprint extraction for urban planning. Creates accurate 2D/3D outlines of rooftops from aerial or satellite imagery.

Spatial Analysis Division

Proximity & Spatial Analysis

Proximity analysis measures spatial relationships and distances between geographic features. It answers questions like: "How many villages are within 10km of a bank branch?" or "Which areas lack healthcare access within 5km?"

📌 CASE STUDY — BANK PROXIMITY, INDIA

Spatial analysis for microfinance and government sectors. Radial zone mapping (10km, 25km, 35km) around bank branches helps identify underserved villages and optimize branch placement.

›Identified high-risk villages beyond 35km radius
›Optimized branch network for government banks
›Enabled field officer territory assignment
›Mapped PAR loans and active clients spatially

Spatial proximity analysis water resources

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Banking & Finance

Branch reach analysis, ATM placement, microfinance risk zoning

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Healthcare

Hospital coverage mapping, underserved area ID, ambulance routing

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Education

School enrollment zone planning, dropout-distance correlation

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Infrastructure

Road connectivity analysis, utilities expansion prioritization

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Agriculture

Market proximity for farmers, irrigation canal reach analysis

Web GIS Division

Web Map & Dashboard Creation

Interactive geospatial portals and analytics dashboards for real-time spatial decision making.

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Web GIS Portal

Multi-layer interactive maps with draw, measure, query & filter tools. Supports Shapefile, GeoJSON, KML.

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Analytics Dashboard

Real-time KPI panels, heatmaps, charts & spatial drill-downs for infrastructure, utilities and governance.

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Custom Map Viewer

Branded map portals with basemap switching, offline tile caching, and role-based access control.

NHEV Stations Interactive WebGIS Platform

Tech Stack

🔗 OpenLayers / Leaflet 📡 WMS / WFS / REST API 📈 Power BI / Grafana 🛰️ GeoServer / MapServer

USE CASES: City Gas Distribution (BlueView) · Highway Asset Monitoring · Urban Planning Portals · Utility Network Management · Land Record Dashboards · Disaster Risk Mapping

Automation Division

Automation & AI-Powered Workflows

Streamlining geospatial data pipelines from ingestion to delivery using smart automation and AI.

⚙️ Geospatial Process Automation

Automated Data Ingestion — Scheduled pull of satellite, drone, and sensor feeds into centralized data stores
Batch Processing Pipelines — Automated orthorectification, mosaicking, and point cloud classification at scale
QA & Validation Automation — Topology checks, attribute validation, and error reporting without manual intervention
Report Generation — Auto-generated PDF/Excel spatial reports triggered on data updates or schedules

🤖 AI & Machine Learning Integration

AI Feature Extraction — Deep learning models auto-extract roads, buildings, vegetation and land cover from imagery
Change Detection — Automated temporal analysis flags land-use changes, encroachments and damage events
LiDAR Point Cloud Classification — ML-driven ground/vegetation/structure separation for faster, more accurate point cloud products
Predictive Spatial Modelling — Risk zones, demand forecasts, and infrastructure need predictions using spatial ML models

Geospatial Services