What we offer
Urban Analytics
Satellite-based mapping, modelling, and monitoring for Urban Local Bodies — from land-use baselines to growth scenarios, heat island solutions, solar suitability, and infrastructure planning.
Service overview
Urban Local Bodies across India are required to plan, invest, and report against central scheme requirements — yet most lack current, comprehensive spatial data on land use, infrastructure condition, environmental risk, and growth trajectories. Decisions about where to build, what to protect, and which interventions to prioritise are routinely made without knowing what is actually on the ground, what has changed, and what is coming.
Anora Intel combines satellite data with ground validation and expert analysis to deliver a modular set of spatial products adapted to the specific decision each engagement needs to support. Every project produces a GIS dataset as its foundation — reports, dashboards, and scenario models are built on top. All outputs are structured for reuse across departments and updates over time.
Service modules
Urban growth scenario modelling
Where should new townships be located to avoid flood, landslide, and ecological risk while remaining economically viable? Scenario-based modelling projects expansion trajectories to 2030/2040, identifying safe growth corridors and the infrastructure demand they will generate.
Urban heat island assessment and solutions
Maps surface temperature distribution across the city using thermal satellite data, identifies heat-stressed neighbourhoods, and models the impact of specific interventions — quantifying, for example, a projected surface temperature reduction from targeted green roof installation on identified buildings.
Solar suitability mapping
Renewable energy site selectionBuilding-level assessment of rooftop solar potential, accounting for roof geometry, shading from neighbouring structures, construction material, and orientation. Identifies which buildings offer the strongest return on investment and which are unsuitable due to overshadowing.
Green space and vegetation monitoring
Maps green cover distribution, health, and change over time. Supports urban forestry planning, park prioritisation, and biodiversity corridor identification including eco-sensitive zones such as wildlife movement corridors.
Utility and infrastructure mapping
Integrates satellite data with ground survey and existing municipal records to produce GIS-ready utility network maps. Where recent records exist, ground survey requirements are reduced accordingly.
How we work
Every engagement begins with a land-use and land-cover baseline at the appropriate classification level — from broad categories like urban, forest, and water through to individual building footprints, roof materials, and tree canopy. Ground validation and calibration fieldwork is conducted for every engagement, the extent of which is reduced where recent municipal records or infrastructure maps already exist.
Satellite data sources include optical, thermal, lidar, and radar imagery. Analysis is performed by IIT Bombay-trained domain specialists, and automated processing pipelines make repeat analysis cost-efficient.
Maps and models are designed for periodic update. Broad land-use maps can be refreshed every three years at marginal cost. Infrastructure maps such as drainage networks are updated as new assets are added and verified annually.
How we work
Every engagement begins with a land-use and land-cover baseline at the appropriate classification level — from broad categories like urban, forest, and water through to individual building footprints, roof materials, and tree canopy. Ground validation and calibration fieldwork is conducted for every engagement, the extent of which is reduced where recent municipal records or infrastructure maps already exist.
Satellite data sources include optical, thermal, lidar, and radar imagery. Analysis is performed by IIT Bombay-trained domain specialists, and automated processing pipelines make repeat analysis cost-efficient.
Maps and models are designed for periodic update. Broad land-use maps can be refreshed every three years at marginal cost. Infrastructure maps such as drainage networks are updated as new assets are added and verified annually.
Applications
Evidence base for master planning
GIS-integrated master plans required under AMRUT 2.0 and PM GatiShakti depend on current, verified spatial datasets. Urban Analytics delivers the underlying data and the scheme-aligned documentation.
Safe development siting
Growth scenario modelling identifies where new townships and infrastructure can be developed safely — avoiding flood plains, landslide corridors, and ecologically sensitive zones before investment is committed.
Development conditioning
Risk-informed planning outputs support site-specific conditions for development approval — for example, requiring green roofs in identified heat island zones, or restricting construction in high flood-risk areas.
Intervention effectiveness monitoring
Before-and-after satellite monitoring provides verifiable proof that implemented interventions — green roofs, drainage upgrades, green space additions — have had the expected effect on surface temperature, runoff, or vegetation cover.
Reusable datasets across departments
One spatial analysis can serve multiple departments and multiple scheme reporting cycles. A land-use map produced for a planning department can simultaneously support Smart Cities Mission dashboarding and AMRUT 2.0 documentation.
Typical outputs
Outputs are designed for decision-makers and scheme administrators, not remote sensing specialists. Every engagement delivers a GIS dataset as its foundation, with additional products built on top depending on the scope.
- GIS maps and spatial layers — attributed datasets ready for integration into master planning platforms and scheme documentation
- Growth scenario reports — planning briefs identifying safe development corridors, risk zones, and infrastructure demand projections
- Interactive dashboards — live or periodically updated views of land-use change, heat distribution, solar potential, or vegetation health
- Intervention models — quantified projections of the impact of specific measures such as green roofs, reflective surfaces, or drainage upgrades
- Scheme-aligned documentation — structured reports meeting the specific evidence requirements of AMRUT 2.0, PM GatiShakti, Smart Cities Mission, and related programmes
Anora Intel’s services are designed around the requirements of India’s central government schemes. See our scheme alignment →
Engagement model
Engagements are scoped to the specific decision the client needs to support — a single module such as a heat island assessment can be delivered independently, or modules can be combined into a comprehensive urban intelligence programme.
Where existing municipal records are available — road networks, drainage maps, building registries — timelines and ground survey requirements reduce accordingly. A growth scenario modelling engagement that would typically take five months can be shortened by two to three weeks when a current road network map is provided.
Outputs are structured for reuse and periodic update from the outset, so the investment in the first engagement compounds over time rather than needing to be repeated in full.
Ready to talk about your context?
If your question fits this service or sits alongside it, we can help shape a clear scope and practical outputs.
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