Skip to content
Anora

What we offer

Urban Analytics

Satellite-based mapping, modelling and monitoring for Urban Local Bodies. Land-use baselines, growth scenarios, heat island assessment, solar suitability and infrastructure planning.

Satellite view of a city with a high-resolution detail inset over the built-up area
Move cursor to inspect
Urban fabric at two resolutions. The detail inset is the scale at which built-up extent is classified.
Example: how this service runs
foundational
Where has the city grown?

“Where has the city expanded over the last two decades?”

Change detection

Decadal land-use change record including pressure-boundary identification and sprawl mapping.

modellable
Where is the city growing?

“Where is growth heading, and where will it conflict?”

Growth scenario modelling

Simulated urban growth to 2035 / 2040 under business-as-usual and policy variants; conflict mapping with constraints and intensity scores.

decisional
How should it grow?

“Which growth scenario performs best, and at what cost?”

Strategic planning support

Ranked growth scenarios based on economical and ecological costs.

Where the city grew over two decades, where it is heading, and which growth scenario performs best.

5 service modules
Growth, heat, solar, green space, infrastructure
4 classification levels
From broad land use to building footprints
5+ months
Growth scenario modelling, Dehradun scale
Heat island
4 to 6 weeks, Delhi scale
City to state scale
Automated pipelines, cost-efficient repeats
Scheme-aligned
AMRUT 2.0, PM GatiShakti, Smart Cities
Domain expertise

Service overview

Urban Local Bodies are required to plan, invest and report against central scheme requirements, but most lack current spatial data on land use, infrastructure, environmental risk and growth. Decisions about where to build and what to protect are made without knowing what is on the ground, what has changed, and what is coming.

Anora Intel delivers a modular set of spatial products built from satellite data, ground validation and expert analysis. Every project produces a GIS dataset as its foundation, with reports, dashboards and scenario models on top, structured for reuse across departments and for updates over time.

Service modules

Urban growth scenario modelling

Safe urban expansion planning

Projects expansion to 2030 and 2040, identifies growth corridors that avoid flood, landslide and ecological risk, and estimates the infrastructure demand they will generate.

Urban heat island assessment and solutions

Climate-resilient urban design

Thermal satellite data maps surface temperature and finds heat-stressed neighbourhoods. Interventions are modelled before they are built: the projected cooling from green roofs on a specific set of buildings, for example.

Solar suitability mapping

Renewable energy site selection

Building-level rooftop solar potential from roof geometry, shading, material and orientation. Shows which buildings pay back and which are overshadowed.

Green space and vegetation monitoring

Environmental impact assessment

Green cover distribution, health and change over time. For urban forestry planning, park prioritisation and biodiversity corridors.

Utility and infrastructure mapping

GIS-based planning submissions

Satellite data combined with ground survey and municipal records into GIS-ready utility network maps. Recent records shrink the survey requirement.

Applications

Evidence base for master planning

GIS-integrated master plans under AMRUT 2.0 and PM GatiShakti depend on current, verified spatial datasets. We deliver the data and the scheme-aligned documentation.

Safe development siting

Growth scenarios show where new townships and infrastructure can be developed safely, keeping investment out of flood plains, landslide corridors and ecologically sensitive zones.

Development conditioning

Site-specific conditions for development approval: green roofs required in identified heat island zones, construction restricted in high flood-risk areas.

Intervention effectiveness monitoring

Before-and-after satellite monitoring shows whether interventions, from green roofs to drainage upgrades, had the expected effect on temperature, runoff or vegetation.

Reusable datasets across departments

One spatial analysis serves multiple departments and reporting cycles: a land-use map made for planning can also feed Smart Cities Mission dashboards and AMRUT 2.0 documentation.