Geospatial AI for land, buildings, farms and infrastructure in India. What is there, what surrounds it, what it is exposed to and what changed, from satellite and open data, with the source behind every answer.
13,701 buildings around Bandra–Kurla Complex, sampled as 2,10,000 height points
Heights: Google Open Buildings 2.5D, 2023 (model estimate)
Forty towers around Bandra–Kurla Complex, registered from open building data and scored for proximity to the Mithi River. This is the real GeoVista app, recorded as-is.
Recording of the GeoVista app · data: Overture Maps footprints and water, Google Open Buildings 2.5D heights (estimates) · basemap tiles not shown in this recording
Upload a layer or pick buildings on the map. Each becomes one record with geometry, attributes and sources.
Exposure, surroundings, vegetation and change are computed by audited GIS tools, never estimated by the model.
Scores come with inputs, dates, method, confidence and limitations, and export to PDF, Excel, CSV or GeoJSON.
Footprint: Overture Maps · height and year: Google Open Buildings 2.5D Temporal
Recording of the GeoVista app: map workspace, risk methodology and report · basemap tiles not shown in this recording
Results carry the datasets, dates and method that produced them. If no tool computed a figure, GeoVista does not show one.
Model outputs such as building heights or change detections are marked as estimates, separate from field-verified observations.
Exposure scores list each hazard layer, its weight and distance, confidence with reasons, and the limitations that apply.
Rishikesh–Haridwar in real Sentinel-2 scenes from 2018, 2021 and 2024, draped on 30 m elevation data. Drag the timeline.
Start with your own sites. Every answer comes with its source.