GeoRetinaDocs

Risk & Conservation Analysis Overview

3 min read · Last updated Jun 30, 2026

GeoRetina AI turns satellite imagery, gridded forecasts, hazard surfaces, and environmental datasets into risk, exposure, conservation, and monitoring outputs. You describe the decision question in chat, attach or select the region, then inspect the result on the map and in the artifacts panel.

Single-period land-cover mapping result with class chart and map

Supported Workflows

WorkflowUse it forTypical outputs
Land Use/Land Cover MappingCurrent land-cover composition and class area summaries.Landscape baseline, class chart, class area metrics.
Land-Use/Land-Cover ChangeMulti-year or period-to-period landscape change.Trend charts, timeline maps, change summaries for planning or conservation review.
Vegetation MonitoringNDVI/EVI trends, vegetation stress, and inspection priorities.Index maps, trend charts, hotspot polygons.
Remote Sensing Flood Risk AssessmentGlobally available first-pass relative flood susceptibility screening.Risk index map, risk-class composition, component drivers.
Physics-Based Flood Risk & OSM Feature ExposurePrepared-location flood depth, risk classes, and exposure for requested OSM features where coverage exists.Flood-depth surfaces, exposed OSM features, attribute tables.
Wildfire SusceptibilityCurrent or specified wildfire susceptibility probability and exposed features.Susceptibility maps, class charts, exposure summaries.
Physical Risk ScreeningProperty, site, or investment screening across hazards such as flood, wildfire, drought stress, and heat.Risk score, dominant hazard, hazard evidence, caveats.
Forest Loss & Driver AttributionForest-loss extent and likely disturbance drivers.Loss maps, driver charts, summaries.
Urban Heat Island AnalysisSurface-temperature hotspots and urban heat trends.Heat maps, time-series summaries, hotspot interpretation.
Weather ForecastingMedium-range forecast layers and atmospheric context.Forecast maps, charts, weather summaries.
Air Pollution AnalysisPollutant concentration mapping and temporal summaries.Pollution maps, statistics, hotspot summaries.

Standard Workflow

  1. Select or draw a region of interest.
  2. Choose Core for fast map-layer output or Super for deeper report and follow-up-ready output.
  3. Ask for the risk, exposure, conservation, or monitoring output with the relevant time period, return period, pollutant, or index.
  4. Inspect the map layer, legend, chart, or table.
  5. Reuse the generated asset for follow-up questions, reports, or exports.
Layer management controls and legend

Prompt Examples

Land-cover trend

Show land-cover composition for @study_area from 2018 to 2025.

Vegetation stress

Analyze NDVI trends for @forest_blocks and identify stress hotspots.

Global flood screen

Run remote-sensing flood risk assessment for @site_boundary.

Wildfire

Map current wildfire susceptibility for @wildfire_audit.

Interpreting Results

Risk and conservation outputs should be read with the layer legend, chart, and source context together. A color on the map tells you where a condition appears; the chart or table tells you how much of it exists; the chat response explains the result and limitations.

For decision-grade work, use Super mode to create a report, then ask follow-up questions against the generated analysis assets.