AI Bhoomi
Climate Shock Engine
NASA POWER Soil Moisture Risk Engine

Climate risk reading from live backend signals, not static demo numbers.

This page now reads from the new backend endpoints for climate prediction and soil moisture. It combines weather, rainfall stress, temperature stress, and soil-water conditions into a single operational shock view.

POWER
Climate Feed
SMAP-ready
Soil Layer
45d
Risk Horizon
READY
Backend Status
Run Analysis
Sources shown in this page:
Esri World Imagery for high-clearance base mapping, NASA GIBS for latest science overlays, NASA POWER for climate variables, backend soil-moisture scoring, and AI Bhoomi climate heuristics.
Field Geotagging

Draw land boundary and tag the location

Map Ready

Mark a field polygon or place a point. The dashboard calculates the centroid, reverse-geocodes the coordinates, and brings village, tehsil, district, nearest IMD center, and climate signals into one decision view.

Zoom 5 / Esri 19 / GIBS 9
65%
Auto Location Tracking
Ready
Auto Update Loop
Every 10 minutes
Geotag Snapshot
Village
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Tehsil
-
District
-
State
-
Field Label
Draw a polygon to tag the land.
Operational Mapping
Centroid
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Nearest IMD Center
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Nearest OSCAR Station
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Geotag Source
-
MMGIS Visual Monitor

Live monitor imagery inside the dashboard

Open Full MMGIS

This panel brings MMGIS imagery into the climate dashboard so farm context, GIBS overlays, plastic-waste tracking, and chemical-waste tracking can be reviewed in one operational surface.

Bridge Status
Loading
Archive Dates
-
Monitor Layers
-
Priority Imagery Tracks
Visual Layer Summary
Overall Climate Shock

Decision Layer

0
Score
Drought
0
Minimal
Flood
0
Minimal
Yield
0%
Factor 0.00
Advisory
Run the analysis to get live advisory text from the backend.
Operational Metrics
Past Temp Mean
-
Past Rain
-
Future Rain
-
Temp Trend
-
Soil Moisture Layer
Surface Moisture
-
Rootzone Moisture
-
Water Stress
-
Status
-
Soil Health Card
SMAP Ready
Moisture Anomaly
-
Flood Saturation
-
Health Score
-
Data Source
-
Soil Health Reading
Run the analysis to generate a soil-health interpretation from moisture, anomaly, and saturation signals.
SMAP / Soil Source Legend
NASA-fed / SMAP mode

Use this when the backend source shows `SMAP` or another live NASA-connected soil feed. These values represent real satellite-driven soil conditions.

Offline baseline mode

Use this when the backend source shows `offline-baseline`. The card still stays operational, but values are fallback placeholders for testing and UI continuity.

Current note: the dashboard will label the active soil source after each climate run.
Source Reading
Esri + GIBS Map

Esri gives the sharp satellite base while GIBS adds latest Earth-observation overlays such as true color, NDVI, precipitation, and temperature.

NASA POWER + Soil

Historical and forecast climate context combines with the new soil-water stress contract and is ready for SMAP integration.

AI Bhoomi Predictor

Combines rainfall, temperature, humidity, soil stress, and crop-specific yield factors.