EARTHSCOPEAI

NASA Space Apps 2026

Detective
NASA Space Apps Challenge 2026: Be An Earth System Trend Detective!

Discover Earth's Hidden Trends

A scientifically credible, AI-assisted Earth observation and environmental trend intelligence platform. Extract authentic NASA satellite observations, detect regional divergence, and compute rigorous non-parametric statistics.

Launch Earth ExplorerOpen Investigation DashboardTrend Detective Mode
Variable Spectrum

WHAT is changing?

Atmospheric temperature, soil moisture, terrestrial water storage, vegetation canopy index, and precipitation.

Geospatial Scope

WHERE is it changing?

Regional aggregation across micro-climates, peninsular zones, arid deserts, and polar permafrost.

Magnitude & Rate

HOW MUCH is it changing?

Sen's non-parametric slope estimator, annualized median shift rate, and robust 95% confidence intervals.

Statistical Rigor

ARE changes significant?

Mann-Kendall rank test, tied variance corrections, exact p-values, and Benjamini-Hochberg FDR control.

Regional Contrast Capability

Same Variable. Opposite Regional Trajectories.

Global averages mask regional extremes. EarthScope AI detects when one region remains stable or cools while another diverges, backed by verified statistical rigor.

Region A — Tropical PeninsularLIVE NASA POWER

Tamil Nadu, India

Stable / No Trend (p = 0.925)

Authentic NASA POWER observations (2001–2023, 276 monthly records) show thermal stability. Seasonal Hirsch-Slack Mann-Kendall p = 0.9248 confirms absence of a statistically significant warming trend.

Seasonal Sen's Slope: +0.0010°C/year (95% CI: [-0.0255, +0.0275])
Hirsch-Slack Mann-Kendall: Z = +0.094, p = 0.9248 (Not Significant)
Data Completeness: 100.0% across 276 monthly observations
Region B — Arid SubtropicalLIVE NASA POWER

Rajasthan (Thar), India

Decreasing (-0.047°C/yr, p = 0.015)

Authentic NASA POWER observations for the identical 2001–2023 period demonstrate statistically significant cooling in winter/autumn monthly anomalies.

Seasonal Sen's Slope: -0.0469°C/year (95% CI: [-0.0840, -0.0089])
Hirsch-Slack Mann-Kendall: Z = -2.430, p = 0.0151 (Significant)
Two-Region Contrast: Z_diff = 2.039, p_diff = 0.0415 (Significant)
NASA Observation Catalog

NASA Earth Science Data Catalog

1 Live REST API endpoint (NASA POWER) + 6 calibrated demo models. Transparent provenance, calibration standards, and scientific citations preserved for every variable.

NASA POWER API

LIVE API CONNECTED
NASA Langley Research Center
T2M, Precipitation, Relative Humidity, Soil Wetness
Resolution: 0.5° × 0.625°

MERRA-2 Reanalysis

CALIBRATED DEMO MODEL
NASA GMAO / GES DISC
Surface Temp, Specific Humidity, Surface Pressure, Wind
Resolution: M2TMNXSLV v5.12.4

GLDAS Noah Land Surface

CALIBRATED DEMO MODEL
NASA GSFC / GES DISC
Topsoil Moisture (0-10cm), Runoff, Snow Equivalent
Resolution: 0.25° × 0.25°

MODIS Terra Indices

CALIBRATED DEMO MODEL
NASA LP DAAC / USGS
NDVI (Canopy Greenness), Enhanced Vegetation Index
Resolution: 0.05° CMG (~5.6 km)

GRACE / GRACE-FO

CALIBRATED DEMO MODEL
NASA JPL / PO.DAAC
Terrestrial Water Storage (TWS) Mascon Anomalies
Resolution: TELLUS RL06 JPL Mascons

GPM IMERG Precipitation

CALIBRATED DEMO MODEL
NASA PPS / GES DISC
Merged Satellite-Gauge Monthly Calibrated Rainfall
Resolution: 0.1° × 0.1° (~10 km)

AIRS Infrared Sounder

CALIBRATED DEMO MODEL
NASA JPL / GES DISC
Hyperspectral Atmospheric Temperature & Moisture Profiles
Resolution: 1.0° × 1.0° Grid
Evidence-Grounded Intelligence

AI Earth Scientist — Translating Numbers into Scientific Meaning

Never hallucinating numbers. The AI Earth Scientist digests the calculated Mann-Kendall p-values, Sen's slope confidence intervals, and lag-1 autocorrelation metrics to answer your questions in plain, rigorous scientific terms.

Consult AI ScientistDownload PDF Dossier