What is Earth Observation?

Earth Observation (EO) uses satellites and aerial sensors to measure the Earth’s surface over time. Instead of relying only on ground surveys, EO provides consistent, repeatable, and scalable monitoring across cities, farmland, forests, coastlines, and infrastructure projects.

With modern satellites such as the Sentinel series, we can derive meaningful indicators from multi-spectral bands and radar data — such as vegetation health, surface water, urban expansion, and land disturbance — and translate them into maps, reports, and decision support outputs for planning, monitoring, and investment.

After Before

Before and After: Flood Event Example

Floods Inundate Southern Mozambique (Source: NASA)

Introducing FloodSense™

FloodSense™ is EOPlatform’s flood watch and event review service, designed to help users monitor selected areas, map likely flood-related water expansion, and review before/after satellite evidence through an operational workflow.

By combining SAR, optical imagery, and baseline change detection, FloodSense™ supports more reliable flood mapping in cloud-prone environments such as the UK, where optical-only monitoring often struggles during severe weather.

The service is built around practical review and record keeping: select an area on the map, run the flood workflow, compare baseline and current imagery, inspect flood overlays, and keep a history of past runs for later review.

Satellite image Flood overlay

FloodSense™: Flood Highlight Overlay

EOPlatform FloodSense™ analysis

Flood Watch & Review

Monitor selected flood-prone areas and review likely flood extent through repeatable satellite workflows instead of relying on one-off manual checks after severe weather.

Before / After Comparison

Compare baseline and current SAR or RGB imagery with interactive sliders and flood overlays, making it easier to see what changed and where surface water expanded.

Operational Event History

Keep a traceable record of monitoring runs, settings, overlays, and result pages for later review, reporting, and future automation.

Multi-Index EO Change Analysis

Turn satellite imagery into insights, risk signals, and decision-ready outputs.

Connect and download the satellite band images from different dates of specific locations to generate a wide range of indices such as vegetation and water indices, then quantify how they change over time. Ideal for researchers, EO analytics, commercial needs, agricultural analysis, environmental protection, and investor-facing visualisations.

Core indices:

Vegetation & crop health: NDVI, IPVI, GNDVI, NDRE, CI-RedEdge, GCI, EVI2, SR, SAVI, MSAVI, ARVI, VARI.
Water & moisture: NDWI, MNDWI, NDMI, LSWI.
Soil / surface: BSI.
Fire / disturbance: NBR.

Yondar EO Lab Banner

Launched of Sentinel-2C

The third Copernicus Sentinel-2 satellite, Sentinel-2C, has launched aboard the last Vega rocket, flight VV24, from Europe’s Spaceport in French Guiana. The rocket lifted off on 5 September 2024 at 03:50 CEST (4 September 2024 22:50 local time).

AI Insight Engine

Our AI interprets multi-index changes across time to highlight meaningful patterns, not just Δheatmaps — generating plain-language insights for reports and decision-making.

Feature Identification

Automatically identifies surface patterns such as vegetation zones, water bodies, bare soil exposure, and burn scars — supporting faster screening and mapping workflows.

Predictions & Recommendations

Trend-based forecasting and early warning signals (e.g., stress, drought risk, disturbance), plus actionable recommendations tailored to agriculture, environment, and land monitoring.

Smart Alerts

Automatic early-warning detection for vegetation stress, water level changes, and unusual land-surface anomalies – helping identify issues before they become obvious in optical imagery.

Cloud-Proof Fusion Engine

The platform fuses optical indices with all-weather SAR signals to deliver more consistent monitoring, even in persistently cloudy regions.

Decision-Ready Outputs

Instead of just maps, the platform generates risk scores, summaries, and actionable recommendations tailored to farmers, foresters, water managers and environmental analysts.

Multi-Index Generation

Generate a broad range of vegetation, water, moisture, soil and disturbance indices from Sentinel-2 bands (e.g., B02/B03/B04/B05/B08/B11/B12), including NDVI, NDWI, NDRE, MNDWI, NDMI, BSI, NBR and more — enabling richer environmental interpretation beyond a single index.

Change Detection & Risk Maps

Compare two dates to generate ΔIndex heatmaps and classify pixels into gain, stable and loss zones – forming the basis for vegetation stress, flood risk or land-use change alerts.

Interactive Pixel Analytics

Hover over the change map to inspect individual pixels and read exact index values at T1, T2 and the ΔIndex, supporting deeper technical and scientific interpretation for reports and dashboards.