Off-Nadir Delta
Reference

Satellite Data Sources

Every data source behind the Map, the Watchfloor, and Delta Agent — what it is, how sharp it is, how often it refreshes, and how to credit it. All open data, all in your browser.

Quick answer — which data sources are available

Imagery — Sentinel-2 optical (10 m, 13 bands), Sentinel-1 C-band SAR (10 m, VV/VH), NISAR L-band SAR (10 m, HH/HV, provisional calibration), VIIRS nighttime lights (NASA Black Marble, ~500 m), and NASA FIRMS active fire (375 m, daily). Event intelligence — worldwide news-event signals via the GDELT Project (with links to original sources), GDACS tropical cyclones, Open-Meteo weather/observability, and OpenStreetMap · NASA GIBS basemaps, all AI-enriched and geolocated (no human review). You can also upload your own GeoTIFF, COG, or GeoJSON data.

Satellite Imagery

Sentinel-2 Optical

Optical

ESA Copernicus Programme

High-resolution multispectral optical imagery. Thirteen spectral bands from visible through near-infrared and shortwave infrared make it the workhorse for vegetation, land cover, and water analysis.

Resolution

10 m (visible/NIR)

Bands

13 spectral bands

Revisit

~5 days (constellation)

Level

L2A surface reflectance

Typical uses: True color and false color composites, NDVI / EVI / NDWI vegetation and water indices, crop and forest monitoring, land-cover change.

Attribution: Contains modified Copernicus Sentinel data [year]

Open Sentinel-2 Viewer

Sentinel-1 C-Band SAR

Radar

ESA Copernicus Programme

C-band Synthetic Aperture Radar that images the surface day or night and sees straight through cloud, smoke, and light rain. Delivered as GRD products in VV and VH polarizations.

Resolution

~10 m (IW mode)

Polarization

VV, VH

Revisit

6-day repeat cycle

Frequency

C-band, 5.405 GHz

Typical uses: Flood mapping, surface-change detection, vessel detection, and all-weather monitoring where optical imagery is blocked by clouds.

Attribution: Contains modified Copernicus Sentinel data [year]

Open Sentinel-1 SAR Viewer

NISAR L-Band SAR

Radar

NASA / ISRO, distributed by ASF DAAC

L-band Synthetic Aperture Radar from the joint NASA-ISRO mission. Its ~24 cm wavelength penetrates vegetation canopy that C-band radar only sees the top of, reaching branches, trunks, and the ground beneath. Delivered as geocoded covariance (GCOV) products in HH and HV polarizations.

Resolution

10 m (frequency A)

Polarization

HH, HV

Revisit

12-day repeat cycle

Frequency

L-band, 1.239 GHz

Typical uses: Forest structure and biomass, flooding under tall canopy, and change detection where C-band loses coherence over vegetation.

Note: The public NISAR collection is provisionally calibrated. Backscatter values should be read as indicative rather than measured.

Attribution: Contains NASA/ISRO NISAR data processed by ASF DAAC

Open NISAR L-Band Viewer

VIIRS Nighttime Lights

Nighttime

NASA Black Marble (VNP46A2)

The VIIRS Day/Night Band measures visible light at night. NASA Black Marble products are calibrated and atmospherically corrected, turning city lights into a proxy for human activity.

Resolution

~500 m

Product

Black Marble VNP46A2

Revisit

Daily

Sensor

VIIRS Day/Night Band

Typical uses: Tracking urban development and electrification, estimating economic activity, and detecting power outages after disasters.

Attribution: NASA Black Marble VNP46A2

Open Nighttime Lights

NASA FIRMS Active Fire

Active Fire

NASA FIRMS

Near real-time thermal fire detections from VIIRS and MODIS. Hotspots are updated daily and overlaid directly on the map — no account or API key required to browse.

Resolution

375 m (VIIRS), 1 km (MODIS)

Latency

Near real-time, daily

Sensors

VIIRS, MODIS thermal

Cost

Free to browse

Typical uses: Wildfire situational awareness, monitoring fire spread, and correlating thermal anomalies with events on the Watchfloor.

Attribution: NASA FIRMS

Open Active Fire Map

Your Own Data

Bring Your Own

Uploaded by you

Bring GeoTIFF, Cloud-Optimized GeoTIFF, or GeoJSON files and combine them with satellite imagery on a single map. Your data stays alongside the open sources for custom analysis.

Raster

GeoTIFF, COG

Vector

GeoJSON

Use

Overlay with satellite layers

Reference

OpenStreetMap basemaps

Typical uses: Overlaying field boundaries, custom AOIs, survey results, or third-party rasters together with Sentinel and VIIRS imagery.

Attribution: You retain ownership of uploaded data

Upload Your Data

Event, Weather & Context Data

What powers the Watchfloor, Delta Agent, and Reports — the news-event stream, its original sources, hazards and weather, the reference basemap, and how signals are enriched and geolocated.

Global Event Signals

Event Intelligence

GDELT Project (open data)

A continuous, worldwide stream of geolocated event signals distilled from global news media. This is the backbone of the Watchfloor, Delta Signals, the daily Reports, and the Event Intelligence API.

Update

Continuous (~15 min feed)

Latency

Minutes to hours

Coverage

Global, multilingual

License

GDELT open data

Typical uses: Discovering emerging events, screening a region or topic, and deciding what to confirm with satellite imagery. Dates are news-reported days (not verified occurrence).

Attribution: Event data derived from the GDELT Project

Open the Watchfloor

Original News Sources

Source Links

Global news media

Every signal links back to the originating news article(s) so a judgment can be traced to its source, and Reports cite these directly. Where several outlets cover an event, the most authoritative is shown.

Update

Per event

Sources

One or more per event

Access

Public article URLs

Rights

Held by each publisher

Typical uses: Verifying a signal against its origin, and following a Key Judgment to the reporting behind it. Link availability and source reliability vary by event.

Attribution: Article rights held by their publishers

Tropical Cyclones

Hazards

GDACS (EC JRC / UN)

Active tropical-cyclone tracks and alert levels, overlaid on the map for maritime and coastal situational awareness.

Update

As alerts are issued

Coverage

Global active storms

Type

Tracks + alert level

License

GDACS open data

Typical uses: Anticipating disruption to shipping, ports, and coastal infrastructure, and pairing storm tracks with imagery tasking.

Attribution: Cyclone data courtesy GDACS (EC JRC)

Weather & Observability

Weather

Open-Meteo

Cloud-cover and visibility outlook used to judge whether an event can realistically be imaged by optical satellites — the observability signal behind collection recommendations.

Update

Hourly forecast

Type

Cloud cover, visibility

Nature

Forecast, not observation

License

CC BY 4.0 (Open-Meteo)

Typical uses: Deciding between optical and all-weather radar for a target, and flagging events that clouds would obscure.

Attribution: Weather data by Open-Meteo.com (https://open-meteo.com/), CC BY 4.0, using DWD ICON and NOAA GFS models.

Basemap, Place Context & Coastline

Reference

OpenStreetMap · NASA GIBS

OpenStreetMap provides the reference basemap and place context; NASA GIBS serves the daily global browse layers (VIIRS, active fire) rendered on the map. OpenStreetMap land polygons also supply the coastline used to mask land in Ship Detection, with Natural Earth as a fallback.

Basemap

OpenStreetMap

Coastline

OSM land polygons · Natural Earth fallback

Browse tiles

NASA GIBS

Update

OSM continuous · GIBS daily

License

ODbL · Natural Earth public domain · NASA open

Typical uses: Orienting a signal to nearby places, infrastructure, and coastlines; excluding land from maritime vessel detection; and providing daily global context imagery.

Attribution: © OpenStreetMap contributors · NASA GIBS

AI Enrichment & Geolocation

Processing

Off-Nadir Delta (automated)

Raw news events are automatically classified (category, severity, GEOINT relevance), geolocated with a confidence flag, linked to their sources, and matched to a recommended sensor and resolution. There is no human in the loop.

Steps

Classify · geolocate · link · recommend

Review

Automated, no human review

Confidence

Per-signal geolocation flag

Limits

Can mis-classify / mis-locate

Typical uses: Turning a raw news event into a decision-ready signal with a sensor recommendation. Treat outputs as decision support, not confirmed fact.

Attribution: Enrichment by Off-Nadir Delta

Read the methodology & limitations

Attribution & Licensing

All satellite sources come from free and open programmes. When you export or publish imagery, include the relevant attribution below.

Sentinel-1 & Sentinel-2

European Space Agency (ESA) Copernicus Programme

"Contains modified Copernicus Sentinel data [year]"

VIIRS Nighttime Lights

NASA Black Marble (VNP46A2)

"NASA Black Marble VNP46A2"

NASA FIRMS Active Fire

NASA Fire Information for Resource Management System

"NASA FIRMS"

Basemap & Browse Tiles

OpenStreetMap contributors · NASA GIBS

"© OpenStreetMap contributors · NASA GIBS"

Global Event Signals

GDELT Project

"Event data derived from the GDELT Project"

Tropical Cyclones

GDACS (EC JRC / UN)

"Cyclone data courtesy GDACS (EC JRC)"

Weather & Observability

Open-Meteo

"Weather data by Open-Meteo.com, CC BY 4.0, using DWD ICON and NOAA GFS models."

Your Own Data

Uploaded GeoTIFF / COG / GeoJSON

You retain ownership of uploaded data

Frequently Asked Questions

Where do the Watchfloor signals come from?
Delta Signals are geolocated event signals distilled from global news media via the GDELT Project, then automatically classified, geolocated, source-linked, and matched to a recommended sensor. Each signal links back to its originating article(s). Dates are news-reported days, not verified times of occurrence.
Is the event and weather data AI-verified?
Classification, geolocation, and sensor recommendations are produced automatically with no human in the loop, so they can mis-classify or mis-locate. Each signal carries a geolocation-confidence flag, and observability is a weather forecast, not an observation. Treat everything as decision support — see the Methodology & Limitations page.
Is the satellite data free?
The underlying data — Sentinel-1, Sentinel-2, NISAR, VIIRS, and NASA FIRMS — comes from free and open programmes (ESA Copernicus, NASA, and the NASA-ISRO NISAR mission). Browsing events and the map is free; tokens are only spent when you load satellite imagery tiles or run analysis.
What is the difference between Sentinel-1 and Sentinel-2?
Sentinel-1 is radar (SAR): it works through clouds, day or night, and is ideal for flood and surface-change detection. Sentinel-2 is optical: it captures natural-looking, high-resolution imagery in 13 bands, best for vegetation and land-cover analysis. They are highly complementary.
How often is each source updated?
Sentinel-2 revisits roughly every 5 days, Sentinel-1 every 6 days, NISAR has a 12-day repeat cycle (about 6 days on average combining ascending and descending passes), and VIIRS and NASA FIRMS provide daily coverage. Actual availability over a given location depends on orbit passes and, for optical imagery, cloud cover.
Do I need to credit the data sources?
Yes. When you export or publish imagery, include the attribution listed for each source — for example, "Contains modified Copernicus Sentinel data" for Sentinel-1/2, "NASA Black Marble VNP46A2" for VIIRS, and "NASA FIRMS" for active fire data.
Can I add my own data?
Yes. Upload GeoTIFF, Cloud-Optimized GeoTIFF, or GeoJSON files and overlay them with the satellite sources on a single map. Reference layers such as OpenStreetMap basemaps are also available for context.

Start Exploring These Sources

Open Sentinel-1, Sentinel-2, NISAR, VIIRS, and NASA FIRMS data with a free account.

From headline to satellite evidence

One connected intelligence workflow across four surfaces — free to start, no GIS software or remote-sensing background required.