Sentinel-2 imagery
Optical satellite observations used to derive vegetation condition and multi-year dynamics for the uploaded boundary.
Science and methods
Transparency by design
VerdeSat combines satellite-derived vegetation dynamics with land-cover structure and contextual geospatial information to produce screening-grade evidence for a specific land area.
Data foundation
What goes into an analysis
10 m land cover
High-resolution land-cover data used to describe habitat composition, landscape structure and fragmentation.
Geographic and ecological context
Country and administrative context, Köppen–Geiger climate and RESOLVE ecoregion/biome data, plus source-scoped contextual layers where coverage and licensing permit.
Indicators
What the metrics describe
- Vegetation vigour and trend
- Satellite indices such as NDVI and MSAVI, summarised as time series and fitted trends over the selected period.
- Land-cover composition and change
- The mapped mix of land-cover classes, dominant cover and endpoint differences across a common valid footprint. Change does not establish cause or impact.
- Landscape screening metrics
- Transparent land-cover and landscape measures, including habitat structure, landscape condition and vegetation dynamics.
- Location and source-scoped context
- Protected areas (Natura 2000) overlap or proximity in EU27. GLOBIO MSA is a proxy for Mean Species Abundance. Other context is reported with source and coverage semantics.
Vegetation recovery
NDVI time series
The B-Score
The B-Score is a proprietary 0–100 screening score that summarises selected indicators of habitat structure, landscape condition and vegetation dynamics into one comparable value.
It is a screening score for a specific land area. It is not a measure of total biodiversity, a species count, or a substitute for ecological assessment. Indicator definitions and inputs are disclosed in every report; scoring calibration remains proprietary.
Transparency
What every Evidence Pack includes
- A constrained AI summary generated from prepared analysis evidence
- Indicator definitions and how each is derived
- Assumptions applied during processing
- Data sources and acquisition periods
- Method information for each output
- Known limitations and caveats
- Data lineage for traceability
Limitations
What VerdeSat does not claim
VerdeSat produces screening-grade decision support. It does not replace field ecology, species surveys, legally required assessments or expert regulatory sign-off.
Optical satellite data has inherent constraints, including cloud cover, revisit frequency and spatial resolution. Results describe observable landscape and vegetation signals rather than the full ecological state of a place.
The purpose is not to claim perfect knowledge of a site, but to identify where attention, monitoring, budget or deeper investigation may be needed.