02 · Diagnose
What the data tells you about your land
Process-based diagnosis across the four ecosystem processes — energy, water, mineral, community — with confidence labels, limiting indicators, weather-corrected trajectories, and independent cross-checks built in.
Health & process scores
- Whole-farm Land Health Score. Single number summarising overall ecosystem health. Your benchmarking and tracking metric.
- Per-field Land Health Score. Every field on the same recognisable 1–9 ladder as the whole farm.
- Confidence label. Low / Moderate / High per score. Tells you how strongly to act on the number.
- Limiting indicator. The single ecological health factor dragging a field down. Points to the exact thing that needs improvement.
Climate & weather context
- Brittleness score (1–10). How aridity-driven your land is. Calibrates expectations for rest, recovery and resilience.
- Weekly climate state. Optimal, normal, stress or dormancy each week. Shows when the land was actually under stress.
- Growing-season window. Detected start and end of season. Defines your decision window for grazing, mowing, sowing.
- Stress-week count. Annual tally of stressed weeks. Enables fair year-on-year comparison by de-trending for weather.
- Extreme-event flag. Heatwaves, floods and hard frosts — single-day events recorded for context.
- Annual weather class. Normal, Stressed or Severely-stressed year label that caveats each year's scores.
Carbon analytics
- Annual carbon flux (GPP, Reco, NEE). How much carbon was fixed and respired. Quantifies the carbon balance.
- NBP per land-cover class. Net Biome Production by parcel type. Distinguishes a woodland sink from a grassland sink-or-source.
- tCO₂/ha sequestration. Standard inventory units, the headline indicative figure — see σ bands for external use.
- Cumulative sequestration. Total carbon sequestered across the assessment period. The headline cumulative figure behind any carbon claim.
- Carbon–health consistency. Whether ecological and carbon trajectories agree. Catches "looks healthy but losing carbon" cases.
- Permanence risk. LOW / MODERATE / HIGH / CRITICAL durability label per parcel. Tells stakeholders how durable a claim is.
- Cross-checked AGB. Pipeline above-ground biomass independently verified at every parcel against eight authoritative datasets.
- Cross-checked SOC. Pipeline soil organic carbon (0–30 cm) verified against ISRIC SoilGrids, FAO GSOCmap, UKCEH Countryside Survey, RothC.
- Per-parcel verdict matrix. Green / amber / red / not-applicable for every (parcel × reference) pair, with σ band and candidate cause.
- 30-year forward projection. Per-parcel projected carbon trajectory using WCC v3.0 tables and IPCC 2019 Tier-1 defaults. Cumulative tCO₂/ha at 3, 5, 10, 30 years.
Trajectory over time
- Sen's slope trend per process. Robust trend in points per year — the headline regen-claim metric.
- Year-to-year variability. How stable the scores are. The resilience metric for enterprise design.
- Trajectory class. Regenerating, Steady or Degrading. The verdict line in the trajectory report.
- Land Health Score band sequence. Multi-year band history per field — the field's story at a glance ("5-5-6-6-7").
Disturbance & event detection
- Harvest, grazing & mowing detection. Radar-derived management events — what was done from space, week by week.
- Forest-loss flag. Hansen and biomass-drop combined. The official forest-loss flag a TNFD report needs.
- Fire flag. Hotspot density combined with optical confirmation. Calibrated certainty.
- Bark-beetle alert. Conifer-specific dieback flag — species-specific warning for forest sites.
- Disturbance recovery cap. Three-year ceiling on Land Health Score after biomass loss. Prevents over-claiming.
Field profiling
- Peak and mean seasonal scores. Per-field in-season performance summary. Quick comparison metric for ranking fields.
- Weekly phenology profile. 52-week plot of each field's productivity, revealing seasonal shape.
- Cover continuity index. Bare-soil and live-cover combined. Your soil-protection metric.
- Recovery-pattern detection. How each field's signal recovers after grazing, mowing or stress. Did management produce the intended response?
Forestry-specific
- Canopy structure & density. Multi-source signals capturing canopy height, closure and gaps. Stand condition without a ground inventory.
- Regeneration & gap dynamics. Detection of canopy openings and how they close. Supports continuous-cover and natural-regeneration management.
- Age-class & structural diversity. Spectral and radar signatures of even-aged vs mixed-age stands. Monocultural or diverse in structure?
- Deadwood signal. Where detectable from radar and lidar. Supports biodiversity claims tied to standing and fallen deadwood.
- Wood-pasture & silvopastoral balance. Tree-cover-to-ground-cover ratio per parcel. Headline structural metric for these systems.
Independent verification
- Spatial cross-check (8 datasets). AGB and SOC sampled at every parcel against ESA CCI Biomass, GEDI L4A/L4B, ISRIC SoilGrids, FAO GSOCmap, Copernicus LC, Hansen.
- National-inventory cross-check. UK National Forest Inventory and Italian INFC2015 — the legal-reference inventories.
- IPCC Tier-1 sanity bands. Tier-1 defaults per climate zone × land use; Tier-1 agroforestry; AGFORWARD measured European agroforestry.
- UK Woodland Carbon Code v3.0. Species × yield-class × age × spacing × management lookup. Drives the 30-year forward projection on forest-track parcels.
- Rothamsted Carbon Model (RothC) v1.0.0. Equilibrium SOC re-run with parcel-specific climate, soil clay, and management inputs.
Diagnosis principles
- Gap pattern. Eight-pattern triage: which kind of problem is this? First triage step in the diagnosis.
- Limiting process. Single bottleneck process per field. Points to where to act first.
- Root cause. Narrative cause behind the bottleneck (compaction, overgrazing, structural aridity, …).
- Farming-system code. Ten-class label matching your farming context. Matches diagnosis to the relevant prescription pool.
- Cascade order. BROWN → BLUE → GREEN → BLACK recovery sequence. Prevents wasted effort on downstream processes when upstream is broken.
- Diagnostic confidence. Low / Moderate / High strength of the diagnosis.