{{ lidar_n_trees_r10 }} tree{{ "s" if lidar_n_trees_r10 != 1 else "" }} within 10 m, {{ lidar_n_trees_r25 }} within 25 m {% if lidar_dist_to_nearest_m is not none and lidar_dist_to_nearest_m != "inf" %} · nearest {{ "%.1f"|format(lidar_dist_to_nearest_m) }} m {% endif %} {% if lidar_max_zoi_breach_m is not none and lidar_max_zoi_breach_m > 0 %} · tallest tree breaches its zone of influence by {{ "%.1f"|format(lidar_max_zoi_breach_m) }} m {% endif %} .
{% endif %} {% if geology_interpretation %}{{ geology_interpretation }}
{% endif %}ⓘ This is the working hypothesis implied by the council's planning record (case {{ planning_case_ref }}). The InSAR measurement at this property over {{ data_period }} does not currently corroborate it. See §03 Reconciliation.
{% endif %} {% if case_narrative %}{{ case_narrative }}
{% endif %} {% if case_low_amplitude_caveat %}{{ case_low_amplitude_caveat }}
{% endif %} {% if case_expected_signature %}{{ spatial_resolution_note }}
The displacement time series combines {% if n_egms_points > 0 %}EGMS Calibrated persistent scatterers (2019–2023){% endif %} {% if n_egms_points > 0 and licsar_velocity_mm_yr is not none %} with {% endif %} {% if licsar_velocity_mm_yr is not none %}LiCSAR + LiCSBAS continuous monitoring (2015–2024){% endif %} into a single vertical record, calibrated to remove reference-pixel bias during the 2019–2023 overlap. {% if sentinel1b_note %}{{ sentinel1b_note }}{% endif %}
| Bedrock | {{ bedrock_geology }} (BGS 1:50K) |
|---|---|
| Superficial deposits | {{ superficial_geology }} |
| GeoSure shrink-swell | {% set gsr = geosure_class|string %} {% if "High" in gsr or "D" in gsr or "E" in gsr %}High{% elif "Moderate" in gsr or "C" in gsr %}Moderate{% else %}Low{% endif %} {{ gsr }} |
| Trees within 10 m | {{ lidar_n_trees_r10 }} (max ht {{ "%.1f"|format(lidar_max_height_r25_m) }} m within 25 m) |
|---|---|
| Trees within 25 m | {{ lidar_n_trees_r25 }}{% if lidar_n_hedgerows_r50 %} · {{ lidar_n_hedgerows_r50 }} hedgerow segment{{ "s" if lidar_n_hedgerows_r50 != 1 else "" }}{% endif %} |
| Trees within 50 m | {{ lidar_n_trees_r50 }} (total crown area {{ "%.0f"|format(lidar_total_crown_area_r25_m2) }} m² within 25 m) |
| Nearest tree | {% if lidar_dist_to_nearest_m is not none and lidar_dist_to_nearest_m != "inf" %} {{ "%.1f"|format(lidar_dist_to_nearest_m) }} m{% if lidar_tallest_tree %} (tallest {{ "%.1f"|format(lidar_tallest_tree.height_m) }} m at {{ "%.1f"|format(lidar_tallest_tree.distance_m) }} m){% endif %} {% else %}none within 50 m{% endif %} |
| ZoI breach | {% if lidar_max_zoi_breach_m is not none and lidar_max_zoi_breach_m > 0 %} {{ "%.1f"|format(lidar_max_zoi_breach_m) }} m — tallest tree exceeds its 1.0× height-from-property {% elif lidar_max_zoi_breach_m is not none %} none — no tree taller than its distance {% else %}—{% endif %} |
| LiDAR data not yet available for this location | |
| EGMS Calibrated · 2019–2023 | {% if n_egms_points > 0 %} {{ n_egms_points }} building-level measurement point{{ "s" if n_egms_points != 1 else "" }} within 30 m. {% if egms_velocity_mm_yr is not none %}EGMS-only velocity: {{ "%+.2f"|format(egms_velocity_mm_yr) }} mm/yr.{% endif %} {% else %} No EGMS points within 30 m of the property. {% endif %} |
|---|---|
| LiCSAR + LiCSBAS · 2015–2024 | {% if licsar_velocity_mm_yr is not none %} Continuous ~100 m monitoring. {{ licsar_n_epochs_pre2019 }} epoch{{ "s" if licsar_n_epochs_pre2019 != 1 else "" }} prepended pre-2019, {{ licsar_n_epochs_post2023 }} epoch{{ "s" if licsar_n_epochs_post2023 != 1 else "" }} appended post-2023 (calibrated to EGMS during overlap). {% else %} No LiCSAR data at this location. {% endif %} |
| EA LIDAR Composite 1m | {% if lidar_data_available %} Used for canopy-height-derived tree features (count, distance, height, hedgerow flag, zone-of-influence). {% else %} Not available for this 5km tile; tree features omitted. {% endif %} |
| OS Open Map Local | Building, road and woodland polygons used for site context and the spatial figure. |
Whether the ground at and about the subject has been displacing, in what direction and magnitude, with what seasonal signature, and with what statistical confidence. These are measured quantities derived from satellite radar interferometry, not modelled estimates.
Whether structural damage has occurred, the precise causative mechanism, or the condition of the foundations. A site inspection by a suitably qualified surveyor remains necessary and is supported, rather than supplanted, by the evidence contained herein. Vertical decomposition assumes negligible horizontal motion; for tree-induced shrinkage cases residual radial motion may bias the vertical estimate by up to ±15%.
Ground displacement was derived via Interferometric Synthetic Aperture Radar (InSAR) analysis of European Space Agency Sentinel-1 acquisitions spanning {{ data_period }}. Two independent data sources were combined: (i) European Ground Motion Service (EGMS) Calibrated L2b persistent and distributed scatterer measurements (2019–2023) at building-level resolution, and (ii) LiCSAR interferograms from COMET/University of Leeds processed with LiCSBAS NSBAS inversion (2015–2024) at ~100 m resolution. Line-of-sight displacement was resolved to the vertical component using per-point/per-pixel viewing geometry (E, N, U unit vectors) and ascending-plus-descending decomposition.
Vegetation features were derived from the Environment Agency LIDAR Composite 1m: the canopy height model (CHM = First-Return DSM − DTM) was segmented into individual tree records (height ≥ 3 m, crown area ≥ 4 m²) by Gaussian smoothing, variable-window local-maxima detection, and marker-controlled watershed; building-polygon overlaps were rejected via OS Open Map Local mask. Geological context is sourced from the British Geological Survey 1:50,000 digital map and GeoSure shrink-swell dataset. Frame IDs: {{ frame_ids }}. Coordinates referenced to WGS 84.