Sample report

What a LandBenchmark report actually contains

This is a real report on a real parcel in Blanco County, TX (52.8 acres), rendered with the same components a user sees after analyzing land. The verdict is WALK-AWAY, from 36 measured signals, 6 of them flagged. Every value states what was observed, how, from which source, and when — most recent observation 2026-07-07. Nothing is estimated to fill a gap: what could not be measured is listed at the bottom, with the reason.

Verdict

Expert review advised

Several signals were flagged. Before proceeding, we'd have a qualified professional review this parcel in person.

  • Prime farmland — possible agricultural zoning / tax constraints
  • High shrink-swell soils (foundation / slab risk)
  • Shallow bedrock/restriction (excavation, septic, foundation cost)
  • 3 contamination records near the parcel
  • Frequent extreme heat (≥ 30 days/yr at or above 35 °C — screening cutoff)
  • Parcel lies on USGS-mapped karst / soluble-rock terrain (sinkhole, cover-collapse and groundwater-vulnerability considerations)

What needs attention

6 flagged signals — these drive the verdict. Flags arrive open, with their method and trust limits.

Farmland & land capabilityBuildability6land capability class (1 best … 8) flagged

Tarpley (70% of map unit): Not prime farmland; capability class 6

Why

Classified as prime farmland — productive ground, but check for ag-zoning, conservation easements or tax programs that can limit development.

Prime farmland — possible agricultural zoning / tax constraints

How
SSURGO farmland classification + nonirrigated land-capability class (niccdcd)
Evidence
USDA-NRCS SSURGO; USDA Land Capability Classification (Klingebiel & Montgomery 1961)
Trust
US only; 'prime farmland' status can carry agricultural zoning / tax (e.g. Williamson Act) implications worth checking
LiveUSDA-NRCS SSURGOScreening-gradeSource
Expansive-soil potentialBuildability13.4% linear extensibility (LEP) flagged

Tarpley (70% of map unit): max LEP 13.4% (high shrink-swell)

Why

Soils shrink and swell markedly with moisture — a foundation-design issue (slabs, footings, drainage) to engineer for.

High shrink-swell soils (foundation / slab risk)

How
SSURGO linear extensibility percent (LEP) of the dominant component → shrink-swell potential
Evidence
USDA-NRCS SSURGO (LEP)
Trust
Screening; LEP > 6% ≈ high shrink-swell → a foundation-design consideration, not a determination
LiveUSDA-NRCS SSURGOHigh confidenceSource
Depth to bedrock / restrictionBuildability38cm to restrictive layer flagged

Tarpley (70% of map unit): restrictive layer at ~38 cm

Why

A restrictive layer sits shallow — expect harder excavation, tougher septic siting and possible blasting/ripping cost.

Shallow bedrock/restriction (excavation, septic, foundation cost)

How
SSURGO depth to the shallowest restrictive layer / bedrock (corestrictions.resdept_r)
Evidence
USDA-NRCS SSURGO
Trust
US only; shallow bedrock raises excavation, septic and foundation cost — confirm with a site investigation
LiveUSDA-NRCS SSURGOHigh confidenceSource
Environmental records nearby (EPA)Surroundings3contamination records near the parcel flagged

Within 3 km: 9 leaking storage tank (lust), 4 hazardous waste (rcra), 35 storage tank facility, 11 permitted water discharge. Of concern: JCB PLAZA (leaking storage tank (lust)) ~1225 m; AFB MEMORIAL HOSPITAL (leaking storage tank (lust)) ~1273 m; PILGRAM BUSHNELL NEWMAN WATER WELLS (leaking storage tank (lust)) ~1273 m.

Why

3 records of known or reported contamination sit close to this parcel. Off-site contamination migrates through groundwater and soil vapour, so this alone justifies a Phase-1 environmental records review before you commit. This is a proximity screen over EPA's mapped records, not a Phase-1 records review. It does not cover facilities that closed before these registries existed, state-agency files, or anything ever done on the parcel itself. No records found here does not mean the land is clean.

3 contamination records near the parcel

How
Proximity query against EPA's mapped facility registry (Brownfields, TRI toxic releases, RCRA hazardous-waste handlers, permitted water dischargers, permitted air emitters) and EPA UST Finder (reported storage-tank releases [LUST] and registered tank facilities) within 3 km of the parcel centroid, with geodesic distance to each. Records are tiered by severity: a brownfield, reported chemical release, or leaking storage tank within 1.6 km flags; a hazardous-waste handler or tank facility flags only within 500 m (RCRA registers every auto shop and dry cleaner); permitted air and water dischargers are reported for awareness and never flag.
Evidence
US EPA Facility Registry Service (TRI, RCRAInfo, ACRES Brownfields, NPDES, ICIS-Air); EPA UST Finder (LUST/UST)
Trust
A proximity screen over EPA's MAPPED records — not an ASTM E1527 Phase I ESA. It does not cover historical facilities that closed before these registries existed, state-agency files, or any on-parcel history. Absence of records here is NOT evidence that a parcel is clean. Distances are to a record's registered coordinate, which is often an office or a street address rather than the release point.
LiveUS EPA Facility Registry ServiceScreening-gradeSource
Extreme heat daysHazard45days/yr Tmax ≥ 35 °C flagged

~45 days/yr ≥ 35 °C; ~1 days/yr ≥ 40 °C (ERA5 2015–2024)

Why

Around 45 days per year reach 35 °C and 1 reach 40 °C — weigh heat stress on crops, livestock, workers and cooling load; the flag threshold is a screening convention, not a health standard.

Frequent extreme heat (≥ 30 days/yr at or above 35 °C — screening cutoff)

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
Mean days/yr with Tmax ≥ 35 °C (and ≥ 40 °C) from ERA5 daily maxima
Evidence
ERA5 (Hersbach et al. 2020, Q. J. R. Meteorol. Soc. 146:1999)
Trust
The ≥ 30 days/yr ≥ 35 °C flag cutoff is a screening convention, not a health or crop standard; 9 km grid smooths local extremes
LiveOpen-Meteo ERA51.6y agoScreening-gradeSource
Karst / soluble-rock terrainHazardCarbonate rocks at or near the land surface in a dry climateUSGS karst type flagged

USGS karst polygon: Carbonate rocks at or near the land surface in a dry climate — Glen Rose Limestone, Early Cretaceous, limestone

Why

This land sits on mapped soluble bedrock — sinkholes, voids and rapid groundwater pathways are possible; budget a geotechnical/karst survey before siting structures, wells or septic.

Parcel lies on USGS-mapped karst / soluble-rock terrain (sinkhole, cover-collapse and groundwater-vulnerability considerations)

How
USGS 'Karst in the United States' (OFR 2014-1156) carbonate/evaporite karst polygon at the point, served from an Esri-hosted copy of the USGS digital dataset
Evidence
USGS Open-File Report 2014-1156 (Weary & Doctor)
Trust
Small-scale national compilation — a regional soluble-rock screen, not a site sinkhole survey; volcanic/piping pseudokarst layers are not screened here; layer is hosted by Esri (not usgs.gov), schema-verified against the USGS publication
LiveUSGS karst compilationHigh confidenceSource

Water

Wetlands (NWI)WaterNone mappedNWI wetland type

No NWI wetland polygon intersects the parcel

Why

No mapped wetland at the point — but NWI can miss small or forested wetlands, so a field check still governs any Clean Water Act permitting.

How
USFWS National Wetlands Inventory wetland polygon at the point (ArcGIS REST)
Evidence
USFWS National Wetlands Inventory (NWI)
Trust
US inventory flag only — a jurisdictional wetland delineation requires a professional; NWI can miss small/forested wetlands
LiveUSFWS NWIHigh confidenceSource
Water stress (WRI Aqueduct)WaterMedium - High (20-40%)baseline water-stress category

baseline water stress: Medium - High (20-40%) for Pfafstetter basin 751810, United States (withdrawals vs available supply)

Why

Baseline water stress here is Medium - High (20-40%) — limited regional competition for water, but this is a basin-level indicator, not a legal water right; confirm local availability and permits.

How
Baseline water stress (ratio of withdrawals to available supply) of the WRI Aqueduct 4.0 sub-basin containing the parcel
Evidence
WRI Aqueduct 4.0 (Kuzma et al. 2023)
Trust
Basin-level indicator of regional water competition — NOT a legal water-right; confirm actual rights/permits in local records
LiveWRI Aqueduct 4.0High confidenceSource
Surface-water seasonality (JRC)Water0% of parcel with water ≥1 month/yr

max 0 months/yr of standing water; permanent (12-month) water on 0% of parcel (JRC seasonality layer 2020)

Why

Little to no seasonal open water mapped on the parcel — corroborates a low standing-water signal.

When

JRC Global Surface Water v1.3 (Landsat) · window 2020-01-01→2020-12-31 · 30m

How
JRC Global Surface Water `seasonality` layer: per-pixel count of months (1-12) with open water in the layer year; parcel stat = % of pixels with water ≥1 month/yr (max months and permanent 12-month share reported in detail)
Evidence
Pekel, Cottam, Gorelick & Belward 2016 (Nature 540:418) — JRC Global Surface Water v1.3
Trust
30 m Landsat-derived (archive 1984-2020; seasonality layer = calendar 2020). Detects OPEN water only — misses water under canopy and channels narrower than ~30 m
LiveJRC Global Surface Water v1.3 (Landsat)5.6y agoHigh confidenceSource
Current drought status (USDM)WaterD0 Abnormally DryUSDM category (None, D0 Abnormally Dry … D4 Exceptional)

Blanco County, TX: D0 Abnormally Dry across 55% of the county (USDM map of 2026-07-07)

Why

Current US Drought Monitor status here is D0 Abnormally Dry — a weekly snapshot of present conditions; long-term water availability needs its own review.

When

Observed 2026-07-07 · US Drought Monitor

How
Current US Drought Monitor category for the parcel's county (dominant D0–D4 class by exclusive area share; county FIPS via the FCC census-block API)
Evidence
US Drought Monitor (NDMC/USDA/NOAA)
Trust
Weekly national product at county scale — current conditions, not a long-term water-supply determination
LiveUS Drought Monitor14d agoHigh confidenceSource

Buildability

Soil drainage classBuildabilityWell drainednatural drainage class

Tarpley (70% of map unit): Well drained

Why

Dominant soil is well drained — generally workable drainage (confirm on site).

How
USDA-NRCS SSURGO natural drainage class of the dominant map-unit component (Soil Data Access)
Evidence
USDA-NRCS SSURGO
Trust
US only; map-unit generalisation (not a site boring) — on-site soils vary
LiveUSDA-NRCS SSURGOHigh confidenceSource
Septic suitability (perc screen)Buildability1.3µm/s Ksat (indicative perc)

Tarpley (70% of map unit): mean Ksat 1.3 µm/s → moderate percolation

Why

Permeability is in a workable range for a conventional septic system — a certified perc test still governs.

How
Indicative percolation from SSURGO saturated hydraulic conductivity (Ksat) of the dominant component
Evidence
USDA-NRCS SSURGO (Ksat)
Trust
Screening only — a certified percolation/perc test is required for any septic permit; Ksat is a lab-derived proxy
LiveUSDA-NRCS SSURGOScreening-gradeSource
Soil productivity (NCCPI)Buildability20/100 (NCCPI v3.0)

very low inherent productivity — poorly suited to commodity crops

Why

USDA rates this map unit 20/100 for inherent commodity-crop productivity (very low). This describes the soil's natural capability, not what the land is worth or what you may build on it.

How
USDA-NRCS National Commodity Crop Productivity Index (NCCPI v3.0), 0–1. Component values (cointerp.interphr at ruledepth 0) are aggregated to the map unit weighted by each component's share of it (component.comppct_r), for the map unit under the parcel centroid.
Evidence
Dobos, R.R., Sinclair, H.R., Robotham, M.P. (2012) National Commodity Crop Productivity Index (NCCPI) User Guide. USDA-NRCS.
Trust
US only (SSURGO coverage). A map-unit generalisation sampled at the parcel centroid, not a soil test of your building site or field. NCCPI rates inherent commodity-crop capability — it does not account for irrigation, drainage improvements, or management history.
LiveUSDA-NRCS SSURGO (NCCPI v3.0)High confidenceSource

Access

Road access & distanceAccess54m to nearest road

nearest road (service) ~54 m from parcel boundary

Why

A mapped road runs close to the parcel — access is plausible (confirm legal frontage).

How
Overpass nearest highway=* distance from the parcel centroid (haversine)
Evidence
OpenStreetMap contributors; Overpass API
Trust
highway class = importance, NOT surface quality; legal/deeded access needs a title search
LiveOpenStreetMapScreening-gradeSource
Gas transmission pipeline proximityAccess

No EIA-mapped gas transmission pipeline within ~3 km

Why

No mapped transmission-level gas pipeline nearby — no pipeline easement/safety screen triggered; note this says nothing about local gas distribution service to the parcel.

How
Distance to nearest EIA-mapped natural-gas interstate/intrastate transmission pipeline within ~3 km (ArcGIS FeatureServer distance query + local point-to-segment distance)
Evidence
US EIA Natural Gas Interstate & Intrastate Pipelines (via HIFLD Open)
Trust
Transmission-level network only — a nearby line does NOT mean connectable gas service (that is the local distribution utility); close proximity is a safety/easement consideration, and our <300 m flag is a screening cut in the spirit of PHMSA consultation zones, not a regulatory determination
LiveEIA gas pipelines (HIFLD)Screening-gradeSource

Hazard

Seismic design demandHazard0.05g (S_DS design acceleration)

S_DS 0.05 g; Seismic Design Category A

Why

Moderate-to-low seismic design demand for standard construction.

How
USGS ASCE 7-16 seismic design values (S_DS design spectral acceleration and Seismic Design Category) at the point, Risk Category II / Site Class D
Evidence
USGS Seismic Design Web Services; ASCE 7-16
Trust
US & territories; design-level ground motion for code compliance — not a site-specific fault or liquefaction study
LiveUSGS ASCE 7-16High confidenceSource
Wildfire hazard potential (USFS)HazardLowWHP class (Very Low…Very High)

USFS WHP 2023 class: Low (class 2 of 5)

Why

Wildfire hazard potential is Low — a lower-hazard band regionally, though local fuels, slope and weather still matter.

How
USFS Wildfire Hazard Potential 5-class at the point (FSim + LANDFIRE fuels)
Evidence
USFS Wildfire Hazard Potential 2023 (270 m)
Trust
US only at 270 m — regional context, not a site-level fire assessment
LiveUSFS WHPHigh confidenceSource
Radon zone (EPA)HazardZone 3EPA radon zone (1 highest–3 lowest)

Blanco County, Texas: EPA radon Zone 3 — lowest predicted potential (<2 pCi/L)

Why

This county is EPA radon Zone 3 (lower predicted potential) — levels still vary house to house, so an in-home test is the only confirmation.

How
EPA Map of Radon Zones — predicted county radon potential (Zone 1 ≥4 pCi/L … Zone 3 <2)
Evidence
EPA Map of Radon Zones (EPA-402-R-93-071)
Trust
County-level screen only — indoor radon varies house to house; only an in-home test confirms actual levels
LiveEPA Map of Radon ZonesHigh confidenceSource
Earthquake history (observed)Hazard0M≥4.5 events within 100 km since 1975

no M≥4.5 earthquakes within 100 km of the centroid since 1975 (USGS ComCat)

Why

A quiet observed record — no M≥4.5 earthquakes within 100 km since 1975. Catalog completeness varies by region, and a quiet catalog is not zero hazard; the national building code still sets the design values.

When

USGS ComCat (FDSN event service) · window 1975-01-01→2026-07-11

How
USGS FDSN event service: count + largest + most recent M≥4.5 event within 100 km of the parcel centroid since 1975 (count endpoint + magnitude-ordered query)
Evidence
USGS Comprehensive Catalog (ComCat), FDSN event service
Trust
Observed catalog — completeness varies by region/era; hazard DESIGN values need the national code (US: ASCE 7 signal)
LiveUSGS ComCat (FDSN event service)10d agoScreening-gradeSource
Volcanic proximityHazard807.6km to nearest Holocene volcano

nearest Holocene volcano: Carrizozo, United States at 808 km (last known eruption 3250 BCE)

Why

The nearest Holocene volcano (Carrizozo, United States) is 808 km away — outside the typical near-field hazard range, though heavy regional ashfall from a large eruption can travel farther; a proximity screen, not a hazard-zone map.

How
Haversine distance from the parcel centroid to the nearest Holocene volcano in the Smithsonian GVP WFS (bbox ±3°, widened to ±8° if empty)
Evidence
Smithsonian Global Volcanism Program, Volcanoes of the World
Trust
Proximity screen to Holocene volcanic centers — actual hazard footprints (ashfall/lahar) need national volcanic-hazard maps
LiveSmithsonian GVP Volcanoes of the World (Holocene)Screening-gradeSource
Wildfire burn history (MODIS)Hazard Pro · satellite0distinct burn months in last ~6 yr

no burned area detected in 57 monthly composites 2020-2026 (500 m — small burns can be missed)

Why

No satellite-detected burn in ~6 years of monthly burned-area maps — low observed fire history (small burns below 500 m scale can escape detection).

When

MODIS Terra+Aqua (MCD64A1 v6.1) · window 2020-07-11→2026-07-11 · 500m

How
MODIS MCD64A1 monthly burned-area: burned pixel = Burn_Date > 0 (day-of-year of burn; 0 = unburned, negatives = water/unmapped fill); parcel stat = distinct burn months over the last ~6 years, plus % of parcel pixels ever burned
Evidence
Giglio et al. 2018 (Remote Sens. Environ. 217:72) — MCD64A1 Collection 6.1
Trust
500 m resolution — reliably maps large burns but misses small, patchy or low-intensity fires; read as regional burn history, not a parcel-level burn determination
LiveMODIS Terra+Aqua (MCD64A1 v6.1)10d agoHigh confidenceSource

Climate

Climate normals (~10 yr)Climate20.1°C mean annual temp

mean annual temp 20.1 °C; annual precipitation ~900 mm (2015–2024, ERA5)

Why

Regional climate averages ~20 °C and ~900 mm rain/yr — informs crop, heating/cooling and water planning.

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
~10 yr of daily 2 m mean temperature and precipitation from ERA5 reanalysis (Open-Meteo Archive) at centroid → mean annual temperature + annual precipitation
Evidence
Hersbach et al. 2020 (ERA5)
Trust
~9 km reanalysis grid — regional context, not microclimate; WorldClim/station data refine
LiveOpen-Meteo ERA51.6y agoHigh confidenceSource
Solar PV yieldClimate1579kWh/kWp·yr

optimal tilt 29°; 1 kWp crystalline-Si, 14% system loss (PVGIS SARAH)

Why

About 1579 kWh per kWp per year — a solid solar resource for on-site PV.

How
PVGIS PV performance model (optimally-inclined 1 kWp crystalline-Si) → annual specific yield kWh/kWp·yr at centroid
Evidence
Huld et al. 2012 (PVGIS SARAH), Solar Energy 86:1803
Trust
Modelled from satellite irradiance; on-site shading/soiling need a site survey
LivePVGISHigh confidenceSource
Wind resource (100 m)Climate6.2m/s mean @100 m

mean 100 m wind ~6.2 m/s (moderate); ERA5 2021–2023

Why

About 6.2 m/s average wind at 100 m — a moderate resource; informs small-wind potential and exposure/shelter planning.

When

Open-Meteo ERA5 · window 2021-01-01→2023-12-31 · 9000m

How
Mean 100 m wind speed from ERA5 reanalysis (Open-Meteo Archive), multi-year hourly average
Evidence
Hersbach et al. 2020 (ERA5, Q. J. R. Meteorol. Soc. 146:1999)
Trust
~9 km reanalysis → regional resource, not hub-height yield; a met mast or the Global Wind Atlas microscale model refines it before any turbine decision
LiveOpen-Meteo ERA52.6y agoScreening-gradeSource
Growing season (frost-free days)Climate355frost-free days/yr (Tmin > 0 °C)

~355 frost-free days/yr; mean last spring frost ~Feb 18, first autumn frost ~Dec 1 (ERA5 2015–2024)

Why

About 355 frost-free days per year — sets which crops and how many cycles are viable; on-site frost pockets can be shorter, so confirm the local last/first-frost dates.

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
Mean count of days/yr with Tmin > 0 °C (frost-free season) plus mean last-spring / first-autumn frost day-of-year, from ERA5 daily minima
Evidence
ERA5 (Hersbach et al. 2020, Q. J. R. Meteorol. Soc. 146:1999); ETCCDI growing-season indices
Trust
9 km reanalysis — local frost pockets vary; on-site microclimate (cold-air drainage, slope, aspect) governs actual planting dates
LiveOpen-Meteo ERA51.6y agoHigh confidenceSource
Snow daysClimate2days/yr with snowfall

~2 snowfall days/yr; ~2 cm annual snowfall (ERA5 2015–2024)

Why

About 2 snow days and ~2 cm of snow per year — informs access, heating and roof/structure design. This is climatology only; structural snow LOAD must come from the local code (e.g. ASCE 7 ground snow load).

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
Mean days/yr with snowfall > 0 and mean annual snowfall depth (cm) from ERA5 daily snowfall_sum
Evidence
ERA5 (Hersbach et al. 2020, Q. J. R. Meteorol. Soc. 146:1999)
Trust
Snow CLIMATOLOGY only — structural snow LOAD for design needs the local code value (e.g. ASCE 7 ground snow load), not this frequency
LiveOpen-Meteo ERA51.6y agoHigh confidenceSource
Aridity index (UNEP)Climate0.6AI = P / ET0

AI 0.60 — UNEP 'dry sub-humid' (P ~900 mm/yr, ET0 ~1503 mm/yr; bands: hyper-arid <0.05, arid 0.05–0.20, semi-arid 0.20–0.50, dry sub-humid 0.50–0.65, humid >0.65)

Why

Aridity Index 0.60 places this in the UNEP 'dry sub-humid' class — rainfall broadly meets or exceeds evaporative demand for much of the year (still check seasonal timing).

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
UNEP Aridity Index AI = mean annual precipitation / mean annual reference evapotranspiration (FAO-56 Penman–Monteith ET0), from ERA5 daily
Evidence
UNEP 1992 (World Atlas of Desertification); FAO-56 Penman–Monteith ET0; ERA5 (Hersbach et al. 2020)
Trust
AI < 0.20 is the UNEP 'Arid' class (a recognised standard); a 9 km climatology — a well permit/water balance still needs local data
LiveOpen-Meteo ERA51.6y agoHigh confidenceSource
Rainfall seasonality (BIO15)Climate40CV % of monthly precip

monthly-precip CV 40% (WorldClim BIO15); wettest May ~158 mm, driest Jul ~41 mm (ERA5 2015–2024)

Why

Rainfall seasonality CV of 40% — moderately spread across the year. Wettest May, driest Jul.

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
Coefficient of variation of the 12 monthly precipitation normals (WorldClim BIO15 construct) over the ~10 yr window
Evidence
Fick & Hijmans 2017 (WorldClim 2, Int. J. Climatol. 37:4302); O'Donnell & Ignizio 2012 (BIO15)
Trust
Higher CV = more concentrated (seasonal) rainfall; a 9 km grid smooths orographic gradients — treat as regional context
LiveOpen-Meteo ERA51.6y agoHigh confidenceSource
Köppen–Geiger climate classClimateCfaKöppen–Geiger class

Köppen–Geiger Cfa (humid subtropical); from monthly T & P normals (Beck et al. 2018 rules, ERA5 2015–2024)

Why

Climate class Cfa (humid subtropical) — a compact summary of the temperature/rainfall regime useful for matching crops, vegetation and building practice; computed from a 9 km grid, so borderline sites can shift a letter.

When

Open-Meteo ERA5 · window 2015-01-01→2024-12-31 · 9000m

How
Köppen–Geiger climate class computed from the 12 monthly temperature ((Tmin+Tmax)/2) and precipitation normals using the Beck et al. 2018 rules
Evidence
Beck et al. 2018 (Sci. Data 5:180214); Köppen–Geiger
Trust
Computed from 9 km ERA5 normals with T approximated as (Tmin+Tmax)/2 — class boundaries are approximate at local scale; a full three-letter class is emitted but borderline sites can shift a letter
LiveOpen-Meteo ERA51.6y agoHigh confidenceSource
Land cover (ESA WorldCover)Climate53% of parcel is Tree cover (dominant class)

top-3: Tree cover 53%, Grassland 36%, Built-up 10%; tree cover 53% of parcel (WorldCover 2021 v200)

Why

Predominantly tree cover (53%), tree cover 53% — informs clearing effort, shading and land use context.

When

ESA WorldCover 10 m (2021, v200, Sentinel-1+2) · window 2021-01-01→2021-12-31 · 10m

How
ESA WorldCover 10 m `map` asset: dominant class % + top-3 class breakdown over the parcel from the verified class table (10 Tree cover … 100 Moss and lichen; 0 = nodata); tree-cover % reported in detail
Evidence
Zanaga et al. 2022 (ESA WorldCover 10 m v200)
Trust
10 m single-epoch class map (latest hosted year, 2021 v200) — mixed pixels and parcel edges misclassify; verify the dominant class against recent imagery
LiveESA WorldCover 10 m (2021, v200, Sentinel-1+2)4.6y agoHigh confidenceSource

Surroundings

Neighbouring land useSurroundings

no industrial/landfill/quarry/works within 500 m of the parcel (0 land uses seen nearby)

Why

No mapped industrial/waste/extraction land use in the immediate surroundings.

How
Overpass proximity query: nearest landuse=industrial|landfill|quarry|farmland or man_made=works within ~500 m of centroid; nearest-nuisance distance (haversine)
Evidence
OpenStreetMap contributors; Overpass API
Trust
OSM completeness varies by region; absence ≠ confirmed clear. EPA FRS adds US industrial sites
LiveOpenStreetMapScreening-gradeSource
Air quality (PM2.5)Surroundings7.9µg/m³ mean PM2.5 (recent ~90 d)

recent 90-day mean PM2.5 ~8 µg/m³ (annual health guidelines: WHO 5, US EPA 9 µg/m³ — this is a seasonal snapshot, not an annual normal)

Why

Fine-particulate levels are in a typical range for the recent period (a seasonal snapshot, not an annual normal).

How
Recent-period mean surface PM2.5 from CAMS (Copernicus Atmosphere Monitoring Service) via the Open-Meteo Air-Quality API
Evidence
CAMS — Copernicus Atmosphere Monitoring Service (ECMWF)
Trust
A recent ~90-day mean (not a full annual normal) on a model grid, not a site monitor — treat as regional context
LiveCAMS (Open-Meteo)ContextSource
Protected / conservation areasSurroundings541m to nearest protected area

nearest: Lyndon B. Johnson National Historical Park (Historic or Cultural Area) ~541 m; 2 PAD-US designation(s) within 3000 m

Why

A protected area is mapped ~541 m away — unlikely to restrict the parcel directly, but check buffer rules.

How
USGS PAD-US v4 protected-area polygons at the point and within 3 km (GAP status 1-3; Fee, Designation and Easement categories), ArcGIS REST
Evidence
USGS Protected Areas Database of the United States (PAD-US) v4
Trust
US only. GAP status 1-3 is USGS's own definition of land carrying a mandate for protection; GAP 4 (most municipal parks) is excluded because it carries none. Proclamation boundaries are excluded — they enclose private land. Distance is measured to a boundary generalized to ~5 m, so treat sub-10 m distances as adjacency, not survey.
LiveUSGS PAD-US v4Screening-gradeSource
Superfund proximity (EPA NPL)Surroundings

No EPA Superfund NPL site within ~8 km

Why

No federal Superfund (NPL) site mapped nearby — but on-parcel history still needs a Phase I ESA; the NPL lists only the worst federal sites.

How
Distance to nearest EPA Superfund National Priorities List (NPL) site within ~8 km (EPA ArcGIS)
Evidence
US EPA Superfund NPL / Facility Registry Service
Trust
US EPA coverage only; nearby ≠ on-parcel contamination and on-parcel history needs a Phase I ESA
LiveUS EPA Superfund/FRSScreening-gradeSource
Agricultural legacy (orchard/vineyard residue)Surroundingsnone observedorchard/vineyard years in the CDL record

USDA CDL land cover across the parcel, 2008–2023 — 2008: Deciduous Forest, 2015: Shrubland, 2023: Shrubland.

Why

No tree or vine crop appears in the USDA cropland record for this parcel. Note that the record begins in 2008, and the orchard-era pesticides that leave lead and arsenic in soil were applied before 1950 — so this is not evidence that the parcel was never an orchard. Historical aerial photography and a records review are what answer that.

When

USDA NASS Cropland Data Layer · window 2008-01-01→2023-12-31 · 30m

How
USDA NASS Cropland Data Layer sampled at five points across the parcel (centre + quarter points) in 2008, 2015 and 2023. A tree or vine crop in any sample raises a legacy-residue flag, because orchards and vineyards were historically treated with lead-arsenate insecticide, whose lead and arsenic do not degrade and persist in surface soil.
Evidence
USDA NASS Cropland Data Layer; Peryea, F.J. (1998) Historical use of lead arsenate insecticides, resulting soil contamination and implications for soil remediation, 16th World Congress of Soil Science
Trust
A screening indicator, never a finding of contamination — only a laboratory soil test can establish that. Five 30 m samples per year, so a small orchard corner can still be missed. The CDL record begins in 2008, while the lead-arsenate era ended around 1950: the period that created the risk is invisible to this dataset. Absence of an orchard here is NOT evidence of no orchard history — historical aerial photography and a records review are what settle that. The USDA CropScape service is intermittently unavailable; when it does not answer, this signal is absent from the report and listed as unavailable rather than reported as 'no orchard'.
LiveUSDA NASS Cropland Data Layer2.6y agoScreening-gradeSource
Regulatory-review triggersSurroundings0regulatory triggers

No designated critical habitat, National Register listing, or air-quality nonattainment area at this parcel.

Why

None of the three federal designations we screen appear here. This is not a clearance: state and local overlays, the coastal zone (which has no free national dataset), tribal consultation, and project-specific permits are outside this screen. LandBenchmark flags triggers; it does not certify compliance. Whether your project actually requires review depends on the project, the federal nexus, and the permitting agency — ask a land-use attorney before you rely on this.

How
Point-in-polygon and proximity queries against three federal designations: USFWS designated critical habitat (final), National Park Service National Register of Historic Places listings within 500 m, and EPA air-quality nonattainment areas. Each is reported as a possible trigger for environmental review — not as a compliance determination.
Evidence
USFWS Critical Habitat (ESA §4); National Park Service National Register of Historic Places; US EPA Green Book nonattainment areas (Clean Air Act)
Trust
LandBenchmark FLAGS triggers; it does not certify compliance. Whether a project requires ESA Section 7 consultation, NHPA Section 106 review, or nonattainment New Source Review depends on the project, the federal nexus, and the permitting agency — ask a land-use attorney. Designated critical habitat does not by itself prohibit private activity without a federal nexus. The coastal zone is NOT screened: it is defined state by state and no free national service publishes it.
LiveUSFWS / NPS / EPA designationsScreening-gradeSource

Not measured this run — and why

A LandBenchmark report never fills a gap with a guess. These signals could not be measured for this parcel; each states its reason.

  • drive timerequires an OpenRouteService key (ORS_API_KEY not configured)
  • flood zonesource unreachable, or no data coverage at this location, this run
  • landslidethe NASA susceptibility service is currently unreachable — this signal ships as soon as the source is back online
  • servicessource unreachable, or no data coverage at this location, this run
  • storm surgecoastal screen — no data inland (not applicable) or the NOAA service was unavailable this run

How the measurements are made: methodology & sources. How often they are right: the Accuracy Ledger. A report is an automated Phase-1 desk screen — not a survey, a flood determination, or a substitute for on-site inspection.