How accurate are LandPlanner's construction cost predictions?

Our gradient-boosted ensemble model is trained on thousands of actual construction projects and calibrated with conformal prediction to produce 95% confidence intervals. Every estimate shows P10 (optimistic), P50 (median), and P90 (conservative) bounds.

What geographic areas does LandPlanner cover?

Full parcel analysis including zoning, assessor data, and jurisdiction intelligence is live across 15 US states — including Utah, Idaho, California, Texas, Florida, Arizona, Colorado, Georgia, Oregon, Washington, Pennsylvania, Tennessee, North Carolina, Nevada, and Ohio — with more added on a rolling basis. Environmental and federal data (FEMA, USGS, EPA, NOAA, Census, NREL) is available nationwide for any US coordinate.

What data sources does LandPlanner use?

We aggregate data from 15+ federal, state, and local agencies including FEMA, USGS, Census Bureau, USDA SSURGO, NREL, USFWS, EPA, NOAA, USFS, BLS, Walk Score, and county assessors.

Can I analyze multiple parcels at once?

Yes. Pro plans and above include batch screening — upload a CSV of coordinates and our engine scores each parcel for feasibility, construction cost, and environmental risk. Enterprise plans also get batch API access with webhooks.

How is LandPlanner different from other site analysis tools?

Most tools show raw data and leave interpretation to you. LandPlanner combines authoritative data from 15+ sources with machine learning to produce actionable outputs: calibrated cost predictions with confidence intervals, automated pro formas, entitlement risk scoring, permit outcome predictions, foundation analysis, stormwater BMP design, buildable area calculations, and fire access compliance checks.

CropScape CDL Satellite Crop History

How CDL Works

Landsat 8/9 and Sentinel-2 imagery, supervised classification, 30m resolution, 90%+ accuracy for major crops.

Rotation Pattern Interpretation

Corn-soybean (healthy), continuous corn (yield penalty), corn-soy-wheat (excellent), fallow (investigation needed).

Crop Diversity Index

Shannon/Simpson metrics quantify rotation quality and management stewardship.

CDL Limitations

Sub-field management invisible, cover crops underreported, mixed pixel effects near field edges.