A detailed land profile for any plot.
Soil, climate, water and hazards, plus what would grow or graze there. Every number traced to its source.
- Yours to download, print and share
- Download a sample report (PDF, 27 pages)
What you get
Six parts of every report, built around what you need to know about the land.
Land profile
Climate, soil, terrain and water, with the USDA soil survey where available.
Soil and terrain
Texture, pH, slope, and the USDA soil survey where available.
Climate
Weather, frost and rain insights.
Hazards and checks
The risks, and what to verify on site.
Crop fit
83 crops scored for your plot.
Livestock fit
Cattle, sheep, goats, pigs and poultry.
See it with real data
| Factor | Value | Band |
|---|---|---|
| Land cover | Cropland 59% | Mixed cover |
| Elevation Geography and site map | 945 ft, relief 26 ft | Moderate |
| Topsoil organic matter | 3.1% · USDA 2% | Good |
| Sand | 15% · USDA 22% | Moderate |
| Soil pH | 6.3 · USDA 6.4 | Neutral |
| Slope Soil and terrain | 2.4% mean | Gentle |
| Summer heat | 82 °F | Warm |
| Hardiness zone | 6a | Cold winters |
| Rain Dry under 16 in, moderate to 31 in, ample to 51 in, very wet above. Average of 1991 to 2020. | 41 in | Ample |
| Humidity (warm season) | 70% | Humid |
| Frost-free season | 185 days | Moderate |
| Growing degree days | 1,752 (Winkler III) | Base 10 °C, Apr–Oct |
| Late-spring frost Share of years with a hard frost (−2 °C or lower) after 1 April, 1991 to 2020. High is 30% or more, medium 10% or more. | 80% of years | High |
| Extreme heat days (35 °C or more) Climate | 0.4 per year | Low |
| Proximity to water Water | Water body, 0.7 km | High |
| Disease pressure (leaf wetness) Pest and disease | 535 h | Medium |
| Hazards Natural hazards | Late spring frost, River flooding +1 more | High |
| Crop fit Crop fit | Ryegrass pasture 86 (top score) | Strong fit |
| Livestock fit Livestock fit | Meat goats 94 (top score) | Strong fit |
In the full report, every row links to its own section and opens its source, method and raw data.
Sources you can trust
Public data from government agencies, space agencies and research groups. Open one to see why we trust it.
ERA5 climate reanalysisIntergovernmental or EU program
ECMWF for the EU's Copernicus Climate Change Service; Open-Meteo redistributes it
Used for: Temperature, rain, humidity, cloud, wind, evapotranspiration, hardiness, growing degree days, frost, chill and leaf-wetness hours.
Why it is reliable: ERA5 is produced by ECMWF, an independent intergovernmental weather organization, for the European Union's Copernicus programme. It blends decades of real observations (weather stations, satellites, balloons, aircraft) with a physical weather model, and it is one of the most widely used climate datasets in research and by national weather services. Open-Meteo is an independent open-source service that delivers the data through a simple interface without changing the values.
Where it falls short: A 0.25° grid cell (about 25 km) smooths local extremes and cold-air pockets. These are modeled values, not readings from a station on your land.
License: CC BY 4.0 (Copernicus) · Source website
SoilGrids 2.0Academic or non-profit
ISRIC – World Soil Information
Used for: Topsoil sand, silt, clay, pH, organic carbon, cation exchange capacity and coarse fragments.
Why it is reliable: ISRIC is an independent foundation in the Netherlands with a long-standing mandate for soil information and is a recognized data center for the international soil community. SoilGrids is described in a peer-reviewed scientific paper and is widely used in agricultural and environmental research.
Where it falls short: These are machine-learning predictions from soil profile records and satellite data at 250 m, with real uncertainty, and they are the weakest where soil samples are sparse. Only one cell is read per report. A lab test is the real answer.
License: CC BY 4.0 · Source website
USDA soil survey (SSURGO)Government agency
USDA Natural Resources Conservation Service (NRCS)
Used for: For sites in the United States: the soil map unit at the site and across the area, its main soils, topsoil texture, pH, organic matter and CEC, drainage, land capability class, farmland class, flooding, water storage and depth to bedrock.
Why it is reliable: SSURGO is the official US soil survey. Soil scientists walked the land, dug and described soil profiles, and drew the boundaries between soils, and NRCS publishes the results. It is the standard reference for US farm programs and land-use planning.
Where it falls short: Each value is an average for a mapped area that usually holds several soils, plus small patches of others, so it is not a measurement at your exact spot. Survey age and detail differ by county, and some areas (built-up land, water, some public land) are only roughly described. It covers the United States only.
License: Public domain (US government data) · Source website
AWS Terrain Tiles (Terrarium)Government agency
Elevation data compiled by NASA (SRTM) and the U.S. Geological Survey (3DEP), with national mapping agencies outside the US; tiles assembled by Mapzen and hosted in the AWS Open Data program
Used for: Elevation, slope, slope direction and the elevation and slope map layers.
Why it is reliable: The heights come from public elevation models produced by space and mapping agencies, such as NASA's Shuttle Radar Topography Mission and the U.S. Geological Survey, blended with national datasets. The tiles are published in the AWS Open Data registry so anyone can check them.
Where it falls short: Roughly 15 to 30 m detail. Trees and buildings can affect heights, and different source models are blended, so small terraces and ditches are not resolved.
License: Public domain in the United States (USGS 3DEP and NASA SRTM, courtesy of the U.S. Geological Survey). Outside the US, each national source model has its own attribution terms. · Source website
ESA WorldCover 2021Space agency
European Space Agency and a consortium of research partners
Used for: Land-cover shares (cropland, forest, built-up, water) and the land-cover map layer.
Why it is reliable: WorldCover is a global 10 m map made by the European Space Agency from Sentinel-1 and Sentinel-2 satellite images. ESA publishes an independent validation report with its accuracy figures, and the product is used by governments and researchers.
Where it falls short: Accuracy is good but not perfect (ESA reports roughly three quarters of pixels correct overall, and cropland is harder to map than forest or water). It shows land use in 2021, not the crop that grows there.
License: CC BY 4.0 · Source website
OpenStreetMap (Overpass and Nominatim)Foundation
OpenStreetMap contributors, supported by the OpenStreetMap Foundation
Used for: Place names and address search, rivers, canals, lakes and reservoirs, and the base map.
Why it is reliable: OpenStreetMap is a global map maintained by millions of contributors and used by governments, humanitarian agencies and large companies. Where mapping is dense (Europe, North America) rivers and lakes are usually well covered, and every edit is public and can be checked.
Where it falls short: Community mapped, so coverage varies by region. Small streams and seasonal water can be missing or out of date.
License: ODbL. Attribution to OpenStreetMap contributors is required. · Source website
Natural Earth 1:50m coastlineCartographic society (NACIS)
Natural Earth, a public-domain map dataset supported by the cartographic community (NACIS)
Used for: Distance to the sea.
Why it is reliable: Natural Earth is a long-running, carefully edited public-domain map dataset used in atlases and GIS teaching worldwide.
Where it falls short: A generalized coastline at 1:50 million scale, so distances are accurate to a few kilometers.
License: Public domain · Source website
GloFAS river dischargeIntergovernmental or EU program
ECMWF and the EU Joint Research Centre for the Copernicus Emergency Management Service
Used for: The river flooding indicator.
Why it is reliable: The Global Flood Awareness System is part of the EU's Copernicus Emergency Management Service and is used by civil-protection agencies for flood forecasting. It simulates river flow worldwide.
Where it falls short: A river-model cell of about 5 km, which may represent a nearby larger river or a small stream. It is an indicator, not a flood-zone map. Check official flood maps before buying.
License: CC BY 4.0 (Copernicus, Open-Meteo) · Source website
USGS Earthquake Catalog (ComCat)Government agency
U.S. Geological Survey
Used for: The earthquake indicator.
Why it is reliable: The U.S. Geological Survey is a U.S. federal science agency. Its catalog combines data from seismic networks around the world and is a standard reference for earthquake history.
Where it falls short: Completeness varies by region and time. Small earthquakes outside the United States may be missing. It shows history, not a hazard model.
License: Public domain · Source website
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