Soil Apps Tools
Interactive and innovative tools to access NRCS soils information.
View and analyze soil survey point and lab data in Access and Excel using a stand-alone Microsoft Access database application.
NCSS Soil Characterization Database (Lab Data Mart)
Allows you to generate, print, and download reports containing soil characterization data from the Kellogg Soil Survey Laboratory. Data can be viewed onscreen or downloaded in comma-delimited text files for use in other applications.
Software to enter pedon data for subsequent upload in the National Soil Information System (NASIS) database.
Citizen scientists can use this tool to gather soil exposures from across the country to build a national database of sites to visit in the field by educators, scientists, and the public.
Revised Universal Soil Loss Equation, Version 2 (RUSLE2) estimates soil loss caused by rainfall and its associated overland flow.
Series Extent Explorer
The Series Extent Explorer application can be used to quickly display and compare the approximate geographic distribution of up to five soil series.
Soil Data Mart
A set of custom tools by the Wisconsin State Soil Scientist for accessing SSURGO information.
Web tool to explore soil properties and landscapes through an interactive map. More detailed for the upper midwest. Developed by Purdue University.
Unique applications to easily explore SSURGO soil maps and data outside of Web Soil Survey. Developed by the University of California.
Web Soil Survey
Web Soil Survey (WSS) provides official soil data and maps produced by the National Cooperative Soil Survey. It provides access to the largest natural resource information system in the world.
Water Erosion Prediction Program (WEPP) predicts water erosion with a process-based, distributed parameter, continuous simulation, model for use on personal computers running Windows 95/98/NT/2000/XP/Vista/Windows7.
Wind Erosion Prediction System (WEPS) predicts many forms of soil erosion by wind such as saltation-creep and suspension including PM-10 using a process-based, continuous, daily time-step model that simulates weather, field conditions, crop growth, and hydrology.