Africa Soil Classification by Wilson and Henderson-Sellers

New-ID: NBI24

Wilson and Henderson-Sellers soil classes and soil class
reliability. The Wilson and Henderson-Sellers Soil Classes Dataset
Files: AFWSOILS.IMG Code: 100043-001 AFWSOILR.IMG 100043-002 Raster
Members The IMG files are in IDRISI format. The Wilson and
Henderson-Sellers soils data set is part of Wilson Henderson-Sellers
land cover and soils for global circulation modeling project was
developed by the World Data Center-A (WDC-A) for Solid Earth
Geophysics, operated by the U.S. National Geophysical Data Center
(NGDC). The dataset is part of the World Data Bank II. This data Bank
is provided on a Database on diskette called The Global Change Data
Base. The Data Bank II is part of larger project called Global
Ecosystems Database Project. This is a cooperation between the
National Oceanic and Atmospheric Administration (NOAA), NGDC and the
U.S. Environmental Protection Agency (EPA). The National Center for
Geographic Information and Analyses (NCGIA) in Santa Barbara,
California joined the project to assist with training and evaluation.
A nominal 10 arc-minute scale was chosen to provide compatibility with
other scales and because this corresponds closely with the resolution
of global AVHRR coverage. All data are provided in geographic
(longitude/latitude) projection. The dataset is accompanied by an
ASCII documentation file which contains information necessary for use
of the dataset in a GIS or other software.

Contact : Roy Jenne, NCAR, P.O. Box 3000, Boulder, CO 80307-3000

The AFWSOILS file shows Wilson/Henderson-Sellers Soil Classes
The ASWSOILR file shows Wilson/Henderson-Sellers Soil Class Reliability

References:
Wilson, M.F/ and A. Henderson-Sellers. A global archive of land
cover and soils data for use in general ciruclation climate
models. Journal of Climatology, vol.5, pp.119-143.

Source : Digitized from available sources: FAO/UNESCO Soil Map of the
World. Oxford Regional Economic Atlas of USSR and Eastern Europe
Publication Date : 1985
Projection : Lat/Lon
Type : Raster
Format : IDRISI