Soil and Terrain Database for Kenya (KENSOTER), version 2.0

The Soil and Terrain database for Kenya (KENSOTER), version 2.0, at scale 1:1 million, replaces version 1.0 . The update include changes in the GIS file and in the attribute database. The topographic base of KENSOTER was adapted to a version congruent to the Digital Chart of the World. The KENSOTER attribute database has changed with respect to the number of pedons stored and pedon attributes. The KENSOTER version 2.0 database contains a number of measured soil moisture contents at various tensions.

Citation proposal
. Soil and Terrain Database for Kenya (KENSOTER), version 2.0. http://data2.isric.org/geonetwork/srv/api/records/73e27136-9efe-49e4-af35-fd98b841d467

Simple

Date ( Revision ): 2007-10-02T01:00:00

Edition: Version 2.0

Presentation form: Digital map

Purpose

Status: Completed

Point of contact

ISRIC - World Soil Information - Bas Kempen (Researcher )

P.O. Box 353 Wageningen 6700 AJ Netherlands

Point of contact

Kenya Agricultural Research Institute (KARI) - Peter N Macharia (Head Kenya Soil Survey )

P.O. Box 14733 Nairobi 00800 Kenya

+254-020-4444144 (ext 264)

+254 020 4444144

Maintenance and update frequency: Not planned

Keywords ( Theme )

physiography , terrain , land , landform , lithology , geology , pedology , soils , soil type , soil classification , soil mapping , soil resources , soil conservation , soil properties , Environment , soter , soil water , organic carbon , acidity , salinity , primary data , soil degradation , soil analyses , soil physical properties , soil chemical properties

Keywords ( Place )

Kenya , East Africa

Region ( Discipline )

lithosphere , physical geography , land , soil (stratum) , pedology , soil science

Use constraints: Copyright

Other constraints: ISRIC - World Soil Information is pleased to make available a range of soil geographic and attribute data. Our databases were compiled using uniform methods (e.g., ISIS, SOTER, WISE). Strict quality-control measures were applied in developing the various databases but ISRIC does not warrant that the data are error free. Incomplete characterization data were available for many soil profiles because only selected measurements were undertaken during the original surveys. You are welcome to use the databases but you should be aware that the assessment of the accuracy and applicability of each dataset is strictly a USER RESPONSIBILITY; ISRIC takes no responsibility for problems that may arise from use of the databases. ISRIC requests you to acknowledge use of our data. This allows us to gauge the interest and usefulness of our services. Please refer to the data set documentation for suggested form of acknowledgement and citation. We kindly request that you send us two reprints of any publication that uses data received from ISRIC - World Soil Information. This will help us to determine the type and level of use of the data we distribute.

Spatial representation type: Vector

Denominator: 1000000

Metadata language: eng

Character set: UTF8

Topic category

Geoscientific information

Supplemental Information

Reference system identifier: WGS 1984

Distribution format

Shapefile ( )
kmz ( )
MS Access ( )
SQLite ( )

OnLine resource: Soil and Terrain Database for Kenya (KENSOTER), version 2.0
Downloadable data; ESRI shapefile format and MS Access and SQlite (zipped).

OnLine resource: soter_ke_map_unit
Soil and Terrain Database for Kenya (KENSOTER)

Hierarchy level: Dataset

Statement: The KENSOTER dataset 1:1 million was compiled in 1996 by the Kenya Soil Survey with technical backstopping and training provided by ISRIC -World Soil Information. The compilation was based on the - Exploratory Soil Map and Agro-Climatic Zone Map of Kenya-, scale 1:1 million (KSS 1982) and the many described and analysed soil profiles in KSS's database system. The database has been updated by (Batjes NH and Gicheru P 2004) and subsequently used for the sequestration of organic carbon stocks in soils at national level (GEF-SOC project). In 2007 the dataset was updated in respect of attribute data for the Green Water Credit project in the Upper Tana River catchment.