FAO - Africover Data Set Metadata

The landform and lithology has been produced from visual interpretation of digitally enhanced LANDSAT TM images acquired mainly in the year 1999. the landform classes have been developed using the ITC (International Institute for Geo-Information Science and Earth Observation) and SOTER (Soil and Terrain Database) methods.

Purpose:

The purpose of the Africover landform database is to provide the information required for natural resource assessment and management, environmental modeling and decision-making.

Completedness/Progress Code:

Complete

Theme Keywords:

landform, lithology, geomorphology, natural resources, management

Place Keyword:

Eritrea

ISO Topic Category:

Earth Cover

Supplemental Infomation:

The structure of the derived legend follows a specific criteria that allows and easy correlation between these classes and the standardised one listed in LCCS (SOTER classification first and second level). SOTER is a pure Parametric or Morphometric classification. The main origin or process of terrain units is an important descriptive element because it realtes to the dominant exogenous or endogenous processes. this aspect in a general classification gives a meaningful grouping and has analytical value. The proposed legend is structured in such a way that it can be read, not only from the Morphometric point of view as in SOTER, but also taking into account the main origin and the age of landforms (mainly derived from the lithology legend). Lithology is linked with the mapping units, but is listed seperately. See the full landform/lithology legend in the resource section.
Resources:

Title	Description
Landform and Lithology Legend	This document contains the full landform and lithology legend for East Africa. 130560 (bytes)
Landform Glossary	Contains the defintions for all major landforms. 95061 (bytes)

Direct Spatial Reference Method:

Vector

Data Format:

ESRI ArcView Shapefile (.shp)

Scale of the Dataset:

1:350 000

Dataset Language:

English

Dataset Character Set:

usAscii

Resource Provider:

Mr. Antonio Di Gregorio - FAO Africover

Point of Contact:

Mr. Antonio Di Gregorio - FAO Africover

Custodian:

Mr. Yemane Tekleyohannes - National Food Information System - Ministry of Agriculture

Owner:

Mr. Yemane Tekleyohannes - National Food Information System - Ministry of Agriculture

Originator:

Mr. Antonio Di Gregorio - FAO Africover

Processor:

Mr. Antonio Di Gregorio - FAO Africover

Publisher:

Mr. Antonio Di Gregorio - FAO Africover

Distributor:

Mr. Antonio Di Gregorio - FAO Africover

Lineage Statement:

The landform was interpreted from LANDSAT imagery acquired mainly in the year 1999, verified by field work, digitised, checked for topological and attribute errors and mosaiced.

Data Quality Comment:

Restrictions:

The data remains full property of the owners. It can be accessed, reproduced and distributed given that the owner information is explicitly acknowledged and displayed in the copyright information (I.E. Produced by FAO - Africover). The authors do not assume any responsibilities for improper use of the data.

Update Frequency:

As Needed

Reference System Information:

Geographic Reference System
Units:	Decimal Degrees
Ellipsoid:	WGS 84
Datum:	WGS 84

Spatial Representation:

East Bounding Longitude:

43.24

West Bounding Longitude:

36.43

North Bounding Latitude:

18.0

South Bounding Latitude:

12.36

Extended Information:

Project Code:

GCP/RAF/287?ITA

MCDB File Type:

normal

Entry Type Code:

dataset

Minimum Viewing Scale:

1:1 000 000

Maximum Viewing Scale:

1:350 000

Data File Name:

er-landform

Metadata Information:

Metadata Language:

English

Metadata Character Set:

usAscii

Metadata Provider:

Mr. John Latham - FAO

Metadata Time Stamp

2003-04-08

Metadata Standard Name:

ISO 19115

Metadata Standard Version:

DIS

Data Definitions:

Data Classification:

On Demand

Data Type:

Full Resolution Data Set

Web Map:

Link(s):

Not Available

Data Access:

File:

Not Available

Request Custom Aggregation >>

CD:

Not Available

<< Return

Important Note: The Africover Data Sets are NOT for commercial or private use.