formats of CORINE products. The CORINE land cover
classification system consists of three levels, with 44 classes
in the third level. The inventory results are compiled at a
mapping scale 1 : 100 000. The area of the smallest mapping
unit is 25 hectars. Landsat-TM and SPOT digital and hard
copy images are the primary source of RS data. Ancillary data
inputs include the existing topographic maps, thematic maps
related to land cover, aerial photographs and statistical
information. Some countries are also producing land cover
inventories at 1 : 50 000 scale, based on SPOT imagery. All
land cover inventory data are digitized, georeferenced,
transformed to a common cartographic projection and
integrated with GIS-based comprehensive CORINE database.
The Lambert Azimuthal Equal Area Projection was selected as
the standard cartographic projection system for CORINE. In
order to facilitate timely dissemination of land cover and other
environmental information stored in the CORINE database,
the EEA is establishing the European Information and
Observation Network (EIONET), linked with Internet.
5.1.3 Global Map
Status: implementation starting in 1996 - global.
Organization: Geographical Survey Institute (GSI), Japan.
The Global Map concept has been initiated by Japan in
response to recommendations by the Earth Summit ( Section
1). Its plan of action, the Agenda 21, identified a lack of
reliable geographic information as one of the most serious
impediments to sustainable development. The Global Map’s
objective is to establish a comprehensive digital geographic
database, containing topographic and land cover information
at 1km level, and to produce a hard copy global map at 1 : 1
million scale by the year 2000. Its main data source will be
satellite RS data recorded by the NOAA-AVHRR system with
approximately km ground resolution (Section 2.2),
complemented by the medium resolution satellite RS data
(Sections 2.3 & 2.4). In addition, the Globe Map database will
incorporate existing geographic databases, relevant to global
mapping at 1 : 1 million scale. Examples of such databases are
the Digital Chart of the World (DCW) at 1 : 1 million scale
(Danko, 1992) and the Global Land 1km Baseline Elevation
(GLOBE) database, both produced by the United States; the
international Global Land Cover Characteristics Database,
based on 1km RS data from the NOAA-AVHRR system; as
well as selected geographic databases compiled at the regional
and national levels. (GSI, 1995; Kondo, 1994). The
International Steering Committee for Global Map was
established during the Second International Workshop on
Global Mapping, held in Tsukuba, Japan, in February 1996.
5.1.4 EARTHMAP
Status: proposal - global.
Organizations: US Department of State
US Agency for International Development
The World Bank
Earth Council
Environmental Systems Research Institute.
The Earthmap proposal is a joint initiative by the U.S. public
and private sector, the World Bank and the Earth Council. Its
overall objective is to promote and facilitate wider application
of geospatial data and tools in sustainable development
projects. In order to achieve this objective, the EARTHMAP
would participate in building a Global Geospatial Framework.
It would involve development of an multiscalar digital world
map framework, within which different types of existing and
new geospatial data would be inventoried, organized,
processed, integrated and distributed in user-friendly,
standardized formats. Other proposed activities include
improvement of linkages among the existing geospatial data
archives; increasing the users’ awarness and strengthening
their institutional capacities in the use of geospatial data and
tools; and establishment of Internet-based information network
on geospatial applications. The EARTHMAP proposal also
includes updating the Digital Chart of the World at 1:1 million
scale with new satellite imagery, and exploring the
development of the next generation global base map.
Implementation of the EARTHMAP would be coordinated by
a consortium of public, private and international organizations,
(Wood et al., 1995).
5.2 Environmental Monitoring
5.2.1 Africa Real Time Environmental Monitoring and
Information System (ARTEMIS)
Status: ongoing, regional - Africa.
Organization: Food and Agriculture Organization (FAO)
ofthe United Nations.
FAO has been operationally monitoring precipitation and
vegetation in Africa by its dedicated Africa Real Time
Environmental Monitoring and Information System
(ARTEMIS) since August 1988. The main purpose is to
provide timely RS inputs for early identification of agricultural
drought and desert locust risk areas. Development of the
ARTEMIS system had benefited from the FAO experience
with the application of RS data from the meteorological polar-
orbiting and geostationary satellites to environmental
monitoring in Africa. FAO started to experiment with the use
of such RS data for environmental assessments in Africa at
the end of 1970s. (Hielkema, 1980; Kalensky et al., 1985).
The reason was an urgent need for timely and regular
environmental assessments in Africa by the FAO Food
Security Early Warning System, and by the Regional Desert
Locust Control operations in Africa and Middle East. In 1988,
the ARTEMIS, which was developed by the National
Aerospace Laboratory of the Netherlands, became the first
system for operational applications of meteorological satellite
RS data to environmental assessments. Two.types of RS data
are used by ARTEMIS: thermal imagery recorded by the
European geostationary satellite Meteosat, and the visible and
near-infrared imagery from the Advanced Very High
Resolution Radiometer (AVHRR) on-board of the U.S. NOAA
series of polar orbiting satellites . The Meteosat imagery is
recorded by the FAO receiving station at 30 minutes intervals.
The NOAA-AVHRR imagery, recorded daily, is transmitted
to FAO from the NASA Goddard Space Flight Center. It 1s
processed into the Normalized Difference Vegetation Index
(NDVI) products. All ARTEMIS precipitation-related and
NDVI products are produced in digital and hard-copy formats
with 7.6 km ground resolution at 10-day and monthly
intervals. Based on the ARTEMIS experience, FAO prepared
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International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996