Full text: XVIIIth Congress (Part B4)

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a proposal for an operational environmental monitoring system 
for Asia and the Pacific region. (Hielkema, 1990 & 1992; 
Kalensky, 1992; Snijders, 1996). 
5.2.2 Monitoring Agriculture with Remote Sensing 
(MARS) 
Status: ongoing, regional - the European Union countries 
and several Central/Eastern European counties. 
Organization: Institute for Remote Sensing Applications of 
the European Union Joint Research Centre. 
MARS started in 1988 as a 10-year pilot project for the 
improvement of agricultural statistics in Europe through the 
use of remote sensing. This required development of new 
methodologies appropriate for the European agricultural land 
use conditions. MARS implementation strategy consists of the 
following four main components: 
(a) regional inventories of acreages of agricultural crops; 
(b) assessment and monitoring of vegetation conditions; 
(c) forecasting average yield of selected crops; 
(d) forecasting of crop production for selected crops. 
Over 100 public and private sector institutions from about 20 
European countries are participating in the implementation of 
the MARS project. The main remote sensing inputs consist of 
medium resolution Landsat and SPOT imagery, and low 
resolution (1 km) NOAA-AVHRR optical and thermal 
imagery. The applicability of radar imagery to agricultural 
statistics in Europe is being explored. While the medium 
resolution imagery is only obtained for coverage of sampling 
units, total covearge is provided by low resolution imagery. 
During the crop growing season, the NOAA-AVHRR imagery 
is daily processed into two regional mosaics: the normalized 
difference vegetation index and the surface temperature 
differences. MARS priority is now shifting from developing 
new methodologies to providing technical support for their 
operational applications. (Bernard & Meyer-Roux , 1994). 
$2.3 Forest Resources Assessment - 1990 (FRA-90) 
Status: ongoing - global 
Organization: Food and Agriculture Organization (FAO) 
of the United Nations. 
FAO, as part of its mandate, is conducting periodic 
assessments of global forest resources. The latest one, 
completed in 1995, was the Survey of Tropical Forest Cover 
and Study of Change Processes (FAO, 1996). Its main 
objectives were to provide reliable and globally consistent 
information on the state of the tropical forest cover and the 
rates of its change during the 1980s. Sampling design was 
based on two-stage stratification with 10% sampling intensity 
(117 sampling units out of the total of 1203). The area of 
sampling units (SU) for the assessment of the state of forest 
cover corresponded to one Landsat scene (34000 sq.km). The 
SU for change assessment were smaller because they 
corresponded to overlapping areas of two multidate (around 
1980 and 1990) Landsat images. In the humid tropics, the 
overlap area was often further reduced by clouds. If the cloud- 
free overlapping area was smaller than 10000 sq.km, the SU 
423 
was rejected. It happened in two SU, one in Colombia and one 
in Papua New Guinea. Landsat hard copy images at scale 
1 : 250 000 were interpreted at the regional and national 
institutes familiar with forest resources in the SU areas. 
Results were compiled in the form of global, regional and sub- 
regional statistics. and three types of maps: current and 
historical state of forest cover, and change maps. The “state of 
forest” maps have 10 land cover classes, the “forest change” 
maps 15 change classes. The area of the smallest mapping unit 
is 50 hectars. Future plans include testing the usefulness of 
satellite SAR imagery for global forest assessment, expanding 
the network of participating countries, transforming of FRA-90 
into a program for continuous assessment of global forests, 
and strengthening the existing linkages with a complementary 
project *Tropical Ecosystem Environment Observation by 
Satellite” (TREES) of the European Commission Joint 
Research Centre - Institute for Remote Sensing Applications. 
TREES is developing a methodology for forest mapping in 
humid tropics, based on the NOAA-AVHRR 1 km imagery. 
(Drigo, 1996; D'Souza et al., 1995; FAO, 1993; Lanly, 1992; 
Malingreau et al., 1994; Singh, 1992). 
5.2.4. Global Terrestrial Observing System (GTOS) 
Status: ongoing - global. 
Organizations: Food and Agriculture Organization (FAO) 
of the United Nations; 
United Nations Environment Programme 
(UNEP), 
World Meteorological Organization (WMO); 
United Nations Educational, Scientific and 
Cultural Organization (UNESCO); 
International Council of Scientific Unions 
(ICSU). 
The Global Terrestrial Observing System (GTOS) is one of 
three major global monitoring systems established in mid- 
1990s as a follow-up to the Earth Summit. The other two 
systems, complementary to GTOS, are the Global Ocean 
Observing System (GOOS) and Global Climate Observing 
System (GCOS). All three systems are interlinked. Close 
coordination of their implementation is an essential 
requirement for the achievement of their objectives. GTOS 
was established in response to a growing need for a 
systematic, long term monitoring of changes in the natural and 
managed ecosystems at a global level. Its Scientific Secretariat 
is hosted by FAO. GTOS plan of operation is based on a 
global network of some 100 field sites and transects, covering 
all the major terrestrial ecosystems. Its hierarchy of 
observational levels includes EO satellites, aerial platforms 
and surfase-based systems. Remote sensing will play a vital 
role in the following three areas: 
(a) monitoring changes in land cover and land use over large 
areas, 
(b) extrapolating local observations from GTOS field sites to 
larger areas; 
(c) ensuring a consistent set of measurements worldwide. 
Data management will be implemented at three levels: (i) the 
field sites (national level), (ii) the regional and thematic 
centres; and (iii) the global coordinating centre, managing 
the GTOS meta-database. An important characteristic of 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996 
 
	        
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