eh iacu A EAN
M XN A A ES
While meteorological satellites need low resolution (5 km pixel) at fre
% hr.), remote sensing satellites require medium resolution (30 to 8
cartographic satellites require much higher resolutions (10 m and b
10 days.
quent times (every
Om) every 10 to 30 days;
Stter) at intervals from 1 to
Table 4 describes the new requirements in the light of new technological developments.
TABLE 4: NEED FOR LAND INFORMA TION
TYPE OF ECONOMY ENTIRE TERRITORY PRIORITY AREAS
USE SCALE USE SCALE
Agricultural Transportation 1:200000 Tax Cadastre 1:5000
Military 1: 100000 to
1:50000
Industrial Resources 1:50000 Construction
Management Projects 1:2000
Satellite
Image Ownership
Data Base Cadastre 1:1000
Service Oriented Regional 1: 10000 Urban 1:500
Planning Planning Urband
Geographic Information
Informa tion System
System
Mapping requirements should be tied to economic activity. Areas with agricultural economic
predominance only need to satisfy their transportation and military requirements with priority
unless tax levies are imposed on property ownership, necessitating an inventory of properties.
In an industrial environment resource maps at the scale of 1: 50.000 are required for planning
of the resources. In this area of mapping, present photogrammetric techniques provide the topo-
graphic base onto which thematic information concerning agriculture, land use and land develop-
and therefore they are not done except for projects. But the use
techniques may permit a breakthough in resource mapping to update and to complement infor-
mation economically and fast.
Within the service oriented urban requirement a large scale information system is required,
which permits the integration of legal rights to land such as ownership and use of the land to to-
pography, to the service infrastructure and even to data collected by a census. Such a goegrap hic
or urban informa tion system is required to manage and plan populated areas effectively in order
to solve existing problems and to avoid them in the future.
Photogrammetry and remote sensing is therefore faced with the challenge to make its techno-
logy more efficient so that the required intormation can be obtained in the shortest possible time
and with the best possible quality.
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