- total trainees / year;
- total training / year;
— total training / state;
= total trainees / state;
- total trainees / remote sensing application
area;
- total trainees / profession.
3. RESULTS
With the information obtained through the
questionnaires, it was possible to have the first
profile about the Brazilian Remote Sensing
Community.
In 1988 the Community had the following
characteristics:
—- 627 of Brazilian Remote Sensing users were living
in the Southeast region (Sao Paulo, Rio de Janeiro,
Minas Gerais and Espirito Santo States). From this
amount, 45% were living in Sao Paulo State,the
richest and most developed State in Brazil where
INPE is located. 57% were living in Rio de Janeiro,
the second most important State in Brazil (Figure
13.
— 734 were living in the Southeast and South
regions (Parana, Santa Catarina and Rio Grande do
Sul States). These two regions represents only 30%
of the country,but they are the richest and most
developed regions in the country. Besides this, the
distance between the South region and INPE
headquarters is not very far.
—- 8,47 of the remote sensing users were living in
Brasilia, capital of Brazil, in the Central-West
region, The most important public institutions that
work on remote sensing, like the Ministry of
Agriculture, the Secretary of Mines, the Secretary
of Environment, etc, are located in Brasilia.
— 5,37 were living in the North region,the least
developed region in Brazil, that represents 50% of
the country area. The distance between INPE
headquarters and this region is very far.
The users were asked in wich country region they
had developed studies with remote sensing data in
the past five years. It was possible to identify
that:
- 297 developed studies in the Southeast
region;
- 197 developed studies in the South region;
- 18% developed studies in the Northeast
region;
- 177% developed studies in the North region;
- 17% developed studies in the Central-West
region.
As to their professional life, it was possible to
identify that:
—- 747 of remote sensing users were represented by:
- geologists (20%);
- geographers (19%);
- agronomists (15%);
- forest engineers (11%);
- cartographic engineers (6%);
- biologists ( 3%).
- 26% of the remote sensing users were represented
by: physicists, civil engineers, electronic
engineers, electric engineers, architects,
oceanographers, statisticians, navy officers,
agriculture engineers, system analists, army
officers, mechanic engineers, survey engineers,
university professors, lawyers, zootechnics,
chemist engineers, project engineers,
veterinarians, ecologists, psychologists and
mathematicians,
It was a surprise that so many different kinds of
professionals were involved with remote sensing.The
expectancy was that just the professionals with a
background in natural sciences were working on
remote sensing.
Till 1988 the remote sensing users had basically
developed projects in the following application
areas:
— land use- 15%;
- vegetation- 137;
- environmental analysis- 117;
- cartography- 97;
- water resources- 97;
— agriculture- 873;
- geology- 823
- geomorphology- 72;
- digital image processing- 67;
— pedology- 5%;
— urban studies” 47;
- meteorology- 22;
- military targets- 17
—- oceanography- 1%;
In this item, the fact that the users were usually
involved with more than one application area had to
be considered.
The kinds of remote sensing data used by these
professionals were:
- aerial photography ( BxW) - 2672;
- aerial photography ( color ) - 772;
- aerial photogtaphy ( IR color) - 972;
- aerial photography ( IR BxW ) - 32;
- LANDSAT /RBV - 57;
— LANDSAT/ MSS - 2072;
- LANDSAT/ TM - 13%;
- SPOT - 82;
- GOES - 31;
— NOAA - 32;
— RADAR/AM - 173
In this item, it had also to be considered that the
majority of the users used more than one kind of
remote sensing data.
In 1988, 837 of the remote sensing users got their
graduation between 1968 and 1987; 15Z, between 1948
and 1967; and just 177 were attending undergraduate
courses,
From this amount, 65% got their graduation after
1973, when INPE started tracking the LANDSAT
satellite,
40% had a master degree; 197 had a doctor degree;
1Z had a specialization degree; and 0,3% were
substitute professors.
Usually, these professionals were working in the
following institutions:
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