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Exploring the Unknown - NASA's History Office

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recommended that continuity of data collection be maintained with ano<strong>the</strong>r<br />

experimental satellite (ERTS-C) until an operational satellite system becomes available.<br />

However, even if nei<strong>the</strong>r an operational system nor ERTS-C is approved at<br />

this time, ERTS-B should never<strong>the</strong>less be launched in 1974 to extend <strong>the</strong> experimental<br />

operations conducted with ERTS-1. If <strong>the</strong>re has to be a gap, it would be<br />

preferable to get a stronger experimental base sooner and accept a hiatus between<br />

a more meaningful experimental phase and <strong>the</strong> operational system, ra<strong>the</strong>r than<br />

introduce an unnecessary hiatus into <strong>the</strong> middle of <strong>the</strong> experimental phase.<br />

3. The acceleration of ERTS-B, even if combined with a decision to proceed with<br />

ERTS-C for launch in 1976, as I have separately recommended, does not have<br />

budgetary implications that go beyond previously planned committed levels for<br />

space research and technology. The additional cost of ERTS-C can easily be<br />

accommodated within a total NASA budget well below <strong>the</strong> planning level of<br />

$3.2–3.4 billion (1971 dollars) agreed to in January 1972, as shown in my FY 1975<br />

budget letter of September 28, 1973.<br />

Now let me explain more fully <strong>the</strong> reasons for shifting <strong>the</strong> launch date of ERTS B to<br />

1974, independent of <strong>the</strong> related considerations discussed above.<br />

R&D Strategy<br />

OBSERVING THE EARTH FROM SPACE<br />

The research and development strategy for <strong>the</strong> ERTS program, for which NASA and<br />

<strong>the</strong> associated technical agencies are responsible, must be based on recognition of <strong>the</strong> fact<br />

that a multipurpose development program like ERTS cannot be treated like a classical<br />

hardware systems development with clearly identifiable decision points for separate phases<br />

of research, development, test, evaluation, and operations. We are dealing with a system<br />

and many potential applications [3] in which <strong>the</strong> experimental phase has to include<br />

(in different ways for each application) a whole variety of activities, including among o<strong>the</strong>rs:<br />

• Development and test of sensor performance capabilities.<br />

• Development and test of satellite hardware capabilities.<br />

• Development and test of data collection and relay capabilities.<br />

• Development and test of ground data processing to provide data in useful form<br />

for each of many applications.<br />

• Development of data analysis aids and methodologies to convert data into useful<br />

information.<br />

• Test of information utility in each application for management and decision-making.<br />

Two key points must be stressed: First, <strong>the</strong> satellite data requirements for experimentation<br />

necessary to achieve an adequate basis for evaluation are different for each class of<br />

potential application; and second, some of <strong>the</strong> most important potential applications<br />

require a data base of repetitive coverage extending over several years and/or quasioperational<br />

testing using current, near-real-time data.<br />

There are two major areas of ERTS applications that clearly appear to have great nearterm<br />

potential value and which illustrate <strong>the</strong> importance of <strong>the</strong> continuity of data an<br />

ERTS-B 1974 launch would provide. These are <strong>the</strong> areas of vegetation and water boundary<br />

discrimination. It has been demonstrated, for example, that ERTS data can be used to<br />

identity and separate different crops, monitor crop vigor, end measure crop acreage. To<br />

be useful in <strong>the</strong> development of systematic crop yield [4] predictions, <strong>the</strong>se techniques<br />

need to be applied to current growing seasons that are influenced by current climatology.<br />

The same holds true for measurement of forest stress under insect attack and for exact<br />

delineation of coastal wetlands by grass species discrimination: <strong>the</strong> dynamic nature of <strong>the</strong><br />

problem requires current data for current use. For hydrology applications like flood mapping,<br />

seasonal lake and pond assessments, water sedimentation and pollution measure-

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