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Exploring the Unknown - NASA's History Office

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266<br />

OBSERVING THE EARTH FROM SPACE<br />

security programs.<br />

[7] The spatial resolution achieved with multi-spectral scanning sensor in ERTS-1 is adequate<br />

to produce raw imagery that suggests a wide range of commercial/civil applications.<br />

It is not <strong>the</strong> case, however, that ERTS-1 and Skylab/Apollo experiments have given us <strong>the</strong><br />

experience to permit <strong>the</strong> design of a remote sensing satellite appropriate to an economically<br />

viable, operational system. This is so primarily because of inadequate experience with<br />

application-specific image processing and interpretation. But even <strong>the</strong> space segment is in<br />

an early stage of development.<br />

ERTS-1 is deficient in resolution for applications such as land use planning.<br />

Frequency of observation of a given point is not sufficient given <strong>the</strong> random interruption<br />

of cloud cover, for time-dependent problems in flood control, agricultural monitoring,<br />

iceberg tracking, etc. As a result, turnaround time between observation and analysis is too<br />

long for many purposes. Although technology exists to remedy <strong>the</strong>se deficiencies, we do<br />

not have enough systems experience, with both satellite configurations and image data<br />

processing and analysis, to make <strong>the</strong> tradeoffs between <strong>the</strong>se functional attributes and systems<br />

costs.<br />

One must remember that ERS applications are in <strong>the</strong>ir infancy. Although <strong>the</strong> technical<br />

capability to acquire images, generate geometric and radiometric corrections, and<br />

extract information by image enhancement have been [8] demonstrated, <strong>the</strong> majority of<br />

applications research projects to date involve manual (visual) processing of primary<br />

images. These images are available several weeks after data acquisition.<br />

A fully operational system would have to provide digital primary imagery to widely dispersed<br />

customers in approximately real time. This primary imagery is only <strong>the</strong> first step.<br />

The ground-based image filtering and contrast adjustment, information extraction and<br />

interpretation impose heavy data processing requirements. Correlation with ground truth<br />

data and final interpretation are tasks requiring very high levels [of] professional expertise,<br />

and extensive experience with end-use problems, institutions and customs. Since<br />

<strong>the</strong>se interpretation services are <strong>the</strong> key to obtaining <strong>the</strong> benefits from remote sensing<br />

technology[,] decisions on <strong>the</strong> major international political issues and on <strong>the</strong> character of<br />

<strong>the</strong> follow-on space projects must be made with <strong>the</strong> desired institutional structure for <strong>the</strong><br />

service delivery system clearly in mind.<br />

The first step is <strong>the</strong> study of <strong>the</strong> economics with a view to evaluating <strong>the</strong> commercial<br />

potential for developing <strong>the</strong> services. At this time <strong>the</strong> institutional structure for exploiting<br />

an operational remote sensing system does not exist. A few commercial companies with<br />

substantial support from government R&D contracts are hoping to create a service business<br />

out of proprietary satellite photo interpretation. Several not-for-profits are developing<br />

experience, also on government contracts.<br />

[9] It would appear that <strong>the</strong> conditions required to make information services based on<br />

remote sensing technology economically viable call for:<br />

(a) Realistic evaluation of <strong>the</strong> total costs of processing, interpreting and marketing<br />

information as well as its initial acquisition. On a per-image basis, <strong>the</strong> space segment of <strong>the</strong><br />

system may prove <strong>the</strong> least expensive.<br />

(b) Identification of applications with very high economic leverage for which remote<br />

sensing from space is more economical than ground or airborne observation and for<br />

which a market can be aggregated.<br />

(c) Determining <strong>the</strong> extent to which <strong>the</strong> economic leverage depends on exclusivity<br />

of access to ei<strong>the</strong>r <strong>the</strong> raw data or to <strong>the</strong> processed and interpreted data in order to permit<br />

a proprietary advantage,<br />

(d) Definition of [U.S. government] policies affecting <strong>the</strong> applications system economics—as<br />

well as international issues—and <strong>the</strong> establishment of <strong>the</strong> point of responsi-

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