B. Economic Considerations
Few, if any adequate economic studies have been done to compare
the cost effectiveness of the presently operational detection-systems
against remote sensing systems. What would be required for such a study
would be total duplication of effort, except that one organization would
carry on with the "old" method, and another organization would apply
remote sensing methods, costs would be carefully accounted for, and the
results would be evaluated by comparison of the effectiveness of each to
complete the objectives of the survey. For example, see Can. Forestry
Service (1975), where a list and description of disease, insect and other
damaging impacts on the forest resource are given on a yearly basis.
When the cost of monitoring exceeds the value of the resource
being monitored, does monitoring stop? When damage is just beginning,
the monetary value expended by remote sensing is very small relative to
the total resource value. However, when the damage is extremely high
and widespread, the cost of monitoring is still the same, but it may be
higher than the value of the residual resource considered on a short-
term basis only. In such a case the worth of the lost resource is
greater than the cost of finding out what has been lost, and where the
loss occurred. What is required is a governmental economic committment
that would ideally have sufficient monetary allocations for adequate
surveillance and subsequent interpretation of vegetation damage in
susceptible zones at timely intervals. The economic committment could
be extended to a global effort by the United Nations. Considered as an
insurance program that is cashed in when the values saved from damage
are those values that would have been lost if the program had not been
in effect (Leuschner and Newton, 1974), the program would pay for itself.
C. Detection Reliability
We are beyond the point of film-filter studies, for "...
damage assessment has become the largest single use for colour aerial
photographs ..." (Myers 1974). A number of reports have indicated the
operational nature of remote sensing and photo interpretation in all
parts of the world (Annon 1972; Beaubein and Jobin 1974; Bradshaw 1974;
Ciesla et al. 1971; Ciesla 1974; Kenneweg 1974; Murtha 1973; Nelson and
Hartman 1975; Remeyn 1972; Sukhih and Sinitsin 1974). What needs to be
demonstrated to the general user-community is the interpretation relia-
bility and accuracy of the system. The remote sensing community has
suffered from the over-selling of certain sensing systems by enthus-
iastic individuals and agencies and consequently a "credibility-gap"
has deyeloped between the remote sensing community and the user-
community. Most of the over-selling has resulted from speculative
statements made at the end of inconclusive studies and quoted out of
context (Buys 1973). For the benefit of the "non-believers'" there have
been few, if any, duplicated studies directed at assessing the accuracy