Our Problem Vs
Our Image!!!
All remote sensing projects begin with a problem we are trying to solve: We may want to
find out where the oil is,
where to drill, the best way to get to a drill site, and where to build a pipeline or a gas plant for the least
cost and with minimal environmental disruption. We may wish to lay out a seismic program most efficiently or find
out where a competitor has shot a seismic program. We require a source of water for drilling, for a coal slurry
pipeline, or for keeping dust down in a mining operation. If we are involved
with mineral exploration, we will be looking for any evidence of mineralization in
a new mineral province, or which direction to extend a known deposit. We need
to know the
state of the terrain before mining so that we know how to restore it to its pre-mining condition. Was
there natural acid drainage before mining or is it coming from the tailings
ponds?
In order to determine the
best imagery to evaluate, we must know what
we are looking for. Is the
area large or small? Does our problem require us to see fine details (centimeters
up to 10 m resolution), moderate
detail (20–100 m resolution), or regional features (100 m to 1 km resolution or more)? What scale do we wish to work with? Do we need to detect color changes (e.g.,
lithology, alteration) or vegetation stress?
Is the area always under clouds? Is the area in a polar region that has an extended dark season? Are
we looking for changes in moisture conditions? Is the area under water? Do we require or want a certain date or specific time of year? Do we need
multitemporal (repetitive) coverage or historical coverage? Finally, how much time do we have and
what kind of budget do we have to work with? Should we go to a vendor, the
government, or process the data ourselves? The answers
to these questions will determine the products that are acquired and the types
of analyses that are possible.
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