The Future Growth Of Geospatial Intelligence And Its Impact On The Defence Sector

The definition of geospatial intelligence is not standard. It covers many aspects related to the collection of information. It is more like a network of many concepts, rather than one single concept. This knowledge can be acquired by simply placing assets on the ground in an area to be examined. Data could include topography and income demographics. Geoint, or as it is often called, requires the study and processing of data concerning all of these groups.

If a country needed to assess a city’s military potential to determine its battle outcome, the above-mentioned material could be very useful. For the Generals in Charge to determine the best route to follow to avoid any enemy ambushes or counterattacks, they would need to have a good understanding of the terrain. They will also need to identify the areas where people are densely packed in order to avoid this area and minimize collateral damage. They would also need to know the location of industrial areas in order to neutralize them and reduce enemy military power. To determine the best place to strike, they may need to know who the income demographics are if the goal of the attack was to freeze and capture monetary assets.

Electronic surveillance is required for geospatial intelligence collection. This could be an unmanned reconnaissance aircraft, orbiting satellite or fully-crewed aircraft. Each surveillance component would add its observations to the chain for analysis and actions. Although the mission might be to report on seemingly insignificant data, the single agent on ground may not understand the reasons behind it. The top people in the chain of command know. The same goes for aerial photographs. A tiny detail might make all the difference in what those in command plan.

Although it is possible to process very small amounts of operational geint by human analysis, an entire intelligence network gathering data will require computer assistance. This will allow one to accurately analyse the data. You should have the best equipment and highly qualified staff available for this analysis. It is very important to have human input as well as analysis in order to enhance the computers. Although computers can be very useful in collating data that is based on specific criteria, they cannot replace human experience and analysis. The worst thing is not having any information.

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