Forum Response: Homeland Security
Post 1 Response: Jessica
In her post, Jessica outlines that she learned the difference between Geospatial-Intelligence and Intelligent Collection in her fist week as geospatial intelligence is of more about analysis. Moreover, she states that she did not have nugget knowledge when first entering into the community because of her unusual nature. Although she believes information analysis is equally a crucial step in the intelligent cycle, it is diverse from information collection and more independent. However, both geospatial intelligence and intelligence collection adversely benefit from understanding their missions to natural communication and understanding between the two settings (Kussul et al., 2015). Don't use plagiarised sources.Get your custom essay just from $11/page
The post adequately captures both geospatial intelligence and intelligence collection, meaning to support its arguments on the subject thoroughly. Moreover, her analysis is self-centered, and when she was first introduced into the geospatial intelligence community, her observations are clearly stated. For example, she could notice a friendly rift between the geospatial information analysts and those primarily mandated with imagery analysis on the doctrine of imagery, imagery analysis, and geospatial analysis. Besides, geospatial intelligence analysts are not part of collections since they do not collect data but analyze.
Whilst Jessica covers most of the vital areas in defining geospatial intelligence and intelligence collection, she fails to bring the difference between the two concepts as she only focuses on one segment. That includes the analysis of all types of imagery across the electromagnetic spectrum with the intent of turning the information provided by the imagery into some more useful intelligence information. It is worthy to note that if people cannot understand the difference between geospatial intelligence and intelligence collection, it will be hard for them to execute their duties well (Paik & Pirolli, 2015).
Post 2 Response: Christopher
Christopher defines geospatial intelligence as the exploitation and analysis of imagery and geospatial information to define, access, and virtually depict physical features and geographically referenced activities on the world. He emphasizes that geospatial information is not a collection method but rather an analysis and exploitation of imagery and geospatial information and includes all the types of imagery across the electromagnetic spectrum. According to Kussul et al. (2015). geospatial intelligence intends to turn the information provided by the imagery into a piece of useful intelligence information in all the levels of operational intelligence.
According to the post, geospatial information cover virtually everything on earth as NGA provides imagery and analysis in seven categories, including topographic, maritime, aeronautical, human geography geodetic data, geographic boundaries, and names as well as elevation which is quite an extensive overview of the subject. Moreover, Christopher covers everything from human population trends to navigation information, where all information can be combined into one shop for information users for imagery analysis and data selection. Further, he uses tangible comparisons and tangible elements to explain his points in geospatial intelligence and information collection, thus making his work more logical and credible.
However, although Christopher extensively analysis geospatial intelligence and intelligence, clearly detailing with factual information how they are executed as well as their difference, he fails to spring out the connection between the two intelligence concepts. Moreover, he does not separate the roles of geospatial intelligence analysts to those of intelligence information to point out the reason geospatial information was not included in the intelligence collection class. It is worth noting the difference in the two intelligence concepts for one to adequately perform their duties without interfering with other roles (Paik & Pirolli, 2015).
References
Kussul, N., Shelestov, A., Basarab, R., Skakun, S., Kussul, O., & Lavrenyuk, M. (2015). Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems. ICTERI, 1356, 196-203.
Paik, J., & Pirolli, P. (2015). ACT-R models of information foraging in geospatial intelligence tasks. Computational and Mathematical Organization Theory, 21(3), 274-295.