Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris by Marghany Maged

Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris by Marghany Maged

Author:Marghany Maged
Language: eng
Format: epub
Publisher: Engineering Science Reference


Moreover, Google Earth provides also the geographical location of the black box of MH370 which is claimed based on its ping location (Figure 15). However, the black –box cannot be found since the start of MH370 on March 8, 2014, until now. Furthermore, Google Earth also spots the patches of the oil slick, which are scattered across the search area (Figure 16).

Figure 15. Black box pings location on Google Earth

Figure 16. Oil slick patches spot on Google Earth

Nevertheless, the Google Earth archive data require the surplus phases of image screen capture, the formation of a digital mosaic of the images, and georeferencing of the images with handheld GPS units. Conversely, these phases could potentially be circumvented if georeferenced possible debris images were already available (possibly as a donation from imagery providers) or possibly by writing or obtaining software to screen capture the whole image. Though should such georeferenced images or the screen capture software is not available, these phases are one decision to permit for georeferencing and integration of available satellite images. Moreover, this technique of creating a base map of MH370 data can be exercised utilizing any category of digital imagery, which are available, for instance, aerial photos.

Furthermore, an additional advantage of accomplishment georeferencing is that the data point accuracy can be improved to a positional accuracy of 5–6 m. Google Earth has a positional accuracy of 39.7 m (root-mean-squared error) (Chang et al., 2009).

Therefore, Google Earth is often considered as a rapid source of information. It includes all the imagery for each country of the world. In other words, Google Earth is a database viewer that combines satellite data to reconstruct a three-dimensional model (3-D) of the ocean and the Earth’s surface (Gorelick et al., 2017).

CONCLUSION



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