Search for Flight MH370

Definition

The use of Geographic Information Systems (GIS) in aviation encompasses a wide range of applications, from managing spatial data to supporting complex navigational systems. In this particular context, GIS was employed to assist in the search for the missing Malaysian Airlines flight MH370 by utilizing satellite imagery.

What is Search for Flight MH370?

The search for flight MH370 represents a unique instance of leveraging crowd-sourcing and satellite imagery in an aviation context. Following the disappearance of Malaysian Airlines flight MH370 in March 2014, search efforts required innovative approaches to cover the vast and challenging area of the Indian Ocean. DigitalGlobe, a satellite imagery provider, played a crucial role by supplying high-resolution satellite images of the search area. This initiative allowed for broad participation in analyzing extensive datasets to identify possible debris or wreckage.

Crowd-sourcing became an essential component of the search strategy, where volunteers around the world were encouraged to examine satellite images using an online platform. This method not only expanded the workforce rapidly but also harnessed a diverse pool of analytical perspectives, enhancing the possibility of identifying significant clues. By dividing large spatial datasets into manageable sections, volunteers could focus on specific areas, marking any suspicious objects or anomalies. This approach was effective in narrowing down potential locations needing closer examination by search teams.

FAQs

How did DigitalGlobe contribute to the search for MH370?

DigitalGlobe provided high-resolution satellite imagery of the vast search area in the Indian Ocean, which was then divided into smaller sections for easier analysis. These images were made available to the public to facilitate a large-scale crowd-sourcing effort.

Why was crowd-sourcing important in the search for MH370?

Crowd-sourcing was crucial because it enabled a vast number of participants to examine the satellite images. This significantly increased the likelihood of identifying signs of debris or wreckage, as the data set was too large and complex for a limited team to analyze effectively within a short timeframe.

What are the challenges of using satellite imagery in aviation searches?

Challenges include the sheer volume of data, the difficulty of discerning significant objects in vast oceanic expanses, and the need for high-resolution images to identify small debris. Weather conditions, sea movement, and changes in the environment can also obscure or shift objects, making analysis complex.

How was the success of the crowd-sourcing effort measured?

Success was measured by the ability to identify potential search areas for further investigation by search and rescue teams. While identifying the exact location of the crash site involves various factors, the citizen analysts' contributions helped refine and narrow down the search field.