Scholars have written open-source code that can distinguish between seawater and mucilage in satellite images, and analyzes the spread of sea saliva.
prof. Dr. Füsun Balık Şanlı stated that with the code written on this platform, they produced maps where they could distinguish the water surface and mucilage.
Stating that they determined the areas covered by the mucilage in the Marmara Sea with their coordinates, Şanlı said:
“With our study, analyzes can be made such as where the density is and where to start the work. We can determine where the dangerous areas are and where the spread is headed. Even if you go to the field by ship, it is very difficult to see the mucilage in the cleaning operations, since the area is very large. However, where is the mucilage with the code we wrote? We can follow the increase in the clustering and whether the cleaning process is successful or not, through the maps we will produce thanks to the code.
“Thanks to the code written, Şanlı stated that they were able to detect mucilage in as little as 1-2 minutes on the “Google Earth Engine” and said, “We can run the code and identify the places where there is risk. “When we do this continuously with satellite images, we can go to the regions we see as risky at a much earlier time for field analysis, and information can be produced to help take the necessary precautions.”
“Can be used as an early warning system for mucilage”
MCBÜ Geographical Information Systems Lecturer Osman Salih Yılmaz also stated that when the mucilage problem in the Marmara Sea came to the fore, they started a study to calculate the area covered by the mucilage, to determine the places where it is concentrated and the regions at risk.
Stating that they can detect mucilage accurately and quickly and produce maps thanks to the code they have written using remote sensing techniques, Yılmaz said that these maps will contribute greatly to cleaning efforts, and that they will also share this code in real time with experts working on mucilage who want to benefit from maps.
Noting that the method they use can be evaluated as a kind of “early warning system”, Yılmaz said, “With this code, we can determine within minutes at what stage the cleaning process is in the following periods, whether the mucilage has decreased or not. It can also be determined whether the spread has started in areas where mucilage has never been seen before. ” used the phrases.
Yılmaz, who has a doctorate in geographic information systems and remote sensing, and his advisors Assoc. Dr. Fatih Gulgen and Dr. He added that the work they have done with the contributions of Faculty Member Ali Murat Ateş will contribute to the cleaning activities.