66669

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Cattle’s Magnetic Alignment Case: Understanding Visual Aberrations of Satellite Imagery

Электронная публикация: 

Да

ISBN/ISSN: 

978-981-16-3349-2

DOI: 

10.1007/978-981-16-3349-2_28

Наименование источника: 

  • Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 245)

Город: 

  • Санкт - Петербург

Издательство: 

  • Springer

Год издания: 

2021

Страницы: 

337-348, https://link.springer.com/chapter/10.1007/978-981-16-3349-2_28
Аннотация
The paper considers the discovery with the help of Google Earth of the cattle magnetic alignment effect (MA effect), meaning the cattle under normal conditions in pastures tend to align the orientation of their bodies with the local direction of the Earth’s magnetic field. A paradoxical feature of the detected effect is noted—on the one hand, the convincing demonstration of the effect in space images, but on the other hand, the complete invisibility of the effect to the experts in husbandry for millennia. The specific aberrations of space images used in Google Earth are discussed: stroboscopic aberration and shuttering aberration, which inevitably and irreversibly distort the acquisition of data on cattle orientation. It is concluded that these two aberrations may have significantly biased the raw data. These aberrations are discussed as the most parsimonious explanation for the effect detected. It is suggested that MA effect should be verified by independent means in a methodologically correct manner. It is also concluded that there is a need to codify the aberrations of the space images, which is important in the era of digitalization of agriculture.

Библиографическая ссылка: 

Захарова А.А., ЕРЕМЧЕНКО Е.Н. Cattle’s Magnetic Alignment Case: Understanding Visual Aberrations of Satellite Imagery / Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 245). Санкт - Петербург: Springer, 2021. С. 337-348, https://link.springer.com/chapter/10.1007/978-981-16-3349-2_28.