| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2020 |
| Язык | английский |
|
Панасюк Михаил Валентинович, автор
|
| Библиографическое описание на языке оригинала |
Almaz Sabirzyanov, Mikhail Panasyuk, Nikolai Trofimov and Svetlana Sochneva GIS-technology and data of earth remote sensing to identify and predict ravine erosion development // BIO Web Conf. Volume 27, 2020 International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2020), 00113 (2020) |
| Аннотация |
BIO Web of Conferences |
| Ключевые слова |
remote sensing, GIS-technology, ravine erosion |
| Название журнала |
BIO Web of Conferences
|
| URL |
https://doi.org/10.1051/bioconf/20202700113 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=244637 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Панасюк Михаил Валентинович |
ru_RU |
| dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2020 |
ru_RU |
| dc.identifier.citation |
Almaz Sabirzyanov, Mikhail Panasyuk, Nikolai Trofimov and Svetlana Sochneva GIS-technology and data of earth remote sensing to identify and predict ravine erosion development // BIO Web Conf. Volume 27, 2020 International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2020), 00113 (2020) |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=244637 |
ru_RU |
| dc.description.abstract |
BIO Web of Conferences |
ru_RU |
| dc.description.abstract |
This article discusses the study of the process of ravine erosion using geoinformation technologies and Earth remote sensing data. Ravine erosion, which develops on the territory of the Verkhneuslonsky municipal region of the Republic of Tatarstan, is considered as a multifactorial process. The possibility of using freely available data to study the factors affecting ravine erosion is evaluated. It is shown that in modern conditions of increased anthropogenic environmental impact, especially in areas heavily divided by ravines, the use of GIS technology is sufficient in order to monitor and quickly respond to negative erosion processes occurring on agricultural lands. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
remote sensing |
ru_RU |
| dc.subject |
GIS-technology |
ru_RU |
| dc.subject |
ravine erosion |
ru_RU |
| dc.title |
GIS-technology and data of earth remote sensing to identify and predict ravine erosion development |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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