Use of remote sensing data for long-term monitoring of agricultural landscapes
The article presents an analysis of the joint use of data from the Landsat 8 and Sentinel 2 satellites to form long-term monitoring of agricultural landscape vegetation using example of the Georgievsky district in Stavropol Region. The features of the satellite data correction to assess the state of...
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| Format: | Article |
| Language: | Russian |
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North-Caucasus Federal University
2022-09-01
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| Series: | Наука. Инновации. Технологии |
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| Online Access: | https://scienceit.elpub.ru/jour/article/view/200 |
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| author | Sergey Anatolevich Antonov Andrey Vladimirovich Skripchinskii |
| author_facet | Sergey Anatolevich Antonov Andrey Vladimirovich Skripchinskii |
| author_sort | Sergey Anatolevich Antonov |
| collection | DOAJ |
| description | The article presents an analysis of the joint use of data from the Landsat 8 and Sentinel 2 satellites to form long-term monitoring of agricultural landscape vegetation using example of the Georgievsky district in Stavropol Region. The features of the satellite data correction to assess the state of vegetation are considered. The statistical analysis of the vegetation index (NDVI) obtained from the data of Landsat 8 and Sentinel 2 satellites revealed the identity of statistical indicators. The possibility of long-term satellite monitoring of vegetation health from Landsat 8 and Sentinel 2A satellites by calculating the vegetation index (NDVI) is established and statically proven on the basis of images with geometric and radiometric correction. |
| format | Article |
| id | doaj-art-af26ff85047c42458d39a3b615af4f98 |
| institution | DOAJ |
| issn | 2308-4758 |
| language | Russian |
| publishDate | 2022-09-01 |
| publisher | North-Caucasus Federal University |
| record_format | Article |
| series | Наука. Инновации. Технологии |
| spelling | doaj-art-af26ff85047c42458d39a3b615af4f982025-08-20T02:49:13ZrusNorth-Caucasus Federal UniversityНаука. Инновации. Технологии2308-47582022-09-010289100199Use of remote sensing data for long-term monitoring of agricultural landscapesSergey Anatolevich Antonov0Andrey Vladimirovich Skripchinskii1North-Caucasus Federal UniversityNorth-Caucasus Federal UniversityThe article presents an analysis of the joint use of data from the Landsat 8 and Sentinel 2 satellites to form long-term monitoring of agricultural landscape vegetation using example of the Georgievsky district in Stavropol Region. The features of the satellite data correction to assess the state of vegetation are considered. The statistical analysis of the vegetation index (NDVI) obtained from the data of Landsat 8 and Sentinel 2 satellites revealed the identity of statistical indicators. The possibility of long-term satellite monitoring of vegetation health from Landsat 8 and Sentinel 2A satellites by calculating the vegetation index (NDVI) is established and statically proven on the basis of images with geometric and radiometric correction.https://scienceit.elpub.ru/jour/article/view/200дистанционное зондированиеуровни обработкивегетационный индексагроландшафтмониторингremote sensingprocessing levelsvegetation indexagricultural landscapemonitoring |
| spellingShingle | Sergey Anatolevich Antonov Andrey Vladimirovich Skripchinskii Use of remote sensing data for long-term monitoring of agricultural landscapes Наука. Инновации. Технологии дистанционное зондирование уровни обработки вегетационный индекс агроландшафт мониторинг remote sensing processing levels vegetation index agricultural landscape monitoring |
| title | Use of remote sensing data for long-term monitoring of agricultural landscapes |
| title_full | Use of remote sensing data for long-term monitoring of agricultural landscapes |
| title_fullStr | Use of remote sensing data for long-term monitoring of agricultural landscapes |
| title_full_unstemmed | Use of remote sensing data for long-term monitoring of agricultural landscapes |
| title_short | Use of remote sensing data for long-term monitoring of agricultural landscapes |
| title_sort | use of remote sensing data for long term monitoring of agricultural landscapes |
| topic | дистанционное зондирование уровни обработки вегетационный индекс агроландшафт мониторинг remote sensing processing levels vegetation index agricultural landscape monitoring |
| url | https://scienceit.elpub.ru/jour/article/view/200 |
| work_keys_str_mv | AT sergeyanatolevichantonov useofremotesensingdataforlongtermmonitoringofagriculturallandscapes AT andreyvladimirovichskripchinskii useofremotesensingdataforlongtermmonitoringofagriculturallandscapes |