Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia
The study, effective management, and rational use of mountain grasslands are becoming increasingly important due to the threat of natural and human-induced degradation. In Armenia, this remains a critical issue that requires comprehensive monitoring and consistent management. The application of remo...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/171/2025/isprs-archives-XLVIII-G-2025-171-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849245920584007680 |
|---|---|
| author | G. Ayvazyan A. Medvedev A. Hovsepyan A. Khlghatyan S. Asmaryan |
| author_facet | G. Ayvazyan A. Medvedev A. Hovsepyan A. Khlghatyan S. Asmaryan |
| author_sort | G. Ayvazyan |
| collection | DOAJ |
| description | The study, effective management, and rational use of mountain grasslands are becoming increasingly important due to the threat of natural and human-induced degradation. In Armenia, this remains a critical issue that requires comprehensive monitoring and consistent management. The application of remote sensing provides an opportunity to detect stressed and harmed vegetation, which in turn helps to assess the state of biomass. In this study, remote sensing data were used to determine the state of pasture vegetation, which is an important forage base, in conditions of vertical zonation in a small area. In addition, the data were used to develop a rational grazing regime for pasture users. The results show that incorrect grazing practices are observed in certain landscape zones. Livestock breeding is mainly concentrated in the meadow-steppe zone, which can lead to overgrazing. Meanwhile, other zones are underutilized due to premature livestock relocation. This study aims to use remote sensing to assess the vegetation condition of grasslands located in altitudinal landscape zones during the growing season and, based on this, help users optimize grazing, organize rational grassland management, and avoid overgrazing. |
| format | Article |
| id | doaj-art-167a24eeeab64165b5d63f799a156b2b |
| institution | Kabale University |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-167a24eeeab64165b5d63f799a156b2b2025-08-20T03:58:40ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-07-01XLVIII-G-202517117610.5194/isprs-archives-XLVIII-G-2025-171-2025Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in ArmeniaG. Ayvazyan0A. Medvedev1A. Hovsepyan2A. Khlghatyan3S. Asmaryan4Center for Ecological-Noosphere Studies, National Academy of Sciences, Abovyan Street 68, Yerevan 0025, ArmeniaCenter for Ecological-Noosphere Studies, National Academy of Sciences, Abovyan Street 68, Yerevan 0025, ArmeniaCenter for Ecological-Noosphere Studies, National Academy of Sciences, Abovyan Street 68, Yerevan 0025, ArmeniaCenter for Ecological-Noosphere Studies, National Academy of Sciences, Abovyan Street 68, Yerevan 0025, ArmeniaCenter for Ecological-Noosphere Studies, National Academy of Sciences, Abovyan Street 68, Yerevan 0025, ArmeniaThe study, effective management, and rational use of mountain grasslands are becoming increasingly important due to the threat of natural and human-induced degradation. In Armenia, this remains a critical issue that requires comprehensive monitoring and consistent management. The application of remote sensing provides an opportunity to detect stressed and harmed vegetation, which in turn helps to assess the state of biomass. In this study, remote sensing data were used to determine the state of pasture vegetation, which is an important forage base, in conditions of vertical zonation in a small area. In addition, the data were used to develop a rational grazing regime for pasture users. The results show that incorrect grazing practices are observed in certain landscape zones. Livestock breeding is mainly concentrated in the meadow-steppe zone, which can lead to overgrazing. Meanwhile, other zones are underutilized due to premature livestock relocation. This study aims to use remote sensing to assess the vegetation condition of grasslands located in altitudinal landscape zones during the growing season and, based on this, help users optimize grazing, organize rational grassland management, and avoid overgrazing.https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/171/2025/isprs-archives-XLVIII-G-2025-171-2025.pdf |
| spellingShingle | G. Ayvazyan A. Medvedev A. Hovsepyan A. Khlghatyan S. Asmaryan Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia |
| title_full | Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia |
| title_fullStr | Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia |
| title_full_unstemmed | Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia |
| title_short | Space remote sensing for monitoring seasonal dynamics of grasslands in high-altitude zones in Armenia |
| title_sort | space remote sensing for monitoring seasonal dynamics of grasslands in high altitude zones in armenia |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/171/2025/isprs-archives-XLVIII-G-2025-171-2025.pdf |
| work_keys_str_mv | AT gayvazyan spaceremotesensingformonitoringseasonaldynamicsofgrasslandsinhighaltitudezonesinarmenia AT amedvedev spaceremotesensingformonitoringseasonaldynamicsofgrasslandsinhighaltitudezonesinarmenia AT ahovsepyan spaceremotesensingformonitoringseasonaldynamicsofgrasslandsinhighaltitudezonesinarmenia AT akhlghatyan spaceremotesensingformonitoringseasonaldynamicsofgrasslandsinhighaltitudezonesinarmenia AT sasmaryan spaceremotesensingformonitoringseasonaldynamicsofgrasslandsinhighaltitudezonesinarmenia |