Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review
This study explores the rapid growth in remote-sensing technologies for vegetation mapping, driven by the integration of advanced machine learning techniques. An analysis of publication trends from Scopus indicates significant expansion from 2019 to 2023, reflecting technological advancements and im...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Taylor & Francis Group
2024-12-01
|
| Rangatū: | European Journal of Remote Sensing |
| Ngā marau: | |
| Urunga tuihono: | https://www.tandfonline.com/doi/10.1080/22797254.2024.2422330 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|