Integrating multi-source remote sensing data and machine learning for predicting tree density and cover in Argania spinosa
This examination explores the application of remote sensing technologies, including Sеntinеl-2, Mohammed VI satellite imagery and Unmanned Aerial Vehicles (UAVs), to predict the cover and density of Argane forest stands in Morocco. The primary objective was to determine the most dependable dataset f...
I tiakina i:
| Ngā kaituhi matua: | , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2025-08-01
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| Rangatū: | Smart Agricultural Technology |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S2772375525001443 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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