A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data.
ABSTRACT. - As a forest structural parameter, leaf area index (LAI) is crucial for efficient intensive plantation management. Leaf area is responsible for the energy absorption needed for photosynthetic production and transpiration, both affecting growth. Currently, LAI can be estimated either by re...
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| Ētahi atu kaituhi: | , , , , , |
| Hōputu: | article |
| Reo: | Ingarihi |
| I whakaputaina: |
2021
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| Ngā marau: | |
| Urunga tuihono: | https://ainfo.inia.uy/consulta/busca?b=pc&id=62842&biblioteca=vazio&busca=62842&qFacets=62842 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Ngā tūemi rite: A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data.
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- Spatial distribution and tree cover of hillside and ravine forests in Uruguay: the challenges of mapping patchy ecosystems
- Assessing Sirex noctilio Fabricius (Hymenoptera: Siricidae) damage in pine plantations using remote sensing and predictive machine learning models.
