An automatic monitoring method for disturbance caused by deforestation and forest fires
Timely and accurate detection and assessment of forest disturbances are crucial for early warning and risk prevention of forest disasters. This study presents an automated forest disturbance monitoring algorithm with three main steps: (1) extracting features that capture the remote sensing response...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Taylor & Francis Group
2026-01-01
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| Rangatū: | International Journal of Digital Earth |
| Ngā marau: | |
| Urunga tuihono: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2605787 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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