Decoding primary forest changes in Haiti and the Dominican Republic using Landsat time series
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AbiertoTipo de Material
ArtículoTipo de Contenido
Investigación científicaIdioma
InglésAudiencia
Técnicos, profesionales y científicosColección
- Investigación ambiental [1558]
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Mostrar el registro completo del ítem| Sinopsis: | Highlights: Rapid primary forest loss in Hispaniola was observed using Landsat time series. Disturbance and resilience were considered in classifying primary forest. We compared the primary forest changes between Haiti and the Dominican Republic. Fire and tree-cutting were the major drivers of primary forest loss in Hispaniola. |
| Autor(es): | Hong, Falu
Blair Hedges, S. Yang, Zhiqiang Won Suh, Ji Qiu, Shi Timyan, Joel Zhu, Zhe |
| Año: | 2025 |
| Publicado: | Remote Sensing of Environment, 318, 114590 |
| Citación: | Hong, F., Hedges, S. B., Yang, Z., Suh, J. W., Qiu, S., Timyan, J., & Zhu, Z. (2025). Decoding primary forest changes in Haiti and the Dominican Republic using Landsat time series. Remote Sensing of Environment, 318, 114590. Recuperado de: |
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© 2025 The Authors. Published by Elsevier Inc.
© 2025 The Authors. Published by Elsevier Inc.