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Decoding primary forest changes in Haiti and the Dominican Republic using Landsat time series

LicenciaThis is an open access article under the CC BY license.es
AutorHong, Falu
AutorBlair Hedges, S.
AutorYang, Zhiqiang
AutorWon Suh, Ji
AutorQiu, Shi
AutorTimyan, Joel
AutorZhu, Zhe
Fecha de admisión2025-04-11T00:30:48Z
Fecha disponible2025-04-11T00:30:48Z
Año2025
CitaciónHong, 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:es
URIhttps://bvearmb.do/handle/123456789/6061
SinopsisHighlights: 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.es
IdiomaEnglishes
PublicadoRemote Sensing of Environment, 318, 114590es
Derechos© 2025 The Authors. Published by Elsevier Inc.es
URI de derechoshttp://creativecommons.org/licenses/by/4.0/es
MateriaRecursos naturales - República Dominicanaes
MateriaRecursos forestaleses
MateriaProblemas ambientaleses
TítuloDecoding primary forest changes in Haiti and the Dominican Republic using Landsat time serieses
dc.identifier.doihttps://doi.org/10.1016/j.rse.2024.114590
Tipo de materialArticlees
Tipo de contenidoScientific researches
AccesoOpenes
AudienciaTechnicians, professionals and scientistses


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This is an open access article under the CC BY license.
La consulta y descarga de este documento están sujetas a esta licencia: This is an open access article under the CC BY license.
© 2025 The Authors. Published by Elsevier Inc.