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

Thumbnail
View/Open
Type of Access
Open
Material Type
Article
Type of Content
Scientific research
Subject
Recursos naturales - República Dominicana
Recursos forestales
Problemas ambientales
Language
English
Audience
Technicians, professionals and scientists
Collection
Metadata
Show full item record
Abstract: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.
Author(s):Hong, Falu
Blair Hedges, S.
Yang, Zhiqiang
Won Suh, Ji
Qiu, Shi
Timyan, Joel
Zhu, Zhe
Date:2025
Published:Remote Sensing of Environment, 318, 114590
Citation: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:
URI:https://bvearmb.do/handle/123456789/6061

Texto completo del artículo

This is an open access article under the CC BY license.
Access and downloading this document are subject to this license: This is an open access article under the CC BY license.
© 2025 The Authors. Published by Elsevier Inc.