Exploring the drivers of reef island shoreline change using machine learning models.

Saved in:
Bibliographic Details
Title: Exploring the drivers of reef island shoreline change using machine learning models.
Authors: Sengupta M; Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany. meghna.sengupta@leibniz-zmt.de.; School of Environment, The University of Auckland, Auckland, New Zealand. meghna.sengupta@leibniz-zmt.de., Ford MR; School of Environment, The University of Auckland, Auckland, New Zealand., Kench PS; Department of Geography, National University of Singapore, Singapore, Singapore., Perry GLW; School of Environment, The University of Auckland, Auckland, New Zealand.
Source: Scientific reports [Sci Rep] 2025 May 14; Vol. 15 (1), pp. 16735. Date of Electronic Publication: 2025 May 14.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-00136-w