Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm

This study addresses the growing challenges of climate extremes and their impact on flood-drought shifts in Xinjiang, China, a region highly sensitive to climate variations. While existing classification models such as logistic regression (LR), support vector machines (SVMs), and geographically weig...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Sulei Naibi, Anming Bao, Ye Yuan, Jiayu Bao, Rafiq Hamdi, Tao Yu, Xiaoran Huang, Ting Wang, Tao Li, Jingyu Jin, Gang Long, Piet Termonia
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-05-01
coleção:	Ecological Informatics
Assuntos:	Climate extremes Classification Spatial nonstationarity Flood-drought index
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1574954125000391
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!