Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China

[Display omitted] •Mangrove species of multiple natural reserves was implemented fine classifications.•Two adaptive stacking algorithms achieve classification accuracies of 90.4%-96.2%.•ACE and AMO stackings outperform traditional stacking in classifying mangrove species.•MPViT has excellent mangrov...

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Bibliographic Details
Published in:	Ecological indicators Vol. 154; p. 110870
Main Authors:	Fu, Bolin, He, Xu, Liang, Yiyin, Deng, Tengfang, Li, Huajian, He, Hongchang, Jia, Mingming, Fan, Donglin, Wang, Feng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2023 Elsevier
Subjects:	Adaptive stacking ensemble learning algorithms Aegiceras corniculatum algorithms blue carbon carbon sinks China coasts confidence interval Cyperus Mangrove species classification Multi-Path Vision Transformer algorithm prediction SHapley Additive explanations species sustainable development UAV multispectral images unmanned aerial vehicles vegetation index vision China SHapley Additive explanations Adaptive stacking ensemble learning algorithms UAV multispectral images Mangrove species classification Multi-Path Vision Transformer algorithm
ISSN:	1470-160X
Online Access:	Get full text
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