Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables

doi:10.3390/rs16193687

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	Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables
	Yang, Jianbo; Liu, Detuan; Li, Qian; Wanasinghe, Dhanushka N.; Zhai, Deli; Zhao, Gaojuan; Xu, Jianchu
	2024
发表期刊	REMOTE SENSING
卷号	16 期号:19 页码:3687
摘要	Human activities have both positive and negative impacts on forests, altering the extent and composition of various forest vegetation types, and increasing uncertainty in ecological management. A detailed understanding of the historical distribution of forest vegetation is crucial for local conservation efforts. In this study, we integrated phenological features with climatic and terrain variables to enhance the mapping accuracy of forest vegetation in Yunnan. We mapped the historical distributions of five forest vegetation type groups and nine specific forest vegetation types for 2001, 2010, and 2020. Our findings revealed that: (1) rubber plantations can be effectively distinguished from other forest vegetation using phenological features, coniferous forests and broad-leaved forests can be differentiated using visible spectral bands, and environmental variables (temperature, precipitation, and elevation) are effective in differentiating forest vegetation types under varying climate conditions; (2) the overall accuracy and kappa coefficient increased by 14.845% and 20.432%, respectively, when climatic variables were combined with phenological features, and by 13.613% and 18.902%, respectively, when elevation was combined with phenological features, compared to using phenological features alone; (3) forest cover in Yunnan increased by 2.069 x 104 km2 (10.369%) between 2001 and 2020. This study highlights the critical role of environmental variables in improving the mapping accuracy of forest vegetation in mountainous regions.
DOI	10.3390/rs16193687
WOS记录号	WOS:001332784300001
引用统计
文献类型	期刊论文
条目标识符	http://ir.kib.ac.cn/handle/151853/75765
专题	中国科学院昆明植物研究所
推荐引用方式 GB/T 7714	Yang, Jianbo,Liu, Detuan,Li, Qian,et al. Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables[J]. REMOTE SENSING,2024,16(19):3687.
APA	Yang, Jianbo.,Liu, Detuan.,Li, Qian.,Wanasinghe, Dhanushka N..,Zhai, Deli.,...&Xu, Jianchu.(2024).Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables.REMOTE SENSING,16(19),3687.
MLA	Yang, Jianbo,et al."Enhancing Accuracy in Historical Forest Vegetation Mapping in Yunnan with Phenological Features, and Climatic and Elevation Variables".REMOTE SENSING 16.19(2024):3687.

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