干旱区生态环境知识资源中心(Arid): Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data

Arid

DOI	10.1016/j.scitotenv.2024.170602
	Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data
	Zhou, Jiahui; Zhang, Renping; Guo, Jing; Dai, Junfeng; Zhang, Jianli; Zhang, Liangliang; Miao, Yuhao
通讯作者	Zhang, RP
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2024
卷号	918
英文摘要	Aboveground Biomass (AGB) in the grassland senescence period is a key indicator for assessing grassland fire risk and autumnal pasture carrying capacity. Despite the advancement of remote sensing in rapid monitoring of AGB on a regional scale, accurately monitoring AGB during the senescence period in vast arid areas remains a major challenge. Using remote sensing, environmental data, and 356 samples of grassland senescence period AGB data, this study utilizes the Gram -Schmidt Pan Sharpening (GS) method, multivariate selection methods, and machine learning algorithms (RF, SVM, and BP_ANN) to construct a model for AGB during senescence grassland, and applies the optimal model to analyze spatio-temporal pattern changes in AGB from 2000 to 2021 in arid regions. The results indicate that the GS method effectively enhances the correlation between measured AGB and vegetation indices, reducing model error to some extent; The accuracy of grassland AGB inversion models based on a single vegetation index is low (0.03 <= \|R\| <= 0.63), while the RF model constructed with multiple variables selected by the Boruta algorithm is the optimal model for estimating AGB in arid regions during the senescence period (R2 = 0.71, RMSE = 519.74 kg/ha); In the span of 22 years, the annual average AGB in the senescence period of arid regions was 1413.85 kg/ha, with regions of higher AGB primarily located in the northeast and southwest of the study area. The area experiencing an increase in AGB during the senescence period (79.97 %) was significantly larger than that with decreased AGB (20.03 %).
英文关键词	Senescence period Grassland above -ground biomass Model assessment China's arid region Variable selection Multi-factor
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001182928200001
WOS关键词	ARTIFICIAL NEURAL-NETWORK ; VEGETATION INDEXES ; DATA FUSION ; REMOTE ; REFLECTANCE ; COVER ; QUANTIFICATION ; DERIVATION ; PLATEAU ; SHRUB
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405464
推荐引用方式 GB/T 7714	Zhou, Jiahui,Zhang, Renping,Guo, Jing,et al. Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data[J],2024,918.
APA	Zhou, Jiahui.,Zhang, Renping.,Guo, Jing.,Dai, Junfeng.,Zhang, Jianli.,...&Miao, Yuhao.(2024).Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data.SCIENCE OF THE TOTAL ENVIRONMENT,918.
MLA	Zhou, Jiahui,et al."Estimation of aboveground biomass of senescence grassland in China's arid region using multi-source data".SCIENCE OF THE TOTAL ENVIRONMENT 918(2024).