干旱区生态环境知识资源中心(Arid): Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: A specific case of scale issues in remote sensing

Arid

DOI	10.1016/j.envres.2020.110636
	Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: A specific case of scale issues in remote sensing
	Chen, Wenqian; Wang, Jingzhe; Cao, Xiaoyi; Ran, Haofan; Teng, Dexiong; Chen, Jing; He, Xiao; Zheng, Xuan
通讯作者	Zheng, X (corresponding author), Shenzhen Univ, Coll Chem & Environm Engn, Shenzhen 518060, Peoples R China.
来源期刊	ENVIRONMENTAL RESEARCH
ISSN	0013-9351
EISSN	1096-0953
出版年	2021
卷号	194
英文摘要	The degradation of watersheds creates immense pressure on water quality, especially in arid and semiarid regions. Total suspended solids (TSS) provide essential information to water environmental quality assessments. However, the calibration of direct retrieval models requires complicated preparations and further increases uncertainties. Here, we hypothesized that a common remote sensing index (NDVI, normalized difference vegetation index) could be used to estimate TSS concentrations in water due to the effects of canopy cover. To address this hypothesis, we collected 65 water samples from the Ebinur Lake Watershed, northwest China, to investigate the potential relationships between TSS concentrations and Sentinel-2-based NDVI at various scales (100, 200, 300, 400, and 500 m). Subsequently, we established a classical measurement error (CME) model for the estimation of TSS concentrations. The results showed that TSS concentration is negatively related to the NDVI value at all buffer distances. The 300 m scale mean NDVI value showed the most effective explanation of the variations in TSS concentrations (R-2 = 0.83, P-value < 0.001), which indicated that the TSS concentration can be assessed by NDVI. The CME model showed that NDVI values played an important role in the assessment of TSS concentrations in surface water. Furthermore, the results of both leave-one-out cross-validation and the accuracy measure suggested that this specific method is satisfactory. Compared with previous statistical and field monitoring results, the proposed method is promising for cost-effective monitoring of TSS concentrations in water, especially in data-poor watersheds. This specific method may provide the basis for the conservation and management of nonpoint source pollution in arid regions.
英文关键词	Arid region Total suspended solids Remote sensing Sentinel-2 Normalized difference vegetation index
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000626847500001
WOS关键词	SOIL-EROSION ; EBINUR LAKE ; SEDIMENT CONCENTRATION ; LANDSAT 8 ; LANDSCAPE-WATER ; COASTAL WATERS ; SATELLITE DATA ; USE INTENSITY ; BUFFER ZONE ; QUALITY
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350145
作者单位	[Chen, Wenqian; He, Xiao; Zheng, Xuan] Shenzhen Univ, Coll Chem & Environm Engn, Shenzhen 518060, Peoples R China; [Chen, Wenqian] Shenzhen Univ, Coll Phys & Optoelect Engn, Shenzhen 518060, Peoples R China; [Chen, Wenqian; Chen, Jing] Hanshan Normal Univ, Geog Dept, Chaozhou 521041, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Minist Nat Resources, Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen 518060, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518060, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China; [Cao, Xiaoyi] Digital City Lab Co Ltd, Jiaxing 314001, Peoples R China; [Ran, Haofan; Teng, Dexiong] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Smart City & Environm Modelling, Higher Educ Inst, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Chen, Wenqian,Wang, Jingzhe,Cao, Xiaoyi,et al. Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: A specific case of scale issues in remote sensing[J]. 新疆大学,2021,194.
APA	Chen, Wenqian.,Wang, Jingzhe.,Cao, Xiaoyi.,Ran, Haofan.,Teng, Dexiong.,...&Zheng, Xuan.(2021).Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: A specific case of scale issues in remote sensing.ENVIRONMENTAL RESEARCH,194.
MLA	Chen, Wenqian,et al."Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: A specific case of scale issues in remote sensing".ENVIRONMENTAL RESEARCH 194(2021).