干旱区生态环境知识资源中心(Arid): Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions

Arid

DOI	10.3390/rs15040872
	Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions
	Duan, Pan; Zhang, Fei; Jim, Chi-Yung; Tan, Mou Leong; Cai, Yunfei; Shi, Jingchao; Liu, Changjiang; Wang, Weiwei; Wang, Zheng
通讯作者	Zhang, F
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:4
英文摘要	Missing data is a common issue in remote sensing. Data reconstruction through multiple satellite data sources has become one of the most powerful ways to solve this issue. Continuous monitoring of suspended particulate matter (SPM) in arid lakes is vital for water quality solutions. Therefore, this research aimed to develop and evaluate the performance of two image reconstruction strategies, spatio-temporal fusion reflectance image inversion SPM and SPM spatio-temporal fusion, based on the measured SPM concentration data with Sentinel-2 and Sentinel-3. The results show that (1) ESTARFM (Enhanced Spatio-temporal Adaptive Reflection Fusion Model) performed better than FSDAF (Flexible Spatio-temporal Data Fusion) in the fusion image generation, particularly the red band, followed by the blue, green, and NIR (near-infrared) bands. (2) A single-band linear and non-linear regression model was constructed based on Sentinel-2 and Sentinel-3. Analysis of the accuracy and stability of the model led us to the conclusion that the red band model performs well, is fast to model, and has a wide range of applications (Sentinel-2, Sentinel-3, and fused high-accuracy images). (3) By comparing the two data reconstruction strategies of spatio-temporal fused image inversion SPM and spatio-temporal fused SPM concentration map, we found that the fused SPM concentration map is more effective and more stable when applied to multiple fused images. The findings can provide an important scientific reference value for further expanding the inversion research of other water quality parameters in the future and provide a theoretical basis as well as technical support for the scientific management of Ebinur Lake's ecology and environment.
英文关键词	Ebinur Lake spatio-temporal fusion model Sentinel-2 images reconstruction suspended particulate matter (SPM)
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000941905000001
WOS关键词	SPATIOTEMPORAL FUSION ; REFLECTANCE FUSION ; ORGANIC-MATTER ; CHLOROPHYLL-A ; LANDSAT ; HEIGHT ; MODEL ; MODIS ; SEA
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398242
推荐引用方式 GB/T 7714	Duan, Pan,Zhang, Fei,Jim, Chi-Yung,et al. Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions[J],2023,15(4).
APA	Duan, Pan.,Zhang, Fei.,Jim, Chi-Yung.,Tan, Mou Leong.,Cai, Yunfei.,...&Wang, Zheng.(2023).Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions.REMOTE SENSING,15(4).
MLA	Duan, Pan,et al."Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions".REMOTE SENSING 15.4(2023).