Arid
DOI10.3390/rs14092218
Analysis of Environmental and Atmospheric Influences in the Use of SAR and Optical Imagery from Sentinel-1, Landsat-8, and Sentinel-2 in the Operational Monitoring of Reservoir Water Level
Souza, Wendson de Oliveira; Reis, Luis Gustavo de Moura; Ruiz-Armenteros, Antonio Miguel; Veleda, Doris; Ribeiro Neto, Alfredo; Fragoso Jr., Carlos Ruberto; Cabral, Jaime Joaquim da Silva Pereira; Montenegro, Suzana Maria Gico Lima
通讯作者Ruiz-Armenteros, AM
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2022
卷号14期号:9
英文摘要In this work, we aim to evaluate the feasibility and operational limitations of using Sentinel-1 synthetic aperture radar (SAR) data to monitor water levels in the Poco da Cruz reservoir from September 2016-September 2020, in the semi-arid region of northeast Brazil. To segment water/non-water features, SAR backscattering thresholding was carried out via the graphical interpretation of backscatter coefficient histograms. In addition, surrounding environmental effects on SAR polarization thresholds were investigated by applying wavelet analysis, and the Landsat-8 and Sentinel-2 normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) were used to compare and discuss the SAR results. The assessment of the observed and estimated water levels showed that (i) SAR accuracy was equivalent to that of NDWI/Landsat-8; (ii) optical image accuracy outperformed SAR image accuracy in inlet branches, where the complexity of water features is higher; and (iii) VV polarization outperformed VH polarization. The results confirm that SAR images can be suitable for operational reservoir monitoring, offering a similar accuracy to that of multispectral indices. SAR threshold variations were strongly correlated to the normalized difference vegetation index (NDVI), the soil moisture variations in the reservoir depletion zone, and the prior precipitation quantities, which can be used as a proxy to predict cross-polarization (VH) and co-polarization (VV) thresholds. Our findings may improve the accuracy of the algorithms designed to automate the extraction of water levels using SAR data, either in isolation or combined with multispectral images.
英文关键词hydrological analysis multi-sensors time series Sentinel-1 Sentinel-2 Landsat-8 reservoir monitoring
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:000794516500001
WOS关键词SOIL-MOISTURE ; FLOOD INUNDATION ; TIME-SERIES ; INDEX NDWI ; BARE SOIL ; DELINEATION ; CLASSIFICATION ; EXTRACTION ; BODIES ; BACKSCATTERING
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/2XILL650/394140
推荐引用方式
GB/T 7714
Souza, Wendson de Oliveira,Reis, Luis Gustavo de Moura,Ruiz-Armenteros, Antonio Miguel,et al. Analysis of Environmental and Atmospheric Influences in the Use of SAR and Optical Imagery from Sentinel-1, Landsat-8, and Sentinel-2 in the Operational Monitoring of Reservoir Water Level[J],2022,14(9).
APA Souza, Wendson de Oliveira.,Reis, Luis Gustavo de Moura.,Ruiz-Armenteros, Antonio Miguel.,Veleda, Doris.,Ribeiro Neto, Alfredo.,...&Montenegro, Suzana Maria Gico Lima.(2022).Analysis of Environmental and Atmospheric Influences in the Use of SAR and Optical Imagery from Sentinel-1, Landsat-8, and Sentinel-2 in the Operational Monitoring of Reservoir Water Level.REMOTE SENSING,14(9).
MLA Souza, Wendson de Oliveira,et al."Analysis of Environmental and Atmospheric Influences in the Use of SAR and Optical Imagery from Sentinel-1, Landsat-8, and Sentinel-2 in the Operational Monitoring of Reservoir Water Level".REMOTE SENSING 14.9(2022).
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