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

Carlos Ruberto Fragoso Jr.¹  Luis Gustavo de Moura Reis²  Alfredo Ribeiro Neto²  Jaime Joaquim da Silva Pereira Cabral²  Suzana Maria Gico Lima Montenegro²  Antonio Miguel Ruiz-Armenteros³  Wendson de Oliveira Souza⁴  Doris Veleda⁵ 

[1] Center for Technology (CTEC), Federal University of Alagoas (UFAL), Maceió 57072-970, Brazil;Center for Technology and Geosciences, Federal University of Pernambuco (UFPE), Recife 50670-901, Brazil;Department of Cartographic, Geodetic and Photogrammetry Engineering, University of Jaén, Campus Las Lagunillas s/n, 23071 Jaén, Spain;Department of Transports, Center for Technology, Federal University of Piauí (UFPI), Teresina 64049-550, Brazil;Renewable Energy Center (CER), Laboratory of Physical, Coastal, and Estuarine Oceanography (LOFEC), Federal University of Pernambuco (UFPE), Recife 50740-550, Brazil;

关键词: hydrological analysis;    multi-sensors;    time series;    Sentinel-1;    Sentinel-2;    Landsat-8;   

DOI  :  10.3390/rs14092218

来源: DOAJ

【 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 Poço 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.

【 授权许可】

Unknown