A remote sensing index for the detection of multi-type water quality anomalies in complex geographical environments

References

• Alharbi, B. 2023. “Remote Sensing Techniques for Monitoring Algal Blooms in the Area Between Jeddah and Rabigh on the Red Sea Coast.” Remote Sensing Applications: Society and Environment 30: 100935. https://doi.org/10.1016/j.rsase.2023.100935.
   Google Scholar
• Caballero, I., A. Román, T. S. Antonio, and G. Navarro. 2022. “Water Quality Monitoring with Sentinel-2 and Landsat-8 Satellites During the 2021 Volcanic Eruption in La Palma (Canary Islands).” Science of The Total Environment 822: 153433. https://doi.org/10.1016/j.scitotenv.2022.153433.
   PubMed Web of Science ®Google Scholar
• Chen, J., J. Chen, A. P. Liao, X. Cao, L. J. Chen, X. H. Chen, C. Y. He, et al. 2015. “Global Land Cover Mapping at 30m Resolution: A POK-Based Operational Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 103: 7–27. https://doi.org/10.1016/j.isprsjprs.2014.09.002.
   Web of Science ®Google Scholar
• DeVries, B., C. Q. Huang, J. Armston, W. L. Huang, J. W. Jones, and M. W. Lang. 2020. “Rapid and Robust Monitoring of Flood Events Using Sentinel-1 and Landsat Data on the Google Earth Engine.” Remote Sensing of Environment 240: 111664. https://doi.org/10.1016/j.rse.2020.111664.
   Web of Science ®Google Scholar
• Doña, C., N. B. Chang, V. Caselles, J. M. Sánchez, A. Camacho, J. Delegido, and B. W. Vannah. 2015. “Integrated Satellite Data Fusion and Mining for Monitoring Lake Water Quality Status of the Albufera de Valencia in Spain.” Journal of Environmental Management 151: 416–426. https://doi.org/10.1016/j.jenvman.2014.12.003.
   PubMed Web of Science ®Google Scholar
• Gao, B. C. 1996. “NDWI – A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space.” Remote Sensing of Environment 58 (3): 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3.
   Web of Science ®Google Scholar
• Gong, P., H. Liu, M. N. Zhang, C. C. Li, J. Wang, H. B. Huang, N. Clinton, et al. 2019. “Stable Classification with Limited Sample: Transferring a 30-m Resolution Sample set Collected in 2015 to Mapping 10-m Resolution Global Land Cover in 2017.” Science Bulletin 64 (6): 370–373. https://doi.org/10.1016/j.scib.2019.03.002.
   PubMed Web of Science ®Google Scholar
• Gu, M., J. Fei, and S. Sun. 2020. “Online Anomaly Detection with Sparse Gaussian Processes.” Neurocomputing 403 (1): 383–399. https://doi.org/10.1016/j.neucom.2020.04.077.
   Google Scholar
• Guo, H. 2020. “Big Earth Data Facilitates Sustainable Development Goals.” Big Earth Data 4 (1): 1–2. https://doi.org/10.1080/20964471.2020.1730568.
   Web of Science ®Google Scholar
• Hagos, G. G., M. M. Assefa, B. Kevin, and G. G. Azage. 2020. “Linear Spectral Unmixing Algorithm for Modelling Suspended Sediment Concentration of Flash Floods, Upper Tekeze River, Ethiopia.” International Journal of Sediment Research 35 (1): 79–90. https://doi.org/10.1016/j.ijsrc.2019.07.007.
   Web of Science ®Google Scholar
• Han, H. B., Y. Li, Z. L. Wang, W. Song, and X. J. Ma. 2022. “Tempo-spatial Distribution and Species Composition of Green Algae Micro-Propagules in the Coastal Waters of Qinhuangdao After Green Tides Bloom in 2020.” Estuarine, Coastal and Shelf Science 276: 108054. https://doi.org/10.1016/j.ecss.2022.108054.
   Web of Science ®Google Scholar
• Handler, A. M., J. E. Compton, R. A. Hill, S. G. Leibowitz, and B. A. Schaeffer. 2023. “Identifying Lakes at Risk of Toxic Cyanobacterial Blooms Using Satellite Imagery and Field Surveys Across the United States.” Science of The Total Environment 869: 161784. https://doi.org/10.1016/j.scitotenv.2023.161784.
   PubMed Web of Science ®Google Scholar
• Hu, C., Z. Lee, R. Ma, K. Yu, D. Li, and S. Shang. 2010. “Research Progress on Remote Sensing Monitoring of Phytoplankton in Eutrophic Water.” Journal of Lake Sciences 33 (5): 1299–1314. https://doi.org/10.18307/2021.0502.
   Google Scholar
• Huang, D., X. Li, X. B. Zheng, W. Wei, Q. Zhang, and F. X. Guo. 2023. “Evaluation and Application of On-Orbit Calibration of the Automated Vicarious Calibration System.” IEEE Transactions on Geoscience and Remote Sensing 61: 1–15. https://doi.org/10.1109/TGRS.2023.3309658.
   Web of Science ®Google Scholar
• Jia, T. X., X. Q. Zhang, and R. C. Dong. 2019. “Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake.” Remote Sensing 11 (19): 2269. https://doi.org/10.3390/rs11192269.
   Web of Science ®Google Scholar
• Jiang, G. M., Y. Zou, and H. Chen. 2022. “Assessment and Correction of the On-Orbit Radiometric Calibration in FY-3D MERSI-2 Thermal Infrared Channels.” IEEE Transactions on Geoscience and Remote Sensing 60: 1–10. https://doi.org/10.1109/TGRS.2022.3215806.
   Web of Science ®Google Scholar
• Karra, K., C. Kontgis, Z. Statman-Weil, J. C. Mazzariello, M. Mathis, and S. P. Brumby. 2021. “Global Land Use/Land Cover with Sentinel-2 and Deep Learning.” Paper presented at 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium.
   Google Scholar
• Kislik, C., I. Dronova, T. E. Grantham, and M. Kelly. 2022. “Mapping Algal Bloom Dynamics in Small Reservoirs Using Sentinel-2 Imagery in Google Earth Engine.” Ecological Indicators 140: 109041. https://doi.org/10.1016/j.ecolind.2022.109041.
   Web of Science ®Google Scholar
• Li, Z. Q., W. Z. Hou, Z. W. Qiu, B. Y. Ge, Y. Q. Xie, J. Hong, Y. Ma, et al. 2022. “Preliminary On-Orbit Performance Test of the First Polarimetric Synchronization Monitoring Atmospheric Corrector (SMAC) On-Board High-Spatial Resolution Satellite Gao Fen Duo Mo (GFDM).” IEEE Transactions on Geoscience and Remote Sensing 60: 1–14. https://doi.org/10.1109/TGRS.2021.3110320.
   Web of Science ®Google Scholar
• Li, Y., S. Martinis, and M. Wieland. 2019. “Urban Flood Mapping with an Active Self-Learning Convolutional Neural Network Based on TerraSAR-X Intensity and Interferometric Coherence.” ISPRS Journal of Photogrammetry and Remote Sensing 152: 178–191. https://doi.org/10.1016/j.isprsjprs.2019.04.014.
   Web of Science ®Google Scholar
• Li, J. S., S. L. Wang, Y. H. Wu, B. Zhang, X. L. Chen, F. F. Zhang, Q. Shen, et al. 2016. “MODIS Observations of Water Color of the Largest 10 Lakes in China Between 2000 and 2012.” International Journal of Digital Earth 9 (8): 788–805. https://doi.org/10.1080/17538947.2016.1139637.
   Web of Science ®Google Scholar
• Li, J., Q. Yu, Y. Q. Tian, B. L. Becker, P. Siqueira, and N. Torbick. 2018. “Spatio-temporal Variations of CDOM in Shallow Inland Waters from a Semi-Analytical Inversion of Landsat-8.” Remote Sensing of Environment 218: 189–200. https://doi.org/10.1016/j.rse.2018.09.014.
   Web of Science ®Google Scholar
• Lin, Y. Y., E. Hu, C. S. Sun, M. Li, L. Gao, and L. H. Fan. 2018. “Using Fluorescence Index (FI) of Dissolved Organic Matter (DOM) to Identify non-Point Source Pollution: The Difference in FI Between Soil Extracts and Wastewater Reveals the Principle.” Science of The Total Environment 862: 160848. https://doi.org/10.1016/j.scitotenv.2022.160848.
   Google Scholar
• Liu, Y. 2008. “Remote Sensing Method of Water Pollution and Application on Water Pollution Monitoring in ShaoXing Area.” (Master diss.). Zhejiang University.
   Google Scholar
• Liu, Y., Y. Dai, G. Liu, J. Yang, L. Tian, and H. Li. 2020. “Distributed Space Remote Sensing and Multi-Satellite Cooperative On-Board Processing.” Paper Presented at 2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), Xi’an, People’s Republic of China.
   Google Scholar
• Lu, Y., X. Li, Q. Tian, G. Zheng, S. Sun, Y. Liu, and Q. Yang. 2013. “Progress in Marine oil Spill Optical Remote Sensing: Detected Targets, Spectral Response Characteristics, and Theories.” Marine Geodesy 36 (3): 334–346. https://doi.org/10.1080/01490419.2013.793633.
   Web of Science ®Google Scholar
• Min, J. E., J. H. Ryu, S. Lee, and S. H. Son. 2012. “Monitoring of Suspended Sediment Variation Using Landsat and MODIS in the Saemangeum Coastal Area of Korea.” Marine Pollution Bulletin 64 (2): 382–390. https://doi.org/10.1016/j.marpolbul.2011.10.025.
   PubMed Web of Science ®Google Scholar
• Morais, T. G., R. F. M. Teixeira, M. Figueiredo, and T. Domingos. 2021. “The use of Machine Learning Methods to Estimate Aboveground Biomass of Grasslands: A Review.” Ecological Indicators 130: 108081. https://doi.org/10.1016/j.ecolind.2021.108081.
   Web of Science ®Google Scholar
• NNU_Group. 2011. Environmental Abnormality, Concept & Semantic, OpenGMS, https://geomodeling.njnu.edu.cn/repository/concept/47a991ba-c99b-4c22-bcc5-10c0163e49ca.
   Google Scholar
• Pahlevan, N., S. K. Chittimalli, S. V. Balasubramanian, and V. Vellucci. 2019. “Sentinel-2/Landsat-8 Product Consistency and Implications for Monitoring Aquatic Systems.” Remote Sensing of Environment 220: 19–29. https://doi.org/10.1016/j.rse.2018.10.027.
   Web of Science ®Google Scholar
• Shao, Z. F., Y. Pan, C. Y. Diao, and J. J. Cai. 2019. “Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network.” IEEE Transactions on Geoscience and Remote Sensing 57 (6): 4062–4076. https://doi.org/10.1109/TGRS.2018.2889677.
   Web of Science ®Google Scholar
• Shastry, A., E. Carter, B. Coltin, R. Sleeter, S. McMichael, and J. Eggleston. 2023. “Mapping Floods from Remote Sensing Data and Quantifying the Effects of Surface Obstruction by Clouds and Vegetation.” Remote Sensing of Environment 291: 113556. https://doi.org/10.1016/j.rse.2023.113556.
   Web of Science ®Google Scholar
• Shi, W., and M. H. Wang. 2009. “Green Macroalgae Blooms in the Yellow Sea During the Spring and Summer of 2008.” Journal of Geophysical Research: Oceans 114 (C12): 207–211. https://doi.org/10.1029/2009JC005513.
   Google Scholar
• Soto, I. M., J. Cannizzaro, F. E. Muller-Karger, C. Hu, J. Wolny, and D. Goldgof. 2015. “Evaluation and Optimization of Remote Sensing Techniques for Detection of Karenia Brevis Blooms on the West Florida Shelf.” Remote Sensing of Environment 170: 239–254. https://doi.org/10.1016/j.rse.2015.09.026.
   Web of Science ®Google Scholar
• Tong, X. H., X. Luo, S. G. Liu, H. Xie, W. Chao, S. Liu, S. J. Liu, et al. 2018. “An Approach for Flood Monitoring by the Combined use of Landsat 8 Optical Imagery and COSMO-SkyMed Radar Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 136: 144–153. https://doi.org/10.1016/j.isprsjprs.2017.11.006.
   Web of Science ®Google Scholar
• Tulbure, M. G., M. Broich, V. Perin, M. Gaines, J. C. Ju, S. V. Stehman, T. Pavelsky, et al. 2022. “Can we Detect More Ephemeral Floods with Higher Density Harmonized Landsat Sentinel 2 Data Compared to Landsat 8 Alone?” ISPRS Journal of Photogrammetry and Remote Sensing 185: 232–246. https://doi.org/10.1016/j.isprsjprs.2022.01.021.
   Web of Science ®Google Scholar
• Wang, Y. F., Z. N. Gong, Y. Zhang, and S. Su. 2021. “Extraction and Application of Forel -Ule Index Based on Images from Muliple Sensors.” Remote Sensing for Natural Resources 33 (3): 262–271. https://doi.org/10.6046/zrzyyg. 2020324.
   Google Scholar
• Wang, M., B. B. Guo, X. X. Long, L. Xue, Y. F. Cheng, S. Y. Jin, and X. Zhou. 2020. “On-orbit Geometric Calibration and Accuracy Verification of GF-6 WFV Camera.” Acta Geodaetica et Cartographica Sinica 49 (2): 171–180. https://doi.org/10.11947/j.AGCS.2020.20190265.
   Google Scholar
• Wang, S. X., Y. L. Liu, Y. Zhou, and C. J. Wei. 2002. “Study on the Method of Establishment of Normal Water Extent Database for Flood Monitoring Using Remote Sensing.” Paper presented at IEEE International Geoscience and Remote Sensing Symposium, Toronto, ON, Canada.
   Google Scholar
• Wei, H. S., K. Jia, Q. Wang, B. Cao, J. B. Qi, W. Z. Zhao, and J. W. Yang. 2023. “Real-time Remote Sensing Detection Framework of the Earth’s Surface Anomalies Based on a Priori Knowledge Base.” International Journal of Applied Earth Observation and Geoinformation 122: 103429. https://doi.org/10.1016/j.jag.2023.103429.
   Web of Science ®Google Scholar
• Xu, H. Q. 2006. “Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery.” International Journal of Remote Sensing 27: 3025–3033. https://doi.org/10.1080/01431160600589179.
   Web of Science ®Google Scholar
• Xu, J. H., M. J. Deng, and G. D. Liu. 2007. “Application of Remote Sensing Techniques to Water Pollution Monitoring.” Research of Soil and Water Conservation 14 (5): 324–326. 330.
   Google Scholar
• Yang, X. Q., R. Q. Tong, L. Ma, J. Li, S. Q. Wang, and L. Q. Tian. 2022. “Monitoring Water Color Anomaly of Lakes Based on an Integrated Method Using Landsat-8 OLI Images.” International Journal of Digital Earth 15 (1): 1567–1587. https://doi.org/10.1080/17538947.2022.2122609.
   Web of Science ®Google Scholar
• Yao, Y., Q. Shen, L. Zhu, H. J. Gao, H. Y. Cao, H. Han, J. G. Sun, et al. 2019. “Remote Sensing Identification of Urban Black-Odor Water Bodies in Shenyang City Based on GF-2 Image.” National Remote Sensing Bulletin 23 (2): 230–242. https://doi.org/10.11834/jrs.20197482.
   Google Scholar
• Ye, W. J., J. M. Lao, Y. J. Liu, C. C. Chang, Z. W. Zhang, H. Li, and H. H. Zhou. 2022. “Pine Pest Detection Using Remote Sensing Satellite Images Combined with a Multi-Scale Attention-UNet Model.” Ecological Informatics 72: 101906. https://doi.org/10.1016/j.ecoinf.2022.101906.
   Web of Science ®Google Scholar
• Yu, S. H., Y. B. Yu, X. J. He, M. Lu, P. Wang, X. D. An, and X. C. Fang. 2020. “On-Board Fast and Intelligent Perception of Ships with the “Jilin-1” Spectrum 01/02 Satellites.” IEEE Access 8: 48005–48014. https://doi.org/10.1109/ACCESS.2020.2979476.
   Web of Science ®Google Scholar
• Zhang, L., and B. Cheng. 2020. “Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection.” IEEE Geoscience and Remote Sensing Letters 17 (12): 2115–2119. https://doi.org/10.1109/LGRS.2019.2962582.
   Web of Science ®Google Scholar
• Zhang, L., B. Cheng, S. Tan, and Y. Wang. 2022. “Fractional Fourier Transform Based Joint Adaptive Subspace Detection for Hyperspectral Anomaly Detection.” IEEE Geoscience and Remote Sensing Letters 19: 1–5. https://doi.org/10.1109/LGRS.2022.3150929.
   Web of Science ®Google Scholar
• Zhang, C., and C. Zhang. 2017. “Monitoring of Water Pollution Based on Water Pollution Difference Index.” Beijing Surveying and Mapping 2: 102–105. https://doi.org/10.19580/j.cnki.1007-3000.2017.02.024.
   Google Scholar
• Zhao, B. F., H. G. Sui, and J. Y. Liu. 2023. “Siam-DWENet: Flood Inundation Detection for SAR Imagery Using a Cross-Task Transfer Siamese Network.” International Journal of Applied Earth Observation and Geoinformation 116: 103132. https://doi.org/10.1016/j.jag.2022.103132.
   Web of Science ®Google Scholar
• Zhao, J., M. Temimi, H. Ghedira, and C. M. Hu. 2014. “Exploring the Potential of Optical Remote Sensing for oil Spill Detection in Shallow Coastal Waters-a Case Study in the Arabian Gulf.” Optics Express 22 (11): 13755–13772. https://doi.org/10.1364/OE.22.013755.
   PubMed Web of Science ®Google Scholar