Investigating the seasonal dynamics of surface water over the Qinghai–Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet

References

• Chen, L. C., Y. Zhu, G. Papandreou, F. Schroff, and H. Adam. 2018. “Lecture Notes in Computer Science.” Proceedings of the European Conference on Computer Vision (ECCV), 833-851.
   Google Scholar
• Cheng, G., and T. Wu. 2007. “Responses of Permafrost to Climate Change and Their Environmental Significance, Qinghai-Tibet Plateau.” Journal of Geophysical Research 112 (F2), doi:10.1029/2006JF000631.
   Web of Science ®Google Scholar
• Dong, Z., G. Wang, S. O. Y. Amankwah, X. Wei, Y. Hu, and A. Feng. 2021. “Monitoring the Summer Flooding in the Poyang Lake Area of China in 2020 Based on Sentinel-1 Data and Multiple Convolutional Neural Networks.” International Journal of Applied Earth Observation and Geoinformation 102: 102400. doi:10.1016/j.jag.2021.102400.
   Web of Science ®Google Scholar
• Duan, S. 2018. “Lake Evolution in the Qaidam Basin During 1976-2015 and Their Changes in Response to Climate and Anthropogenic Factors.” Journal of Lake Sciences 30: 256–265. doi:10.18307/2018.0125.
   Google Scholar
• Farr, T. G., and M. Kobrick. 2000. “Shuttle Radar Topography Mission Produces a Wealth of Data.” Eos, Transactions American Geophysical Union 81 (48): 583–585. doi:10.1029/EO081i048p00583.
   Google Scholar
• Giustarini, L., R. Hostache, P. Matgen, G. J. P. Schumann, P. D. Bates, and D. C. Mason. 2013. “A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X.” IEEE Transactions on Geoscience and Remote Sensing 51 (4): 2417–2430. doi:10.1109/TGRS.2012.2210901.
   Web of Science ®Google Scholar
• Han, B., and Y. Wu. 2018. “A Novel Active Contour Model Driven by J-Divergence Entropy for SAR River Image Segmentation.” Pattern Analysis and Applications 21 (3): 613–627. doi:10.1007/s10044-018-0702-7.
   Web of Science ®Google Scholar
• Howard, A. G., M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam. 2017. “Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications.” arXiv preprint, doi:10.48550/arXiv.1704.04861.
   Google Scholar
• Huang, W., B. DeVries, C. Huang, M. W. Lang, J. W. Jones, I. F. Creed, and M. L. Carroll. 2018. “Automated Extraction of Surface Water Extent from Sentinel-1 Data.” Remote Sensing 10 (5): 797. doi:10.3390/rs10050797.
   Web of Science ®Google Scholar
• Huo, W., Y. Huang, J. Pei, Q. Zhang, Q. Gu, and J. Yang. 2018. “Ship Detection from Ocean SAR Image Based on Local Contrast Variance Weighted Information Entropy.” Sensors 18 (4): 1196. doi:10.3390/s18041196.
   PubMed Web of Science ®Google Scholar
• Huybers, K., S. Rupper, and G. H. Roe. 2016. “Response of Closed Basin Lakes to Interannual Climate Variability.” Climate Dynamics 46 (11): 3709–3723. doi:10.1007/s00382-015-2798-4.
   Web of Science ®Google Scholar
• Immerzeel, W.W., Van Beek, L.P. and Bierkens, M.F. 2010. “Climate Change Will Affect the Asian Water Towers Change Will Affect the Asian Water Towers.” Science 328(5984): 1382-1385. doi:10.1126/science.1183188.
   PubMed Web of Science ®Google Scholar
• Insom, P., C. Cao, P. Boonsrimuang, D. Liu, A. Saokarn, P. Yomwan, and Y. Xu. 2015. “A Support Vector Mawchine-Based Particle Filter Method for Improved Flooding Classification.” IEEE Geoscience and Remote Sensing Letters 12 (9): 1943–1947. doi:10.1109/LGRS.2015.2439575.
   Web of Science ®Google Scholar
• Isikdogan, F., A. C. Bovik, and P. Passalacqua. 2017. “Surface Water Mapping by Deep Learning.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (11): 4909–4918. doi:10.1109/JSTARS.2017.2735443
   Web of Science ®Google Scholar
• Jiang, W., G. He, T. Long, Y. Ni, H. Liu, Y. Peng, K. Lv, and G. Wang. 2018. “Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images.” Remote Sensing 10 (5): 755. doi:10.3390/rs10050755.
   Web of Science ®Google Scholar
• Kim, M. U., H. Oh, S. J. Lee, Y. Choi, and S. Han. 2021. “A Large-Scale Dataset for Water Segmentation of SAR Satellite.” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE: 9796-9801.
   Google Scholar
• Laird, N., A. M. Bentley, S. A. Ganetis, A. Stieneke, and S. A. Tushaus. 2016. “Climatology of Lake-Effect Precipitation Events Over Lake Tahoe and Pyramid Lake.” Journal of Applied Meteorology and Climatology 55 (2): 297–312. doi:10.1175/JAMC-D-14-0230.1.
   Web of Science ®Google Scholar
• LeCun, Y., Y. Bengio, and G. Hinton. 2015. “Deep Learning.” Nature 521 (7553): 436–444. doi:10.1038/nature14539.
   PubMed Web of Science ®Google Scholar
• Lehner, B., and P. Döll. 2004. “Development and Validation of a Global Database of Lakes, Reservoirs and Wetlands.” Journal of Hydrology 296 (1-4): 1–22. doi:10.1016/j.jhydrol.2004.03.028.
   Web of Science ®Google Scholar
• Lei, Y., T. Yao, B. W. Bird, K. Yang, J. Zhai, and Y. Sheng. 2013. “Coherent Lake Growth on the Central Tibetan Plateau Since the 1970s: Characterization and Attribution.” Journal of Hydrology 483: 61–67. doi:10.1016/j.jhydrol.2013.01.003.
   Web of Science ®Google Scholar
• Lei, Y., T. Yao, K. Yang, Y. Sheng, M. Kleinherenbrink, S. Yi, B. Bird, X. Zhang, L. Zhu, and G. Zhang. 2017. “Lake Seasonality Across the Tibetan Plateau and Their Varying Relationship with Regional Mass Changes and Local Hydrology.” Geophysical Research Letters 44 (2): 892–900. doi:10.1002/2016GL072062.
   Web of Science ®Google Scholar
• Lhakpa, D., Y. Qiu, P. Lhak, L. Shi, M. Cheng, and B. Cheng. 2022. “Long-term Records of Glacier Evolution and Associated Proglacial Lakes on the Tibetan Plateau (1976–2020).” Big Earth Data 6 (4): 435–452. doi:10.1080/20964471.2022.2131956.
   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. doi:10.1016/j.isprsjprs.2019.04.014.
   Web of Science ®Google Scholar
• Li, S., H. Tan, Z. Liu, Z. Zhou, Y. Liu, W. Zhang, K. Liu, and B. Qin. 2018. “Mapping High Mountain Lakes Using Space-Borne Near-Nadir SAR Observations.” Remote Sensing 10 (9): 1418. doi:10.3390/rs10091418.
   Web of Science ®Google Scholar
• Li, N., R. Wang, Y. Liu, K. Du, J. Chen, and Y. Deng. 2014. “Robust River Boundaries Extraction of Dammed Lakes in Mountain Areas After Wenchuan Earthquake from High Resolution SAR Images Combining Local Connectivity and ACM.” ISPRS Journal of Photogrammetry and Remote Sensing 94: 91–101. doi:10.1016/j.isprsjprs.2014.04.020.
   Web of Science ®Google Scholar
• Liang, D., H. Guo, L. Zhang, Y. Cheng, Q. Zhu, and X. Liu. 2021. “Time-series Snowmelt Detection Over the Antarctic Using Sentinel-1 SAR Images on Google Earth Engine.” Remote Sensing of Environment 256: 112318. doi:10.1016/j.rse.2021.112318.
   Web of Science ®Google Scholar
• Liang, D., H. Guo, L. Zhang, H. Li, and X. Wang. 2022. “Sentinel-1 EW Mode Dataset for Antarctica from 2014–2020 Produced by the CASEarth Cloud Service Platform.” Big Earth Data 6 (4): 385–400. doi:10.1080/20964471.2021.1976706.
   Google Scholar
• Lingyan, C., L. Zhi, and Z. Hong. 2015. “SAR Image Water Extraction Based on Scattering Characteristics.” Remote Sensing Technology and Application 29 (6): 963–969. doi:10.11873/j.issn.1004-0323.2014.6.0963.
   Google Scholar
• Lu, S., L. Jia, L. Zhang, Y. Wei, M. H. A. Baig, Z. Zhai, J. Meng, X. Li, and G. Zhang. 2017. “Lake Water Surface Mapping in the Tibetan Plateau Using the MODIS MOD09Q1 Product.” Remote Sensing Letters 8 (3): 224–233. doi:10.1080/2150704X.2016.1260178.
   Web of Science ®Google Scholar
• Luo, X., X. Tong, and Z. Hu. 2021. “An Applicable and Automatic Method for Earth Surface Water Mapping Based on Multispectral Images.” International Journal of Applied Earth Observation and Geoinformation 103: 102472. doi:10.1016/j.jag.2021.102472
   Google Scholar
• Moser, K. A., J. S. Baron, J. Brahney, I. A. Oleksy, J. E. Saros, E. J. Hundey, S. Sadro, et al. 2019. “Mountain Lakes: Eyes on Global Environmental Change.” Global and Planetary Change 178: 77–95. doi:10.1016/j.gloplacha.2019.04.001.
   Web of Science ®Google Scholar
• Mulch, A., and C. P. Chamberlain. 2006. “The Rise and Growth of Tibet.” Nature 439 (7077): 670–671. doi:10.1038/439670a.
   PubMed Web of Science ®Google Scholar
• Müller, R., S. Kornblith, and G. E. Hinton. 2019. “When Does Label Smoothing Help?” Advances in Neural Information Processing Systems, 32. doi:10.48550/arXiv.1906.02629.
   Google Scholar
• Otsu, N. 1979. “A Threshold Selection Method from Gray-Level Histograms.” IEEE Transactions on Systems, man, and Cybernetics 9 (1): 62–66. doi:10.1109/TSMC.1979.4310076.
   Web of Science ®Google Scholar
• Pritchard, H. D. 2019. “Asia’s Shrinking Glaciers Protect Large Populations from Drought Stress.” Nature 569 (7758): 649–654. doi:10.1038/s41586-019-1240-1.
   PubMed Web of Science ®Google Scholar
• Qiao, B., L. Zhu, and R. Yang. 2019. “Temporal-spatial Differences in Lake Water Storage Changes and Their Links to Climate Change Throughout the Tibetan Plateau.” Remote Sensing of Environment 222: 232–243. doi:10.1016/j.rse.2018.12.037.
   Web of Science ®Google Scholar
• Qiu, Y., H. K. Lappalainen, T. Che, S. Sandven, and T. Zhao. 2022. “Observations and Geophysical Value-Added Datasets for Cold High Mountain and Polar Regions.” Big Earth Data 6 (4): 381–384. doi:10.1080/20964471.2022.2154974.
   Google Scholar
• Sandler, M., A. Howard, M. Zhu, A. Zhmoginov, and L. C. Chen. 2018. “Mobilenetv2: Inverted Residuals and Linear Bottlenecks.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4510–4520.
   Google Scholar
• Shao, Z., X. Meng, D. Zhu, D. Zheng, Z. Qiao, C. Yang, J. Yu, Q. Meng, and R. Lü. 2008. “Characteristics of the Change of Major Lakes on the Qinghai-Tibet Plateau in the Last 25 Years.” Frontiers of Earth Science in China 2 (3): 364–377. doi:10.1007/s11707-008-0038-5.
   Google Scholar
• Shean, D. E., S. Bhushan, P. Montesano, D. R. Rounce, A. Arendt, and B. Osmanoglu. 2020. “A Systematic, Regional Assessment of High Mountain Asia Glacier Mass Balance.” Frontiers in Earth Science 7: 363. doi:10.3389/feart.2019.00363.
   Web of Science ®Google Scholar
• Skakun, S. 2010. “A Neural Network Approach to Flood Mapping Using Satellite Imagery.” Computing and Informatics 29 (6): 1013–1024. url:https://www.cai.sk/ojs/index.php/cai/article/view/127.
   Web of Science ®Google Scholar
• Song, C., B. Huang, K. Richards, L. Ke, and V. Hien Phan. 2014. “Accelerated Lake Expansion on the Tibetan Plateau in the 2000s: Induced by Glacial Melting or Other Processes?” Water Resources Research 50 (4): 3170–3186. doi:10.1002/2013WR014724.
   Web of Science ®Google Scholar
• Strozzi, T., A. Wiesmann, A. Kääb, S. Joshi, and P. Mool. 2012. “Glacial Lake Mapping with Very High Resolution Satellite SAR Data.” Natural Hazards and Earth System Sciences 12 (8): 2487–2498. doi:10.5194/nhess-12-2487-2012.
   Web of Science ®Google Scholar
• Szegedy, C., V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna. 2016. “Rethinking the Inception Architecture for Computer Vision.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2818–2826.
   Google Scholar
• Tong, X., X. Luo, S. Liu, H. Xie, W. Chao, S. Liu, S. Liu, A. N. Makhinov, A. F. Makhinova, and Y. Jiang. 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. doi:10.1016/j.isprsjprs.2017.11.006.
   Web of Science ®Google Scholar
• Twele, A., W. Cao, S. Plank, and S. Martinis. 2016. “Sentinel-1-based Flood Mapping: A Fully Automated Processing Chain.” International Journal of Remote Sensing 37 (13): 2990–3004. doi:10.1080/01431161.2016.1192304.
   Web of Science ®Google Scholar
• Vörösmarty, C. J., P. B. McIntyre, M. O. Gessner, D. Dudgeon, A. Prusevich, P. Green, S. Glidden, et al. 2010. “Global Threats to Human Water Security and River Biodiversity.” Nature 467 (7315): 555–561. doi:10.1038/nature09440.
   PubMed Web of Science ®Google Scholar
• Wang, X., Y. Qiu, Y. Zhang, J. Lemmetyinen, B. Cheng, W. Liang, and M. Leppäranta. 2022. “A Lake ice Phenology Dataset for the Northern Hemisphere Based on Passive Microwave Remote Sensing.” Big Earth Data 6 (4): 401–419. doi:10.1080/20964471.2021.1992916.
   Google Scholar
• Wang, X., F. Siegert, A. G. Zhou, and J. Franke. 2013. “Glacier and Glacial Lake Changes and Their Relationship in the Context of Climate Change, Central Tibetan Plateau 1972–2010.” Global and Planetary Change 111: 246–257. doi:10.1016/j.gloplacha.2013.09.011.
   Web of Science ®Google Scholar
• Wong, C. P., B. Jiang, T. J. Bohn, K. N. Lee, D. P. Lettenmaier, D. Ma, and Z. Ouyang. 2017. “Lake and Wetland Ecosystem Services Measuring Water Storage and Local Climate Regulation.” Water Resources Research 53 (4): 3197–3223. doi:10.1002/2016WR019445.
   Web of Science ®Google Scholar
• Wu, H., H. Song, J. Huang, et al. 2022. “Flood Detection in Dual-Polarization SAR Images Based on Multi-Scale Deeplab Model.” Remote Sensing 14 (20): 5181. doi:10.3390/rs14205181.
   Web of Science ®Google Scholar
• Yao, T., T. Bolch, D. Chen, J. Gao, W. Immerzeel, S. Piao, F. Su, et al. 2022. “The Thaw Beneath our Feet.” Nature Reviews Earth & Environment 3: 1–1. doi:10.1038/s43017-021-00261-w.
   Google Scholar
• Yao, T., V. Masson-Delmotte, J. Gao, W. Yu, X. Yang, C. Risi, C. Sturm, et al. 2013. “A Review of Climatic Controls on δ18O in Precipitation Over the Tibetan Plateau: Observations and Simulations.” Reviews of Geophysics 51 (4): 525–548. doi:10.1002/rog.20023.
   Web of Science ®Google Scholar
• Yao, T., L. G. Thompson, V. Mosbrugger, F. Zhang, Y. Ma, T. Luo, B. Xu, et al. 2012. “Third Pole Environment (TPE).” Environmental Development 3: 52–64. doi:10.1016/j.envdev.2012.04.002.
   Google Scholar
• Zeng, L., M. Schmitt, L. Li, and X. X. Zhu. 2017. “Analysing Changes of the Poyang Lake Water Area Using Sentinel-1 Synthetic Aperture Radar Imagery.” International Journal of Remote Sensing 38 (23): 7041–7069. doi:10.1080/01431161.2017.1370151.
   Web of Science ®Google Scholar
• Zhang, X., N. W. Chan, B. Pan, X. Ge, and H. Yang. 2021. “Mapping Flood by the Object-Based Method Using Backscattering Coefficient and Interference Coherence of Sentinel-1 Time Series.” Science of The Total Environment 794: 148388. doi:10.1016/j.scitotenv.2021.148388.
   PubMed Web of Science ®Google Scholar
• Zhang, Y., B. Li, and D. Zheng. 2002. “A Discussion on the Boundary and Area of the Tibetan Plateau in China.” Geographical Research 21 (1): 1–8. doi:10.11821/yj2002010001.
   Google Scholar
• Zhang, Y., H. Ren, and X. Pan. 2017. “Integration dataset of Tibet Plateau boundary” (dataset). National Tibetan Plateau Data Center, Accessed June 11, 2019.
   Google Scholar
• Zhang, G., T. Yao, W. Chen, G. Zheng, C. K. Shum, K. Yang, A. Piao, et al. 2019. “Regional Differences of Lake Evolution Across China During 1960s–2015 and its Natural and Anthropogenic Causes.” Remote Sensing of Environment 221: 386–404. doi:10.1016/j.rse.2018.11.038.
   Web of Science ®Google Scholar
• Zhang, G., T. Yao, H. Xie, S. Kang, and Y. Lei. 2013. “Increased Mass Over the Tibetan Plateau: From Lakes or Glaciers?” Geophysical Research Letters 40 (10): 2125–2130. doi:10.1002/grl.50462.
   Web of Science ®Google Scholar
• Zhang, R., L. Zhu, Q. Ma, H. Chen, C. Liu, and M. Zubaida. 2021. “The Consecutive Lake Group Water Storage Variations and Their Dynamic Response to Climate Change in the Central Tibetan Plateau.” Journal of Hydrology 601: 126615. doi:10.1016/j.jhydrol.2021.126615.
   Web of Science ®Google Scholar