Abstract
Tidal flats, a precious resource that provides ecological services and land space for coastal zones, are facing threats from human activities and climate change. In this study, a robust decision tree for tidal flat extraction was developed to analyse spatiotemporal variations in the Bohai Rim region during 1984–2019 based on 9539 Landsat TM/OLI surface reflection images and the Google Earth Engine (GEE) cloud platform. The area of tidal flats significantly fluctuated downwards from 3551.22 to 1712.36 km2 in the Bohai Rim region during 1984–2019, and 51.31% of tidal flats were distributed near the Yellow River Delta and Liaohe River Delta during 2017–2019. There occurred a drastic spatial transition of tidal flats with coastline migration towards the ocean. Low-stability tidal flats were mainly distributed in reclamation regions, deltas, and bays near the estuary during 1984–2019. The main factors of tidal flat evolution in the Bohai Rim region included the direct impact of land cover changes in reclamation regions, the continuous impact of a weakening sediment supply, and the potential impact of a deteriorating sediment storage capability. The extraction process and maps herein could provide a reference for the sustainable development and conservation of coastal resources.
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Achanta R, Süsstrunk S, 2017. Superpixels and polygons using simple non-iterative clustering. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 4895–4904.
Belgiu M, Dragut L, 2016. Random forest in remote sensing: A review of applications and future directions. Isprs Journal of Photogrammetry and Remote Sensing, 114: 24–31.
Bi N H, Wang H J, Yang Z H, 2014. Recent changes in the erosion-accretion patterns of the active Huanghe (Yellow River) Delta lobe caused by human activities. Continental Shelf Research, 90: 70–78.
Blum M D, Roberts H H, 2009. Drowning of the Mississippi Delta due to insufficient sediment supply and global sea-level rise. Nature Geoscience, 2(7): 488–491.
Boak E H, Turner I L, 2005. Shoreline definition and detection: A review. Journal of Coastal Research, 21(4): 688–703.
Chen G, Ye Z, Jin R et al., 2021. Spatial-temporal distribution of salt marshes in intertidal zone of China during 1985–2019. Preprints 2021, 2021040146.
Chen J, Ban Y, Li S, 2014. China: Open access to Earth land-cover map. Nature, 514(7523): 434–434.
Chen Y, Dong J, Xiao X et al., 2016. Land claim and loss of tidal flats in the Yangtze Estuary. Scientific Reports, 6(1): 24018.
Chu Z X, Sun X G, Zhai S K et al., 2006. Changing pattern of accretion/erosion of the modem Yellow River (Huanghe) subaerial delta, China: Based on remote sensing images. Marine Geology, 227(1/2): 13–30.
Dada O A, Li G X, Qiao L L et al., 2016. Seasonal shoreline behaviours along the arcuate Niger Delta coast: Complex interaction between fluvial and marine processes. Continental Shelf Research, 122: 51–67.
Ding X, Shan X, Chen Y et al., 2019. Dynamics of shoreline and land reclamation from 1985 to 2015 in the Bohai Sea, China. Journal of Geographical Sciences, 29(12): 2031–2046.
Donchyts G, Schellekens J, Winsemius H et al., 2016. A 30 m resolution surface water mask including estimation of positional and thematic differences using Landsat 8, SRTM and OpenStreetMap: A case study in the Murray-Darling Basin, Australia. Remote Sensing, 8(5): 386–407.
Friedl M A, McIver D K, Hodges J C F et al., 2002. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment, 83(1/2): 287–302.
Fu X-M, Tang H-Y, Liu Y et al., 2021. Resource status and protection strategies of mangroves in China. Journal of Coastal Conservation, 25(4): 42.
Ge Z M, Cao H B, Cui L F et al., 2015. Future vegetation patterns and primary production in the coastal wetlands of East China under sea level rise, sediment reduction, and saltwater intrusion. Journal of Geophysical Research Biogeosciences, 120: 1923–1940.
Ghorbanian A, Kakooei M, Amani M et al., 2020. Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples. Isprs Journal of Photogrammetry and Remote Sensing, 167: 276–288.
Ghosh S, Mishra D R, Gitelson A A, 2016. Long-term monitoring of biophysical characteristics of tidal wetlands in the northern Gulf of Mexico: A methodological approach using MODIS. Remote Sensing of Environment, 173: 39–58.
Han Q, Niu Z, Wu M et al., 2018. Remote-sensing monitoring and analysis of China intertidal zone changes based on tidal correction. Chinese Science Bulletin, 64(4): 456–473.
Hansen M C, Potapov P V, Moore R et al., 2013. High-resolution global maps of 21st-century forest cover change. Science, 342(6160): 850–853.
He T, Xiao W, Zhao Y L et al., 2020. Identification of waterlogging in eastern China induced by mining subsidence: A case study of Google Earth Engine time-series analysis applied to the Huainan coal field. Remote Sensing of Environment, 242: 111742.
Huang H, Chen W, Zhang Y et al., 2021. Analysis of ecological quality in Lhasa Metropolitan Area during 1990–2017 based on remote sensing and Google Earth Engine platform. Journal of Geographical Sciences, 31(2): 265–280.
Huete A, Didan K, Miura T et al., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1/2): 195–213.
Jia M, Wang Z, Mao D et al., 2021. Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine. Remote Sensing of Environment, 255: 112285.
Kumar L, Mutanga O, 2018. Google Earth Engine applications since inception: Usage, trends, and potential. Remote Sensing, 10(10): 1509.
Liang H, Kuang C, Olabarrieta M et al., 2018. Morphodynamic responses of Caofeidian channel-shoal system to sequential large-scale land reclamation. Continental Shelf Research, 165: 12–25.
Liu X, Gao Z, Ning J et al., 2016. An improved method for mapping tidal flats based on remote sensing water-lines: A case study in the Bohai Rim, China. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 9(11): 5123–5129.
Luo W, Yuan L, Yu Z et al., 2011. Regional sea level change in Northwest Pacific: Process, characteristic and prediction. Journal of Geographical Sciences, 21(3): 387–400.
Masek J G, Wulder M A, Markham B et al., 2020. Landsat 9: Empowering open science and applications through continuity. Remote Sensing of Environment, 248: 111968.
Mason D C, Scott T R, Dance S L, 2010. Remote sensing of intertidal morphological change in Morecambe Bay, U.K., between 1991 and 2007. Estuarine Coastal & Shelf Science, 87(3): 487–496.
McFeeters S K, 1996. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7): 1425–1432.
Murray N J, Phinn S R, Clemens R S et al., 2012. Continental scale mapping of tidal flats across East Asia using the Landsat Archive. Remote Sensing, 4(11): 3417–3426.
Murray N J, Phinn S R, DeWitt M et al., 2019. The global distribution and trajectory of tidal flats. Nature, 565(7738): 222–225.
Passeri D L, Hagen S C, Medeiros S C et al., 2015. The dynamic effects of sea level rise on low-gradient coastal landscapes: A review. Earth’s Future, 3(6): 159–181.
Polte P, Schanz A, Asmus H, 2005. The contribution of seagrass beds (Zostera noltii) to the function of tidal flats as a juvenile habitat for dominant, mobile epibenthos in the Wadden Sea. Marine Biology, 147(3): 813–822.
Qiu S, Zhu Z, He B B, 2019. Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery. Remote Sensing of Environment, 231: 111205.
Ren H R, Li G S, Cui L L et al., 2015. Multi-scale variability of water discharge and sediment load into the Bohai Sea from 1950 to 2011. Journal of Geographical Sciences, 25(1): 85–100.
Robert J, Hoeksema, 2007. Three stages in the history of land reclamation in the Netherlands. Irrigation and Drainage, 56(Suppl. 1): S113–S126.
Sagar S, Roberts D, Bala B et al., 2017. Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations. Remote Sensing of Environment, 195: 153–169.
Shi W J, Liu Y T, Shi X L, 2017. Development of quantitative methods for detecting climate contributions to boundary shifts in farming-pastoral ecotone of northern China. Journal of Geographical Sciences, 27(9): 1059–1071.
Song X, Zhong D, Wang G, 2020. Simulation on the stochastic evolution of hydraulic geometry relationships with the stochastic changing bankfull discharges in the Lower Yellow River. Journal of Geographical Sciences, 30(5): 843–864.
Stehman S V, 1997. Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment, 62(1): 77–89.
Temmerman S, Meire P, Bouma T J et al., 2013. Ecosystem-based coastal defence in the face of global change. Nature, 504(7478): 79–83.
Tucker C J, 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2): 127–150.
Wang H, Wang A, Bi N et al., 2014. Seasonal distribution of suspended sediment in the Bohai Sea, China. Continental Shelf Research, 90: 17–32.
Wang X, Xiao X, Zou Z et al., 2018. Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine. Remote Sensing of Environment, 238: 110987.
Wei W, Tang Z, Dai Z et al., 2015. Variations in tidal flats of the Changjiang (Yangtze) estuary during 1950s-2010s: Future crisis and policy implication. Ocean & Coastal Management, 108: 89–96.
Xu H, 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27(14): 3025–3033.
Xue Y Q, Zhang Y, Ye S J et al., 2005. Land subsidence in China. Environmental Geology, 48(6): 713–720.
Yan H, Dai Z, Li J et al., 2011. Distributions of sediments of the tidal flats in response to dynamic actions, Yangtze (Changjiang) Estuary. Journal of Geographical Sciences, 21(4): 719–732.
Yu T, Douglas S, Chen H et al., 2018. Mapping vegetation and land use types in Fanjingshan National Nature Reserve using Google Earth Engine. Remote Sensing, 10(6): 927.
Zhang J, Huang H, Bi H, 2015. Land subsidence in the modern Yellow River Delta based on InSAR time series analysis. Natural Hazards, 75(3): 2385–2397.
Zhang K Y, Dong X Y, Liu Z G et al., 2019. Mapping tidal flats with Landsat 8 images and Google Earth Engine: A case study of the China’s eastern coastal zone circa 2015. Remote Sensing, 11(8): 924–943.
Zhang T, Niu X, 2021. Analysis on the utilization and carrying capacity of coastal tidal flat in bays around the Bohai Sea. Ocean & Coastal Management, 203: 105449.
Zou Z, Dong J, Menarguez M A et al., 2017. Continued decrease of open surface water body area in Oklahoma during 1984–2015. Science of The Total Environment, 595(Oct. 1): 451–460.
Zou Z, Xiao X, Dong J et al., 2018. Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016. PNAS, 115(15): 3810–3815.
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National Key Research and Development Program of China, No.2018YFC0407505; National Natural Science Foundation of China, No.51879182; Science and Technology Planning Program of Tianjin, China, No.21JCQNJC00480.
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Xu Haijue, Associate Professor, E-mail: xiaoxiaoxu_2004@163.com
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Xu, H., Jia, A., Song, X. et al. Extraction and spatiotemporal evolution analysis of tidal flats in the Bohai Rim during 1984–2019 based on remote sensing. J. Geogr. Sci. 33, 76–98 (2023). https://doi.org/10.1007/s11442-023-2075-0
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DOI: https://doi.org/10.1007/s11442-023-2075-0