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学者姓名：吴文挺
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The rapid spread of Spartina alterniflora poses a critical threat to coastal wetland ecosystems in China, requiring accurate monitoring of its spatiotemporal dynamics for sustainable management. Earth observation data are valuable for tracking vegetation dynamics, but frequent cloud cover, tidal flooding, and spectral confusion challenge the accuracy of satellite-derived coastal vegetation maps. To address these limitations, we developed a method using phenological traits derived from Landsat time series to distinguish Spartina alterniflora from intertidal vegetation communities in Fujian Province. Accuracy assessment of the Spartina alterniflora maps showed an Overall Accuracy(OA) of more than 93%, with a kappa coefficient of more than 0.92 over the study period. The resulting accurate maps showed a significant increase in Spartina alterniflora coverage from 21.41 km2 to 107.14 km2 from 1990 to 2020. Bare flats, which accounted for 60% of the total increase in area, were the primary coastal habitats lost to Spartina alterniflora. An increasing trend of the intertidal ecosystem occurred during the same period due to the rapid invasion of Spartina alterniflora into native habitats. It is also found that there are three types of Spartina alterniflora expansion in spatial pattern, driven by morphology, hydrodynamic environment, and biological stress. Notably, human activities emerged as the dominant factors influencing the expansion of Spartina alterniflora, surpassing natural factors. This suggests that Spartina alterniflora, driven by its remarkable reproductive capacity, will continue to encroach on available habitat. Therefore, strategic management of the coastal zone is crucial to maintain the ecological balance. © 2025 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group.
Keyword ：
driving factors driving factors phenological traits phenological traits remote sensing remote sensing Spartina alterniflora Spartina alterniflora spatiotemporal dynamics spatiotemporal dynamics time series time series
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| GB/T 7714 | Zhang, Q. , Wu, W. , Guo, S. et al. Accurate mapping of Spartina alterniflora in Fujian Province using phenological traits derived from Landsat time series [J]. | Geo-Spatial Information Science , 2025 . |
| MLA | Zhang, Q. et al. "Accurate mapping of Spartina alterniflora in Fujian Province using phenological traits derived from Landsat time series" . | Geo-Spatial Information Science (2025) . |
| APA | Zhang, Q. , Wu, W. , Guo, S. , Wu, L. , Le, T. , Zhou, X. et al. Accurate mapping of Spartina alterniflora in Fujian Province using phenological traits derived from Landsat time series . | Geo-Spatial Information Science , 2025 . |
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The world coastlines in the Anthropocene are experiencing a dramatic transition from natural dynamics to predominantly artificial modifications. The latter causes high uncertainties of future evolution, especially in densely populated mega deltas where natural mudflats are damaged by overexploitation, leading to an irreversible retreat. Based on abundant datasets and an integrated hydro-sediment-dynamics model, we i) examined decadal-centennial historical coastline change of a densely populated mega delta in the Yangtze Estuary, and ii) predicted future morphological developments under variance restoration strategies. We found that human activities, such as intertidal mudflat reclamation and diminished sediment supply from watershed, have disproportionately impacted recent intertidal area change, causing a sixfold greater impact than natural factors of tide, wave, and river runoff combined. Hindcasting using numerical model revealed a unique coastal erosion mechanism post-reclamation and Three Gorges Dam (TGD): a reduced suspended sediment deposition threshold due to sediment fining coupled with increased longshore transport due to wetland lost exacerbates coastal erosion. Various restoration strategies were modelled to identify an approach that could rehabilitate the squeezed tidal flats and degraded wetlands. Our results favor an innovative hybrid "green-grey" structure, combining traditional seawalls ("hard" engineering) with strategically designed long-armed T-groynes ("grey" solution) alongside an integrated saltmarsh ("green" solution) to promote tidal flat growth. This hybrid setup, through a biogeomorphological feedback, captures 30% more sediment than the solely "grey" infrastructure, halving the time needed for tidal flat restoration. Once the intertidal area is recovered, the restored mudflat and habitat could significantly strengthen biodiversity and landscape opportunities, supporting both flood defense and multifunctional ecosystem services.
Keyword ：
Hangzhou bay Hangzhou bay Hydro-sediment-dynamics model Hydro-sediment-dynamics model Sustainable coastal management Sustainable coastal management Tidal flat reclamation Tidal flat reclamation Yangtze estuary Yangtze estuary
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| GB/T 7714 | Mi, Jie , Zhang, Min , Townend, Ian et al. Hybrid green-grey intertidal-flat plus wetland restoration as solution for heavily human-intervened coastline management [J]. | OCEAN & COASTAL MANAGEMENT , 2025 , 262 . |
| MLA | Mi, Jie et al. "Hybrid green-grey intertidal-flat plus wetland restoration as solution for heavily human-intervened coastline management" . | OCEAN & COASTAL MANAGEMENT 262 (2025) . |
| APA | Mi, Jie , Zhang, Min , Townend, Ian , Schwarz, Christian , Willemsen, Pim W. J. M. , Nolte, Stefanie et al. Hybrid green-grey intertidal-flat plus wetland restoration as solution for heavily human-intervened coastline management . | OCEAN & COASTAL MANAGEMENT , 2025 , 262 . |
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Tidal flats in northern China are essential parts of the East Asian-Australasian Flyway, the densest pathway for migratory waterbirds, and are of great ecological and economic importance. They are threatened by human activities and climate change, raising the urgency surrounding tracking the spatiotemporal dynamics of tidal flats. However, there is no cost-effective way to map morphological changes on a large spatial scale due to the inaccessibility of the mudflats. In this study, we proposed a pixel-based multi-indices tidal flat mapping algorithm that precisely characterizes 2D/3D morphological changes in tidal flats in northern China using time-series remote sensing data. An overall accuracy of 0.95 in delineating tidal flats to a 2D extent was achieved, with 11,716 verification points. Our results demonstrate that the reduction in sediment discharge from rivers along the coastlines of the Yellow and Bohai Seas has resulted in an overall decline in the area of tidal flats, from 4856.40 km2 to 4778.32 km2. Specifically, 3D analysis showed that significant losses were observed in the mid-to-high-tidal flat zones, while low-elevation tidal flats experienced an increase in area due to the transformations in mid-to-high-tidal flats. Our results indicate that the sediment inputs from rivers and the succession of native vegetation are the primary drivers leading to 2D/3D morphological changes of tidal flats following the cessation of extensive land reclamation in northern China.
Keyword ：
2D/3D morphological changes 2D/3D morphological changes remote sensing remote sensing tidal flats tidal flats time series time series Yellow and Bohai Seas Yellow and Bohai Seas
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| GB/T 7714 | Gan, Zhiquan , Guo, Shurong , Chen, Chunpeng et al. Tracking the 2D/3D Morphological Changes of Tidal Flats Using Time Series Remote Sensing Data in Northern China [J]. | REMOTE SENSING , 2024 , 16 (5) . |
| MLA | Gan, Zhiquan et al. "Tracking the 2D/3D Morphological Changes of Tidal Flats Using Time Series Remote Sensing Data in Northern China" . | REMOTE SENSING 16 . 5 (2024) . |
| APA | Gan, Zhiquan , Guo, Shurong , Chen, Chunpeng , Zheng, Hanjie , Hu, Yuekai , Su, Hua et al. Tracking the 2D/3D Morphological Changes of Tidal Flats Using Time Series Remote Sensing Data in Northern China . | REMOTE SENSING , 2024 , 16 (5) . |
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Tidal wetlands provide a variety of ecosystem services to coastal communities but suffer severe losses due to anthropogenic activities in the Yangtze River Estuary (YRE). However, the detailed dynamics of tidal wetlands have not been well studied with sufficient spatiotemporal resolution. Here, we proposed a rapid classification method that integrates the COntinuous monitoring of Land Disturbance (COLD) algorithm and Median Composite (MC) based on the dense Landsat time series to track the dynamic processes of tidal wetlands in the YRE from 1990 to 2020. The results showed that the COLD-MC demonstrated remarkable effectiveness in detecting the change of tidal wetlands and excellent overall accuracy and kappa coefficient ranging from 90% to 96% and 0.89-0.95, respectively. The overall accuracy of change detection was 97% with an absolute error of 0.4 years. We found that the total area of tidal wetlands experienced a net loss of 59.75 km2 in the YRE, but the gain and loss of the study period were 1556.07 and 1615.82 km2, respectively. Land reclamation, sediment reduction, and Spartina alterniflora invasion pose significant threats to tidal wetlands. Sustainable management could be implemented through the establishment of nature reserves and ecological sediment enhancement engineering projects.
Keyword ：
COLD-MC COLD-MC dynamic equilibrium dynamic equilibrium land reclamation land reclamation landsat time-series landsat time-series sediment starvation sediment starvation Tidal wetlands Tidal wetlands
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| GB/T 7714 | Wu, Wenting , Lin, Zhibin , Chen, Chunpeng et al. Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
| MLA | Wu, Wenting et al. "Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 17 . 1 (2024) . |
| APA | Wu, Wenting , Lin, Zhibin , Chen, Chunpeng , Chen, Zuoqi , Zhao, Zhiyuan , Su, Hua . Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
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In the context of increasingly serious depletion and security risks of fossil energy, environmental pollution, and challenges of climate change, tidal range energy, and tidal current energy have attracted considerable attention due to their high predictability, insensitivity to flood and drought periods, and minimal environmental impact. In this study, we aim to assess the status of tidal range energy and tidal current energy in the coastal areas of Fujian Province using a high-resolution tidal dynamic model developed from the state-of-the-art model, Delft3D FM. Our results indicate that tidal range energy resources are concentrated in the coastal port areas north of central Fujian, with the highest tidal range energy potential of 1.18×105 KWh/m2 in Xinghua Bay. Tidal range energy resources are primarily concentrated in the waters of Sansha Bay, Pingtan Island, and Quanzhou Bay. Among them, the potential annual average power in Sansha Bay can reach 2.60×105 kWh/m2, with an estimated exploitable capacity of 67.24MW after the installation of tidal current power stations at the inlet channels. These research findings provide data support for site selection in the development of tidal range energy resources in the offshore waters of Fujian. © 2024 IEEE.
Keyword ：
Clean energy Clean energy Tidal power Tidal power
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| GB/T 7714 | Jiala, Erge , Wu, Wenting . Assessing the Potential Tidal Energy Resources in Coastal Areas of Fujian Province [C] . 2024 : 51-54 . |
| MLA | Jiala, Erge et al. "Assessing the Potential Tidal Energy Resources in Coastal Areas of Fujian Province" . (2024) : 51-54 . |
| APA | Jiala, Erge , Wu, Wenting . Assessing the Potential Tidal Energy Resources in Coastal Areas of Fujian Province . (2024) : 51-54 . |
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Assessing the promotion of economic growth between China and the world is challenging given data limitations and the lack of consideration of time delay. Based on the time-series nighttime light (NTL) data from satellites covering more than 100 months, we found that the world is lighting in most countries, even after a sudden jump due to the outbreak of COVID-19. Then, we conducted the convergent cross-mapping before COVID-19 (2014.1-2019.12) and during/after COVID-19 (2020.1-2022.11), we found that the influences from China to the world economic growth in these two phases are widely expanded to more and more economies, the number of which increases from 65 to 73, with a longer time lag, which averagely increased from 4.6 to 6.6 months. On the contrary, the number of economies, which can influence China's economy, is increasing from 48 to 55 but the average lag time is stable at around 4.5 months. Meanwhile, a regional multilateral economic network related to China's economy was found. The economies with mutual causalities with China were mostly concentrated in Asia, Africa, and Europe. China indeed can warm the world economy partially, especially in developing countries and has also benefited from the multilateral economy.
Keyword ：
China China convergent cross-mapping convergent cross-mapping Economic growth Economic growth nighttime light remote sensing nighttime light remote sensing
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| GB/T 7714 | Chen, Zuoqi , You, Xiaojun , Wang, Congxiao et al. An increasing mutual promotion of economic growth between China and the world observed from nighttime light remote sensing [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
| MLA | Chen, Zuoqi et al. "An increasing mutual promotion of economic growth between China and the world observed from nighttime light remote sensing" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 17 . 1 (2024) . |
| APA | Chen, Zuoqi , You, Xiaojun , Wang, Congxiao , Wu, Wenting , Wei, Ye , Shi, Kaifang et al. An increasing mutual promotion of economic growth between China and the world observed from nighttime light remote sensing . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2024 , 17 (1) . |
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The coastal system is a highly active and productive social-ecological system (SES) facing significant challenges from human activities. However, understanding the resilience of this complex system is limited due to conflicting effects of local infrastructure development and regional ecosystem degradation with high spatial precision. This study proposes a holistic indicator, coastal landscape social-ecological resilience (CLSER), to evaluate the historical changes in social-ecological resilience in Fujian's coastal zone over the past two decades. The CLSER considers trade-offs between ecosystems, social systems, and production systems, the subsystems with conflicted interests, providing a comprehensive perspective of integrated land and sea planning at a fine spatial resolution. Results reveal spatial variation in CLSER within Fujian's coastal zone, with poorer conditions (i.e., class I and II) in developed urban areas and better conditions (i.e., class IV and V) in vegetated regions. From 2000 to 2010, CLSER experienced a significant decline, primarily driven by coastal habitat degradation due to extensive land reclamation and shoreline solidification. While there was a slight increase in CLSER from 2010 to 2020 due to the improvement of coastal infrastructure, it did not fully compensate for the overall loss in CLSER. Consequently, Fujian's coastal zone exhibits a more fragile social-ecological system under rapid urbanization, with increasing solid shorelines. The proposed indicator effectively reflects the general resilience of a coastal SES to external disturbances and suggests management strategies for promoting sustainable development in the coastal zone.
Keyword ：
Coastal social -ecological systems Coastal social -ecological systems Landscape Landscape Resilience Resilience Subsystems Subsystems Sustainable management Sustainable management
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| GB/T 7714 | Wu, Wenting , Gao, Yiwei , Chen, Chunpeng . CLSER: A new indicator for the social-ecological resilience of coastal systems and sustainable management [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 435 . |
| MLA | Wu, Wenting et al. "CLSER: A new indicator for the social-ecological resilience of coastal systems and sustainable management" . | JOURNAL OF CLEANER PRODUCTION 435 (2024) . |
| APA | Wu, Wenting , Gao, Yiwei , Chen, Chunpeng . CLSER: A new indicator for the social-ecological resilience of coastal systems and sustainable management . | JOURNAL OF CLEANER PRODUCTION , 2024 , 435 . |
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The urban-rural difference in economy is a key indicator of urban sustainability and socio-economic development, especially when the rapid urbanization has taken place in China. Scientific understanding of the urbanrural economy difference will help the future urbanization process and policy decisions. Different from the traditional analysis based on statistical data, we have conceptualized the novel nighttime light landscape metrics, by analogy to traditional landscape metrics, to reveal the rural and urban economic development, as well as their differences from multi-perspectives (e.g., economic volume and economic expansion). Taking all towns in Fujian province as examples, we found from 2000 to 2020 the urban economic development presents a decoupling between the economic volume and economic space, which satisfies the criteria of high-quality urbanization. The rural economy has a rapid development mainly via the rural construction and structural transformation, which furthermore caused the differences between the coastal and inland urban-rural economic differentiation. Our empirical results indicate the novel nighttime light landscape metrics are valuable indicators to facilitate the analysis of economy distribution and evolution. Also, owing to the conceptualization of traditional landscape metrics, the nighttime light landscape metrics can be further enriched to reveal more information of economic development, even of other fields.
Keyword ：
Landscape metrics Landscape metrics Nighttime light Nighttime light Urban -rural difference Urban -rural difference
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| GB/T 7714 | Chen, Zuoqi , Yu, Siyi , You, Xiaojun et al. New nighttime light landscape metrics for analyzing urban-rural differentiation in economic development at township: A case study of Fujian province, China [J]. | APPLIED GEOGRAPHY , 2023 , 150 . |
| MLA | Chen, Zuoqi et al. "New nighttime light landscape metrics for analyzing urban-rural differentiation in economic development at township: A case study of Fujian province, China" . | APPLIED GEOGRAPHY 150 (2023) . |
| APA | Chen, Zuoqi , Yu, Siyi , You, Xiaojun , Yang, Chengshu , Wang, Congxiao , Lin, Juan et al. New nighttime light landscape metrics for analyzing urban-rural differentiation in economic development at township: A case study of Fujian province, China . | APPLIED GEOGRAPHY , 2023 , 150 . |
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Intertidal mudflats are an important component of the coastal geomorphological system at the interface between ocean and land. Accurate and up-to-date mapping of intertidal topography at high spatial resolution, and tracking of its changes over time, are essential for coastal habitat protection, sustainable management and vulnerability analysis. Compared with ground-based or airborne terrain mapping, the satellite-based waterline method is more cost-effective for constructing large-scale intertidal topography. However, the accuracy of the waterline method is affected by the extraction of waterlines and the calibration of waterline height. The blurred boundary between turbid water and mudflats in the tide-dominated estuary brings enormous challenges in accurate waterline extraction, and the errors in estuarine water level simulations prevent the direct calibration of waterline heights. To address these issues, this paper developed a novel deep learning method using a parallel self-attention mechanism and boundary-focused hybrid loss to extract turbid estuarine waterlines accurately from dense Sentinel-2 time series. UAV photogrammetric surveys were employed to calibrate waterline heights rather than the simulated water levels, such that the error propagation is constrained effectively. Annual intertidal topographic maps of the Yangtze estuary in China were generated from 2020 to 2022 using the optimized waterline method. Experimental results demonstrate that the proposed deep learning method could achieve excellent performance in land and water segmentation in time-varying tidal environments, with better generalization capability compared with benchmark U-Net, U-Net++ and U-Net+++ models. The comparison between the generated topography and UAV photogrammetric observations resulted in an RMSE of 13 cm, indicating the effectiveness of the optimized waterline method in monitoring morphological changes in estuarine mudflats. The generated topographic maps successfully identified hotspots of mudflat erosion and deposition. Specifically, the mudflats connected to the land predominantly experienced deposition of 10-20 cm over the twoyear period, whereas the offshore sandbars exhibited instability and significant erosion of 20-60 cm during the same period. These topographic maps serve as valuable datasets for providing scientific baseline information to support coastal management decisions.
Keyword ：
Deep learning Deep learning Hybrid loss Hybrid loss Intertidal topography Intertidal topography Morphological change Morphological change Self-attention Self-attention
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| GB/T 7714 | Chen, Chunpeng , Zhang, Ce , Tian, Bo et al. Mapping intertidal topographic changes in a highly turbid estuary using dense Sentinel-2 time series with deep learning [J]. | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING , 2023 , 205 : 1-16 . |
| MLA | Chen, Chunpeng et al. "Mapping intertidal topographic changes in a highly turbid estuary using dense Sentinel-2 time series with deep learning" . | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 205 (2023) : 1-16 . |
| APA | Chen, Chunpeng , Zhang, Ce , Tian, Bo , Wu, Wenting , Zhou, Yunxuan . Mapping intertidal topographic changes in a highly turbid estuary using dense Sentinel-2 time series with deep learning . | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING , 2023 , 205 , 1-16 . |
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The rapid, up-to-date, cost-effective acquisition and tracking of intertidal topography are the fundamental basis for timely, high-priority protection and restoration of the intertidal zone. The low cost, ease of use, and flexible UAV-based photogrammetry have revolutionized the monitoring of intertidal zones. However, the capability of the RTK-assisted UAV photogrammetry without ground control points, the impact of flight configuration difference, the presence of surface water in low-lying intertidal areas on the photogrammetric accuracy, and the potential of UAV/satellite Synergy remain unknown. In this paper, we used an RTK-assisted UAV to assess the impact of the above-mentioned considerations quantitatively on photogrammetric results in the context of annual monitoring of the Chongming Dongtan Nature Reserve, China based on an optimal flight combination. The results suggested that (1) RTK-assisted UAVs can obtain high-accuracy topographic data with a vertical RMSE of 3.1 cm, without the need for ground control points. (2) The effect of flight altitude on topographic accuracy was most significant and also nonlinear. (3) The elevation obtained by UAV photogrammetry was overestimated by approximately 2.4 cm in the low-lying water-bearing regions. (4) The integration of UAV and satellite observations can increase the accuracy of satellite-based waterline methods by 51%. These quantitative results not only provide scientific insights and guidelines for the balance between accuracy and efficiency in utilizing UAV-based intertidal monitoring, but also demonstrate the great potential of combined UAV and satellite observations in identifying coastal erosion hotspots. This establishes high-priority protection mechanisms and promotes coastal restoration.
Keyword ：
accuracy accuracy flight optimization flight optimization intertidal topography intertidal topography satellite synergy satellite synergy UAV UAV
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| GB/T 7714 | Chen, Chunpeng , Tian, Bo , Wu, Wenting et al. UAV Photogrammetry in Intertidal Mudflats: Accuracy, Efficiency, and Potential for Integration with Satellite Imagery [J]. | REMOTE SENSING , 2023 , 15 (7) . |
| MLA | Chen, Chunpeng et al. "UAV Photogrammetry in Intertidal Mudflats: Accuracy, Efficiency, and Potential for Integration with Satellite Imagery" . | REMOTE SENSING 15 . 7 (2023) . |
| APA | Chen, Chunpeng , Tian, Bo , Wu, Wenting , Duan, Yuanqiang , Zhou, Yunxuan , Zhang, Ce . UAV Photogrammetry in Intertidal Mudflats: Accuracy, Efficiency, and Potential for Integration with Satellite Imagery . | REMOTE SENSING , 2023 , 15 (7) . |
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