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学者姓名：吴文挺
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Abstract ：
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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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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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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Intertidal zones serve as a critical transition between land and ocean and are periodically inundated by tides. They are extremely important to coastal communities as it provides diverse habitats and buffers against marine hazards. However, the reduced river sediment together with sea level rise and coastal reclamation have caused the widespread loss of intertidal areas. Reliable, high-resolution, and up-to-date intertidal topography maps are key information for coastal vulnerability assessment and restoration. Existing approaches to intertidal topography reconstruction involve significant ground surveys, with limited spatial coverage, accuracy, and efficiency, thus, restricting their potential to generalize globally. To address these issues, we propose a pixel-based approach to construct intertidal topography from dense Sentinel-2 satellite time-series and limited ground truth surveys, named as Tide2Topo. Tide2Topo differs conceptually from the widely used waterline method since it considers tidal inundation frequency as a topographic indicator rather than instantaneous waterlines. Therefore, Tide2Topo does not involve manual selection of images at different tide levels. The relationship between intertidal inundation frequency and elevation is calibrated using linear and polynomial models based on a few transect measurements instead of tidal height, preventing errors introduced by inaccurate tidal data. The proposed Tide2Topo was applied and validated in the UK and China over several complicated estuaries and bays with extensive muddy flats or sandy beaches. The results demonstrated that the topography derived from intertidal inundation frequency compared to LiDAR or UAV photogrammetric observations has a root mean square error ranging from 16 to 38 cm. The large errors were found in the tidal channel areas where the inundation frequency calculation was prone to uncertainty. Dense Sentinel-2 time-series observations ensure finer sampling of the tidal cycle, thereby not only eliminating errors caused by spatial interpolation but also maintaining the accuracy of elevation estimations at pixel level. Tide2Topo is a robust, portable and rapid method that is well suited to largescale intertidal topography reconstruction. Future work could use Sentinel-1 SAR as an alternative data source for Tide2Topo, realizing seasonal or annual monitoring of intertidal geomorphological changes.
Keyword ：
Intertidal topography Intertidal topography Sentinel-2 Sentinel-2 Tide inundation Tide inundation Time-series Time-series
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| GB/T 7714 | Chen, Chunpeng , Zhang, Ce , Tian, Bo et al. Tide2Topo: A new method for mapping intertidal topography accurately in complex estuaries and bays with time-series Sentinel-2 images [J]. | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING , 2023 , 200 : 55-72 . |
| MLA | Chen, Chunpeng et al. "Tide2Topo: A new method for mapping intertidal topography accurately in complex estuaries and bays with time-series Sentinel-2 images" . | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 200 (2023) : 55-72 . |
| APA | Chen, Chunpeng , Zhang, Ce , Tian, Bo , Wu, Wenting , Zhou, Yunxuan . Tide2Topo: A new method for mapping intertidal topography accurately in complex estuaries and bays with time-series Sentinel-2 images . | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING , 2023 , 200 , 55-72 . |
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Abstract ：
定量海洋浮游植物藻华事件的特征有利于认识海洋生态环境及动力过程，但由于遥感数据易受云层遮蔽的影响，以往对于南海藻华事件的研究多采用不连续的观测数据和遥感数据进行，因此未能系统性地认识南海中的藻华事件发生特征和控制规律。本文借鉴海洋热浪事件的统计分析框架，基于前期研究中构建的2005-2019年逐日、无缺失的遥感叶绿素a浓度资料，提取冬季吕宋西北部海域和夏季越南东南部海域两个代表性海区的藻华事件，分析两个代表性海区中藻华事件的持续时间、强度和长期趋势等特征。结果显示，吕宋西北部海域藻华频率降低，强度增大，且大部分海区趋势显著；越南东南部海域大部分海域趋势不显著。进一步分析两个海区藻华事件的影响因子，发现海面风场（正相关）和海表温度（负相关）对藻华事件影响最大；两个代表性海区藻华事件主要都由上升流控制，风是最重要的影响因子。分析藻华事件的先兆条件，发现温度锋面代表的亚中尺度活动也是一个重要的影响因子。本研究以南海为典型案例，为探讨海洋生态环境提供了新的研究视角。
Keyword ：
南海 南海 影响因子 影响因子 无缺失遥感数据 无缺失遥感数据 藻华事件 藻华事件 长期趋势 长期趋势
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| GB/T 7714 | 高心雨 , 王天浩 , 苏华 et al. 南海两个代表性海区藻华事件特征的比较研究 [J]. | 海洋学报 , 2023 , 45 (05) : 90-106 . |
| MLA | 高心雨 et al. "南海两个代表性海区藻华事件特征的比较研究" . | 海洋学报 45 . 05 (2023) : 90-106 . |
| APA | 高心雨 , 王天浩 , 苏华 , 吴文挺 , 卢文芳 . 南海两个代表性海区藻华事件特征的比较研究 . | 海洋学报 , 2023 , 45 (05) , 90-106 . |
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As one of the most ecologically and economically important ecosystems, tidal flats are under severe threat from extensive coastal reclamation. The lack of time-series topographic data limits the understanding of the evolution of tidal flats under stress. Existing approaches to tidal flat topographic mapping are complex and weak in their representation of micro-geomorphic features. In this study, we propose a pixel-by-pixel inundation-based topographic mapping algorithm (PITMA) to accurately reconstruct tidal flat topography from full-time-series satellite imagery and to assess multi-decadal changes in the tidal flats of Fujian Province, which has undergone intensive coastal reclamation. The results show that the proposed algorithm can generate accurate tidal flat topography with an RMSE of 0.30 m in Fujian province. The total areas of tidal flats were 1311.27 km2, 1136.33 km2, and 1048.18 km2 in 2000, 2010, and 2020, respectively. Coastal reclamation in Fujian Province has resulted in the loss of more than 20% of the tidal flats, but the average elevation of the tidal flats has increased by 40% with mean elevations of -0.68m, -0.82m, and -0.41m in 2000, 2010, and 2020, respectively. Meanwhile, the slope of tidal flats also increased in most tidal flats in bay areas. Topographic profiles in 2000, 2010, and 2020 showed that tidal flats in bay areas gained deposition at higher-elevation areas but suffered erosion at lower-elevation areas, due to insufficient sediment availability and extensive land reclamation, then the tidal flats have become narrower and steeper. In contrast, estuarine tidal flats exhibited seaward expansion with stable slopes because of available sediment provision from the upstream river. Such tidal flat morphology would be at increased risk of erosion as sea level rises and sediment supply decreases. This quantitative assessment of the impact of coastal reclamation on tidal flat evolution provides scientific guidance for sustainable coastal management.
Keyword ：
Coastal reclamation Coastal reclamation Inundation Inundation Tidal flats Tidal flats Time series Time series Topographic changes Topographic changes
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| GB/T 7714 | Wu, Wenting , Zhang, Min , Chen, Chunpeng et al. Coastal reclamation shaped narrower and steeper tidal flats in Fujian, China: Evidence from time-series satellite data [J]. | OCEAN & COASTAL MANAGEMENT , 2023 , 247 . |
| MLA | Wu, Wenting et al. "Coastal reclamation shaped narrower and steeper tidal flats in Fujian, China: Evidence from time-series satellite data" . | OCEAN & COASTAL MANAGEMENT 247 (2023) . |
| APA | Wu, Wenting , Zhang, Min , Chen, Chunpeng , Chen, Zuoqi , Yang, Haifei , Su, Hua . Coastal reclamation shaped narrower and steeper tidal flats in Fujian, China: Evidence from time-series satellite data . | OCEAN & COASTAL MANAGEMENT , 2023 , 247 . |
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Ecological catastrophes occurred in China's coastal region as a result of rapid invasion of Spartina alterniflora. It's critical to monitor the spatiotemporal dynamics of Spartina alterniflora. Remote sensing has a superior ability to monitor the dynamics of intertidal wetland vegetation on a broad scale as compared to traditional surveying techniques. However, it is of great challenges to precisely determine the amount of Spartina alterniflora using a single-phase image due to the spectral similarities of vegetation with various species. The extensive remote sensing data still need to be further explored in order to better understand the temporal and geographical characteristics of vegetation. The phonological cycle of the plant can be tracked using the time series remote sensing data, which can then provide additional temporal features for vegetation classification. However, the impacts of cloudy weather and tides in intertidal zones make it challenging to extract the phenological parameters, even though previous phenology-based algorithms can reduce misclassification caused by spectral similarity. In this study, we suggested a method to reduce the impact of cloudy weather and tides on time series remote sensing data by integrating the Maximum-value composite algorithm with Savitzky-Golay (S-G) filter. Then, based on the NDVI time series derived from archived Sentinel-2 data, the two-term Fourier function is used to determine the optimal time window and phenological parameters for the classification of Spartina alterniflora. The landscape of Fujian's coastal zone and the distribution of Spartina alterniflora were finally mapped using a random forest classifier on the Google Earth Engine (GEE) platform. The results revealed that, with an overall accuracy of 89.81% and a Kappa coefficient of 0.88, respectively, the beginning of the growing season (June to July) is the optimum time window for classifying intertidal vegetation. It demonstrates how effectively this technology may be used to monitor Spartina alterniflora on a broad scale in coastal areas. According to the results, Spartina alterniflora had a total area of roughly 100.78 km2 in Fujian's coastal zone in 2020, with the most of it being concentrated in Ningde, Fuzhou, Quanzhou, and Zhangzhou. The largest patches of Spartina alterniflora, with a distribution of 37.79%, were found in Ningde. Due to the coastal geomorphology, Spartina alterniflora displayed a large diversity in its spatial distribution along the Fujian coast. The demonstration in Fujian Province shows that the suggested method can offer significant potential for long-term and extensive spatial scale monitoring of Spartina alterniflora dynamics, which could assist coastal high-quality and sustainable development. © 2023 Journal of Geo-Information Science. All rights reserved.
Keyword ：
Characteristics of spatial distribution Characteristics of spatial distribution GEE GEE Maximum-value Composite Maximum-value Composite NDVI time series NDVI time series Optimum time window Optimum time window Phenology Phenology S-G filtering algorithm S-G filtering algorithm Spartina alterniflora Spartina alterniflora
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| GB/T 7714 | Wu, L. , Wu, W. . The Optimum Time Window for Spartina Alterniflora Classification based on the Filtering Algorithm and Vegetation Phonology Using GEE; [GEE 平台下结合滤波算法和植被物候特征的互花米草遥感提取最优时间窗口确定] [J]. | Journal of Geo-Information Science , 2023 , 25 (3) : 606-624 . |
| MLA | Wu, L. et al. "The Optimum Time Window for Spartina Alterniflora Classification based on the Filtering Algorithm and Vegetation Phonology Using GEE; [GEE 平台下结合滤波算法和植被物候特征的互花米草遥感提取最优时间窗口确定]" . | Journal of Geo-Information Science 25 . 3 (2023) : 606-624 . |
| APA | Wu, L. , Wu, W. . The Optimum Time Window for Spartina Alterniflora Classification based on the Filtering Algorithm and Vegetation Phonology Using GEE; [GEE 平台下结合滤波算法和植被物候特征的互花米草遥感提取最优时间窗口确定] . | Journal of Geo-Information Science , 2023 , 25 (3) , 606-624 . |
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Estuarine wetland vegetation (EWV) serves as a critical indicator of ecosystem health but is increasingly threatened by human activities and climate change. Though remote sensing (RS) data provide a holistic view of vegetation change with sufficient spatial resolution, temporal changes in EWV are still ambiguous because of the twisted signals between phenological dynamics and multi-scale external disturbances. To address these knowledge gaps, a method integrated with multi-resolution analysis wavelet transform (MRA-WT) and time-series RS images were utilized in this study to uncover detailed multiple-scale EWV dynamics from the perspectives of vegetation phenology and evolution trends. Our results showed that: 1) The MRA-WT effectively decomposes NDVI at multiple scales, revealing intra- and inter-annual dynamics of EWV in complex environments. 2) In the Jiuduansha (JDS) wetland, the phenological characteristics and evolution processes of EWV are determined by vegetation type and geographical location. 3) The EWV in the JDS wetland remained stable with gradual growth from 2000 to 2021, despite the impacts of sediment reduction, estuarine projects, and invasive species. However, a declining trend post-2018 serves as a warning sign of potential ecosystem issues. Moreover, higher spatial and temporal resolutions enable more precise tracking of fine-scale details in the dynamics of EWV with the proposed method.
Keyword ：
Estuarine wetland Estuarine wetland Human activity Human activity Jiuduansha Jiuduansha Multi-resolution analysis Multi-resolution analysis Remote sensing Remote sensing Time-series Time-series Vegetation dynamics Vegetation dynamics
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| GB/T 7714 | Wu, Wenting , Deng, Shiyue , Chen, Chunpeng et al. Unraveling Multi-Scale dynamics of estuarine wetland vegetation using the multi-resolution analysis wavelet transform and the Landsat time-series [J]. | ECOLOGICAL INDICATORS , 2023 , 158 . |
| MLA | Wu, Wenting et al. "Unraveling Multi-Scale dynamics of estuarine wetland vegetation using the multi-resolution analysis wavelet transform and the Landsat time-series" . | ECOLOGICAL INDICATORS 158 (2023) . |
| APA | Wu, Wenting , Deng, Shiyue , Chen, Chunpeng , Su, Hua . Unraveling Multi-Scale dynamics of estuarine wetland vegetation using the multi-resolution analysis wavelet transform and the Landsat time-series . | ECOLOGICAL INDICATORS , 2023 , 158 . |
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