Article
Environmental Sciences
Fang Ding, Lin Wang, Iryna Dronova, Kun Cao
Summary: Wetland aquatic macrophytes in the Poyang Lake region were classified using Beijing-1 and ENVISAT ASAR images, with a rule-based strategy developed to extract wetland information. The rule-based method achieved more accurate results compared to the decision tree method.
Article
Environmental Sciences
Yang Xia, Chaoyang Fang, Hui Lin, Huizhong Li, Bobo Wu
Summary: This study used Landsat remote sensing images and land use data to assess wetland hydrological connectivity in the Poyang Lake area using a morphological spatial pattern analysis model. The results showed dramatic changes in wetland landscape area, with the core wetland playing a dominant role in hydrological connectivity. The hydrological connectivity of wetlands in the area has been increasing since 2005, driven by precipitation and large-scale water conservation projects.
Article
Water Resources
Shiyong Tao, Xiang Zhang, Guoyan Pan, Jing Xu, Zhenyu Zeng
Summary: The study reveals that the seasonal isotope variation of precipitation in the Poyang Lake Wetland is influenced by climate, mainly due to changes in contributions from different moisture sources. The seasonal isotope variation is not affected by local meteorological factors, but rather by variations in monsoon activities and continental sources.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Environmental Sciences
Omer Burstein, Tamir Grodek, Yehouda Enzel, David Helman
Summary: This study presents a satellite vegetation index time series model (SatVITS-Flood) for detecting historical floods in ungauged hyperarid regions. The model utilizes two time-series metrics and was tested in three regions, showing high accuracy and precision in predicting flood occurrence, volume, and duration.
WATER RESOURCES RESEARCH
(2023)
Article
Biodiversity Conservation
Lijuan Zhu, Yinghai Ke, Jianming Hong, Yuhu Zhang, Yun Pan
Summary: Continuous monitoring and regional-scale assessment of wetland degradation are crucial for understanding wetland ecosystems and formulating restoration measures. This study developed a new wetland degradation index (WDI) to assess the degradation of lake wetlands in Bashang Plateau using time series Landsat imagery from 1985 to 2020. The results showed significant interannual variations in the number and area of lake wetlands, with the western and central regions experiencing more severe degradation compared to the eastern region.
ECOLOGICAL INDICATORS
(2022)
Article
Remote Sensing
Dong Chu, Huanfeng Shen, Xiaobin Guan, Xinghua Li
Summary: Long-term NDVI data are widely used in environmental and ecological research, but cloud interference and contamination affect the quality of the data. The SeasonL1 method proposed in this paper effectively reconstructs multi-year NDVI time series by incorporating information from adjacent years and utilizing the L1-norm for better statistical distribution. The method shows advantages in recovering continuous missing values and preventing over-smoothing in vegetation growth inflection points, indicating its potential in large-scale applications.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Jiajia Wu, Huili Chen, Binsong Jin, Kirk O. Winemiller, Shenhao Wu, Wang Xu, Huan Zhang, Xiaoping Wu
Summary: Biological invasions have significant impacts on biodiversity and ecosystem processes and services. The red swamp crayfish, as one of the most invasive species globally, has extensively invaded the Poyang Lake wetland. The study reveals resource overlap between the invasive crayfish and native species, suggesting potential competition under resource-limited conditions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Wenjing Yang, Jie Zhong, Ying Xia, Qiwu Hu, Chaoyang Fang, Mingyang Cong, Bo Yao, Qinghui You
Summary: Based on the wetland health index (WHI) we established, the Poyang Lake wetland is generally in fair condition, but sample sites where connected rivers flow into the lake were assessed to be in a poor condition, highlighting the importance of reducing pollution input from rivers for wetland conservation.
Article
Geosciences, Multidisciplinary
Xingyun Huang, Yaxuan Li, Huiyin Lin, Xiuting Wen, Jie Liu, Zhifen Yuan, Chun Fu, Bofu Zheng, Leiqiang Gong, Huiying Zhan, Yu Ni, Yang Hu, Peng Zhan, Yingkang Shi, Jun Rong, Ruichang Shen
Summary: Soil microbial metabolic limitations, particularly those related to carbon (C) and phosphorus (P), are primarily influenced by flooding duration (FD) in the Poyang Lake wetland in China. Our research using vector analysis of extracellular enzyme stoichiometry showed that FD had significant negative correlations with both the length and angle of the vector analyses, indicating a decrease in microbial C and P limitations with increasing FD. Flooding directly and indirectly affected microbial C and P limitations through its effects on plant features and soil nutrient ratios. Overall, this study highlights the importance of hydrological regimes in regulating soil microbial metabolic limitations and provides valuable insights for understanding and predicting soil C and nutrient cycling in floodplain wetlands.
Article
Environmental Sciences
Ana Potocnik Buhvald, Matej Racic, Markus Immitzer, Kristof Ostir, Tatjana Veljanovski
Summary: This study assessed the usefulness of combining multisensor remote sensing data and environmental variables for mapping grassland use intensity. The results showed that the proposed Random Forest classification using combined data can provide better and more stable information on grasslands. The feature selection method also helped select the most relevant features.
Article
Environmental Sciences
Guozhuang Shen, Wenxue Fu, Huadong Guo, Jingjuan Liao
Summary: This study utilizes Sentinel-1 SAR data and the WaterUNet algorithm to accurately monitor the water bodies of Poyang Lake. The results show a strong correlation between water area and water level, which can be used to estimate the water area or water level of Poyang Lake.
Article
Engineering, Civil
Qi Huang, Lizhen Liu, Jiacong Huang, Dianwei Chi, Adam Thomas Devlin, Huawu Wu
Summary: The seasonal dynamics of CDOM and DOC in Poyang Lake are important for understanding biogeochemical processes and water quality. Rivers and wetlands greatly influence the quantity and quality of CDOM. The alternations of flood and dry periods have different effects on CDOM and DOC. Wetlands contribute a higher abundance of CDOM and DOC to the lake with lower aromaticity.
JOURNAL OF HYDROLOGY
(2022)
Article
Green & Sustainable Science & Technology
Shuangshuang Zhang, Jin Wei, Yiping Li, Maoqing Duan, Amechi S. Nwankwegu, Eyram Norgbey
Summary: The study conducted a comprehensive analysis of nutrient distribution and soil fertility variations in Nanjishan wetland reserve, revealing significant fluctuations in nutrient concentrations across different seasons and regions, closely related to human activities and water pollution, with an overall risk of eutrophication.
Article
Environmental Sciences
Ruifu Wang, Dongdong Teng, Wenqing Yu, Xi Zhang, Jinshan Zhu
Summary: This research proposes a generative adversarial network (GAN) model for time series satellite cloud image prediction. The model learns the data feature distribution of satellite cloud images and predicts future time series cloud images by considering the time series information. Through the integration of the Mish activation function and implementation of improvement measures such as using the Wasserstein distance, establishing a multiscale network structure, and combining image gradient difference loss, the model achieves better predictive performance. The experimental results demonstrate that the improved GDL-GAN model maintains good visualization effects while accurately capturing the overall changes and movement trends of the predicted cloud images, thereby enhancing the cooperation ability of satellite cloud images in disastrous weather forecasting and early warning.
Article
Environmental Sciences
Amit Sharma, Laurance Hubert-Moy, Sriramulu Buvaneshwari, Muddu Sekhar, Laurent Ruiz, Hemanth Moger, Soumya Bandyopadhyay, Samuel Corgne
Summary: This study focuses on monitoring seasonal irrigated cropland in the Berambadi watershed in southern India using multiple optical satellite images. By calculating seasonal cumulative normalized difference vegetation index and applying support vector machine classification, the study successfully classified irrigated cropland areas. Validation results demonstrate the relevance of multi-source optical satellite data for quantifying areas under groundwater irrigation in tropical regions.
Article
Fisheries
Liwei Xing, Zhenguo Niu, Panpan Xu, Dachong Li
MARINE AND FRESHWATER RESEARCH
(2018)
Article
Environmental Sciences
Dimosthenis Traganos, Dimitris Poursanidis, Bharat Aggarwal, Nektarios Chrysoulakis, Peter Reinartz
Article
Environmental Sciences
Dimosthenis Traganos, Bharat Aggarwal, Dimitris Poursanidis, Konstantinos Topouzelis, Nektarios Chrysoulakis, Peter Reinartz
Article
Environmental Sciences
Yang Li, Zhenguo Niu, Zeyu Xu, Xin Yan
Article
Environmental Sciences
Qianqian Han, Zhenguo Niu
Review
Environmental Sciences
Panpan Xu, Martin Herold, Nandin-Erdene Tsendbazar, Jan G. P. W. Clevers
REMOTE SENSING OF ENVIRONMENT
(2020)
Article
Geography, Physical
Yaomin Zheng, Shudong Wang, Yue Cao, Jinlian Shi, Yi Qu, Liping Li, Tianjie Zhao, Zhenguo Niu, Rui Yang, Peng Gong
Summary: A novel degree of ecological vulnerability index based on Big Earth Data was developed to assess the ecological vulnerability of global protected areas, showing relatively stable spatial patterns between 2001 and 2015. The Caspian Sea basin exhibited high ecological vulnerability, while the Black Sea basin showed low ecological vulnerability. Strengthening international cooperation is crucial in addressing ecological and resource bottlenecks in these significant international basins.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Environmental Sciences
Tao Pan, Wenhui Kuang, Ruoyi Pan, Zhenguo Niu, Yinyin Dou
Summary: This study established a remote-sensing methodology of hierarchical urban land mapping to investigate the urban land changes in Beijing from 1981 to 2021. The results showed that there was a significant increase in impervious surface area during the urban expansion, but greening in the city was still observed. Moreover, the newly expanded urban regions had a lower proportion of impervious surface area and a higher vegetation coverage compared to the old urban regions, indicating a higher quality of life during urban expansion.
Article
Environmental Sciences
Panpan Xu, Nandin-Erdene Tsendbazar, Martin Herold, Jan G. P. W. Clevers
Summary: This study assessed the effectiveness of using existing global datasets to develop a comprehensive and user-oriented GALC database, identifying limitations in current datasets for comprehensive GALC mapping. The results revealed errors and shortcomings in certain maps, highlighting areas for improvement in future GALC characterization.
Article
Environmental Sciences
Liwei Xing, Zhenguo Niu, Cuicui Jiao, Jing Zhang, Shuqing Han, Guodong Cheng, Jianzhai Wu
Summary: Accurate wetland mapping is essential for their protection and management. In this study, a novel method using seasonal rules was proposed to generate reliable seasonal wetland maps. Sentinel-1 and Sentinel-2 data were used to generate a 15-day image time series, and the random forest algorithm was used for image classification. The method was able to accurately identify seasonal wetland types and provide accurate data for wetland protection decision-making.
Article
Ecology
Xin Yan, Rui Wang, Zhenguo Niu
Summary: This study explored the response of wetland vegetation to climate change in China using various datasets and found that wetland vegetation exhibited a downward trend after 2004. The study also revealed a correlation between wetland vegetation NDVI and precipitation or temperature. The impacts of climate change on wetland vegetation and the complexity of their response were discussed.
Article
Environmental Sciences
Panpan Xu, Nandin-Erdene Tsendbazar, Martin Herold, Jan G. P. W. Clevers, Linlin Li
Summary: This study evaluates the potential of multi-source freely available Earth Observation (EO) data for improving the characterization of aquatic land cover globally. Results show that the combination of different data sources can enhance the classification performance of water and vegetation types in aquatic areas. However, single-sensor data has limitations in discriminating mixed and spectrally similar types.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Bo Zhang, Zhenguo Niu, Dongqi Zhang, Xuanlin Huo
Summary: This study examined the evolution characteristics and driving forces of alpine wetlands in the Maqu wetlands located in the eastern part of the Qinghai-Tibet Plateau. The results showed a decrease in wetland area, with wetlands transitioning from wet to dry. Temperature and precipitation were identified as the main driving forces of these changes.
Article
Multidisciplinary Sciences
Qianqian Han, Yijian Zeng, Lijie Zhang, Chao Wang, Egor Prikaziuk, Zhenguo Niu, Bob Su
Summary: This study uses physics-informed machine learning to generate a global, long-term, spatially continuous high resolution dataset of surface soil moisture. The dataset provides surface soil moisture (0-5 cm) at 1 km spatial and daily temporal resolution over the period 2000-2020. The performance of the dataset is evaluated and it can support investigations of climate extremes and long-term trend analysis.
Article
Engineering, Electrical & Electronic
Xin Yan, Zhenguo Niu
Summary: Sample acquisition and updating are crucial yet time-consuming steps in wetland classification and mapping research. This study evaluated the reliability of historical samples from the perspective of water inundation frequency, and proposed three sample migration methods for wetland classification experiment in the Tibetan Plateau. The relationship between the number of samples and classification accuracy was also analyzed in this research.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
