A5017555073- Coastal and Marine Management
- Land Use and Ecosystem Services
- Coral and Marine Ecosystems Studies
- Coastal wetland ecosystem dynamics
- Coastal and Marine Dynamics
- Marine and fisheries research
- Marine and coastal ecosystems
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Oceanographic and Atmospheric Processes
- Conservation, Biodiversity, and Resource Management
- Remote Sensing in Agriculture
- Geographic Information Systems Studies
- Environmental Changes in China
- Maritime Ports and Logistics
- Maritime Navigation and Safety
- Data Management and Algorithms
- Advanced Computational Techniques and Applications
- Oil Palm Production and Sustainability
- International Maritime Law Issues
- Oil Spill Detection and Mitigation
- Rough Sets and Fuzzy Logic
- Remote Sensing and LiDAR Applications
- Data Mining Algorithms and Applications
- Soil and Land Suitability Analysis
Institute of Geographic Sciences and Natural Resources Research
2016-2025
Chinese Academy of Sciences
2016-2025
University of Chinese Academy of Sciences
2012-2025
Nanjing University
2015-2025
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2015-2025
Institute of Hydrobiology, Biology Centre, Academy of Sciences of the Czech Republic
2025
Lanzhou Jiaotong University
2020-2024
State Key Laboratory of Resources and Environmental Information System
2002-2022
Zhejiang Normal University
2021
University of Tasmania
2021
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands deaths. Currently, number infections deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning international relations. In fight against COVID-19, Geographic Information Systems (GIS) big data technologies have played an important role in many aspects, including rapid aggregation multi-source data, visualization...
Aquaculture coasts have become widely distributed in coastal zones as human activities are intensified. Due to the complexity this type of coast, it is difficult extract coastline with traditional automated mapping approaches. In paper, we present an method—object-based region growing integrating edge detection (OBRGIE) for extraction coastline. method, a new object feature named OMI (object merging index) proposed separate land and sea. The OBRGIE method was applied Landsat Thematic Mapper...
Spatial distribution information offers a valuable resource for the growing research on evaluating and managing aquaculture mechanism of its interaction with environment, especially concerning landside clustering ponds (LCAP). However, studies aimed at obtaining data global LCAP remains limited. This study combined edge detection morphology implemented Google Earth Engine (GEE) platform to produce first spatial using 4,015,054 tiles 10-m Sentinel-2 time-series images collected throughout...
The characteristics of changes in wetlands different coastal areas vary, so it is necessary to select representative experimental research wetland degradation, ecosystem service values (ESVs) and differences among various types ecological function fields. goal this study better realize the spatiotemporal degradation ESV order balance economic advancement protection. evolution ESVs was analyzed by using equivalent correction technique contribution degree. random forest (RF) classification...
Mangrove forests, which are essential for stabilizing coastal ecosystems, have been suffering from a dramatic decline over the past several decades. Mapping mangrove forests using satellite imagery is an efficient way to provide key data forest conservation. Since periodically submerged by tides, current methods of mapping normally based on single-date, remote-sensing imagery, often underestimate spatial distribution especially when images used were recorded during high-tide periods. In this...
Unprecedented urbanization has occurred globally, which converted substantial natural landscapes into impervious surfaces and further impacted ecosystem services functioning. In this study, we quantified the spatiotemporal patterns of investigated impacts on service value (ESV) in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) China from 1980 to 2018. The results show that GBA experienced extensive urbanization, with urban area increasing 2607.4 8243.5 km2 Zhongshan, Zhuhai, Dongguan,...
Decreased human activities from COVID-19 containment measures caused a brighter, earlier, and greener 2020 spring in China.
Accurate remote sensing and mapping of land cover in the tropics remain difficult tasks since data gaps a heterogenic landscape make it challenging to perform classification. In this paper, we proposed multi-feature classification method integrate temporal statistical features with spectral textural features. This is designed improve accuracy cloud-prone tropical regions. Sentinel-2 images were used construct an NDVI stack for time-series analysis characterize variance cover. Two indices...
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In this study, an improved Data INterpolating Empirical Orthogonal Functions (DINEOF) algorithm for determination of missing values in a spatio-temporal dataset is presented. Compared with the ordinary DINEOF algorithm, iterative reconstruction procedure until convergence based on every fixed EOF to determine optimal mode not necessary and criterion only reached once algorithm. Moreover, after determination, initial matrix data will be iteratively reconstructed convergent. However, may best...
Timely and accurate regional rice paddy monitoring plays a significant role in maintaining the sustainable production, food security, agricultural development. This study proposes an operational automatic approach to mapping paddies using time-series SAR data. The proposed method integrates Sentinel-1 data, auxiliary data of global surface water, phenological characteristics with Google Earth Engine cloud computing platform. A total 402 scenes from 2017 were used for extent Mun River basin....
Ecosystem services provide important support for the sustainable development of humans; these are provided by various ecosystems, but they have been severely influenced anthropogenic activities globally in past several decades. To respond to Sustainable Development Goals United Nations, this study investigated changes ecosystem structure and estimated associated value (ESV) since China’s reform opening-up policy Guangdong-Hong Kong-Macao Greater Bay Area (GBA), one most developed populous...
The mid-depth ocean circulation is critically linked to actual changes in the long-term global climate system. However, past few decades, predictions based on models highlight lack of data, knowledge, and implications change assessment. Here, using 842,421 observations produced by Argo floats from 2001-2020, Lagrangian simulations, we show that only 3.8% oceans, including part equatorial Pacific Ocean Antarctic Circumpolar Current, can be regarded as accurately modelled, while other regions...
Coral bleaching, caused by elevated sea surface temperature (SST), is occurring more frequently and seriously worldwide. Due to the lack of field observations, we understand little about large-scale variability thermal stress in South China Sea (SCS) its effect on China's coral reefs. This paper used 4-km high resolution gap-filled SST (FilledSST) data related bleaching derived from Reef Temperature Anomaly Database (CoRTAD) quantify spatial temporal characteristics chronic acute reefs SCS...
Practical efficient regional land-use planning requires planners to balance competing uses, policies, spatial compatibilities, and priorities across the social, economic, ecological domains. Genetic algorithm optimization has progressed complex planning, but challenges remain in developing practical alternatives random initialization, genetic mutations, pragmatically objectives. To meet these needs, we developed a Land use Intensity-restricted Multi-objective Spatial Optimization (LIr-MSO)...
A band selection model was described for efficient and accurate remotely-sensed vegetation mapping in cloudy mixed-vegetation areas, demonstrated with an application on mangroves Southeast Asia (SE Asia). We show how to use multi-source satellite imagery Cloud Computing Platforms improve computational efficiency complex environments. key element of the method relies upon field surveys establish a detailed sample database that includes easily-confused land cover. The Maximal Separability...
The maritime transport of containers between ports accounts for the bulk global trade by weight and value. Transport impedance among through transit times port infrastructures can, however, impact accessibility, performance, attractiveness ports. Assessments routes based on performance criteria can provide a topological liner shipping network that quantifies profile Here, we constructed directed (GLSN) top six companies Africa, Asia, North/South America, Europe, Oceania. Network linkages...