A5101833612- Land Use and Ecosystem Services
- Climate variability and models
- Ocean Waves and Remote Sensing
- Geographic Information Systems Studies
- Advanced Computational Techniques and Applications
- Diverse Aspects of Tourism Research
- Water Quality Monitoring and Analysis
- Coastal wetland ecosystem dynamics
- Remote-Sensing Image Classification
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Dam Engineering and Safety
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Tropical and Extratropical Cyclones Research
- Urban Green Space and Health
- Urban Transport and Accessibility
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Marine and coastal ecosystems
- Water Quality Monitoring Technologies
- Environmental Changes in China
- Geomechanics and Mining Engineering
- Cryospheric studies and observations
- Conservation, Biodiversity, and Resource Management
- Precipitation Measurement and Analysis
Jiangxi Normal University
2016-2025
International Centre on Space Technologies for Natural and Cultural Heritage
2022-2024
Zhengzhou University
2024
Hubei University of Technology
2023
Wuhan University
2009-2019
Hefei University of Technology
2019
Jiaxing Vocational Technical College
2018
Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute
2016
National Administration of Surveying, Mapping and Geoinformation of China
2016
Ministry of Education of the People's Republic of China
2014
The identification of species within an ecosystem plays a key role in formulating inventory for use the development conservation management plans. classification mangrove typically involves intensive field surveys, whereas remote sensing techniques represent cost-efficient means mapping and monitoring forests at large scales. However, coarse spectral resolution technology has up until recently restricted ability to identify individual species. more recent very high-resolution spatial optical...
Abstract The joint development of cultural heritage protection and tourism is an essential part sustainable tourism. Mount Lushan in China such a site which the past has had shortcomings marketing. present research addresses this issue by using digital technologies as oblique aerial photography, 3D laser scanning technology, 360 degrees panorama technology to digitize landscape site, integrating all elements create virtual subsystem. It provides users with experience promotes In addition,...
“A picture is worth a thousand words”. Analysis of the visual content tourist photos an effective way to explore image destinations. With development computer deep learning and big data mining technology, identifying massive numbers by convolutional neural network (CNN) approaches breaks through limitations manual photos’ information, e.g., small sample size, complex identification process, results deviation. In this study, 531,629 travel Jiangxi were identified as 365 scenes technology....
With industrialization and urbanization, the competition among land production, living, ecological (PLE) spaces has intensified. Particularly in reserves, various types of use restricts coordinated development PLE space. To explore spatial sustainable development, this study starts from a perspective, based on Landsat long time series images. Object-based image analysis (OBIA) landscape index were selected to monitor temporal pattern changes Poyang Lake region (PYL region) 1989 2020. The...
Due to the complexity of wetland ecosystems, wetlands have a wide area alternating land and water zones complex vegetation composition, making it challenging achieve dynamic displays virtual scenes using three-dimensional modeling. This study proposes workflow game engine-based scene construction for rapid modeling scenes. The work utilized Poyang Lake as primary research area. It integrated unmanned aerial vehicle data collection technology geographic information with 3D (three-dimensional)...
The quantification of the extent and dynamics land-use changes is a key metric employed to assess progress toward several Sustainable Development Goals (SDGs) that form part United Nations 2030 Agenda. In terms anthropogenic factors threatening conservation heritage properties, such aids in assessment achievements sustainability solving problem insufficient data availability. Therefore, this study, 589 cultural World Heritage List (WHL) properties from 115 countries were analyzed,...
Rural tourism serves as a crucial means for fostering rural economic prosperity and inheriting culture. The assessment of the quality development identification disparities in among regions have become focal points current research. This paper utilizes big data to establish system evaluating popularity proposes method identifying hotspots. study explores spatiotemporal evolution characteristics formation mechanisms cold hot patterns China during two periods (pre-pandemic post-pandemic) on...
Abstract The land surface, which interacts with lower atmosphere, is subject to substantial amounts of human activities. It results in regional climate fluctuations and must be assessed a combination future socioeconomic emission policies improve resilience responsive efficiency on global mitigation adaptation. Spatial heterogeneity induced by use changes scenarios explored. Comparisons are carried out among both historical use‐induced meteorological investigate various climatic roles...
Change detection has played an increasingly important role in multitemporal remote sensing applications recently. Long time series analysis is providing new information of land cover changes and improving the quality accuracy change being derived from sensing. The purpose this study to dig for more temporal pattern synthetic aperture radar (SAR) image (ITS), which great significance monitoring urban area changes, conducting use surveys, renovating illegal constructions. In study, a novel...
Chlorophyll-a (Chl a) is an important indicator of algal biomass frequently used to evaluate the severity cultural eutrophication. Identifying key covariates Chl a concentrations essential understand mechanisms that drive eutrophication and develop forecasting tools guide restoration process. In this study, we present novel ensemble modeling framework founded upon complementary features Random Forest (RF) Generalized Additive (GAMs). A series RF models are first developed forecast based on...
Bird species detection is critical for applications such as the analysis of bird population dynamics and diversity. However, this task remains challenging due to local structural similarities class imbalances among species. Currently, most deep learning algorithms focus on designing feature extraction modules while ignoring importance global information. information essential accurate detection. To address limitation, we propose BSD-Net, a network. BSD-Net efficiently learns in pixels...
Virtual Geographic Environment Cognition is the attempt to understand human cognition of surface features, geographic processes, and behaviour, as well their relationships in real world. From perspective behaviour analysis simulation, previous work Environments (VGEs) has focused mostly on representing simulating world create an ‘interpretive’ virtual improve individual’s active cognition. In terms reactive cognition, building a user ‘evaluative’ environment complex experiment necessary yet...
Hydrological connectivity is important for maintaining the stability and function of wetland ecosystems. Small-scale hydrological restricts large-scale cycle processes. However, long-term evolutionary studies quantitative evaluation wetlands in Poyang Lake area have not been sufficiently conducted. In this study, we collected 21 Landsat remote sensing images extracted land use data from 1989 to 2020, introducing a morphological spatial pattern analysis model assess connectivity. A...
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Access to real-time environmental sensing data is key representing changes in the digital twin of lakes. The visualization an important part establishing a In past, display methods were either charts or two-dimensional map-based methods. Breaking through traditional and realizing multi-dimensional multi-view lakes something that this particular paper tries resolve. This study proposes framework integrate, manage, analyze, visualize addition, also seeks realize coupling expression geospatial...
We investigated the relationship between leaf area index (LAI) of rice and ENVISAT Advanced Synthetic Aperture Radar (ASAR) vertical/horizontal (VV/HH) polarization ratio. Four alternating ASAR images swaths IS4 IS5 over fields were used in study. The VV/HH ratio correlates well with field‐measured LAI an empirical was established to estimate using A theoretical radiative transfer model adopted analyse relationship. error estimated 0.17 for test site a better correlation found when less than...
Goddard's LiDAR (Light Detection And Ranging), hyperspectral and thermal (G-LiHT) airborne imager is a new system to advance concepts of data fusion for worldwide applications. A recent G-LiHT mission conducted in June 2016 over an urban area opens opportunity assess the products land-cover mapping. In this study, LiDAR-canopy height model (LiDAR-CHM) were evaluated map five broad types. feature/decision-level strategy was developed integrate two products. Contemporary processing techniques...