A5064852606- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Wind Energy Research and Development
- Coastal wetland ecosystem dynamics
- Wind and Air Flow Studies
- Fluid Dynamics and Vibration Analysis
- Remote Sensing in Agriculture
- Wind Turbine Control Systems
- Environmental Conservation and Management
- Impact of Light on Environment and Health
- Hydrology and Watershed Management Studies
- Remote Sensing and Land Use
- Urban Green Space and Health
- Remote-Sensing Image Classification
- Water resources management and optimization
- Remote Sensing and LiDAR Applications
- Conservation, Biodiversity, and Resource Management
- Business Strategies and Management Research
- Climate variability and models
- Evacuation and Crowd Dynamics
- Solar Radiation and Photovoltaics
- Soil and Land Suitability Analysis
- Groundwater and Watershed Analysis
- Regional Development and Environment
- Coral and Marine Ecosystems Studies
Beijing Normal University
2012-2024
Nanning Normal University
2019-2024
State Key Laboratory of Remote Sensing Science
2023-2024
Hohai University
2023-2024
Qingdao University of Technology
2024
The quantitative assessment and spatial representation of wetland carbon storage, which play a critical role in the global cycle human production, can provide useful data knowledge for decision-making achieving sustainable development goals (SDGs). Currently, activities climate change impacts pose challenge storage coastal urban clusters. We proposed "past-present-future" long time series refined model using Guangxi Beibu Gulf (GBG) Guangdong, Hong Kong, Macao Greater Bay Area (GBA) as study...
The spatiotemporal changes of open-surface water bodies in the Yangtze River Basin (YRB) have profound influences on sustainable economic development, and are also closely relevant to scarcity China. However, long-term YRB remained poorly characterized. Taking advantage Google Earth Engine (GEE) cloud platform, this study processed 75,593 scenes Landsat images investigate from 1984 2018. In study, we adopted percentile-based image composite method collect training samples proposed a multiple...
Wetlands are some of the most highly productive ecosystems on earth and one important environments for human survival development. However, with acceleration industrialization urbanization, wetlands have been constantly occupied destroyed even disappeared in areas, so it is necessary to establish a reasonable scientific ecological risk assessment system wetlands. In this study, 181 counties Beijing-Tianjin-Hebei urban agglomeration (Jing-Jin-Ji) were selected as research objects, an index 22...
Wetlands have suffered from considerable degradation due to anthropogenic and natural disturbances in recent decades. Although some advancements been made, effective methods that can produce large-scale wetland maps with detailed categories are still lacking the diversity complexity of ecosystems. To address this issue, we developed a novel algorithm for types classification integrating k-fold random forest hierarchical decision tree, so named two-step algorithm. Firstly, phenology-based...
Abstract Instantaneous precipitation can often cause devastating disasters on the Earth's surface. Continuous increases in extreme around world have caused widespread concern, and it is necessary to study hourly over a large scale long time series. Using specific numbers of unique point data from 1980 2019, our research found that there are different spatial patterns regarding frequency intensity Mainland China, but clear pattern being weak west strong east China. Most events occurred June...
Understanding the variation regularity of water extent can provide insights into lake conservation and management. In this study, inter- inner-annual variations during period 1987–2020 were analyzed to understand temporal spatial distribution characteristics Dongting Lake. We applied Multiple Index Water Detection Rule extract Lake quickly accurately based on Google Earth Engine platform, then assessed extraction accuracy. The surface analysis results showed that (1) sustainable development...
Surface water is an essential element that supports natural ecosystem health and human life, its losses or gains are closely related to national local sustainable development. Monitoring the spatial-temporal changes in surface can directly support reporting of progress towards development goals (SDGs) outlined by government, especially for measuring SDG 6.6.1 indicators. In our study, we focused on Baiyangdian Lake, important lake North China, explored spatiotemporal extent from 2014 2020....
Mangrove wetlands are hotspots of global biodiversity and blue carbon reserves in coastal wetlands, with unique ecological functions significant socioeconomic value. Annual fine-scale monitoring mangroves is crucial for evaluating national conservation programs implementing sustainable mangrove management strategies. However, annual mapping over large areas using remote sensing remains a challenge due to spectral similarities vegetation, tidal periodic fluctuations, the need consistent...
As one of the most open and dynamic regions in China, Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has been urbanizing rapidly recent decades. The surface water GBA also suffering from urbanization intensified human activities. study aimed to characterize spatiotemporal patterns assess losses gains caused by via long time-series remote sensing data, which could support progress towards sustainable development goals (SDGs) set United Nations, especially for measuring SDG 6.6.1 indicator....
Enhancing the spatio-temporal dynamic monitoring of construction land emerging major cities provides basis for understanding effects human activities on earth’s ecological environment changes, which is regarded as an important way to improve wellbeing and achieve UN SDGs. This paper, uses Nanning example, adopts 30 m annual remote sensing cover datasets from 1990–2021 elaborately analyze temporal evolution spatial expansion evaluate sustainable development level based SDG 11.3.1. The...
Wetland carbon storage plays an essential role in the global cycle. However, recent decades, intensive human activities and rapid urbanization have reduced wetland C stocks Guangdong-Hong Kong-Macau Greater Bay Area (GBA). Long-term assessment of ecosystems GBA is needed for promoting regional sustainable development. Therefore, we proposed a framework integrating InVEST (Integrated Valuation Ecosystem Services Trade-offs) model water inundation frequency, which was retrieved via multiple...
Wetlands provide vital ecological services for both humans and environment, necessitating continuous, refined up-to-date mapping of wetlands conservation management. In this study, we developed an automated wetland framework integrating training sample migration method, supervised machine learning knowledge-driven rules using Google Earth Engine (GEE) platform open-source geospatial tools. We applied the to temporally dense Sentinel-1/2 imagery produce annual maps Dongting Lake Wetland (DLW)...
Sustainable Development Goals (SDGs) target 11.a is a good vision for the coordinated development of economy, society and environment in urban agglomerations. However, there was an extreme lack indicators, data or case studies SDG 11.a, since it vague “process target”, which not conducive to implementation 11.a. It important propose quantitative, convenient, local policies relevant method promote realization test effects Combined with socio-economic land use data, this study uses methods...