- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Remote Sensing and Land Use
- Tropical and Extratropical Cyclones Research
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Urban Stormwater Management Solutions
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Climate variability and models
- Climate change impacts on agriculture
- Hydrology and Watershed Management Studies
- Remote-Sensing Image Classification
- Urban Green Space and Health
- Advanced Algorithms and Applications
- Environmental and Agricultural Sciences
- Ocean Waves and Remote Sensing
- Environmental Changes in China
- Precipitation Measurement and Analysis
- Advanced Image Fusion Techniques
- Geochemistry and Geologic Mapping
- Conservation, Biodiversity, and Resource Management
- Coastal wetland ecosystem dynamics
- Remote Sensing and LiDAR Applications
- Plant responses to elevated CO2
Hangzhou Normal University
2014-2025
Affiliated Hospital of Hangzhou Normal University
2013-2024
Zhejiang Provincial Institute of Communications Planning,Design & Research
2018-2024
State Key Laboratory of Remote Sensing Science
2017
Beijing Normal University
2009-2011
State Key Laboratory of Earth Surface Processes and Resource Ecology
2010
Abstract In addition to human activities, this study found that topography is also an important factor affecting land surface temperature (LST). paper, based on Landsat 8 OLI/TIRS remote sensing images, a radiative transfer model was adopted retrieve the LST, and maximum likelihood method used remove artificial environmental interference factors, such as water bodies built-up lands. This paper aims analyze influence of topographic elevation, slope, aspect shaded relief, LST Hangzhou. By...
As the worst natural disaster on record in Dominica and Puerto Rico, Hurricane Maria September 2017 had a large impact vegetation of these islands. In this paper, multitemporal Landsat 8 OLI Sentinel-2 data are used to investigate damage Rico by Maria, related influencing factors analyzed. Moreover, changes normalized difference index (NDVI) year compared reference years (2015 2016). The results show that (1) there is sudden drop NDVI values after Maria’s landfall (decreased about 0.2) which...
Increase in urban flood hazards has become a major threat to cities, causing considerable losses of life and the economy. To improve pre-disaster strategies mitigate potential losses, it is important make susceptibility assessments carry out spatiotemporal analyses. In this study, we used standard deviation ellipse (SDE) analyze spatial pattern floods find area interest (AOI) based upon related social media data that were collected Chengdu city, China. We as response variable selected 10...
The land use and cover changes in rapidly urbanized regions is one of the main causes water quality deterioration. However, due to heterogeneity urban patterns spatial scale effects, a clear understanding relationships between remains elusive. primary purpose this study investigate effects on across multi scales region Hangzhou City, China. results showed that response characteristics stream were scale-dependent. total nitrogen (TN) was more closely related with at circular buffer scale,...
Abstract In recent decades, rapid urbanization and climate change have led to the degradation of many coastal wetlands, impairing their ecosystem functions services. However, few studies analyzed how these historical trends will continue into future, especially in rapidly developing regions. Here, we quantified long‐term wetland from 1984 2016 Hangzhou Bay then developed land use simulation models predict spatial locations 2046 under different scenarios. Key findings include following: (a)...
The rapid urbanization worldwide has brought various environmental problems. urban heat island (UHI) phenomenon is one of the most concerning issues because its strong relation with daily lives. Water bodies are generally considered a vital resource to relieve UHI. In this context, it critical develop method for measuring cooling effect and scale water in areas. study, West Lake Xuanwu Lake, two famous natural inner-city lakes, selected as targets. scatter plot multiple linear regression...
Although extensive studies have investigated changes in regional ecosystem services (ESs) under rapid urbanization, few analyses used high-resolution image data to investigate urban wetlands. Taking the Xixi wetland region as a case area, this study aimed temporal and spatial variation influencing factors of typical ESs during 1984–2018 using images. The results showed that underwent substantial land use well different ESs. While carbon storage presented an increasing trend from 223.25 t/ha...
Accurate digital data on agricultural fields are crucial for various agriculture applications. While deep learning methods have shown promise in delineating from high-resolution imagery, there is a lack of research evaluating key techniques field boundary detection. Challenges also exist converting detection results into high-quality fields. This study addresses these issues and proposes generalized framework delineation (GF-AFD). First, we identify three apply them to MPSPNet model....
Urban flooding, driven by extreme rainfall events and urbanization, poses substantial risks to urban safety infrastructure. This study employed a neighborhood-scale InfoWorks ICM model analyze the full-process impacts of flooding under six return periods in Haining, China. The results reveal distinct non-linear responses from 3-year 50-year period: (1) surface runoff volume increases 64.3%, with peak timing advancing about one minute; (2) overflow nodes rise 37.35% 63.24%, durations over 30...
In the context of global climate change and rapid urbanization, risk urban flood disasters caused by heavy rainfall is continuously increasing. To effectively address this challenge, study developed a stormwater flooding simulation model at community scale coupling one-dimensional pipe network hydrodynamic (SWMM) with two-dimensional surface water (LISFLOOD-FP), particular emphasis on impact temporal dynamics outcomes.The process integrates time step synchronization, data transmission,...
Accurate and timely information describing urban wetland resources their changes over time, especially in rapidly urbanizing areas, is becoming more important. We applied an object-based image analysis nearest neighbour classifier to map monitor land use/cover using multi-temporal high spatial resolution satellite imagery area (Hangzhou Xixi Wetland) from 2000, 2005, 2007, 2009 2013. The overall eight-class classification accuracies averaged 84.47% for the five years. maps showed that...
Under the circumstances of global warming and rapid urbanization, damage caused by urban inundation are becoming increasingly severe, attracting attention both researchers governors. The accurate simulation is essential for prevention hazards. In this study, a 1D pipe network 2D coupling model constructed InfoWorks ICM was used to simulate conditions in typical urbanized area north Lin’an. Two historical rainfall events 2020 were utilized verify modeling results. spatial–temporal variation...
The increasing frequency of urban flood disasters presents a significant obstacle to sustainability. Urban management aims reduce the occurrences, currently addressed through drainage systems. Previous studies have demonstrated future precipitation extremes will pose larger pressure on network, but when and where reach dangerous level never been assessed in any city China. This study establishes initial framework for identifying critical decades hot spots changes due climate change, case...
Urban inundation mapping is important for early warning, management, and drainage network planning. flood simulations typically utilize a 1D model focused on pipe nodes, whereas 2D are required over land area. In this paper, our focus their coupling, so that dynamic 1D-2D obtained. We couple the Storm Water Management Model (SWMM), widely utilized urban model, with models to simulate inundation. The coupled uses output, which represents overflow volume of sparsely distributed nodes. After...