Zheng Chen

ORCID: 0000-0001-6864-1822
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About
Contact & Profiles
Research Areas
  • Land Use and Ecosystem Services
  • Flood Risk Assessment and Management
  • Urban Green Space and Health
  • Environmental Changes in China
  • Cryospheric studies and observations
  • Remote Sensing in Agriculture
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Building Energy and Comfort Optimization
  • Urban Heat Island Mitigation
  • Groundwater and Watershed Analysis
  • Coastal wetland ecosystem dynamics
  • Soil erosion and sediment transport
  • Environmental Conservation and Management
  • Climate change impacts on agriculture
  • Remote Sensing and Land Use
  • Combustion and flame dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric chemistry and aerosols
  • Regional Development and Environment
  • Impact of Light on Environment and Health
  • Climate variability and models
  • Martial Arts: Techniques, Psychology, and Education
  • Historical Geography and Cartography
  • Geoscience and Mining Technology
  • Hydrology and Watershed Management Studies

Nanjing Tech University
2022

Chinese Research Academy of Environmental Sciences
2019-2020

Beijing Normal University
2015-2018

Capital Normal University
2014

Peking University
2013

Taipei Municipal Jen-Ai Hospital
2007

Bangur Institute of Neurosciences
1999

Wetlands are one of the most productive ecosystems and play an important role in supporting a wide range biodiversity providing various kinds ecosystem services. Rapid urbanization climate change, however, have resulted disappearance large amounts wetlands. In this research, we developed spatial allocation model by coupling random forest regression CLUE-S algorithm to simulate dynamics wetlands Wuhan Urban Agglomeration. Then, calibrated was used predict wetland distributions from 2015 2040...

10.1016/j.ecolind.2020.106671 article EN cc-by-nc-nd Ecological Indicators 2020-07-10

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...

10.1016/j.ecolind.2020.106677 article EN cc-by-nc-nd Ecological Indicators 2020-07-09

Urban lakes play an important role in urban development and environmental protection for the Wuhan agglomeration. Under impacts of urbanization climate change, understanding lake-water extent dynamics is significant. However, few studies on changes agglomeration exist. This research employed 1375 seasonally continuous Landsat TM/ETM+/OLI data scenes to evaluate from 1987 2015. The random forest model was used extract water bodies based eleven feature variables, including six remote-sensing...

10.3390/rs9030270 article EN cc-by Remote Sensing 2017-03-15

Land subsidence is the disaster phenomenon of environmental geology with regionally surface altitude lowering caused by natural or man-made factors. Beijing, capital city China, has suffered from land since 1950s, and extreme groundwater extraction led to rates more than 100 mm/year. In this study, we employ two SAR datasets acquired Envisat TerraSAR-X satellites investigate deformation in Beijing Plain 2003 2013 based on multi-temporal InSAR technique. Furthermore, also use observation...

10.3390/rs10030365 article EN cc-by Remote Sensing 2018-02-26

Land subsidence is a global environmental geological hazard caused by natural or human activities. The high spatial resolution and continuous time coverage of interferometric synthetic aperture radar (InSAR) series analysis techniques provide data basis for the development methods investigation evolution mechanism study regional land subsidence. Beijing, capital city China, has suffered from decades since it was first recorded in 1950s. It reported that uneven ground fractures have seriously...

10.3390/rs11121466 article EN cc-by Remote Sensing 2019-06-20

The use of remote sensing to monitor surface water bodies has gradually matured. Long-term serial change analysis and floods monitoring are currently research hotspots hydrology. However, these studies also faced with some problems, such as coarse temporal or spatial resolution data. In general, flood requires high resolution, small-scale extraction resolution. machine learning method been proven be effective against long-term extraction, random forests (RFs). MODIS data well suited for...

10.3390/rs10071025 article EN cc-by Remote Sensing 2018-06-27

The availability of ZY-3 satellite data provides additional potential for surveying, mapping, and quantitative studies. Topographic correction, which eliminates the terrain effect caused by topographic relief, is one fundamental steps in preprocessing analysis vegetation. In this paper, we rectified using five commonly used correction models investigate their impact on regression estimation shrub forest leaf biomass obtained from sample plots study area. All corrections were assessed means...

10.3390/rs6042745 article EN cc-by Remote Sensing 2014-03-26

Depletion of water resources has threatened security in the Beijing-Tianjin-Hebei urban agglomeration, China. However, relative importance precipitation and urbanization to storage change not been sufficiently studied. In this study, both terrestrial (TWS) groundwater (GWS) Jing-Jin-Ji from 1979 2010s were investigated, based on global land data assimilation system (GLDAS) EartH2Observe (E2O) outputs, we used a night light index as an urbanization. The results showed that TWS anomaly varied...

10.3390/rs10010004 article EN cc-by Remote Sensing 2017-12-22

Terrestrial water storage (TWS) variation is crucial for global hydrological cycles and resources management under climatic changes. In the previous studies, changes in of some part China have been studied with GRACE data recent ten years. However, spatial pattern over may be different a long period. Here, we aimed to present long-term patterns TWS between 1948 2015 by unique Global Land Data Assimilation System Version 2 identify possible factors The results revealed that inner-annual...

10.1038/s41598-017-06558-5 article EN cc-by Scientific Reports 2017-07-19
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