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Zheng Duan

Associate Professor

Lund University

Sweden

Research Interests

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About

Zheng Duan is an Associate Professor at Lund University, Sweden. His research primarily focuses on hydrological modeling, drought assessment, and the use of satellite imagery for environmental monitoring. Recent articles by Professor Duan explore topics such as the impact of soil moisture on droughts in China, lake water level monitoring on the Tibetan Plateau, and the effects of vegetation on coastal carbon cycling. He is dedicated to advancing the understanding of water resource dynamics in various ecological contexts.

Articles (27)

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Collaborators (9)

Wenxin Zhang

Lund University

SWEDEN

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Xueying Li

Lund University

SWEDEN

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Lanhui Wang

Member

Lund University

SWEDEN

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Shangharsha Thapa

Lund University

SWEDEN

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Petter Pilesjö

Professor

Lund University

SWEDEN

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Alex Vermeulen

Lund University

SWEDEN

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Babak Mohammadi

Lund University

SWEDEN

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Jianhong Zhou

Associate Professor

Southwest University

CHINA

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Venkatesh Raghavan

Professor

Osaka Daigaku

JAPAN

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Zheng Duan

Research Interests

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About

Articles (27)

Higher frequency and duration of droughts demonstrated by the critical threshold of soil moisture in China drylands

Evaluation of MODIS NDVI product in a heterogeneous urban environment using five upscaling methods and Landsat 8 product

CEASA: Dominant spatial autocorrelation in dual-constraint calibration as the game-changer for hydrological modeling with high-uncertainty remotely sensed evaporation: Application to the Meichuan basin

Leveraging multi-source satellite imagery for improving daily reservoir water storage and inflow estimation in a catchment hydrological model

Tree-ring width reveals evaporation signals in semi-arid regions of the United States

Development of a new spatially complete and daily continuous lake surface water temperature dataset for Lake Vänern by fusing satellite and reanalysis products

SWOT mission enables high-precision and wide-coverage lake water levels monitoring on the Tibetan Plateau

Land Surface Energy Partitioning Dominates Dry‐Season Water Availability Uncertainties in Earth System Models

Estimating the lake storage capacity on the Tibetan Plateau using satellite altimetry and imagery data: a comparative analysis of water volume change methods

Impacts of Spartina alterniflora invasion on coastal carbon cycling within a native Phragmites australis-dominated wetland

Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China

Publisher Correction: Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data

Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model

Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data

Quantifying freeze-melt dynamics of lakes on the Tibetan Plateau using Sentinel-1 synthetic aperture radar imagery

Assessing the Freeze/Thaw States in Arctic Circle Using FengYun-3E GNOS-R: An Initial Demonstration and Analysis

Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China

Improving the SM2RAIN-derived rainfall estimation using Bayesian optimization

Capturing the spatiotemporal variations in the gross primary productivity in coastal wetlands by integrating eddy covariance, Landsat, and MODIS satellite data: A case study in the Yangtze Estuary, China

Mapping inundation extents in Poyang Lake area using Sentinel-1 data and transformer-based change detection method

Simulating glacier mass balance and its contribution to runoff in Northern Sweden

Triple collocation-based merging of multi-source gridded evapotranspiration data in the Nordic Region

Fusion of gauge-based, reanalysis, and satellite precipitation products using Bayesian model averaging approach: Determination of the influence of different input sources

Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods

GEDI: A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau

Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau

An Extended Triple Collocation Method With Maximized Correlation for Near Global‐Land Precipitation Fusion

Collaborators (9)

Wenxin Zhang

Xueying Li

Lanhui Wang

Shangharsha Thapa

Petter Pilesjö

Alex Vermeulen

Babak Mohammadi

Jianhong Zhou

Venkatesh Raghavan

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