Lu Zhang

ORCID: 0000-0003-2284-8005
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About
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Research Areas
  • Cryospheric studies and observations
  • Marine and coastal ecosystems
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Arctic and Antarctic ice dynamics
  • Atmospheric aerosols and clouds
  • Landslides and related hazards
  • Underwater Acoustics Research
  • Atmospheric chemistry and aerosols
  • Winter Sports Injuries and Performance
  • Remote Sensing in Agriculture
  • Oceanographic and Atmospheric Processes
  • Climate change and permafrost
  • Ocean Waves and Remote Sensing
  • Geophysics and Gravity Measurements
  • Soil and Water Nutrient Dynamics
  • Water Quality Monitoring and Analysis
  • Remote-Sensing Image Classification
  • Fish Ecology and Management Studies
  • Groundwater and Isotope Geochemistry
  • Environmental Toxicology and Ecotoxicology
  • Inertial Sensor and Navigation
  • Water Quality and Pollution Assessment
  • Toxic Organic Pollutants Impact
  • Marine and fisheries research

Nanjing Normal University
2015-2025

Hubei University of Arts and Science
2025

Xiangyang Central Hospital
2025

Chinese Academy of Sciences
2015-2024

Beijing Institute of Big Data Research
2021-2024

University of Chinese Academy of Sciences
2007-2024

Aerospace Information Research Institute
2019-2024

Institute of Remote Sensing and Digital Earth
2011-2024

Peking University
2022-2024

Sichuan Academy of Agricultural Sciences
2021-2024

An approach to sea ice classification using dual polarization RADARSAT-2 ScanSAR data is presented in this paper. It based on support vector machine (SVM). In addition backscatter coefficients and gray-level cooccurrence matrix (GLCM) texture features, concentration was introduced as a basis. To better analyze the information of types, we considered two steps that could improve image quality, noise floor stripe reduction incidence angle normalization. Then, effective GLCM characteristics...

10.1109/jstars.2014.2365215 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2014-11-26

Abstract Eutrophication alters the trophic dynamics in lakes and may result biotic homogenization. How nutrient enrichment drives patterns of taxonomic functional (i.e., trait‐based) homogenization macroinvertebrate assemblages at within‐lake (local) among‐lake (regional) scales is, however, not well understood. Taxonomic compositions 41 middle lower reaches Yangtze River Huaihe were analyzed scales. Our results indicated that there was a significant difference among under different status,...

10.1002/lno.11096 article EN Limnology and Oceanography 2018-12-03

Suffering from speckle noise and complex scattering phenomena, classification results of SAR images are usually noisy shattered, which makes them difficult to use in practical applications. Deep-learning-based semantic segmentation realizes categorization at the same time, thus can obtain smooth fine-grained maps. However, this kind methods require large data sets with pixel-wise categorical annotations, time consuming tedious retrieve. Compared photographs optical remote sensing images,...

10.1109/lgrs.2018.2886559 article EN IEEE Geoscience and Remote Sensing Letters 2019-01-04

The Antarctic ice sheet is an important mass of glacier ice. It particularly sensitive to climate change, and the flow Antarctica's inland glaciers into sea, accelerated by collapsing shelves, threatens global sea level rise. amount snowmelt on surface metric for accurately assessing material loss albedo which affect stability sheet. This study proposes a framework quickly extracting time-series freeze-thaw information at continental scale 40 m resolution taking advantage huge synthetic...

10.1016/j.rse.2021.112318 article EN cc-by-nc-nd Remote Sensing of Environment 2021-02-10

The Yellow River Delta (YRD) wetland is one of the largest and youngest ecosystems in world. It plays an important role regulating climate maintaining ecological balance region. This study analyzes spatiotemporal changes land use, migration, landscape pattern from 2013 to 2022 using Landsat-8 Sentinel-1 data YRD. Then impact human activities are determined by analyzing correlation between socio-economic indicators including nighttime light centroid, total intensity, cultivated area building...

10.1016/j.scitotenv.2023.166239 article EN cc-by The Science of The Total Environment 2023-08-10

World Heritage sites in general are exposed to the impacts of natural hazards, which threaten their integrity and may compromise value. Floods a severe threat Angkor site. Studies regional floods flood hazard zoning have played an increasingly important role ensuring sustainability This study developed index (FHI) model based on geographic information system (GIS) used synthetic aperture radar (SAR) data extract historical at from 2007 2013. Four indices (flood affected frequency, absolute...

10.3390/rs11010098 article EN cc-by Remote Sensing 2019-01-08

10.1016/j.saa.2019.117202 article EN Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy 2019-05-27

Increased temperature accelerates vital rates, influencing microbial population and wider ecosystem dynamics, for example, the predicted increases in cyanobacterial blooms associated with global warming. However, heterotrophic mixotrophic protists, which are dominant grazers of microalgae, may be more thermally sensitive than autotrophs, thus prey could suppressed as rises. Theoretical meta-analyses have begun to address this issue, but an appropriate framework linking experimental data...

10.1038/ismej.2015.225 article EN cc-by-nc-sa The ISME Journal 2015-12-18

Abstract The direct perturbation of anthropogenic aerosols on Earth’s energy balance [i.e., aerosol radiative forcing (DARF)] remains uncertain in climate models. These uncertainties critically depend optical properties, primarily depth (AOD), single scattering albedo (SSA), and the asymmetry factor g . In this study, we investigate intermodel spread DARF across 14 global models within phase 6 Coupled Model Intercomparison Project (CMIP6), using unified transfer calculation parameter...

10.1175/jcli-d-21-0479.1 article EN Journal of Climate 2022-02-04

How to jointly use spatial and polarimetric information in PolSAR analysis has long been an open question. Benefiting from advanced architectures large visual databases, deep convolutional neural networks or convnets (DCNNs) can generate high-level features achieve state-of-the-art performance image analyses. However, because data are not only multiband but also complex valued, these models cannot be easily borrowed process them. In light of this problem, we develop a new set explore the...

10.1109/tgrs.2018.2833156 article EN IEEE Transactions on Geoscience and Remote Sensing 2018-05-23

An extreme dust storm hit North China from March 14 to 16, 2021. With the enhanced observations in Beijing, vertical dispersion of long-range transported was investigated perspective atmospheric turbulence. A framework developed by combining two types turbulence intermittency parameter distinguish intermittent or continuous turbulence; thus, evolution and its roles were clearly illustrated on 15, Initially, remained long quiescent period turbulent exchange suppressed significantly, which...

10.1016/j.atmosres.2022.106033 article EN cc-by-nc-nd Atmospheric Research 2022-01-18
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