Xiangnan Liu

ORCID: 0000-0003-0036-7091
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Remote-Sensing Image Classification
  • Spectroscopy and Chemometric Analyses
  • Environmental Changes in China
  • Leaf Properties and Growth Measurement
  • Water Quality Monitoring and Analysis
  • Marine and coastal ecosystems
  • Advanced Computational Techniques and Applications
  • Environmental Quality and Pollution
  • Environmental and Agricultural Sciences
  • Geochemistry and Geologic Mapping
  • Remote Sensing and LiDAR Applications
  • Ecology and Vegetation Dynamics Studies
  • Electrocatalysts for Energy Conversion
  • Regional Economic and Spatial Analysis
  • Advanced biosensing and bioanalysis techniques
  • Species Distribution and Climate Change
  • Fuel Cells and Related Materials
  • Geographic Information Systems Studies
  • Plant Water Relations and Carbon Dynamics
  • Water Quality Monitoring Technologies
  • Advanced battery technologies research
  • Urban Heat Island Mitigation

China University of Geosciences (Beijing)
2016-2025

Nanjing Agricultural University
2012-2025

Hunan University of Traditional Chinese Medicine
2024-2025

Harbin Medical University
2020-2024

Shanghai Institute of Technology
2024

Second Affiliated Hospital of Harbin Medical University
2020-2024

Henan University of Traditional Chinese Medicine
2024

Liaocheng University
2024

Tarim University
2024

Beijing University of Chemical Technology
2023

Designing highly durable and active electrocatalysts applied in polymer electrolyte membrane (PEM) electrolyzer for the oxygen evolution reaction remains a grand challenge due to high dissolution of catalysts acidic electrolyte. Hindering formation vacancies by tuning electronic structure improve durability activity was theoretically effective but rarely reported. Herein we demonstrated rationally RuO2 with introducing W Er, which significantly increased vacancy energy. The representative...

10.1038/s41467-020-19212-y article EN cc-by Nature Communications 2020-10-23

Tracking cropland change and its spatiotemporal characteristics can provide a scientific basis for assessments of ecological restoration in reclamation areas. In 1998, an project (Converting Farmland to Lake) was launched Dongting Lake, China, which original lake areas reclaimed were converted back or poplar cultivation This study characterized the resulting long-term (1998–2018) patterns using LandTrendr algorithm with Landsat time-series data derived from Google Earth Engine (GEE). Of...

10.3390/rs11101234 article EN cc-by Remote Sensing 2019-05-24

Electrocatalytic water splitting in acidic media based on a proton-exchange membrane (PEM) is promising technique for the large-scale production of hydrogen. However, developing electrocatalysts with high activity and excellent stability an oxygen evolution reaction (OER) still big challenge. Herein, Cex-IrO2 catalyst supported N-doped porous carbon (NPC) was developed via doping Ce into IrO2 nanoparticles. The nanoparticles were uniformly distributed NPC due to surface area. optimized...

10.1021/acsami.0c00389 article EN ACS Applied Materials & Interfaces 2020-07-24

Land cover changes, especially excessive economic forest plantations, have significantly threatened the ecological security of West Dongting Lake wetland in China. This work aimed to investigate spatiotemporal dynamics forests region from 2000 2018 using a reconstructed monthly Landsat NDVI time series. The multi-type including conversion another land category, category forest, and (such as flooding replantation post-deforestation), categories before after change were effectively detected by...

10.3390/rs12020341 article EN cc-by Remote Sensing 2020-01-20

Eucalyptus plantations are expanding rapidly in southern China owing to their short rotation periods and high wood yields. Determining the plantation dynamics of eucalyptus facilitates accurate operational planning, maximizes benefits, allows scientific management sustainable development plantations. This study proposes a sliding-time-window change detection (STWCD) approach for holistic characterization analysis between 1990 2019 through dense Landsat time-series data. To achieve this,...

10.3390/rs16050744 article EN cc-by Remote Sensing 2024-02-21

Heavy metal stress in crops is a worldwide problem that requires accurate and timely monitoring. This study aimed to improve the accuracy of monitoring heavy levels rice by using multiple Sentinel-2 images. The selected areas are Zhuzhou City, Hunan Province, China. Six images were acquired 2017, concentrations soil measured. A novel vegetation index called sensitive (HMSSI) was proposed. HMSSI ratio between two red-edge spectral indices, namely chlorophyll (CIred-edge) plant senescence...

10.3390/s18072172 article EN cc-by Sensors 2018-07-06

A high-performance organic photoelectrochemical transistor (OPECT) is developed by synergizing a light-sensitive aptamer/CdS QDs/Ti wire gate photoanode with PEDOT:PSS-based device towards detection of the tear biomarker lysozyme.

10.1039/d1sd00074h article EN cc-by-nc Sensors & Diagnostics 2022-01-01

Diabetes mellitus is an independent risk factor for ischemic stroke. Both diabetes and stroke are linked to systemic inflammation that aggravates patient outcomes. Stellate ganglion block can effectively regulate the inflammatory response. Therefore, it hypothesized stellate could be a potential therapy in diabetic subjects. In this study, we induced rats by feeding them high-fat diet 4 successive weeks. The left middle cerebral artery was occluded establish models of rats. Subsequently,...

10.4103/1673-5374.335162 article EN cc-by-nc-sa Neural Regeneration Research 2022-01-01

Extracting fragmented cropland is essential for effective management and sustainable agricultural development. However, extracting presents significant challenges due to its irregular blurred boundaries, as well the diversity in crop types distribution. Deep learning methods are widely used land cover classification. This paper proposes ConvNeXt-U, a lightweight deep network that efficiently extracts while reducing computational requirements saving costs. ConvNeXt-U retains U-shaped...

10.3390/s25010261 article EN cc-by Sensors 2025-01-05

This paper aims to reveal the changing characteristics of contribution rates different production factors in China since reform and opening up from two dimensions: stage space. The study used national data 1978 2021 provincial 2000 2020, combined with methods such as C-D function spatial econometrics for analysis. Research has found that: (1) In terms characteristics, during structural adjustment (1978-1998), economic growth mainly relies on capital labor input, rate land gradually...

10.1371/journal.pone.0313069 article EN cc-by PLoS ONE 2025-01-14

Tailing ponds are used to store tailings or industrial waste discharged after beneficiation. Identifying these in advance can help prevent pollution incidents and reduce their harmful impacts on ecosystems. traditionally identified via manual inspection, which is time-consuming labor-intensive. Therefore, tailing pond identification based computer vision of practical significance for environmental protection safety. In the context identifying remote sensing, a significant challenge arises...

10.3390/rs17030411 article EN cc-by Remote Sensing 2025-01-25

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10.1080/15481603.2019.1658960 article EN public-domain GIScience & Remote Sensing 2019-09-02

Designing efficient electrocatalysts with optimized elements and compositions is of great significance for enhancing the performance electrochemical nitrogen reduction reaction (NRR). Herein we synthesized alloyed Au1Co1 (atomic ratio Au/Co = 1) nanoparticles dispersed on graphene oxide (GO), which was applied to NRR in K2SO4 electrolyte under ambient conditions. Benefiting from elemental composition synergistic interactions Au Co, prepared Au1Co1@GO exhibited superior electrocatalytic a...

10.1021/acssuschemeng.9b06827 article EN ACS Sustainable Chemistry & Engineering 2019-12-20
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