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Xiaolin Zhu

Researcher Next ID · RN-024257

Researcher · Environmental Science

Hong Kong Polytechnic University

Hong Kong, Slovenia

Not currently recruitingFunding unknown
Works count
224
Citation count
13,425
H-index
54
i10-index
131

Research interests

Environmental Science
Earth and Planetary Sciences
Engineering
Remote Sensing in Agriculture
Remote Sensing and Land Use
Remote-Sensing Image Classification
Urban Heat Island Mitigation
Advanced Image Fusion Techniques

Publications

  • Maps of cropping patterns in China during 2015–2021

    Scientific Data · 2022 · https://doi.org/10.1038/s41597-022-01589-8

  • A robust index to extract paddy fields in cloudy regions from SAR time series

    Remote Sensing of Environment · 2022 · https://doi.org/10.1016/j.rse.2022.113374

  • A robust index to extract paddy fields in cloudy regions from SAR time series

    Remote Sensing of Environment · 2022 · https://doi.org/10.1016/j.rse.2022.113374

  • Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction

    Remote Sensing of Environment · 2020 · 10.1016/j.rse.2020.112130

  • FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details

    Remote Sensing of Environment · 2020 · 10.1016/j.rse.2020.111973

  • Plant phenology and global climate change: Current progresses and challenges

    Global Change Biology · 2019 · https://doi.org/10.1111/gcb.14619

  • An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series

    Remote Sensing of Environment · 2019 · https://doi.org/10.1016/j.rse.2019.03.012

  • Autonomous path tracking control of intelligent electric vehicles based on lane detection and optimal preview method

    Expert Systems with Applications · 2018 · 10.1016/j.eswa.2018.12.005

  • Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

    Remote Sensing · 2018 · https://doi.org/10.3390/rs10040527

  • An automatic method for screening clouds and cloud shadows in optical satellite image time series in cloudy regions

    Remote Sensing of Environment · 2018 · https://doi.org/10.1016/j.rse.2018.05.024

  • Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier

    International Journal of Remote Sensing · 2018 · 10.1080/01431161.2018.1513669

  • An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images

    Remote Sensing · 2015 · 10.3390/rs70607865

  • Fusing Landsat and MODIS Data for Vegetation Monitoring

    IEEE Geoscience and Remote Sensing Magazine · 2015 · https://doi.org/10.1109/mgrs.2015.2434351

  • Investigation of the factors that control the development of pore structure in lacustrine shale: A case study of block X in the Ordos Basin, China

    Journal of Natural Gas Science and Engineering · 2015 · 10.1016/j.jngse.2015.07.025

  • A flexible spatiotemporal method for fusing satellite images with different resolutions

    Remote Sensing of Environment · 2015 · https://doi.org/10.1016/j.rse.2015.11.016

  • NDVI and vegetation phenology dynamics under the influence of sunshine duration on the Tibetan plateau

    International Journal of Climatology · 2014 · 10.1002/joc.4013

  • Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series

    ISPRS Journal of Photogrammetry and Remote Sensing · 2014 · https://doi.org/10.1016/j.isprsjprs.2014.08.014

  • Blending MODIS and Landsat images for urban flood mapping

    International Journal of Remote Sensing · 2014 · 10.1080/01431161.2014.903351

  • Accurate mapping of forest types using dense seasonal Landsat time-series

    ISPRS Journal of Photogrammetry and Remote Sensing · 2014 · 10.1016/j.isprsjprs.2014.06.012

  • Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

    Remote Sensing of Environment · 2013 · https://doi.org/10.1016/j.rse.2012.12.014

  • A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images

    Remote Sensing of Environment · 2012 · https://doi.org/10.1016/j.rse.2012.04.019

  • A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

    Remote Sensing of Environment · 2011 · https://doi.org/10.1016/j.rse.2010.12.010

  • Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau

    Agricultural and Forest Meteorology · 2011 · https://doi.org/10.1016/j.agrformet.2011.07.003

  • A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images

    IEEE Geoscience and Remote Sensing Letters · 2011 · https://doi.org/10.1109/lgrs.2011.2173290

  • An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

    Remote Sensing of Environment · 2010 · https://doi.org/10.1016/j.rse.2010.05.032

Current projects

    No projects listed.