Xiaolin Zhu
Orcid: 0000-0001-6967-786XAffiliations:
- The Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong, China
According to our database1,
Xiaolin Zhu
authored at least 39 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series.
Comput. Electron. Agric., 2024
2023
Within-Season Crop Identification by the Fusion of Spectral Time-Series Data and Historical Crop Planting Data.
Remote. Sens., October, 2023
Int. J. Appl. Earth Obs. Geoinformation, September, 2023
Spatial heterogeneity of uncertainties in daily satellite nighttime light time series.
Int. J. Appl. Earth Obs. Geoinformation, September, 2023
Human labeling errors and their impact on ConvNets for satellite image scene classification.
CoRR, 2023
2022
cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units.
IEEE Trans. Geosci. Remote. Sens., 2022
Cross-Comparison between Sun-Synchronized and Geostationary Satellite-Derived Land Surface Temperature: A Case Study in Hong Kong.
Remote. Sens., 2022
Assessment of a New Fine-Resolution Nighttime Light Imagery From the Yangwang-1 ("Look up 1") Satellite.
IEEE Geosci. Remote. Sens. Lett., 2022
From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
iSEAM: Improving the Blooming Effect Adjustment for DMSP-OLS Nighttime Light Images by Considering Spatial Heterogeneity of Blooming Distance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Parcel-Based Deep-Learning Classification to Map Local Climate Zones From Sentinel-2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Impacts of Satellite Revisit Frequency on Spring Phenology Monitoring of Deciduous Broad-Leaved Forests Based on Vegetation Index Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Characterization of Dry-Season Phenology in Tropical Forests by Reconstructing Cloud-Free Landsat Time Series.
Remote. Sens., 2021
Compliance and containment in social distancing: mathematical modeling of COVID-19 across townships.
Int. J. Geogr. Inf. Sci., 2021
The damage of urban vegetation from super typhoon is associated with landscape factors: Evidence from Sentinel-2 imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion.
IEEE Trans. Geosci. Remote. Sens., 2020
Mapping Urban Slum Settlements Using Very High-Resolution Imagery and Land Boundary Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology.
Remote. Sens., 2020
Monitoring interannual dynamics of desertification in Minqin County, China, using dense Landsat time series.
Int. J. Digit. Earth, 2020
2019
Investigating the Impact of Land Parcelization on Forest Composition and Structure in Southeastern Ohio Using Multi-Source Remotely Sensed Data.
Remote. Sens., 2019
Monitoring of Land Use/Land Cover and Socioeconomic Changes in South China over the Last Three Decades Using Landsat and Nighttime Light Data.
Remote. Sens., 2019
Measurement of blooming effect of DMSP-OLS nighttime light data based on NPP-VIIRS data.
Ann. GIS, 2019
2018
Sensors, 2018
Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions.
Remote. Sens., 2018
A Hybrid Color Mapping Approach to Fusing MODIS and Landsat Images for Forward Prediction.
Remote. Sens., 2018
2017
Enhancing Spatio-Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands.
Remote. Sens., 2017
2015
Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa.
Remote. Sens., 2015
An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images.
Remote. Sens., 2015
Int. J. Digit. Earth, 2015
2014
IEEE Trans. Geosci. Remote. Sens., 2014
Restoration of Information Obscured by Mountainous Shadows Through Landsat TM/ETM+ Images Without the Use of DEM Data: A New Method.
IEEE Trans. Geosci. Remote. Sens., 2014
IEEE Trans. Geosci. Remote. Sens., 2014
2013
Estimating Tree-Root Biomass in Different Depths Using Ground-Penetrating Radar: Evidence from a Controlled Experiment.
IEEE Trans. Geosci. Remote. Sens., 2013
An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model.
Remote. Sens., 2013
2012
A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images.
IEEE Geosci. Remote. Sens. Lett., 2012
IEEE Geosci. Remote. Sens. Lett., 2012