Bin Wu
Orcid: 0000-0002-1511-2457Affiliations:
- East China Normal University, Shanghai, China
According to our database1,
Bin Wu
authored at least 23 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Measuring human settlement wealth index at 10-km resolution in low- and middle-income countries from 2005 to 2020 using multi-source remote sensing data.
Int. J. Digit. Earth, December, 2024
Integrating NTL Intensity and Building Volume to Improve the Built-Up Areas' Extraction from SDGSAT-1 GLI Data.
Remote. Sens., July, 2024
Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data.
Comput. Environ. Urban Syst., January, 2024
Downscaling NPP-VIIRS Nighttime Light Data Using Vegetation Nighttime Condition Index.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Global spatial patterns between nighttime light intensity and urban building morphology.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023
Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons.
Remote. Sens., August, 2023
Combining ICESat-2 photons and Google Earth Satellite images for building height extraction.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity.
Comput. Environ. Urban Syst., 2023
A Vegetation Nighttime Condition Index Derived From the Triangular Feature Space Between Nighttime Light Intensity and Vegetation Index.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level.
Comput. Environ. Urban Syst., 2022
A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-Borne and Backpack LiDAR Point Clouds.
IEEE Trans. Geosci. Remote. Sens., 2022
The Relationship Between Urban 2-D/3-D Landscape Pattern and Nighttime Light Intensity.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Evaluating the Ability of NOAA-20 Monthly Composite Data for Socioeconomic Indicators Estimation and Urban Area Extraction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data.
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2021
Int. J. Geogr. Inf. Sci., 2021
2020
Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
2019
A surface network based method for studying urban hierarchies by night time light remote sensing data.
Int. J. Geogr. Inf. Sci., 2019
2018
Int. J. Geogr. Inf. Sci., 2018
2017
A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds.
Remote. Sens., 2017
2016
Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data.
Remote. Sens., 2015
2013
A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data.
Remote. Sens., 2013