QuadrantSearch: A Novel Method for Registering UAV and Backpack LiDAR Point Clouds in Forested Areas.

Evaluating the Potential of SDGSAT-1 Glimmer Imagery for Urban Road Detection.

Generating high-resolution DEMs in mountainous regions using ICESat-2/ATLAS photons.

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.

Integrating NTL Intensity and Building Volume to Improve the Built-Up Areas' Extraction from SDGSAT-1 GLI Data.

Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data.

Downscaling NPP-VIIRS Nighttime Light Data Using Vegetation Nighttime Condition Index.

Global spatial patterns between nighttime light intensity and urban building morphology.

Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons.

Combining ICESat-2 photons and Google Earth Satellite images for building height extraction.

A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity.

A Vegetation Nighttime Condition Index Derived From the Triangular Feature Space Between Nighttime Light Intensity and Vegetation Index.

The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level.

A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-Borne and Backpack LiDAR Point Clouds.

The Relationship Between Urban 2-D/3-D Landscape Pattern and Nighttime Light Intensity.

Evaluating the Ability of NOAA-20 Monthly Composite Data for Socioeconomic Indicators Estimation and Urban Area Extraction.

Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data.

Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm.

A spatiotemporal structural graph for characterizing land cover changes.

Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential.

A surface network based method for studying urban hierarchies by night time light remote sensing data.

An Extended Minimum Spanning Tree method for characterizing local urban patterns.

A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds.

Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests.

Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data.

A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data.