Qiusheng Wu

Orcid: 0000-0001-5437-4073

According to our database1, Qiusheng Wu authored at least 43 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Enhancing nighttime light remote Sensing: Introducing the nighttime light background value (NLBV) for urban applications.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024

idwMapper: An interactive and data-driven web mapping framework for visualizing and sensing high-dimensional geospatial (big) data.
CoRR, 2024

2023
The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM).
J. Open Source Softw., October, 2023

Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach Using Google Earth Engine.
Remote. Sens., September, 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
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

Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing.
Sensors, 2022

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review.
Remote. Sens., 2022

2021
Multidimensional Assessment of Lake Water Ecosystem Services Using Remote Sensing.
Remote. Sens., 2021

Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment.
J. Open Source Softw., 2021

lidar: A Python package for delineating nested surface depressions from digital elevation data.
J. Open Source Softw., 2021

A spatiotemporal structural graph for characterizing land cover changes.
Int. J. Geogr. Inf. Sci., 2021

Interactive mapping and geospatial analysis with Leafmap and Jupyter.
Proceedings of the SpatialAPI@SIGSPATIAL 2021: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, 2021

2020
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine.
Remote. Sens., 2020

Multidimensional Assessment of Food Provisioning Ecosystem Services Using Remote Sensing and Agricultural Statistics.
Remote. Sens., 2020

Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China.
Remote. Sens., 2020

Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993-2017).
Remote. Sens., 2020

geemap: A Python package for interactive mapping with Google Earth Engine.
J. Open Source Softw., 2020

rgee: An R package for interacting with Google Earth Engine.
J. Open Source Softw., 2020

Analyzing parcel-level relationships between Luojia 1-01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data.
Int. J. Appl. Earth Obs. Geoinformation, 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
Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes.
Remote. Sens., 2018

Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory.
Remote. Sens., 2018

Urban Built-Up Area Extraction From Log- Transformed NPP-VIIRS Nighttime Light Composite Data.
IEEE Geosci. Remote. Sens. Lett., 2018

An Extended Minimum Spanning Tree method for characterizing local urban patterns.
Int. J. Geogr. Inf. Sci., 2018

2017
A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2017

A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds.
Remote. Sens., 2017

Comparison of Satellite Reflectance Algorithms for Estimating Phycocyanin Values and Cyanobacterial Total Biovolume in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations.
Remote. Sens., 2017

Automated delineation and characterization of drumlins using a localized contour tree approach.
Int. J. Appl. Earth Obs. Geoinformation, 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

Evaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Prediction of Water Depth From Multispectral Satellite Imagery - The Regression Kriging Alternative.
IEEE Geosci. Remote. Sens. Lett., 2015

A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical data.
Int. J. Geogr. Inf. Sci., 2015

2014
An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery.
Remote. Sens., 2014

Improved Wetland Classification Using Eight-Band High Resolution Satellite Imagery and a Hybrid Approach.
Remote. Sens., 2014

2012
Assessment of storm-induced coastal morphologic changes and damage using repeat lidar remote sensing surveys.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Algorithmic Foundation and Software Tools for Extracting Shoreline Features from Remote Sensing Imagery and LiDAR Data.
J. Geogr. Inf. Syst., 2011

2010
An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes.
Int. J. Geogr. Inf. Sci., 2010


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