Dengsheng Lu
Orcid: 0000-0003-4767-5710
According to our database1,
Dengsheng Lu
authored at least 43 papers
between 2008 and 2024.
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Bibliography
2024
Examining the Effects of Soil and Water Conservation Measures on Patterns and Magnitudes of Vegetation Cover Change in a Subtropical Region Using Time Series Landsat Imagery.
Remote. Sens., February, 2024
2023
Integration of Landsat time-series vegetation indices improves consistency of change detection.
Int. J. Digit. Earth, December, 2023
Vertical Characteristics of Vegetation Distribution in Wuyishan National Park Based on Multi-Source High-Resolution Remotely Sensed Data.
Remote. Sens., October, 2023
Forest Structure Simulation of Eucalyptus Plantation Using Remote-Sensing-Based Forest Age Data and 3-PG Model.
Remote. Sens., January, 2023
2022
Remote. Sens., 2022
Examining Vegetation Change and Associated Spatial Patterns in Wuyishan National Park at Different Protection Levels.
Remote. Sens., 2022
2021
Mapping Global Urban Impervious Surface and Green Space Fractions Using Google Earth Engine.
Remote. Sens., 2021
Integration of ZiYuan-3 multispectral and stereo imagery for mapping urban vegetation using the hierarchy-based classifier.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Exploring a uniform procedure to map <i>Eucalyptus</i> plantations based on fused medium-high spatial resolution satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region.
Remote. Sens., 2020
Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data.
Remote. Sens., 2020
Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data.
Remote. Sens., 2020
2019
Comparative Study on Variable Selection Approaches in Establishment of Remote Sensing Model for Forest Biomass Estimation.
Remote. Sens., 2019
Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data.
Remote. Sens., 2019
High-Resolution Urban Land Mapping in China from Sentinel 1A/2 Imagery Based on Google Earth Engine.
Remote. Sens., 2019
Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China.
Remote. Sens., 2019
Remote. Sens., 2019
2018
Examining Spatial Patterns of Urban Distribution and Impacts of Physical Conditions on Urbanization in Coastal and Inland Metropoles.
Remote. Sens., 2018
Examining Land Cover and Greenness Dynamics in Hangzhou Bay in 1985-2016 Using Landsat Time-Series Data.
Remote. Sens., 2018
Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region.
Remote. Sens., 2018
A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China.
Remote. Sens., 2018
Int. J. Appl. Earth Obs. Geoinformation, 2018
2017
Mapping <i>Torreya grandis</i> Spatial Distribution Using High Spatial Resolution Satellite Imagery with the Expert Rules-Based Approach.
Remote. Sens., 2017
Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products.
Remote. Sens., 2017
Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data.
Remote. Sens., 2017
Improving Fractional Impervious Surface Mapping Performance through Combination of DMSP-OLS and MODIS NDVI Data.
Remote. Sens., 2017
Examining Spatial Distribution and Dynamic Change of Urban Land Covers in the Brazilian Amazon Using Multitemporal Multisensor High Spatial Resolution Satellite Imagery.
Remote. Sens., 2017
Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon.
Int. J. Digit. Earth, 2017
2016
Exploring the Capability of ALOS PALSAR L-Band Fully Polarimetric Data for Land Cover Classification in Tropical Environments.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data.
Remote. Sens., 2016
Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation.
Remote. Sens., 2016
Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery.
Remote. Sens., 2016
Examining Urban Impervious Surface Distribution and Its Dynamic Change in Hangzhou Metropolis.
Remote. Sens., 2016
Modeling and Mapping Agroforestry Aboveground Biomass in the Brazilian Amazon Using Airborne Lidar Data.
Remote. Sens., 2016
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems.
Int. J. Digit. Earth, 2016
Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Mapping Impervious Surface Distribution with Integration of SNNP VIIRS-DNB and MODIS NDVI Data.
Remote. Sens., 2015
Int. J. Distributed Sens. Networks, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Examining Land Use and Land Cover Spatiotemporal Change and Driving Forces in Beijing from 1978 to 2010.
Remote. Sens., 2014
Int. J. Digit. Earth, 2014
2008
The Spatial Variations of Urban Land Surface Temperatures: Pertinent Factors, Zoning Effect, and Seasonal Variability.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2008
A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States.
Int. J. Appl. Earth Obs. Geoinformation, 2008