Name
Affiliation
Papers
DENGSHENG LU
Zhejiang A&F Univ, Zhejiang Prov Key Lab Carbon Cycling Forest Ecosy, Linan, Zhejiang, Peoples R China
39
Collaborators
Citations 
PageRank 
117
141
23.73
Referers 
Referees 
References 
531
487
157
Search Limit
100531
Title
Citations
PageRank
Year
Examining Vegetation Change and Associated Spatial Patterns in Wuyishan National Park at Different Protection Levels00.342022
Examining the Role of UAV Lidar Data in Improving Tree Volume Calculation Accuracy00.342022
Exploring a uniform procedure to map Eucalyptus plantations based on fused medium–high spatial resolution satellite images00.342021
Mapping Global Urban Impervious Surface and Green Space Fractions Using Google Earth Engine00.342021
Integration of ZiYuan-3 multispectral and stereo imagery for mapping urban vegetation using the hierarchy-based classifier20.432021
Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data00.342020
Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region.00.342020
Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data.00.342020
Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data.00.342019
Comparative Study on Variable Selection Approaches in Establishment of Remote Sensing Model for Forest Biomass Estimation.00.342019
Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China.00.342019
High-Resolution Urban Land Mapping in China from Sentinel 1A/2 Imagery Based on Google Earth Engine.00.342019
Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data.00.342019
Examining Land Cover and Greenness Dynamics in Hangzhou Bay in 1985-2016 Using Landsat Time-Series Data.00.342018
Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region.40.492018
A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China.10.402018
Mapping croplands, cropping patterns, and crop types using MODIS time-series data.30.432018
Examining Spatial Patterns of Urban Distribution and Impacts of Physical Conditions on Urbanization in Coastal and Inland Metropoles.00.342018
Mapping Torreya grandis Spatial Distribution Using High Spatial Resolution Satellite Imagery with the Expert Rules-Based Approach.20.422017
Examining Spatial Distribution and Dynamic Change of Urban Land Covers in the Brazilian Amazon Using Multitemporal Multisensor High Spatial Resolution Satellite Imagery.30.492017
Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data.10.372017
Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon.30.462017
Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products.00.342017
Improving Fractional Impervious Surface Mapping Performance through Combination of DMSP-OLS and MODIS NDVI Data.40.442017
Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data.90.602016
Exploring the Capability of ALOS PALSAR L-Band Fully Polarimetric Data for Land Cover Classification in Tropical Environments.00.342016
Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation.00.342016
Modeling and Mapping Agroforestry Aboveground Biomass in the Brazilian Amazon Using Airborne Lidar Data30.702016
Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery.00.342016
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems.372.722016
Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data50.552016
Examining Urban Impervious Surface Distribution and Its Dynamic Change in Hangzhou Metropolis.00.342016
Image Segmentation Algorithms Comparison00.342015
Mapping Impervious Surface Distribution with Integration of SNNP VIIRS-DNB and MODIS NDVI Data60.632015
Wireless sensor networks for agriculture and forestry10.432015
Examining Land Use and Land Cover Spatiotemporal Change and Driving Forces in Beijing from 1978 to 201080.652014
Methods to extract impervious surface areas from satellite images.131.142014
The Spatial Variations of Urban Land Surface Temperatures: Pertinent Factors, Zoning Effect, and Seasonal Variability61.172008
A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States304.452008