Li Wang

Orcid: 0000-0002-2929-4255

Affiliations:
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China
  • Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China (PhD 2008)


According to our database1, Li Wang authored at least 37 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Individual-Tree Segmentation from UAV-LiDAR Data Using a Region-Growing Segmentation and Supervoxel-Weighted Fuzzy Clustering Approach.
Remote. Sens., February, 2024

Estimating Global Soil Heterotrophic Respiration Based on Environmentally Similar Zones and Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Prediction of soil organic carbon in black soil based on a synergistic scheme from hyperspectral data: Combining fractional-order derivatives and three-dimensional spectral indices.
Comput. Electron. Agric., 2024

2023
Analysis of Vegetation Cover Change in the Geomorphic Zoning of the Han River Basin Based on Sustainable Development.
Remote. Sens., October, 2023

Methane Emissions in Boreal Forest Fire Regions: Assessment of Five Biomass-Burning Emission Inventories Based on Carbon Sensing Satellites.
Remote. Sens., September, 2023

Estimation and Development-Potential Analysis of Regional Housing in Ningbo City Based on High-Resolution Stereo Remote Sensing.
Remote. Sens., August, 2023

Land Surface Greening and CO2 Fertilization More than Offset the Gross Carbon Sequestration Decline Caused by Land Cover Change and the Enhanced Vapour Pressure Deficit in Europe.
Remote. Sens., March, 2023

Improved Estimation of the Gross Primary Production of Europe by Considering the Spatial and Temporal Changes in Photosynthetic Capacity from 2001 to 2016.
Remote. Sens., March, 2023

Modification of Statistical Metric Biases in Large-Region and Long-Time-Series Landsat Dataset Due to Insufficient Observations.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction.
Remote. Sens., 2022

Evaluating the Accuracy and Spatial Agreement of Five Global Land Cover Datasets in the Ecologically Vulnerable South China Karst.
Remote. Sens., 2022

Vegetation recovery and recent degradation in different karst landforms of southwest China over the past two decades using GEE satellite archives.
Ecol. Informatics, 2022

2021
Estimating the Net Ecosystem Exchange at Global FLUXNET Sites Using a Random Forest Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Mapping spatio-temporal patterns in global tree cover heterogeneity: Links with forest degradation and recovery.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China.
Remote. Sens., 2020

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016.
Remote. Sens., 2019

Learning image convolutional representations and complete tags jointly.
Neural Comput. Appl., 2019

SAR Target Recognition via Joint Sparse Representation of Monogenic Components With 2D Canonical Correlation Analysis.
IEEE Access, 2019

Exploring the Response Mechanism of Remote Sensing Images in Monitoring Fixed Assets Investment Project in Terms of Building Detection.
IEEE Access, 2019

2018
Mapping Early, Middle and Late Rice Extent Using Sentinel-1A and Landsat-8 Data in the Poyang Lake Plain, China.
Sensors, 2018

Analysis of Landsat-8 OLI Imagery for Estimating Exposed Bedrock Fractions in Typical Karst Regions of Southwest China Using a Karst Bare-Rock Index.
Remote. Sens., 2018

Cross-model convolutional neural network for multiple modality data representation.
Neural Comput. Appl., 2018

2017
The energy emission computing of land consolidation from the dual perspectives clustering method.
Clust. Comput., 2017

Spatial-temporal allocation of regional land consolidation project based on landscape pattern and system dynamics.
Clust. Comput., 2017

Trend analysis of variations in carbon stock using stock big data.
Clust. Comput., 2017

Upscaling plot-scale soil respiration in winter wheat and summer maize rotation croplands in Julu County, North China.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2016
Classification of Small-Scale Eucalyptus Plantations Based on NDVI Time Series Obtained from Multiple High-Resolution Datasets.
Remote. Sens., 2016

Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China.
ISPRS Int. J. Geo Inf., 2016

Cross-model convolutional neural network for multiple modality data representation.
CoRR, 2016

Application of HJ-1 CCD data to analyze the growing-season variations of soil respiration in two irrigated cropland ecosystems.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Using historical NDVI time series to classify crops at 30m spatial resolution: A case in Southeast Kansas.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA.
Remote. Sens., 2015

Design of a New Multispectral Waveform LiDAR Instrument to Monitor Vegetation.
IEEE Geosci. Remote. Sens. Lett., 2015

2014
The Potential of Time Series Merged from Landsat-5 TM and HJ-1 CCD for Crop Classification: A Case Study for Bole and Manas Counties in Xinjiang, China.
Remote. Sens., 2014

2012
Urban Wetland Change Detection Using Time-Series Remote Sensing Data.
Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012

An automatic and effective approach in identifying tower cranes.
Proceedings of the Fourth International Conference on Digital Image Processing, 2012


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