Wang Li
Affiliations:- Chinese Academy of Sciences, Aerospace Information Research Institute, State Key Laboratory of Remote Sensing Science, Beijing, China
- Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (former)
- University of Chinese Academy of Sciences, Beijing, China (PhD 2015)
According to our database1,
Wang Li
authored at least 18 papers
between 2015 and 2023.
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Bibliography
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
Remote. Sens., 2022
Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data.
ISPRS Int. J. Geo Inf., 2022
2021
Mapping spatio-temporal patterns in global tree cover heterogeneity: Links with forest degradation and recovery.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Radiometric Calibration for Incidence Angle, Range and Sub-Footprint Effects on Hyperspectral LiDAR Backscatter Intensity.
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
2018
Estimation of LAI in Winter Wheat from Multi-Angular Hyperspectral VNIR Data: Effects of View Angles and Plant Architecture.
Remote. Sens., 2018
Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach.
Inf. Fusion, 2018
2017
Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping.
Remote. Sens., 2017
Dynamic Monitoring of the Largest Freshwater Lake in China Using a New Water Index Derived from High Spatiotemporal Resolution Sentinel-1A Data.
Remote. Sens., 2017
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas.
Comput. Electron. Agric., 2017
2016
Individual Tree Delineation in Windbreaks Using Airborne-Laser-Scanning Data and Unmanned Aerial Vehicle Stereo Images.
IEEE Geosci. Remote. Sens. Lett., 2016
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery.
Inf. Fusion, 2016
Extraction of the vertical distribution of biochemical parameters using hyperspectral LiDAR.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Combined Use of Airborne LiDAR and Satellite GF-1 Data to Estimate Leaf Area Index, Height, and Aboveground Biomass of Maize During Peak Growing Season.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring.
Remote. Sens., 2015
IEEE Geosci. Remote. Sens. Lett., 2015
Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling.
Int. J. Appl. Earth Obs. Geoinformation, 2015