Wenjian Ni
Orcid: 0000-0003-1611-4582
According to our database1,
Wenjian Ni
authored at least 45 papers
between 2007 and 2024.
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Bibliography
2024
Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite.
Geo spatial Inf. Sci., May, 2024
An Optimization Method for GEDI Ground Determination in Dense Tropical Forests with Potential Penetration Limitations.
Proceedings of the IGARSS 2024, 2024
Model Based Analysis for the Extraction of Forest Stand Information Based on Texture of High-Resolution Optical Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024
2020
Regional Forest Mapping over Mountainous Areas in Northeast China Using Newly Identified Critical Temporal Features of Sentinel-1 Backscattering.
Remote. Sens., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Estimation of Forest Leaf Area Index Using Height and Canopy Cover Information Extracted From Unmanned Aerial Vehicle Stereo Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Modeling the Stereoscopic Features of Mountainous Forest Landscapes for the Extraction of Forest Heights from Stereo Imagery.
Remote. Sens., 2019
Synthesis of Leaf-on and Leaf-off Unmanned Aerial Vehicle (UAV) Stereo Imagery for the Inventory of Aboveground Biomass of Deciduous Forests.
Remote. Sens., 2019
LandRS: a Virtual Constellation Simulator for InSAR, LiDAR Waveform and Stereo Imagery Over Mountainous Forest Landscapes.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The Potential of Forest Biomass Inversion Based on Canopy-Independent Structure Metrics Tested by Airborne LiDAR Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Modeling Interferometric SAR Features of Forest Canopies Over Mountainous Area at Landscape Scales.
IEEE Trans. Geosci. Remote. Sens., 2018
Mapping Three-Dimensional Structures of Forest Canopy Using UAV Stereo Imagery: Evaluating Impacts of Forward Overlaps and Image Resolutions With LiDAR Data as Reference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Integrated Analyses of PALSAR and Landsat Imagery Reveal More Agroforests in a Typical Agricultural Production Region, North China Plain.
Remote. Sens., 2018
2017
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Estimation of Forest Aboveground Biomass in Changbai Mountain Region Using ICESat/GLAS and Landsat/TM Data.
Remote. Sens., 2017
2016
Retrieval of forest aboveground biomass through the synergy of X-band (TeraSAR-X/TandDEM-X) and L-band (PALSAR-2) InSAR data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Modeling radar backscattering of complex terrain at the landscape scale for retrieving forest structure parameters.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass.
Remote. Sens., 2015
National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China.
Remote. Sens., 2015
Characterization of ASTER GDEM elevation data over vegetated area compared with lidar data.
Int. J. Digit. Earth, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Model-Based Analysis of the Influence of Forest Structures on the Scattering Phase Center at L-Band.
IEEE Trans. Geosci. Remote. Sens., 2014
The Penetration Depth Derived from the Synthesis of ALOS/PALSAR InSAR Data and ASTER GDEM for the Mapping of Forest Biomass.
Remote. Sens., 2014
A Heuristic Approach to Reduce Atmospheric Effects in InSAR Data for the Derivation of Digital Terrain Models or for the Characterization of Forest Vertical Structure.
IEEE Geosci. Remote. Sens. Lett., 2014
Co-Registration of Two DEMs: Impacts on Forest Height Estimation From SRTM and NED at Mountainous Areas.
IEEE Geosci. Remote. Sens. Lett., 2014
Forest parameters estimation from SAR and Landsat data using look-up table inversion.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
The characterization of digital surface model from stereo imagery over vegetated areas.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Sensitivity of multi-source SAR backscatter to changes of forest aboveground biomass.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Evaluation of different methods for forest regional biomass mapping from UAVSAR data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
Simulation studies on data fusion algorithms for forest structure from lidar and SAR data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Forest biomass estimation in northeastern China using ALOS PALSAR data combined radiative transfer model.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Analysis of the Effect of Crown Structure Changes on Backscattering Coefficient using Modeling and SAR Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
The Potential of Combined Lidar and SAR Data in Retrieving Forest Parameters using Model Analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007