Displaying Items 1 - 18 of 18
2024
- (2024). ICESat-2 and ocean particulates: A roadmap for calculating Kd from space-based lidar photon profiles. Remote Sensing of Environment, 311, https://doi.org/10.1016/j.rse.2024.114222.
- (2024). Urban building height extraction accommodating various terrain scenes using ICESat-2/ATLAS data. International Journal of Applied Earth Observation and Geoinformation, 130, https://doi.org/10.1016/j.jag.2024.103870.
- (2024). A novel bathymetric signal extraction method for photon-counting LiDAR data based on adaptive rotating ellipse and curve iterative fitting. International Journal of Applied Earth Observation and Geoinformation, 132, https://doi.org/10.1016/j.jag.2024.104042.
2023
- (2023). Denoising classification of urban ICESat-2 photon data fused with Sentinel-2 spectral images. International Journal of Digital Earth, 16 (2), https://doi.org/10.1080/17538947.2023.2270513.
- (2023). Cost-efficient bathymetric mapping method based on massive active–passive remote sensing data. ISPRS Journal of Photogrammetry Remote Sensing, 203, https://doi.org/10.1016/j.isprsjprs.2023.07.028.
- (2023). A New Denoising Method for Photon-Counting LiDAR Data with Different Surface Types Observation Conditions. International Journal of Digital Earth, 16 (1), https://doi.org/10.1080/17538947.2023.2203952.
- (2023). A Photon Cloud Filtering Method in Forested Areas Considering the Density Difference Between Canopy Photons Ground Photons. IEEE Transactions on Geoscience Remote Sensing, 61, https://doi.org/10.1109/TGRS.2023.3267823.
- (2023). A methodological framework for specular return removal from photon-counting LiDAR data. International Journal of Applied Earth Observation Geoinformation, 122, https://doi.org/10.1016/j.jag.2023.103387.
- (2023). Effect of leaf-on leaf-off canopy conditions on forest height retrieval modelling with ICESat-2 data. International Journal of Digital Earth, 16 (2), https://doi.org/10.1080/17538947.2023.2285807.
2022
- (2022). Retrieving Low Sparse Vegetation Heights in Desert Ecosystems Using ICESat-2 ATL03 Photon-Counting LiDAR Data. IEEE Geoscience Remote Sensing Letters, 19, https://doi.org/10.1109/LGRS.2022.3194877.
- (2022). Accelerated Glacier Mass Loss over Svalbard Derived from ICESat-2 in 2019–2021. Atmosphere, 13 (8), https://doi.org/10.3390/atmos13081255.
- (2022). Vegetation land classification method based on the background noise rate of a photon-counting LiDAR. Optics Express, 30 (9), https://doi.org/10.1364/OE.456447.
- (2022). Consistency analysis of forest height retrievals between GEDI ICESat-2. Remote Sensing of Environment, 281, https://doi.org/10.1016/j.rse.2022.113244.
2021
- (2021). Retrieving building height in urban areas using ICESat-2 photon-counting LiDAR data. International Journal of Applied Earth Observation and Geoinformation, 104, https://doi.org/10.1016/j.jag.2021.102596.
- (2021). An Elliptical Distance Based Photon Point Cloud Filtering Method in Forest Area. IEEE Geoscience and Remote Sensing Letters, https://doi.org/10.1109/LGRS.2021.3124612.
2020
- (2020). A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data. IEEE Geoscience and Remote Sensing Letters, https://doi.org/10.1109/LGRS.2020.3003191.
- (2020). Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA. Ecological Indicators, 114, https://doi.org/10.1016/j.ecolind.2020.106287.
2019
- (2019). Ground elevation accuracy verification of ICESat-2 data: a case study in Alaska, USA. Optics Express, 27 (Is 26), https://doi.org/10.1364/OE.27.038168.