Displaying Items 1 - 18 of 18
2024
- (2024). Examining CNN terrain model for TanDEM-X DEMs using ICESat-2 data in Southeastern United States. Remote Sensing of Environment, 311, https://doi.org/10.1016/j.rse.2024.114293.
- (2024). Monitoring Earth’s climate variables with satellite laser altimetry. Nature Reviews Earth Environment, https://doi.org/10.1038/s43017-023-00508-8.
2023
- (2023). A Systematic Evaluation of Multi-Resolution ICESat-2 ATL08 Terrain Canopy Heights in Boreal Forests. Remote Sensing of Environment, 291, https://doi.org/10.1016/j.rse.2023.113570.
- (2023). Can ICESat-2 Estimate Stand-Level Plant Structural Traits? Validation of an ICESat-2 Simulator. Science of Remote Sensing, 7, https://doi.org/10.1016/j.srs.2023.100086.
2022
- (2022). Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, topographic information in Mediterranean forests. GIScience & Remote Sensing, 59 (1), https://doi.org/10.1080/15481603.2022.2115599.
- (2022). Assessing amazon rainforest regrowth with GEDI ICESat-2 data. Science of Remote Sensing, https://doi.org/10.1016/j.srs.2022.100051.
- (2022). Radiometric Assessment of ICESat-2 over Vegetated Surfaces. Remote Sensing, 14 (3), https://doi.org/10.3390/rs14030787.
2021
- (2021). Digital terrain model elevation corrections using space-based imagery and ICESat-2 laser altimetry. Remote Sensing of Environment, 264, https://doi.org/10.1016/j.rse.2021.112621.
2020
- (2020). Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California. Remote Sensing of the Environment, 242 (1), https://doi.org/10.1016/j.rse.2020.111779.
- (2020). Validation of ICESat-2 terrain and canopy heights in boreal forests. Remote Sensing of Environment, 251, Article 112110. https://doi.org/10.1016/j.rse.2020.112110.
- (2020). Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping. Remote Sensing of the Environment, 253, https://doi.org/10.1016/j.rse.2020.112234.
2019
- (2019). High-Resolution Ocean Wave and Wind Characteristics Determined by the ICESat-2 Land Surface Algorithm. Geophysical Research Letters, 47 (1), https://doi.org/10.1029/2019GL085907.
- (2019). Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS's Bathymetric Mapping Performance. Remote Sensing, 2019 (11), 1634. https://doi.org/10.3390/rs11141634.
2018
- (2018). The ATL08 land and vegetation product for the ICESat-2 Mission. Remote Sensing of Environment, 221, 247-259. https://doi.org/10.1016/j.rse.2018.11.005.
- (2018). Photon counting LiDAR: an adaptive ground and canopy height retrieval algorithm for ICESat-2 data. Remote Sensing of the Environment, 208, 154-170. doi.org/10.1016/j.rse.2018.02.019.
2017
- (2017). The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation. Remote Sensing of Environment,, 190, 260-273. 10.1016/j.rse.2016.12.029.
2016
- (2016). Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass. Remote Sensing of Environment, 13, 1707–1719. doi.org/10.1016/j.rse.2016.02.039.
2014
- (2014). Applicability of an Automatic Surface Detection Approach to Micro-pulse Photon-counting Lidar Altimetry Data: Implications for Canopy Height Retrieval from Future ICESat-2 Data. Int J Remote Sens, 35, 5263-5279. 10.1080/01431161.2014.939780.