Transforming ICESat-2 research through collaboration and learning
Abstract: Writing code is a given for many modern students; research progress cannot happen without some form of data manipulation, and for those of us in the earth sciences, the data volumes may be large (>= terabyte) and may require specialized software to manipulate.
openaire +2 more sources
ICESat-2 Bathymetric Log10 Tomogram Data
Bathymetry data (measurements of the elevations of submerged surfaces like the seafloor and lake beds) are an important factor in many scientific, economic, and engineering disciplines.
Parrish, Christopher E. +1 more
core
Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data via deep learning. [PDF]
Ma Z +9 more
europepmc +1 more source
Explicit Features Versus Implicit Spatial Relations in Geomorphometry: A Comparative Analysis for DEM Error Correction in Complex Geomorphological Regions. [PDF]
Zhou S +5 more
europepmc +1 more source
Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods. [PDF]
Gaskins AJ, Xia J, Bueno IT, Silva CA.
europepmc +1 more source
Narrowing the gap for city building height predictions. [PDF]
Watson CS, Elliott JR.
europepmc +1 more source
Predicting mean depth and area fraction of Antarctic supraglacial melt lakes with physics-based parameterizations. [PDF]
Grau D, Hussain A, Robel AA.
europepmc +1 more source
Merging Remote Sensing Derived River Slope Datasets with High-Resolution Hydrofabrics for the United States. [PDF]
Chen Y +6 more
europepmc +1 more source
Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data. [PDF]
Zhou W +7 more
europepmc +1 more source
Spaceborne LiDAR Systems: Evolution, Capabilities, and Challenges. [PDF]
Bolcek J +5 more
europepmc +1 more source

