Spatial Height Prediction of ICESat-2 Data using Random Forest Regression

The Earth's surface is a complex landscape that is essential for a wide range of applications, from urban planning to environmental monitoring. Digital models of the Earth's surface are generated through mathematical calculations using elevation data collected from various sources and the Digital Terrain Model (DTM) which captures the bare earth...

Estimating building height from ICESat-2 data: the case of the Netherlands

Building height information has been more used in a variety of industries in recent years. This information can be used in sustainable urban planning, urban climate research, population estimation, and three-dimensional (3D) building reconstruction, etc. Nowadays, building height information is obtained mostly by photogrammetry, high-resolution...

Land Type Classification of ICESat-2 Global Geolocated Photon Data

NASA's ICE, Cloud and Land Elevation Satellite-2 (ICESat-2) has been measuring the topography of the Earth's surface since its launch in September 2018. Equipped with a single instrument, namely, the Advanced Topographic Laser Altimeter System (ATLAS), ICESat-2 is able to acquire the along track vertical profiles of its laser footprints. While...