NASA's Airborne Topographic Mapper (ATM) ground calibration data for the Arctic Spring campaign 2019

The Airborne Topographic Mapper (ATM) was a scanning lidar developed and used by NASA for observing the Earth’s topography for several scientific applications, foremost of which was the measurement of changing Arctic and Antarctic ice sheets, glaciers and sea ice. ATM measured topography to an accuracy of better than 5 centimeters by incorporating measurements from GPS (global positioning system) receivers and inertial navigation system (INS) attitude sensors. This particular data set was used in a publication by Studinger <em>et al.</em>, 2022 (https://doi.org/10.5194/tc-16-3649-2022) that developed methods for estimating water depths of supraglacial lakes on the Greenland Ice Sheet. In pressurized aircraft the transmitted laser pulse travels thru the aircraft’s optical window close to the scan mirror. The optical delay fiber that is necessary to separate the transmit pulse and window reflection as well as other system components introduce a laser time-of-flight range bias that needs to be determined from ground calibration measurements. This data set includes ATM waveform data from the T6 and T7 lidars, as well as the true ranges and a MATLAB® function to read ground test waveform data. <strong><strong>See also:</strong> </strong> NASA's Airborne Topographic Mapper (ATM) ground calibration data for waveform data products: https://doi.org/10.5281/zenodo.7225936 User guide for NASA's Airborne Topographic Mapper HDF5 Waveform Data: Products: https://doi.org/10.5281/zenodo.7246097 Collection of MATLAB® functions for working with ATM (Airborne Topographic Mapper, laser altimetry data products in HDF5 waveform format: https://github.com/mstudinger/ATM-waveform-tools Airborne Topographic Mapper (ATM) Bathymetry Toolkit (MATLAB® functions): https://doi.org/10.5281/zenodo.6341229机载地形测绘仪（Airborne Topographic Mapper，以下简称ATM）是由美国国家航空航天局（National Aeronautics and Space Administration，以下简称NASA）研发并使用的扫描式激光雷达，可用于开展多项科学应用场景下的地球地形观测，其核心应用为监测北极与南极冰盖、冰川及海冰的变化。ATM通过整合全球定位系统（Global Positioning System，以下简称GPS）接收机与惯性导航系统（Inertial Navigation System，以下简称INS）姿态传感器的测量数据，可实现精度优于5厘米的地形测量。 本数据集曾被Studinger等人2022年发表的研究（https://doi.org/10.5194/tc-16-3649-2022）使用，该研究开发了格陵兰冰盖冰面湖水深的估算方法。在增压航空器中，发射的激光脉冲会在靠近扫描镜处穿过航空器的光学窗口。用于分离发射脉冲与窗口反射信号的光学延迟光纤，以及其他系统组件，会引入激光飞行时间测距偏差，该偏差需通过地面校准测量来确定。 本数据集包含来自T6与T7型激光雷达的ATM波形数据，以及真实测距值与用于读取地面测试波形数据的MATLAB®函数。 另请参阅： 美国国家航空航天局（NASA）机载地形测绘仪（ATM）波形数据产品地面校准数据集：https://doi.org/10.5281/zenodo.7225936 美国国家航空航天局（NASA）机载地形测绘仪HDF5格式波形数据产品用户指南：https://doi.org/10.5281/zenodo.7246097 用于处理ATM（机载地形测绘仪）HDF5格式波形激光测高数据产品的MATLAB®函数集：https://github.com/mstudinger/ATM-waveform-tools 机载地形测绘仪（ATM）测深工具包（MATLAB®函数）：https://doi.org/10.5281/zenodo.6341229