학술논문

Mapping snow-depth using KA-band InSAR: Calibration and validation during SnowEx
Document Type
Conference
Source
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International. :326-329 Jul, 2017
Subject
Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Power, Energy and Industry Applications
Signal Processing and Analysis
Snow
Laser radar
Vegetation
Remote sensing
Calibration
NASA
Atmospheric modeling
Interferometry
snow
lidar
Language
ISSN
2153-7003
Abstract
This paper discusses the evaluation of a state-of-the-art Ka-band (35.7GHz) single-pass interferometric synthetic aperture radar (InSAR) for snow-depth mapping during the NASA SnowEx experiment. The use of InSAR for this application presents a new approach and potential alternate technology to lidar with the advantage of wide-swath operation that is not hampered by cloud cover. We discuss the plans to leverage SnowEx for calibration, in particular characterizing potential biases due to interferometric penetration into the snow-cover by comparison with lidar and in situ measurements. In addition, lidar from the Airborne Snow Observatory will be used for validation of tree classifications and the derived digital surface models and snow-depth maps.