HYPERNETS Land Network: HYPSTAR®-XR Deployment and Validation in Namibia, Africa

• Published in: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium pp. 4625 - 4627
• Main Authors: Sinclair, Morven, Bialek, Agnieszka, Vis, Pieter De, Bouvet, Marc
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.07.2023
• Subjects: hyperspectral; instrumentation; Instruments; Measurement uncertainty; Prototypes; radiometric; Radiometry; reflectance calibration/validation; Reflectivity; Time measurement; Uncertainty
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS52108.2023.10282079

Traceable surface-based radiometric data for use in vicarious calibration and validation of satellites is necessary to continually check the performance of sensors through their mission lifetimes. RadCalNet is an established network providing traceable bottom-of-atmosphere (BOA) and top-of-atmosphere (TOA) reflectance data for the land calibration and validation community. A new prototype hyperspectral sensor, the HYperspectral Pointable System for Terrestrial and Aquatic Radiometry-Extended Range (HYPSTAR®-XR), has recently been installed in the vicinity of one of the established RadCalNet sites in Gobabeb, Namibia (GONA), providing hyperspectral surface reflectance data, alongside the incumbent band sensors, and allowing comparison of the instrument products. BOA data from both instruments has been compared over a six-month period and displays initial difference to within 5% in the visible and near infrared (VNIR), as well as 1%-2.5% agreement in the short-wave infrared (SWIR). These results are promising and prove that the measurements from GONA and the new instrument agree within their associated combined uncertainties.