GLORI: a GNSS-R dual polarization airborne instrument for land surface monitoring
Langue
en
Article de revue
Ce document a été publié dans
Sensors. 2016, vol. 16, n° 732, p. 1-21
MDPI
Résumé en anglais
Global Navigation Satellite System-Reflectometry (GNSS-R) has emerged as a remote sensing tool, which is complementary to traditional monostatic radars, for the retrieval of geophysical parameters related to surface ...Lire la suite >
Global Navigation Satellite System-Reflectometry (GNSS-R) has emerged as a remote sensing tool, which is complementary to traditional monostatic radars, for the retrieval of geophysical parameters related to surface properties. In the present paper, we describe a new polarimetric GNSS-R system, referred to as the GLObal navigation satellite system Reflectometry Instrument (GLORI), dedicated to the study of land surfaces (soil moisture, vegetation water content, forest biomass) and inland water bodies. This system was installed as a permanent payload on a French ATR42 research aircraft, from which simultaneous measurements can be carried out using other instruments, when required. Following initial laboratory qualifications, two airborne campaigns involving nine flights were performed in 2014 and 2015 in the Southwest of France, over various types of land cover, including agricultural fields and forests. Some of these flights were made concurrently with in situ ground truth campaigns. Various preliminary applications for the characterisation of agricultural and forest areas are presented. Initial analysis of the data shows that the performance of the GLORI instrument is well within specifications, with a cross-polarization isolation better than 15 dB at all elevations above 45, a relative polarimetric calibration accuracy better than 0.5 dB, and an apparent reflectivity sensitivity better than 30 dB, thus demonstrating its strong potential for the retrieval of land surface characteristics.< Réduire
Mots clés
HUMIDITE DU SOL
BIOMASSE
TELEDETECTION
REFLECTOMETRIE
Mots clés en anglais
radar
reflectometry
biomass
vegetation
remote sensing
soil water content
Origine
Importé de halUnités de recherche