@article{fdi:010067616,
  title = {{GLORI} : a {GNSS}-{R} dual polarization airborne instrument for land surface monitoring},
  author = {{M}otte, {E}. and {Z}ribi, {M}. and {F}anise, {P}ascal and {E}gido, {A}. and {D}arrozes, {J}. and {A}l-{Y}aari, {A}. and {B}aghdadi, {N}. and {B}aup, {F}. and {D}ayau, {S}. and {F}ieuzal, {R}. and {F}rison, {P}. {L}. and {G}uyon, {D}. and {W}igneron, {J}. {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobal {N}avigation {S}atellite {S}ystem-{R}eflectometry ({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. {I}n the present paper, we describe a new polarimetric {GNSS}-{R} system, referred to as the {GLO}bal navigation satellite system {R}eflectometry {I}nstrument ({GLORI}), dedicated to the study of land surfaces (soil moisture, vegetation water content, forest biomass) and inland water bodies. {T}his system was installed as a permanent payload on a {F}rench {ATR}42 research aircraft, from which simultaneous measurements can be carried out using other instruments, when required. {F}ollowing initial laboratory qualifications, two airborne campaigns involving nine flights were performed in 2014 and 2015 in the {S}outhwest of {F}rance, over various types of land cover, including agricultural fields and forests. {S}ome of these flights were made concurrently with in situ ground truth campaigns. {V}arious preliminary applications for the characterisation of agricultural and forest areas are presented. {I}nitial analysis of the data shows that the performance of the {GLORI} instrument is well within specifications, with a cross-polarization isolation better than -15 d{B} at all elevations above 45 degrees, a relative polarimetric calibration accuracy better than 0.5 d{B}, and an apparent reflectivity sensitivity better than -30 d{B}, thus demonstrating its strong potential for the retrieval of land surface characteristics.},
  keywords = {soil moisture ; vegetation ; biomass ; airborne ; microwave ; {L}-{B}and ; {GPS} ; reflectometry ; multistatic radar ; {GNSS}-{R} ; {FRANCE}},
  booktitle = {},
  journal = {{S}ensors},
  volume = {16},
  numero = {5},
  pages = {art. 732 (21 p.]},
  ISSN = {1424-8220},
  year = {2016},
  DOI = {10.3390/s16050732},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067616},
}