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Applications of GNSS Reflectometry for Earth Observation

Edited by
October 2021
496 pages
  • ISBN978-3-0365-2066-7 (Hardback)
  • ISBN978-3-0365-2065-0 (PDF)
https://0-doi-org.brum.beds.ac.uk/10.3390/books978-3-0365-2065-0
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This book is a reprint of the Special Issue Applications of GNSS Reflectometry for Earth Observation that was published in

Engineering
Environmental & Earth Sciences
Summary

Global Navigation Satellite System–Reflectometry (GNSS–R) has proven an effective and very valuable technique that has helped the scientific community to better understand Earth processes. Measuring the forward scattering that occurs when the Global Positioning System (GPS) signals reflect off the surface of the Earth has enabled multiple studies of the ocean, the cryosphere, and the land geophysical phenomena, allowing a better characterization and increasing the global knowledge of our planet. This book brings together a variety of the most up-to-date research on the GNSS–R field, covering multiple and very innovative applications.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
GNSS reflectometry; delay Doppler map; target detection; GNSS-R; CyGNSS; SMAP; topography; digital elevation model; elevation angle; soil moisture content; topographic wetness index; bistatic scattering; GNSS-R; terrestrial hydrology; soil moisture; biomass; remote sensing; GNSS Reflectometry; Mesoscale ocean eddies; Bistatic Radar Cross Section; CYGNSS; GNSS-R; SMAP-R; VWC; vegetation opacity; crop type; crop height; soil moisture; crop health; crop productivity; agriculture; artificial neural networks; random forest; SVM; CYGNSS; soil moisture retrieval; ISMN; machine learning; GNSS-R; sea; coherent scattering; incoherent scattering; land processes; calibration; GNSS; GPS; reflectometry; bistatic radar; CYGNSS; soil moisture; GNSS-R; CYGNSS; GNSS-R; waveform; GPS; Galileo; sea; swell; waves; GNSS-R; reflectivity; surface roughness; vegetation; soil moisture; GNSS; vegetation; opacity; albedo; depolarization; propagation; positioning; GNSS-R; TRITON; wind speed; BPSK; BOC; CYGNSS; quality control; Neural Network; outlier detection; wind retrieval; GNSS-R; CYGNSS; HAND; flood inundation mapping; Sentinel-1A SAR; GNSS-reflectometry; random forest; CYGNSS; soil moisture retrieval; ISMN; SMAP; GPS; GNSS; reflectometry; GNSS-R; SNR; water level; ionosphere; scintillation; GNSS-R; equatorial plasma depletions; bubbles; CYGNSS; swarm; GNSS-R; spatial resolution; diffraction; experiment; airborne; L1; L5; CYGNSS; ASCAT; ISS LIS; GLM; WWLLN; winds; precipitation; lightning; convection; GNSS-R; sea-ice; arctic; snow; GNSS-R; dual-band; airborne; soil moisture; surface roughness; vegetation; remote sensing; GPS receiver; GNSS reflectometry; DDM; Triton; GNSS-R; topography; data compression; on-board data processing; GNSS-R; CYGNSS; SMAP; dielectric constant; soil moisture