DOI: 10.3390/rs12040743
论文题名: Desert roughness retrieval using CYGNSS GNSS-R data
作者: Stilla D. ; Zribi M. ; Pierdicca N. ; Baghdadi N. ; Huc M.
刊名: Remote Sensing
ISSN: 20724292
出版年: 2020
卷: 12, 期: 4 语种: 英语
英文关键词: Aerodynamic roughness
; ALOS-2
; CYGNSS
; Desert
; GNSS-R
; Roughness
Scopus关键词: Aerodynamics
; Communication satellites
; Landforms
; Navigation
; Reflection
; Salinity measurement
; Satellites
; Space-based radar
; Storms
; Surface measurement
; Surface roughness
; Synthetic aperture radar
; Aerodynamic roughness
; ALOS-2
; CYGNSS
; Desert
; GNSS-R
; Global positioning system
英文摘要: The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYGNSS) constellation to characterize desert surface roughness. The study is applied over the Sahara, the largest non-polar desert in the world. This is based on a spatio-temporal analysis of variations in Cyclone Global Navigation Satellite System (CYGNSS) data, expressed as changes in reflectivity (G). In general, the reflectivity of each type of land surface (reliefs, dunes, etc.) encountered at the studied site is found to have a high temporal stability. A grid of CYGNSS G measurements has been developed, at the relatively fine resolution of 0.03° x 0.03°, and the resulting map of average reflectivity, computed over a 2.5-year period, illustrates the potential of CYGNSS data for the characterization of the main types of desert land surface (dunes, reliefs, etc.). A discussion of the relationship between aerodynamic or geometric roughness and CYGNSS reflectivity is proposed. A high correlation is observed between these roughness parameters and reflectivity. The behaviors of the GNSS-R reflectivity and the Advanced Land Observing Satellite-2 (ALOS-2) Synthetic Aperture Radar (SAR) backscattering coeffcient are compared and found to be strongly correlated. An aerodynamic roughness (Z0) map of the Sahara is proposed, using four distinct classes of terrain roughness. © 2020 by the author. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159670
Appears in Collections: 气候变化与战略
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作者单位: CESBIO, (CNRS/UPS/IRD/CNES/INRAE), 18 av. Edouard Belin, bpi 2801, 31401, Toulouse CEDEX 9, France; Department of Information Engineering, Electronics, Telecommunications, University of La Sapienza, Via Eudossiana 18, Rome, 00184, Italy; INRAE, TETIS, University of Montpellier, Montpellier, 34093, CEDEX 5, France
Recommended Citation:
Stilla D.,Zribi M.,Pierdicca N.,et al. Desert roughness retrieval using CYGNSS GNSS-R data[J]. Remote Sensing,2020-01-01,12(4)