干旱区生态环境知识资源中心(Arid): Desert Roughness Retrieval Using CYGNSS GNSS-R Data

Arid

DOI	10.3390/rs12040743
	Desert Roughness Retrieval Using CYGNSS GNSS-R Data
	Stilla, Donato 1,2; Zribi, Mehrez 1; Pierdicca, Nazzareno 2; Baghdadi, Nicolas 3; Huc, Mireille 1
通讯作者	Zribi, Mehrez
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:4
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 (Gamma). 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 Gamma measurements has been developed, at the relatively fine resolution of 0.03 degrees x 0.03 degrees, 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 coefficient are compared and found to be strongly correlated. An aerodynamic roughness (Z(0)) map of the Sahara is proposed, using four distinct classes of terrain roughness.
英文关键词	CYGNSS GNSS-R ALOS-2 roughness aerodynamic roughness desert
类型	Article
语种	英语
国家	France ; Italy
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000519564600154
WOS关键词	SOIL-MOISTURE ; REFLECTED SIGNALS ; BISTATIC RADAR ; SURFACE ; LAND ; REFLECTOMETRY ; OCEAN ; BARE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315432
作者单位	1.CNRS UPS IRD CNES INRAE, CESBIO, 18 Ae. Edouard Belin,Bpi 2801, F-31401 Toulouse 9, France; 2.Univ Roma La Sapienza, Dept Informat Engn Elect Telecommun, Via Eudossiana 18, I-00184 Rome, Italy; 3.Univ Montpellier, INRAE, TETIS, F-34093 Montpellier 5, France
推荐引用方式 GB/T 7714	Stilla, Donato,Zribi, Mehrez,Pierdicca, Nazzareno,et al. Desert Roughness Retrieval Using CYGNSS GNSS-R Data[J]. French National Research Institute for Sustainable Development,2020,12(4).
APA	Stilla, Donato,Zribi, Mehrez,Pierdicca, Nazzareno,Baghdadi, Nicolas,&Huc, Mireille.(2020).Desert Roughness Retrieval Using CYGNSS GNSS-R Data.REMOTE SENSING,12(4).
MLA	Stilla, Donato,et al."Desert Roughness Retrieval Using CYGNSS GNSS-R Data".REMOTE SENSING 12.4(2020).