干旱区生态环境知识资源中心(Arid): Soil moisture estimation from Sentinel-1 interferometric observations over arid regions

Arid

DOI	10.1016/j.cageo.2023.105410
	Soil moisture estimation from Sentinel-1 interferometric observations over arid regions
	Karamvasis, Kleanthis; Karathanassi, Vassilia
通讯作者	Karamvasis, K
来源期刊	COMPUTERS & GEOSCIENCES
ISSN	0098-3004
EISSN	1873-7803
出版年	2023
卷号	178
英文摘要	We present an experimental methodology based on interferometric synthetic aperture radar (InSAR) time series analysis that can provide surface (top 5 cm) soil moisture (SSM) estimations over sandy arid soils. A co-registered Single Look Complex (SLC) SAR stack as well as meteorological information are required as input of the proposed methodological workflow. The proposed methodology consists of five steps. In the first step, meteorological data are exploited to identify the snow/ice free SAR acquisition related to lowest SSM level. In the second step, interferometric (coherence and phase closure) observables over a spatial grid are calculated. In the third step, for each grid cell the ordering of SAR acquisitions according to the SSM is performed. The sorting is performed by starting from the SAR acquisition related to lowest SSM level and by exploiting coherence and backscattering information. In the fourth step, for each grid cell the coherence values due to SSM variations are calculated by exploiting the ordering of SAR acquisitions according to the SSM. In the fifth step, SSM is estimated by inverting an analytical interferometric model using coherence values due to SSM variations and phase closure information. The proposed method estimates SSM over arid regions by ordering SAR acquisitions based on SSM, by calculating coherence values due to SSM variations and by inverting an interferometric model. A case study over an arid region in California/Arizona is presented. The proposed workflow was applied in Sentinel-1 (C-band) VV-polarized InSAR observations. The estimated SSM results were assessed with independent SSM observations from a station of the International Soil Moisture Network (ISMN) (RMSE: 0.029 m(3)/m(3) R: 0.78) and with ERA5-Land reanalysis model data (RMSE: 0.049 m(3)/m(3) R: 0.62). In summary, the proposed methodology was able to provide accurate SSM estimations at high spatial resolution (similar to 250 m). A discussion of the benefits and the limitations of the proposed methodology highlighted the potential of interferometric observables for SSM estimation over arid regions.
英文关键词	InSAR Time series analysis Distributed scatterers Surface soil moisture: arid environments: Sentinel-1
类型	Article
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:001040077400001
WOS关键词	RADAR INTERFEROMETRY ; NETWORK ; DECORRELATION
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395812
推荐引用方式 GB/T 7714	Karamvasis, Kleanthis,Karathanassi, Vassilia. Soil moisture estimation from Sentinel-1 interferometric observations over arid regions[J],2023,178.
APA	Karamvasis, Kleanthis,&Karathanassi, Vassilia.(2023).Soil moisture estimation from Sentinel-1 interferometric observations over arid regions.COMPUTERS & GEOSCIENCES,178.
MLA	Karamvasis, Kleanthis,et al."Soil moisture estimation from Sentinel-1 interferometric observations over arid regions".COMPUTERS & GEOSCIENCES 178(2023).