Research of influence of atmosphere and humidity on the data of radar imaging by Sentinel-1

Garkusha, I. M; Hnatushenko, Volodymyr; Vasyliev, Volodymyr V.

doi:10.1109/elnano.2017.7939787

Cited by 16 publications

(6 citation statements)

References 2 publications

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“…Hence, by (4.17) and (4.18), we finally obtain 19) so that, C rec ∈ BV (Ω; S M −1 ) is a solution of the minimization problem (3.11).…”

Section: Existence Resultsmentioning

confidence: 91%

“…In the vegetation case, instead of giving an indication on biophysical processes in the plant, the radar backscatter rather contains information on the structure and moisture content of vegetation and the underlying soil. Therefore, the fusion of SAR and optical images is very important for classification of land cover [42] and estimation of soil moisture to remove vegetation cover effects from radar backscattering coefficient [19,20,47]. At the same time, because of the distinct natures of SAR and optical images, there exist huge radiometric and geometric differences between optical and synthetic aperture of radar images.…”

Section: Introductionmentioning

confidence: 99%

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Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar

Kogut

Uvarov²

2020

JODEA

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“…Hence, by (4.17) and (4.18), we finally obtain 19) so that, C rec ∈ BV (Ω; S M −1 ) is a solution of the minimization problem (3.11).…”

Section: Existence Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar

Kogut

Uvarov²

2020

JODEA

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“…5 ). These centroids were interpolated by means of krigging normally used in GIS studies and applied to estimate soil moisture [36] , [37] , [38] , an interpolation system that proves valid when the sample is well distributed [39] , [40] , [41] ; this provided cartography of surface soil moisture and an initial classification of the hedgerow networks from SENTINEL-2 [42] , [43] , [44] , [45] . In this phase, slopes were calculated and incorporated as the determinant variable in the processes of abandonment or stability in the hedgerow networks ( Fig.…”

Section: Methods Detailsmentioning

confidence: 99%

Classification of Mediterranean hedgerows: A methodological approximation

et al. 2021

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Highlights Hedgerow network mapping in a continental Mediterranean mountain using GIS and Remote Sensing. Identify the different levels of surface soil moisture provided by images from the satellite Sentinel-2. Analyse of the evolution of hedgerow area from 1956 to the present time from aerial pictures and satellite images and their correlation with surface soil moisture and slope. A classification of hedgerow networks in the Mediterranean region (Central System, Spain).

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“…24 LightningMaps.org provides historical data of LSC and has been widely used in previous studies. 25,26 It is assumed that the Detection Efficiency of the sensors used by LightningMaps.org remained constant during the period considered in this study. The distribution of LSC data is presented in Tables 1 and 2.…”

Section: Data Descriptionmentioning

confidence: 99%

Lightning Behaviour during the COVID-19 Pandemic

et al. 2021

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Background COVID-19 has drastically dampened human activities since early 2020. Studies have shown that this has resulted in changes in air temperature and humidity. Since lightning activities are dependent on air temperature and humidity, this study is conducted to evaluate the correlation between the intensity of lightning activities with the atmospheric changes, and investigates the changes, in lightning activities due to atmospheric changes during the COVID-19 pandemic. Methods The hypothesis was tested through a t-test and Pearson’s correlation study. The variation trend of lightning strikes count (LSC) in Europe and Oceania during the five months COVID-19 lockdown period (March – July) compared to the same period in the previous five years from 2015 to 2019 is investigated. Results Statistical analysis shows the LSC in Europe and Oceania during the lockdown period dropped significantly by more than 50% and 44% respectively compared to the same period in previous five years. Furthermore, LSC was found to be positively correlated with air temperature and relative humidity in Europe. However, in Oceania, LSC seems to be only positively correlated with air temperature but negatively correlated with relative humidity. Conclusions This study seems to suggest that lightning activities have significantly changed during this pandemic due to reduction in human activities.

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Research of influence of atmosphere and humidity on the data of radar imaging by Sentinel-1

Cited by 16 publications

References 2 publications

Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar

Variational Approach for the Reconstruction of Damaged Optical Satellite Images Through Their Co-Registration with Synthetic Aperture Radar

Classification of Mediterranean hedgerows: A methodological approximation

Lightning Behaviour during the COVID-19 Pandemic

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