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  1. Book ; Online: BDS/GNSS for Earth Observation

    Jin, Shuanggen / Dardanelli, Gino

    2023  

    Keywords Research & information: general ; Geography ; plasmasphere ; PTEC ; GPS ; GCPM ; F10.7 index ; GPS meteorology ; weighted mean temperature ; precipitable water vapor ; radiosonde ; NRTK ; PPP ; static ; congruence ; GNSS ; CORS ; thin layer ionospheric height (TLIH) ; mapping function ; dG-TLIH technique ; global navigation satellite system (GNSS) ; height of maximum density of the F2 layer (hmF2) ; VRS ; tropospheric delay ; interpolation ; GNSS positioning ; GNSS meteorology ; MERRA-2 ; sliding window algorithm ; tropospheric parameters ; HY-2B ; precise orbit determination ; empirical accelerations model ; satellite laser ranging ; GPS antenna phase center ; single-receiver ambiguity resolution ; single receiver ambiguity resolution ; phase center variation (PCV) calibration ; GRACE-FO satellites ; GPS time-series analysis ; common mode error ; independent component analysis ; seasonal signals ; surface mass loading ; coherent integration time optimization model ; global navigation satellite systems reflectometry (GNSS-R) ; ocean altimetry precision ; waveform correlation ; signal optimization processing ; global navigation satellite system reflectometry (GNSS-R) ; Beidou navigation satellite system (BDS) ; Doppler compensation ; range resolution ; BeiDou Global Navigation Satellite System (BDS-3) ; Differential Code Biases (DCBs) ; multi-channel ; ionospheric correction ; earthquake energy ; total electron content ; global ionosphere maps ; seismo-ionospheric anomaly ; differential code bias (DCB) ; global navigation satellite systems (GNSS) ; multi-GNSS experiments (MGEX) ; total electron content (TEC) ; GNSS ionosphere ; GNSS-Reflectometry ; GeoHazards ; ground water storage ; surface mass load ; groundwater monitoring station ; remove-restore method ; BDS ; triple-frequency signals ; IFCB
    Language English
    Size 1 electronic resource (334 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030645672
    ISBN 9783036589978 ; 303658997X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Satellite Positioning : Methods, Models and Applications

    Jin, Shuanggen

    2015  

    Keywords Other technologies & applied sciences ; Astronautics
    Size 1 electronic resource (214 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021049184
    ISBN 9789535163725 ; 9535163728
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Geodetic Sciences : Observations, Modeling and Applications

    Jin, Shuanggen

    2013  

    Keywords Other technologies & applied sciences ; Space science
    Size 1 electronic resource (356 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021045086
    ISBN 9789535150404 ; 9535150405
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Global Navigation Satellite Systems : Signal, Theory and Applications

    Jin, Shuanggen

    2012  

    Keywords Other technologies & applied sciences ; Astronautics
    Size 1 electronic resource (440 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021049431
    ISBN 9789535160960 ; 9535160966
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article ; Online: Gravity-induced seismicity modulation on planetary bodies and their natural satellites.

    Senapati, Batakrushna / Kundu, Bhaskar / Jha, Birendra / Jin, Shuanggen

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 2311

    Abstract: Ground-based monitoring of seismicity and modulation by external forces in the field of planetary seismology remains equivocal due to the lack of natural observations. Constrained by the natural observations (including Earthquakes, Moonquakes, and ... ...

    Abstract Ground-based monitoring of seismicity and modulation by external forces in the field of planetary seismology remains equivocal due to the lack of natural observations. Constrained by the natural observations (including Earthquakes, Moonquakes, and Marsquakes) and theoretical models, we present the variation in gravitational acceleration "g" of different solar system objects, combined with external harmonic forcings that are responsible for seismicity modulation on the planetary bodies and their natural satellites. From the global diversity in seismicity modulation, it has been observed that the plate-boundary regions on the Earth exhibit both short and long-period seismicity modulation. In contrast, the stable plate interior regions appear to be more sensitive to long-period seismicity modulation, however, lacking in short-period modulation. The deep Moonquakes are susceptible for both the lunar tidal period (13.6 days and 27 days) and long-period pole wobble modulation (206 days), whereas shallow emergent type moonquakes show a seismic periodicity at the lunation period (29.5 days). Further, the seasonal variation with an annual seismicity burst and seismic periodicity at polar wobble periods for high-frequency Marsquakes captured by InSight lander indicate a natural origin. Whereas diurnal and semi-diurnal periodicity along with Phobos' tidal period, indicate possible artifacts due to different detection probabilities and non-seismic noise in the Martian environment. We argue that, in the context of rate-state-dependent fault friction, the gravity-induced resonance destabilization model appears to be better agreement with the contrast and relative diversity in seismicity modulation linked to the Earth, Moon, and Mars.
    Language English
    Publishing date 2024-01-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-52809-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Variation Characteristics of Multi-Channel Differential Code Biases from New BDS-3 Signal Observations

    Shi, Qiqi / Jin, Shuanggen

    Remote Sensing. 2022 Jan. 26, v. 14, no. 3

    2022  

    Abstract: A multi-frequency Global Navigation Satellite System (GNSS) provides greater opportunities for positioning and navigation applications, particularly the BeiDou Global Navigation Satellite System (BDS-3) satellites. However, multi-frequency signals import ...

    Abstract A multi-frequency Global Navigation Satellite System (GNSS) provides greater opportunities for positioning and navigation applications, particularly the BeiDou Global Navigation Satellite System (BDS-3) satellites. However, multi-frequency signals import more pseudorange channels, which introduce more multi-channel Differential Code Biases (DCBs). The satellite and receiver DCBs from the new BDS-3 signals are not clear. In this study, 9 DCB types of the new BDS-3 signals from 30-days Multi-GNSS Experiment (MGEX) observations are estimated and investigated. Compared with the DCB values provided by the Chinese Academy of Science (CAS) products, the mean bias and root mean squares (RMS) error of new BDS-3 satellite DCBs are within ±0.20 and 0.30 ns, respectively. The satellite DCBs are mostly within ±0.40 ns with respect to the product of the Deutsches Zentrum für Luft- und Raumfahrt (DLR). The four sets of constructed closure errors and their mean values are within ±0.30 ns and ±0.15 ns, respectively. The mean standard deviation (STD) of the estimated satellite DCBs is less than 0.10 ns. In particular, our estimated satellite DCBs are more stable than DCB products provided by CAS and DLR. Unlike satellite DCBs, the receiver DCBs have poor compliance and show an obvious relationship with the geographic latitude when compared to the CAS products. The STDs of our estimated receiver DCBs are less than 1.00 ns. According to different types of receiver DCBs, the distribution of STDs indicates that the coefficient of the ionospheric correction has an influence on the stability of the receiver DCBs under the ionosphere with the same accuracy level. In addition, the type of receiver shows no regular effects on the stability of receiver DCBs.
    Keywords compliance ; global positioning systems ; latitude ; satellites ; standard deviation
    Language English
    Dates of publication 2022-0126
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14030594
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Backscatter Characteristics Analysis for Flood Mapping Using Multi-Temporal Sentinel-1 Images

    Huang, Minmin / Jin, Shuanggen

    Remote Sensing. 2022 Aug. 08, v. 14, no. 15

    2022  

    Abstract: Change detection between images of pre-flood and flooding periods is a critical process for flood mapping using satellite images. Flood mapping from SAR images is based on backscattering coefficient differences. The change rules of the backscattering ... ...

    Abstract Change detection between images of pre-flood and flooding periods is a critical process for flood mapping using satellite images. Flood mapping from SAR images is based on backscattering coefficient differences. The change rules of the backscattering coefficient with different flooding depths of ground objects are essential prior knowledge for flood mapping, while their absence greatly limits the precision. Therefore, minimizing the backscattering coefficient differences caused by non-flood factors is of great significance for improving the accuracy of flood mapping. In this paper, non-flood factor influences, i.e., monthly variations of ground objects and polarization and satellite orbits, on the backscattering coefficient are studied with multi-temporal Sentinel-1 images for five ground objects in Kouzi Village, Shouguang City, Shandong Province, China. Sentinel-1 images in different rainfalls are used to study the variation of the backscattering coefficient with flooding depths. Since it is difficult to measure the flooding depth of historical rainfall events, a hydrological analysis based on the Geographic Information System (GIS) and Remote Sensing (RS) is used to estimate the flooding depth. The results showed that the monthly variations of the maximum backscattering coefficients of farmland and construction and the backscattering coefficient differences caused by the satellite orbit were larger than the minimum backscattering coefficient differences caused by inundation. The flood extraction rules of five objects based on Sentinel-1 were obtained and analyzed, which improved flood extraction knowledge from qualitative to semi-quantitative analysis.
    Keywords agricultural land ; geographic information systems ; rain ; satellites ; villages ; China
    Language English
    Dates of publication 2022-0808
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14153838
    Database NAL-Catalogue (AGRICOLA)

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  8. Article: Multi-Category Segmentation of Sentinel-2 Images Based on the Swin UNet Method

    Yao, Junyuan / Jin, Shuanggen

    Remote Sensing. 2022 July 14, v. 14, no. 14

    2022  

    Abstract: Medium-resolution remote sensing satellites have provided a large amount of long time series and full coverage data for Earth surface monitoring. However, the different objects may have similar spectral values and the same objects may have different ... ...

    Abstract Medium-resolution remote sensing satellites have provided a large amount of long time series and full coverage data for Earth surface monitoring. However, the different objects may have similar spectral values and the same objects may have different spectral values, which makes it difficult to improve the classification accuracy. Semantic segmentation of remote sensing images is greatly facilitated via deep learning methods. For medium-resolution remote sensing images, the convolutional neural network-based model does not achieve good results due to its limited field of perception. The fast-emerging vision transformer method with self-attentively capturing global features well provides a new solution for medium-resolution remote sensing image segmentation. In this paper, a new multi-class segmentation method is proposed for medium-resolution remote sensing images based on the improved Swin UNet model as a pure transformer model and a new pre-processing, and the image enhancement method and spectral selection module are designed to achieve better accuracy. Finally, 10-categories segmentation is conducted with 10-m resolution Sentinel-2 MSI (Multi-Spectral Imager) images, which is compared with other traditional convolutional neural network-based models (DeepLabV3+ and U-Net with different backbone networks, including VGG, ResNet50, MobileNet, and Xception) with the same sample data, and results show higher Mean Intersection Over Union (MIOU) (72.06%) and better accuracy (89.77%) performance. The vision transformer method has great potential for medium-resolution remote sensing image segmentation tasks.
    Keywords image analysis ; models ; time series analysis ; vision
    Language English
    Dates of publication 2022-0714
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2513863-7
    ISSN 2072-4292
    ISSN 2072-4292
    DOI 10.3390/rs14143382
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: An improved methodology for quantifying pixel-scale entrance pupil irradiance of a Moon-based Earth radiation observatory

    Duan, Wentao / Jin, Shuanggen

    International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) ISPRS journal of photogrammetry and remote sensing. 2022 Jan., v. 183

    2022  

    Abstract: The establishment of a Moon-based Earth Radiation Observatory (MERO) is expected to improve current Earth radiation budget observations. In terms of the MERO instrument design, the pixel-scale entrance pupil irradiance (EPI), which acts as the true input ...

    Abstract The establishment of a Moon-based Earth Radiation Observatory (MERO) is expected to improve current Earth radiation budget observations. In terms of the MERO instrument design, the pixel-scale entrance pupil irradiance (EPI), which acts as the true input radiation to the MERO detector unit, is essential to judge the detector optimization and systematic parameter adjustment. The primary motivation of this study is to improve the pixel-scale EPI quantification quality by proposing a modified methodology. Evaluations indicated that the new pixel ground field of view (GFOV) positioning method would bring accuracy improvements of 7.79% and 3.84% for pixel-scale shortwave (SW) EPI and longwave (LW) EPI quantifications respectively; while the accuracy enhancements result from the newly proposed Earth top of atmosphere (TOA) radiant anisotropy method in this study are about 20.67% and 12.15% for the pixel-scale SW EPI and LW EPI estimations respectively. Following this modified methodology, an 18.6-year pixel-scale EPI variability prediction was accomplished to facilitate the MERO instrument design coping with change in future decades. This prediction fully considers the influences from the MERO-Earth geometry evolution, Earth TOA radiant anisotropic factor temporal change, the Earth TOA flux temporal variation and MERO location change. Results showed that the SW EPI would vary from approximately 3.32 × 10⁻⁶ to 2.16 × 10⁻⁴ W/m² over the future 18.6-year period (March 2019 to November 2037); while the LW EPI would change between 4.43 × 10–⁶ and 4.91 × 10⁻⁴ W/m².
    Keywords anisotropy ; equipment design ; evolution ; geometry ; light intensity ; motivation ; photogrammetry ; prediction ; temporal variation ; terrestrial radiation
    Language English
    Dates of publication 2022-01
    Size p. 389-402.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1007774-1
    ISSN 0924-2716
    ISSN 0924-2716
    DOI 10.1016/j.isprsjprs.2021.11.019
    Database NAL-Catalogue (AGRICOLA)

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  10. Book ; Online: Estimation and evaluation of hourly MetOp satellites GPS DCBs with two different methods

    Li, Linlin / Jin, Shuanggen

    eISSN: 1432-0576

    2023  

    Abstract: Differential code bias (DCB) is one of the Global Positioning System (GPS) errors, which affects the calculation of total electron content (TEC) and ionospheric modeling. In the past, DCB was normally estimated as a constant in one day, while DCB of low ... ...

    Abstract Differential code bias (DCB) is one of the Global Positioning System (GPS) errors, which affects the calculation of total electron content (TEC) and ionospheric modeling. In the past, DCB was normally estimated as a constant in one day, while DCB of low Earth orbit (LEO) satellite GPS receiver may have large variations within one day due to complex space environments and highly dynamic orbit conditions. In this study, daily and hourly DCBs of Meteorological Operational (MetOp) satellites GPS receivers are calculated and evaluated using spherical harmonic function (SHF) and local spherical symmetry (LSS) assumption. The results demonstrated that both approaches could obtain accurate and consistent DCB values. The estimated daily DCB standard deviation (STD) is within 0.1 ns in accordance with the LSS assumption and is numerically less than the standard deviation of the reference value provided by the COSMIC Data Analysis and Archive Center (CDAAC). The average error's absolute value is within 0.2 ns with respect to the provided DCB reference value. As for the SHF method, the DCB's standard deviation is within 0.1 ns, which is also less than the standard deviation of the CDAAC reference value. The average error of the absolute value is within 0.2 ns. The estimated hourly DCB with LSS assumptions suggested that calculated results of MetOpA, MetOpB, and MetOpC are, respectively, 0.5 ns to 3.1 ns, -1.1 ns to 1.5 ns, and -1.3 ns to 0.7 ns. The root mean square error (RMSE) is less than 1.2 ns, and the STD is under 0.6 ns. According to the SHF method, the results of MetOpA, MetOpB, and MetOpC are 1 ns to 2.7 ns, - 1 ns to 1 ns, and - 1.3 ns to 0.6 ns, respectively. The RMSE is under 1.3 ns and STD is less than 0.5 ns. The STD for solar active days is less than 0.43 ns, 0.49 ns, and 0.44 ns, respectively, with the LSS assumption, and the appropriate fluctuation ranges are 2.0 ns, 2.2 ns, and 2.2 ns. The variation ranges for the SHF method are 1.5 ns, 1.2 ns, and 1.2 ns, respectively, while the STD is under 0.28 ns, 0.35 ...
    Subject code 333
    Language English
    Publishing date 2023-06-12
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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