Pub Date : 2024-08-19DOI: 10.1016/j.asr.2024.08.044
Xiongchuan Chen, Shuangcheng Zhang, Yong Fang, Bin Wang, Ning Liu, Ningkang An, Jun Li, Zhijie Feng, Sijiezi Li
Expansive soils cause frequent surface deformation due to their expansion and contraction, which is a serious engineering hazard, and long-term subsidence monitoring is a prerequisite for preventing and controlling expansive soil disasters. Currently, the conventional monitoring methods for the above issue include Interferometric Synthetic Aperture Radar (InSAR) technology, but InSAR is not suitable for uninterrupted monitoring of surface deformation and has low sensitivity. Meanwhile, it can’t obtain multiple surface environmental parameters around the station. The Global Navigation Satellite System (GNSS), a system that can directly acquire surface deformation, has been widely used in landslide disaster monitoring, and in recent years, this technology has also been applied to the field of expansive soil disaster monitoring. At the same time, GNSS can also provide a constant stream of L-band microwave signals to obtain ground environmental information such as precipitable rainfall and soil moisture around the station. In previous studies of expansive soil hazards, GNSS technology has been mainly used to provide surface deformation information without exploring its potential to invert ground environmental information around stations. This paper proposes a ground-based GNSS remote sensing integrated monitoring system that integrates expanding land surface parameters such as “precipitable rainfall, soil moisture, and three-dimensional deformation” and analyses the ability of ground-based GNSS to be used for integrated monitoring of expanding soil hazards by combining ten years of consecutive observational data from GNSS stations along the coastal area of Houston. The experimental results show that the GNSS is capable of providing highly accurate time-series characterization of deformation, and inelastic subsidence in recent years has resulted in a cumulative permanent elevation loss of 2 cm along the Houston coast. The correlation coefficient between soil moisture extracted by the fifth-generation European reanalysis data (ERA5) and soil moisture inverted by ground-based GNSS is 0.514. At the same time, the GNSS was also able to monitor the zenithal precipitable water vapor (PWV) and soil moisture changes around the GNSS station and further analyze the response relationship among the three parameters, which could comprehensively evaluate the stability of expansive soils, avoiding the unreliability of relying on a single piece of monitoring information to assess the stability of expansive soils. We hope to construct a more comprehensive ground-based GNSS remote sensing monitoring system to better monitor expansive soil hazards.
{"title":"CORS station for synergistic monitoring of multivariate surface parameters in expansive soils","authors":"Xiongchuan Chen, Shuangcheng Zhang, Yong Fang, Bin Wang, Ning Liu, Ningkang An, Jun Li, Zhijie Feng, Sijiezi Li","doi":"10.1016/j.asr.2024.08.044","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.044","url":null,"abstract":"Expansive soils cause frequent surface deformation due to their expansion and contraction, which is a serious engineering hazard, and long-term subsidence monitoring is a prerequisite for preventing and controlling expansive soil disasters. Currently, the conventional monitoring methods for the above issue include Interferometric Synthetic Aperture Radar (InSAR) technology, but InSAR is not suitable for uninterrupted monitoring of surface deformation and has low sensitivity. Meanwhile, it can’t obtain multiple surface environmental parameters around the station. The Global Navigation Satellite System (GNSS), a system that can directly acquire surface deformation, has been widely used in landslide disaster monitoring, and in recent years, this technology has also been applied to the field of expansive soil disaster monitoring. At the same time, GNSS can also provide a constant stream of L-band microwave signals to obtain ground environmental information such as precipitable rainfall and soil moisture around the station. In previous studies of expansive soil hazards, GNSS technology has been mainly used to provide surface deformation information without exploring its potential to invert ground environmental information around stations. This paper proposes a ground-based GNSS remote sensing integrated monitoring system that integrates expanding land surface parameters such as “precipitable rainfall, soil moisture, and three-dimensional deformation” and analyses the ability of ground-based GNSS to be used for integrated monitoring of expanding soil hazards by combining ten years of consecutive observational data from GNSS stations along the coastal area of Houston. The experimental results show that the GNSS is capable of providing highly accurate time-series characterization of deformation, and inelastic subsidence in recent years has resulted in a cumulative permanent elevation loss of 2 cm along the Houston coast. The correlation coefficient between soil moisture extracted by the fifth-generation European reanalysis data (ERA5) and soil moisture inverted by ground-based GNSS is 0.514. At the same time, the GNSS was also able to monitor the zenithal precipitable water vapor (PWV) and soil moisture changes around the GNSS station and further analyze the response relationship among the three parameters, which could comprehensively evaluate the stability of expansive soils, avoiding the unreliability of relying on a single piece of monitoring information to assess the stability of expansive soils. We hope to construct a more comprehensive ground-based GNSS remote sensing monitoring system to better monitor expansive soil hazards.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.1016/j.asr.2024.08.042
Rosemary M. Killen, Benjamin T. Sprague, William M. Farrell
Outgassing from materials, whether through the ascent/descent stages of lunar vehicles, airlock depressurizing, rover or astronaut suit outgassing, may cause an effect of unwanted accumulation of volatiles at the surface and exosphere. This is especially important at (or proximal) to permanently shadowed regions (PSRs) at the lunar poles. Herein, we provide estimates of expected outgassing from various human-landed objects on the Moon, including backpacks, airlocks, rovers, landers, trash and mining operations. Astronaut suits produce some level of oxygen outgassing (Helou et al., 2022), which may transport and condense in these PSRs, even in micro- cold traps (Glavin et al., 2010).We estimate the outgassing from drill mining and trash-to-gas conversion assuming a specific technology is operating. These outgassing systems can create local, temporary atmospheres in the vicinity (∼100 km radius) of the sources. The atmosphere may be particularly high within meters of the source. To obtain column densities for these temporary atmospheres, we first bracket ranges for the gas number loss as a function of time. We then derive the maximum distance traveled and the time the released molecules remain in the exosphere for a single ballistic hop, assuming the molecules are ejected from the surface of the object at its surface temperature. In some cases, such as the astronaut backpack and the rover, the temperature is that of the source. Given this information, an average and peak local exospheric density and column density can be estimated. We find that backpacks, airlock releases, and the Starship lander can create relatively high-density local atmospheres, with local near-lander outgassing water densities exceeding 10/cm. This local water exosphere is over 10 times greater than the LADEE-derived lower limit of the natural water exosphere at ∼3/cm. Thus, the anthropogenic temporary water exosphere will likely dominate the environment near the lander, making an assessment of the natural exospheric water environment difficult.
{"title":"Temporary atmospheres produced by human activities on the Moon","authors":"Rosemary M. Killen, Benjamin T. Sprague, William M. Farrell","doi":"10.1016/j.asr.2024.08.042","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.042","url":null,"abstract":"Outgassing from materials, whether through the ascent/descent stages of lunar vehicles, airlock depressurizing, rover or astronaut suit outgassing, may cause an effect of unwanted accumulation of volatiles at the surface and exosphere. This is especially important at (or proximal) to permanently shadowed regions (PSRs) at the lunar poles. Herein, we provide estimates of expected outgassing from various human-landed objects on the Moon, including backpacks, airlocks, rovers, landers, trash and mining operations. Astronaut suits produce some level of oxygen outgassing (Helou et al., 2022), which may transport and condense in these PSRs, even in micro- cold traps (Glavin et al., 2010).We estimate the outgassing from drill mining and trash-to-gas conversion assuming a specific technology is operating. These outgassing systems can create local, temporary atmospheres in the vicinity (∼100 km radius) of the sources. The atmosphere may be particularly high within meters of the source. To obtain column densities for these temporary atmospheres, we first bracket ranges for the gas number loss as a function of time. We then derive the maximum distance traveled and the time the released molecules remain in the exosphere for a single ballistic hop, assuming the molecules are ejected from the surface of the object at its surface temperature. In some cases, such as the astronaut backpack and the rover, the temperature is that of the source. Given this information, an average and peak local exospheric density and column density can be estimated. We find that backpacks, airlock releases, and the Starship lander can create relatively high-density local atmospheres, with local near-lander outgassing water densities exceeding 10/cm. This local water exosphere is over 10 times greater than the LADEE-derived lower limit of the natural water exosphere at ∼3/cm. Thus, the anthropogenic temporary water exosphere will likely dominate the environment near the lander, making an assessment of the natural exospheric water environment difficult.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.1016/j.asr.2024.08.043
Shuaifeng Hu, Qinghua Xie, J. David Ballester-Berman, Qi Dou, Xing Peng, Youjun Wang, Haiqiang Fu, Jianjun Zhu
In this study, a general three-component polarimetric SAR interferometry (PolInSAR) target decomposition framework is proposed by modifying the existing generalized surface, double-bounce, and volume models. The resulting general models are then compared to the original Freeman-Durden modeling strategy. Three types of generalized volume scattering models (generalized volume scattering model (GVSM), simplified Neumann volume scattering model (SNVSM) and simplified adaptive volume scattering model (SAVSM)) were employed. Simulated L-band PolInSAR data over deciduous and pine forest stands generated by PolSARpro and DLR P-band airborne PolInSAR data over a tropical forest area from the AfriSAR 2016 campaign were used for performance analysis. A qualitative comparison of the decomposition results shows that the three generalized volume scattering models generally deviate from the Freeman-Durden model, showing that the GVSM and SNVSM models have very similar results. In the case of airborne data over tropical forests, a tomographic synthetic aperture radar (TomoSAR) profile was also computed and used as a benchmark for comparison with the phase-center profiles of all four volume-scattering components. Not only do the GVSM and SNVSM models exhibit similar results between them (as with simulated data), but also a better match with the HV TomoSAR profile.
{"title":"A general three-component polarimetric SAR interferometry target decomposition","authors":"Shuaifeng Hu, Qinghua Xie, J. David Ballester-Berman, Qi Dou, Xing Peng, Youjun Wang, Haiqiang Fu, Jianjun Zhu","doi":"10.1016/j.asr.2024.08.043","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.043","url":null,"abstract":"In this study, a general three-component polarimetric SAR interferometry (PolInSAR) target decomposition framework is proposed by modifying the existing generalized surface, double-bounce, and volume models. The resulting general models are then compared to the original Freeman-Durden modeling strategy. Three types of generalized volume scattering models (generalized volume scattering model (GVSM), simplified Neumann volume scattering model (SNVSM) and simplified adaptive volume scattering model (SAVSM)) were employed. Simulated L-band PolInSAR data over deciduous and pine forest stands generated by PolSARpro and DLR P-band airborne PolInSAR data over a tropical forest area from the AfriSAR 2016 campaign were used for performance analysis. A qualitative comparison of the decomposition results shows that the three generalized volume scattering models generally deviate from the Freeman-Durden model, showing that the GVSM and SNVSM models have very similar results. In the case of airborne data over tropical forests, a tomographic synthetic aperture radar (TomoSAR) profile was also computed and used as a benchmark for comparison with the phase-center profiles of all four volume-scattering components. Not only do the GVSM and SNVSM models exhibit similar results between them (as with simulated data), but also a better match with the HV TomoSAR profile.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.1016/j.asr.2024.08.041
Mu He, Hongbing Zhu
Solar activity dynamics are explored through an in-depth analysis of the interplay between sunspot numbers and critical magnetohydrodynamic parameters − specifically Alfvén Mach number and Magnetosonic Mach number − over the past four solar cycles (SC). Our investigation reveals a robust negative correlation between SSN and both Alfvén Mach number and Magnetosonic Mach number, shedding light on the intertwined nature of solar magnetic phenomena and magnetohydrodynamic processes. Significant temporal synchronicities are unveiled, elucidating compelling alignments between specific features of Alfvén Mach number and Magnetosonic Mach number and the peaks and troughs of SSN throughout the solar cycles. This temporal coherence underscores the complex interplay between solar magnetic activity and the broader dynamics of magnetohydrodynamic phenomena, providing deeper insights into solar cycle behavior. To enhance our understanding and predictive capabilities, we deploy an optimized LSTM+model for forecasting Alfvén Mach number and Magnetosonic Mach number in the ongoing solar cycle, SC-25. Rigorous validation of the model’s accuracy is achieved through meticulous examination of prediction results for SC-24, affirming the reliability and robustness of our predictive framework. Furthermore, the anticipated timing of the first appearance to peak and the overall peak of SSN in SC-25 is calculated as 2 Jun. 2023 ± 34 days and 16 Jan. 2025 ± 27 days, respectively. Notably, these projections suggest the possibility of a double peak phenomenon in SC-25, characterized by comparable intensity levels around 160.
{"title":"Correlating sunspot numbers with Alfvén and Magnetosonic Mach number across last four solar cycles and prediction of solar cycle 25 with LSTM+model","authors":"Mu He, Hongbing Zhu","doi":"10.1016/j.asr.2024.08.041","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.041","url":null,"abstract":"Solar activity dynamics are explored through an in-depth analysis of the interplay between sunspot numbers and critical magnetohydrodynamic parameters − specifically Alfvén Mach number and Magnetosonic Mach number − over the past four solar cycles (SC). Our investigation reveals a robust negative correlation between SSN and both Alfvén Mach number and Magnetosonic Mach number, shedding light on the intertwined nature of solar magnetic phenomena and magnetohydrodynamic processes. Significant temporal synchronicities are unveiled, elucidating compelling alignments between specific features of Alfvén Mach number and Magnetosonic Mach number and the peaks and troughs of SSN throughout the solar cycles. This temporal coherence underscores the complex interplay between solar magnetic activity and the broader dynamics of magnetohydrodynamic phenomena, providing deeper insights into solar cycle behavior. To enhance our understanding and predictive capabilities, we deploy an optimized LSTM+model for forecasting Alfvén Mach number and Magnetosonic Mach number in the ongoing solar cycle, SC-25. Rigorous validation of the model’s accuracy is achieved through meticulous examination of prediction results for SC-24, affirming the reliability and robustness of our predictive framework. Furthermore, the anticipated timing of the first appearance to peak and the overall peak of SSN in SC-25 is calculated as 2 Jun. 2023 ± 34 days and 16 Jan. 2025 ± 27 days, respectively. Notably, these projections suggest the possibility of a double peak phenomenon in SC-25, characterized by comparable intensity levels around 160.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The impact of photovoltaic power plants (PVs) on ambient temperature has received global research attention. However, existing reports predominantly focus on ground photovoltaic power plants (GPVs), with limited attention to water photovoltaic power plants (WPVs). As a new type of PVs, the influence of WPVs on nearby water surface temperature (WST) remains unclear. Utilizing 15 WPVs in China as case studies, this study assessed the effect of WPVs on nearby WST through remote sensing techniques. The findings revealed that WPVs have a significant heating effect ( < 0.001) on the WST in the nearby zone (0–120 m from the photovoltaic panels) compared to the distant water (120–240 m from the photovoltaic panels), indicating that WPVs can modify the thermal environment of adjacent water. Furthermore, we further found that the photovoltaic coverage ratio is significantly ( < 0.05) positively correlated with the heating effect of WPVs on nearby WST. This paper highlights the effectiveness of remote sensing techniques in evaluating the impact of photovoltaics on surrounding WST. Considering the potential impact of the photovoltaic heating effect on the aquatic ecological environment, we recommend carefully considering the necessity and appropriate area proportion of WPVs in specific water.
{"title":"Assessing effect of water photovoltaics on nearby water surface temperature using remote sensing techniques","authors":"Di Chen, Qiuzhi Peng, Jiating Lu, Peiyi Huang, Yaxuan Liu, Fengcan Peng","doi":"10.1016/j.asr.2024.08.040","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.040","url":null,"abstract":"The impact of photovoltaic power plants (PVs) on ambient temperature has received global research attention. However, existing reports predominantly focus on ground photovoltaic power plants (GPVs), with limited attention to water photovoltaic power plants (WPVs). As a new type of PVs, the influence of WPVs on nearby water surface temperature (WST) remains unclear. Utilizing 15 WPVs in China as case studies, this study assessed the effect of WPVs on nearby WST through remote sensing techniques. The findings revealed that WPVs have a significant heating effect ( < 0.001) on the WST in the nearby zone (0–120 m from the photovoltaic panels) compared to the distant water (120–240 m from the photovoltaic panels), indicating that WPVs can modify the thermal environment of adjacent water. Furthermore, we further found that the photovoltaic coverage ratio is significantly ( < 0.05) positively correlated with the heating effect of WPVs on nearby WST. This paper highlights the effectiveness of remote sensing techniques in evaluating the impact of photovoltaics on surrounding WST. Considering the potential impact of the photovoltaic heating effect on the aquatic ecological environment, we recommend carefully considering the necessity and appropriate area proportion of WPVs in specific water.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-17DOI: 10.1016/j.asr.2024.08.037
Lei Zhao, Paul Blunt, Lei Yang, Qiyuan Zhang, Guangcai Li, Qiang Wen
The GNSS Precise Point Positioning (PPP) model is usually established in either an ionospheric-free (IF) combined form or an uncombined (UC) form. These formulations can be equivalent in theory but their applications in practice could still perform differently when integrated with external sensors. In this study, we compared the positioning performance of the two PPP models tightly coupled with the Inertial Navigation System (INS) using a high-grade inertial measurement unit (IMU) in real vehicle navigation tests. The ambiguity resolution (AR) was also exploited in the two PPP models after applying the observable specific biases (OSB) to the GNSS raw code and phase measurements. According to the results, under good satellite observability the UC PPP/INS tightly-coupled integration (TCI) significantly outperforms the IF PPP/INS TCI. The UC TCI model with AR could achieve a positioning accuracy of 4.6 and 3.0 cm in the horizontal and vertical directions, which are improved by 37 % and 63 % respectively relative to the IF TCI model. However, in the case of frequent GNSS signal interruptions or poor satellite observation condition, the IF TCI model shows a superior reliability than the UC TCI. Nevertheless, when the ionospheric parameters are properly constrained in the UC TCI model, substantial improvements in terms of convergence and accuracy are obtained. The UC PPP augmented with external precise ionospheric information would greatly increase the cost, and users may select the appropriate PPP model with INS TCI in real applications in accordance with the demanded accuracy level and measuring conditions.
{"title":"Tight integration of real-time GNSS PPP and INS: Ionosphere-free combined vs uncombined models","authors":"Lei Zhao, Paul Blunt, Lei Yang, Qiyuan Zhang, Guangcai Li, Qiang Wen","doi":"10.1016/j.asr.2024.08.037","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.037","url":null,"abstract":"The GNSS Precise Point Positioning (PPP) model is usually established in either an ionospheric-free (IF) combined form or an uncombined (UC) form. These formulations can be equivalent in theory but their applications in practice could still perform differently when integrated with external sensors. In this study, we compared the positioning performance of the two PPP models tightly coupled with the Inertial Navigation System (INS) using a high-grade inertial measurement unit (IMU) in real vehicle navigation tests. The ambiguity resolution (AR) was also exploited in the two PPP models after applying the observable specific biases (OSB) to the GNSS raw code and phase measurements. According to the results, under good satellite observability the UC PPP/INS tightly-coupled integration (TCI) significantly outperforms the IF PPP/INS TCI. The UC TCI model with AR could achieve a positioning accuracy of 4.6 and 3.0 cm in the horizontal and vertical directions, which are improved by 37 % and 63 % respectively relative to the IF TCI model. However, in the case of frequent GNSS signal interruptions or poor satellite observation condition, the IF TCI model shows a superior reliability than the UC TCI. Nevertheless, when the ionospheric parameters are properly constrained in the UC TCI model, substantial improvements in terms of convergence and accuracy are obtained. The UC PPP augmented with external precise ionospheric information would greatly increase the cost, and users may select the appropriate PPP model with INS TCI in real applications in accordance with the demanded accuracy level and measuring conditions.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-17DOI: 10.1016/j.asr.2024.08.038
Nikolay Koshkin, Leonid Shakun, Elena Korobeynikova, Seda Melikyants, Svetlana Strakhova, Vladislav Dragomiretsky, Andrey Ryabov, Sergey Terpan, Tatiana Golubovskaya
Near-Earth space is becoming increasingly congested; the number of satellites in low Earth orbit (LEO), where there is already the greatest spatial density of objects (including man-made debris), is increasing rapidly. Knowing the status of non-cooperative space objects is one of the requirements of space situational awareness (SSA). Assessing the dynamic properties of large inactive satellites and rocket bodies, such as their rotation period and the spatial location of the rotation axis, is necessary to predict their orientation. This information is critical to both the success of active debris removal (ADR) missions and improved orbital propagation of objects in LEO. Monitoring the state of RSO is carried out by various means, including using ground-based optical sensors by collecting photometric data, processing it and analyzing light curves. This paper presents a new method for estimating the orientation of the RSO rotation axis in space. This method relies on structural analysis of RSO light curves and the search for similar fragments, called ”photometric patterns,” in observations obtained from one or several sites simultaneously or over a short period of time. The method does not require knowledge of the RSO shape and does not impose strict requirements on the quality of photometric observations.
{"title":"Determination of the spacecraft’s spin axis orientation. Photometric patterns method","authors":"Nikolay Koshkin, Leonid Shakun, Elena Korobeynikova, Seda Melikyants, Svetlana Strakhova, Vladislav Dragomiretsky, Andrey Ryabov, Sergey Terpan, Tatiana Golubovskaya","doi":"10.1016/j.asr.2024.08.038","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.038","url":null,"abstract":"Near-Earth space is becoming increasingly congested; the number of satellites in low Earth orbit (LEO), where there is already the greatest spatial density of objects (including man-made debris), is increasing rapidly. Knowing the status of non-cooperative space objects is one of the requirements of space situational awareness (SSA). Assessing the dynamic properties of large inactive satellites and rocket bodies, such as their rotation period and the spatial location of the rotation axis, is necessary to predict their orientation. This information is critical to both the success of active debris removal (ADR) missions and improved orbital propagation of objects in LEO. Monitoring the state of RSO is carried out by various means, including using ground-based optical sensors by collecting photometric data, processing it and analyzing light curves. This paper presents a new method for estimating the orientation of the RSO rotation axis in space. This method relies on structural analysis of RSO light curves and the search for similar fragments, called ”photometric patterns,” in observations obtained from one or several sites simultaneously or over a short period of time. The method does not require knowledge of the RSO shape and does not impose strict requirements on the quality of photometric observations.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-15DOI: 10.1016/j.asr.2024.08.030
Subbulakshmi M, Sachikanta Nanda
Flood susceptibility maps provide invaluable information for assessing and managing flood-prone areas, aiding in proactive planning, risk reduction strategies, and safeguarding vulnerable communities. The current research concentrates on advancing sustainable development practices by undertaking a comprehensive assessment of flood susceptibility in the Upper Vellar basin, with a projection for 2050. Employing an integrative methodology, this study utilizes an Analytical Hierarchy Process (AHP) and Bivariate Analysis. Nine critical parameters were used: elevation, distance from the river, distance from the road, drainage density, predicted LULC, projected precipitation, slope, soil type, and Topographic Wetness Index (TWI). The Modules of Land Use Change Evaluation (MOLUSE) plugin, which uses Cellular Automata-Artificial Neural Network (CA-ANN), was employed to predict the LULC map for the year 2050. Furthermore, bias-corrected Coupled Model Intercomparison Project 6 (CMIP 6) EC EARTH 3 Model (GCM) RCP 4.5 and 8.5 projected precipitation data were employed. The resulting flood susceptibility zones are classified into three categories: low, moderate, and high, with proportions of 32.64%, 55.52%, and 11.84% for RCP 4.5, and 34.63%, 53.46%, and 11.91% for RCP 8.5, respectively, concerning the total area. In both scenarios, nearly 38% of the settlement area is at high flood risk. This study provides essential insights for policymakers and stakeholders, facilitating the formulation of sustainable strategies to address projected changes in land use, precipitation patterns, and flood susceptibility in the Upper Vellar region up to 2050.
{"title":"Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis","authors":"Subbulakshmi M, Sachikanta Nanda","doi":"10.1016/j.asr.2024.08.030","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.030","url":null,"abstract":"Flood susceptibility maps provide invaluable information for assessing and managing flood-prone areas, aiding in proactive planning, risk reduction strategies, and safeguarding vulnerable communities. The current research concentrates on advancing sustainable development practices by undertaking a comprehensive assessment of flood susceptibility in the Upper Vellar basin, with a projection for 2050. Employing an integrative methodology, this study utilizes an Analytical Hierarchy Process (AHP) and Bivariate Analysis. Nine critical parameters were used: elevation, distance from the river, distance from the road, drainage density, predicted LULC, projected precipitation, slope, soil type, and Topographic Wetness Index (TWI). The Modules of Land Use Change Evaluation (MOLUSE) plugin, which uses Cellular Automata-Artificial Neural Network (CA-ANN), was employed to predict the LULC map for the year 2050. Furthermore, bias-corrected Coupled Model Intercomparison Project 6 (CMIP 6) EC EARTH 3 Model (GCM) RCP 4.5 and 8.5 projected precipitation data were employed. The resulting flood susceptibility zones are classified into three categories: low, moderate, and high, with proportions of 32.64%, 55.52%, and 11.84% for RCP 4.5, and 34.63%, 53.46%, and 11.91% for RCP 8.5, respectively, concerning the total area. In both scenarios, nearly 38% of the settlement area is at high flood risk. This study provides essential insights for policymakers and stakeholders, facilitating the formulation of sustainable strategies to address projected changes in land use, precipitation patterns, and flood susceptibility in the Upper Vellar region up to 2050.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-15DOI: 10.1016/j.asr.2024.08.028
Boxin Li, Zhaokui Wang
The planetary construction is necessary for long-term scientific deep space exploration and resource utilization in the future. The planetary robotic assembly control is a key technology that must be broken through in future planetary surface construction. The paper focuses on the most representative dual peg-in–hole assembly, which has sufficiently complex contact interaction, wide range of applications and good method portability. To address the challenges brought by the unstructured planetary environment and the features of the construction tasks, the paper proposes an end-to-end deep reinforcement learning and control method with multimodal perception for planetary robotic assembly tasks. A staged reward function based on the visual virtual target point for policy learning is designed. The effectiveness and feasibility of the proposed control method have been verified through simulation experiments and ground real robot experiments. It provides a feasible control method of robotic operations for future planetary surface construction.
{"title":"End-to-end deep reinforcement learning and control with multimodal perception for planetary robotic dual peg-in-hole assembly","authors":"Boxin Li, Zhaokui Wang","doi":"10.1016/j.asr.2024.08.028","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.028","url":null,"abstract":"The planetary construction is necessary for long-term scientific deep space exploration and resource utilization in the future. The planetary robotic assembly control is a key technology that must be broken through in future planetary surface construction. The paper focuses on the most representative dual peg-in–hole assembly, which has sufficiently complex contact interaction, wide range of applications and good method portability. To address the challenges brought by the unstructured planetary environment and the features of the construction tasks, the paper proposes an end-to-end deep reinforcement learning and control method with multimodal perception for planetary robotic assembly tasks. A staged reward function based on the visual virtual target point for policy learning is designed. The effectiveness and feasibility of the proposed control method have been verified through simulation experiments and ground real robot experiments. It provides a feasible control method of robotic operations for future planetary surface construction.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-15DOI: 10.1016/j.asr.2024.08.035
Hangbiao Zhu, Haichao Gui, Rui Zhong
This paper addresses the estimation problem of nonlinear systems evolving on Lie groups with unknown parameters. More precisely, some parameters in the equations of motion or sensor measurements are unknown, such as gravitational anomalies and measurement biases, and are infeasible to estimate with available observations. The unscented Schmidt-Kalman filter (USKF) approach in Euclidean space is incorporated with exponential maps from Lie algebra to Lie groups, to develop USKF algorithms on Lie groups. Two types of USKFs are derived, respectively, from left-invariant and right-invariant state estimation errors. The two USKFs, not only account for the effect of unknown parameters but also provide estimates preserving the geometry of state manifold. They are advantageous over the extended Schmidt-Kalman filter for nonlinear systems in the sense of avoiding the computation of Jacobian and achieving higher or comparable estimation accuracy depending on the magnitude of parameters uncertainties. The proposed method is then applied to a spacecraft attitude estimation problem based on quaternion representation, where the magnitude of the gyroscope bias noise is unknown. Simulations are conducted to illustrate the effectiveness of the proposed algorithms in comparison with other methods.
{"title":"Unscented Schmidt-Kalman filter on Lie groups with application to spacecraft attitude estimation","authors":"Hangbiao Zhu, Haichao Gui, Rui Zhong","doi":"10.1016/j.asr.2024.08.035","DOIUrl":"https://doi.org/10.1016/j.asr.2024.08.035","url":null,"abstract":"This paper addresses the estimation problem of nonlinear systems evolving on Lie groups with unknown parameters. More precisely, some parameters in the equations of motion or sensor measurements are unknown, such as gravitational anomalies and measurement biases, and are infeasible to estimate with available observations. The unscented Schmidt-Kalman filter (USKF) approach in Euclidean space is incorporated with exponential maps from Lie algebra to Lie groups, to develop USKF algorithms on Lie groups. Two types of USKFs are derived, respectively, from left-invariant and right-invariant state estimation errors. The two USKFs, not only account for the effect of unknown parameters but also provide estimates preserving the geometry of state manifold. They are advantageous over the extended Schmidt-Kalman filter for nonlinear systems in the sense of avoiding the computation of Jacobian and achieving higher or comparable estimation accuracy depending on the magnitude of parameters uncertainties. The proposed method is then applied to a spacecraft attitude estimation problem based on quaternion representation, where the magnitude of the gyroscope bias noise is unknown. Simulations are conducted to illustrate the effectiveness of the proposed algorithms in comparison with other methods.","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142186592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：