Advances in Space Research最新文献

{"title":"Corrigendum to “Drivers of wildfire spatial expansion: Modeling insights from semi-arid oak forests of West Iran” [Adv. Space Res. 75(10) (2025) 7184–7194]","authors":"Akram Sadeghi , Mozhgan Ahmadi Nadoushan , Naser Ahmadi Sani","doi":"10.1016/j.asr.2025.05.044","DOIUrl":"10.1016/j.asr.2025.05.044","url":null,"abstract":"","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Page 563"},"PeriodicalIF":2.8,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222862","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}

{"title":"Corrigendum to “A multipath mitigation method for significant environmental changes in deformation monitoring” [Adv. Space Res. 75(3) (2025) 2753–2763]","authors":"Chaoqian Xu , Zihuai Guo , Yibin Yao , Mingxian Hu , Peifen Pan","doi":"10.1016/j.asr.2025.05.014","DOIUrl":"10.1016/j.asr.2025.05.014","url":null,"abstract":"","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Page 562"},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222861","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}

{"title":"Evaluation and improvement of the Sentinel-3 Ku band backscatter coefficient atmospheric attenuation correction over the open ocean","authors":"Pedro Aguiar,&nbsp;Telmo Vieira,&nbsp;Clara Lázaro,&nbsp;M.Joana Fernandes","doi":"10.1016/j.asr.2025.05.018","DOIUrl":"10.1016/j.asr.2025.05.018","url":null,"abstract":"<div><div>The presence of water vapor and cloud liquid water in the Earth’s atmosphere induces an attenuation in satellite altimeters backscatter coefficient (σ₀) measurements. To account for this effect, an atmospheric attenuation correction, Δσ₀, is added to the measured σ₀. The focus of this study is the assessment and improvement over open ocean of the Sentinel-3 Synthetic Aperture Radar Altimeter (SRAL) Ku band Δσ₀, operationally computed from Microwave Radiometer (MWR) measurements and the uncorrected SRAL σ₀. In a first phase, comparisons are performed against the Jason-3 Ku band Δσ₀ and Δσ₀ computed from single-layer model grids from the ERA5 atmospheric model. Results show that the Sentinel-3A Δσ₀ lacks precision mainly over regions of high atmospheric water vapor content, where the standard deviation of the relative differences to the ERA5 model are 50 % and higher. In a second phase, two new Sentinel-3A Δσ₀ algorithms are proposed, a new MWR-derived solution and one computed from the Global Navigation Satellite Systems-derived Path Delay Plus (GPD+) wet tropospheric correction. Results show that, w.r.t. the Sentinel-3A operational algorithm, the developed Δσ₀ approaches and the one derived from ERA5 are able to reduce the standard deviation of 10-meter surface wind speed (computed from σ₀ corrected for attenuation) differences to 10-meter equivalent neutral winds from the MetOp-B Advanced Scatterometer. The largest reductions are of the order of 0.3 m/s and higher and occur predominantly over regions of high atmospheric water vapor content. Additionally, the new MWR and GPD+ Δσ₀ algorithms present the most feasible solutions for operational applications.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 19-31"},"PeriodicalIF":2.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222757","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}

{"title":"Monthly mean sea level variability in the eastern sub-basin of the Gulf of Cadiz from altimetry and coastal tide gauge data sets","authors":"Begoña Tejedor,&nbsp;Óscar Álvarez,&nbsp;Arena Martin-Olivo,&nbsp;Jesús Gómez-Enri","doi":"10.1016/j.asr.2025.05.001","DOIUrl":"10.1016/j.asr.2025.05.001","url":null,"abstract":"<div><div>In this work, the main forcing factors affecting the monthly mean sea level in the eastern sub-basin of the Gulf of Cadiz (south-western Iberian Peninsula) are analysed in detail. Monthly mean sea level (MMSL) anomaly time series (30 years:1993–2022) from altimetry and tide gauges are used for this purpose. Validation of altimeter monthly MSL using two tide gauges (Huelva and Bonanza) gives high correlation coefficients (&gt;0.85) and low RMSE (&lt;3.5 cm). The comparison against Huelva was performed in the period: 1997–2022 due to data unavailability. A good level of accuracy is also observed for all the altimeter grid points analysed in the study area. The different local hydrodynamic conditions in the location of the tide gauges explains the differences in the validation results of altimeter data. The atmospheric pressure explains more than 40 % of the variance in the monthly mean sea level, indicating that this forcing factor is the main contributor to the sea level variability in our study area on long (&gt;1 month) timescales. Taking into account the seasonal cycle, the variance ranges between 65 % (western sub-basin) and 74 % (eastern sub-basin). This percentage reaches up to 86–90 % of the variance considering the sea level trend. The isostatic assumption (−1 cm/hPa) is only valid on the western side of the sub-basin, reaching −1.3 cm/hPa on the eastern side with a marked E-W variation. For this reason, removing the atmospheric effect using inverse barometer correction can lead to misinterpretations of the contribution of this effect to the sea level variability. No significant differences were observed in the variability of the MMSL between coastal areas and the open ocean, while there was a slight spatial variation in the sea level trend, with minimum values in coastal areas close to the Strait of Gibraltar. Atmospheric pressure, although the main driver of MSL variability, does not affect the value of the sea level trend, but only reduces the uncertainty. This is also the case for the seasonal cycle.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 1-18"},"PeriodicalIF":2.8,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222756","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}

{"title":"AISP programmable ionosonde","authors":"Achille Zirizzotti ,&nbsp;Bala Viswanth Ganesh Kumar ,&nbsp;Umberto Sciacca ,&nbsp;Carlo Scotto ,&nbsp;Enrico Zuccheretti ,&nbsp;James Arokiasamy Baskaradas","doi":"10.1016/j.asr.2025.04.072","DOIUrl":"10.1016/j.asr.2025.04.072","url":null,"abstract":"<div><div>This paper presents a description of a prototype development project for a pulse compression ionosonde designed for vertical surveys using coded pulse radar. The project exploits Software Defined Radio (SDR) devices in an effort to provide a programmable instrument that is more versatile and advanced compared to traditional ionosondes. The programmable ionosonde (AISP) represents an evolution of the AIS (Advanced Ionospheric Sounder) ionosonde, which was entirely designed and built at INGV and is currently operational at several ionospheric observatories. The AISP ionosonde is intended for vertical soundings and primarily consists of an SDR device serving as both transmitter and receiver of Radio Frequency (RF) signals. Additionally, it generates all necessary control signals for the ionosonde’s operation, including those for the RF power amplifier and antenna. The SDR device communicates with a Personal Computer (PC) via an Ethernet port, allowing for a wide range of configurations and enhancing the versatility of the ionosonde. Vertical surveys are conducted to map the ionosphere in specific regions, facilitating the validation of theoretical models of the global ionosphere.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 269-285"},"PeriodicalIF":2.8,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222753","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}

{"title":"Improving LEO short-term orbit prediction using LSTM neural network","authors":"Wei Zhang,&nbsp;Keke Zhang,&nbsp;Xingxing Li,&nbsp;Jiande Huang","doi":"10.1016/j.asr.2025.04.067","DOIUrl":"10.1016/j.asr.2025.04.067","url":null,"abstract":"<div><div>Orbit prediction of low earth orbit (LEO) satellites is of paramount importance for LEO-augmented navigation. Currently, the most widely used approach for satellite orbit prediction in navigation domain is the dynamical propagation method, which necessitates a good understanding of orbital dynamics. However, this method is plagued by the rapid error accumulation as prediction time increases due to our limited knowledge of the complex orbit dynamics. An effective solution to this challenge is employing the machine learning algorithm, which is data-driven and requires no explicit physical knowledge, in orbit prediction of LEO satellites. We focus on improving LEO short-term (less than 120 min) orbit prediction using the long short-term memory (LSTM) neural network. To this end, we have constructed datasets of the entire year 2019 from seven LEO satellites to conduct the experiments. Historical orbit prediction errors, derived from the comparison between the dynamical-propagation-based predicted orbit and external precise orbit, along with multiple satellite status and environment features are trained to forecast future orbit prediction errors, which will subsequently serve as the compensation for improving the dynamical-propagation-based predicted orbit. Our findings reveal that the LSTM model can improve the accuracy of predicted orbit by more than 30 % for most LEO satellites with a maximum percentage around 75 %. Benefiting from the LSTM model, the prediction time for obtaining 5-cm accuracy of predicted orbit can be extended to (41.2, 42.0, 31.2, 37.9, 30.0, 86.3, 108.1) min for GRACE-C/D, Swarm-A/B/C, and Sentinel-3A/3B satellites, respectively. Additionally, generalization tests between different LEO satellites suggest that the LSTM model exhibits a commendable generalization ability when orbit prediction time is less than 30 min. As the prediction time increases, the model trained using datasets from one LEO satellite is more suitable for forecasting orbit prediction errors of multiple LEO satellites with comparable orbital altitude and orbital plane.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 481-496"},"PeriodicalIF":2.8,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222856","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}

{"title":"Evaluating the performance of Klobuchar, NeQuickG and BDGIM models during the ascending phase of solar cycle 25","authors":"Jianhui Liu ,&nbsp;Cheng Wang ,&nbsp;Kaiyu Xue ,&nbsp;Chuang Shi","doi":"10.1016/j.asr.2025.04.066","DOIUrl":"10.1016/j.asr.2025.04.066","url":null,"abstract":"<div><div>The ionosphere, a key component of the atmosphere, is highly susceptible to solar activity. The abundant free electrons and ions within the ionosphere cause significant interference with Global Navigation Satellite System (GNSS) signals, severely impacting GNSS positioning accuracy, particularly for single-frequency users. Consequently, three official broadcast ionospheric models (BIMs)—Klobuchar, NeQuickG, and BDGIM—have been developed to correct ionospheric delay. Currently, during the ascending phase of solar cycle 25, the ionospheric prediction accuracy of the three BIMs requires further analysis. Therefore, we collect the Klobuchar, NeQuickG, and BDGIM products from 2020 to 2024 to comparatively evaluate the ionospheric forecast accuracy of the three BIMs, using the CODG product as a reference. Observations from 40 multi-GNSS experiment (MGEX) stations from day of year 50 to 99 in each year are also used for GPS, Galileo, and BDS-3 single- and multi-system single-frequency single point positioning (SPP) solutions utilizing each BIM. The results indicate that the three BIMs gradually underestimate as solar activity intensifies, with the peak errors observed in the low-latitude regions and between 12:00 and 16:00 local time. The total electron content (TEC) estimation accuracy of the Klobuchar, NeQuickG, and BDGIM models deteriorates from 5.73, 4.14, and 3.24 TECUs in 2020 to 16.89, 11.52 and 13.15 TECU in 2024, respectively. For the positioning accuracy, both single-system and multi-system SPP positioning accuracy declines annually. The SPP solution using the BDGIM model is optimal during the low solar activity period, with three-dimensional (3D) positioning accuracy of 2.70 and 2.08 m for BDS-3, and 1.76 and 1.70 m for the three GNSS combination in 2020 and 2021, respectively. The SPP positioning accuracy using the NeQuickG model is optimal during periods of intense solar activity, with 3D positioning accuracy of 4.49 and 4.33 m for Galileo and 4.03 and 3.92 m for the three GNSS combination, respectively, in 2023 and 2024.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 396-411"},"PeriodicalIF":2.8,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222824","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}

{"title":"On-orbit assembly control based on model predictive control and load online identification","authors":"Yuntao Li,&nbsp;Zichun Xu,&nbsp;Zhiyuan Zhao,&nbsp;Lei Zhuang,&nbsp;Xiaohang Yang,&nbsp;Boyu Ma,&nbsp;Jingdong Zhao,&nbsp;Hong Liu","doi":"10.1016/j.asr.2025.04.068","DOIUrl":"10.1016/j.asr.2025.04.068","url":null,"abstract":"<div><div>Space manipulator are essential for on-orbit assembly (OOA) tasks. This paper proposes an advanced control framework to address key challenges in Cartesian trajectory tracking and compliant assembly. First, a rigid-body dynamic model of the manipulator is established using CAD model and joint friction identification. A Linear Extended State Observer (LESO) is designed to mitigate system errors by modeling both parametric uncertainties and external disturbances as an extended state. Additionally, the method for selecting parameters of the LESO, along with its convergence proof, is presented. Second, a model predictive control (MPC) algorithm is employed to optimize the Cartesian trajectory of the manipulator in real time. By linearizing the Cartesian space trajectory, the MPC problem is formulated as a QP problem. Solving this QP problem in real-time allows for the optimization of the Cartesian space trajectory, thereby improving the trajectory tracking accuracy in Cartesian space. Finally, online identification of load parameters, sensor zero drift, and temperature drift enables effective compliant assembly control. Extensive experiments validate the proposed methods: (1) The Cartesian trajectory tracking error is maintained below 0.1 mm. (2) After sensor compensation for identified load parameters, zero drift, and temperature drift, the maximum force residual is 0.42 N, and the maximum torque residual is 0.1 N m.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 533-550"},"PeriodicalIF":2.8,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222859","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}

{"title":"A new method for shoreline extraction based on the mountain shadow index reveals detailed changes in the coastline of eastern Zhejiang coast, China","authors":"CuiShuo Ye,&nbsp;LiNa Cai,&nbsp;Jie Yin,&nbsp;XiaoYu Yang","doi":"10.1016/j.asr.2025.04.022","DOIUrl":"10.1016/j.asr.2025.04.022","url":null,"abstract":"<div><div>In recent years, coastlines have undergone significant changes due to human activities and environmental changes. Precise extraction of the coastline is especially necessary. However, in complex terrains such as mountainous coastal areas, the spectral similarity between mountain shadows and water bodies can lead to misclassification, reducing the accuracy of coastline extraction. To address this issue, this study proposed a visually-based Mountain Shadow Index and based on which we established a new coastline extraction method suitable for both high and low turbidity waters. This method achieves higher accuracy in areas with mountain shadows and turbid waters compared to the NDWI and MNDWI. Using this method, the study analyzed changes in the coastline of eastern Zhejiang over the past 20 years. The results show a clear seaward advancement of the coastline, with a shift from a jagged to a smoother profile. This transformation is primarily attributed to large-scale land reclamation projects, driven by increasing land-use pressures in the region. Moreover, the newly established method can be applied to other coastal areas worldwide.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 12","pages":"Pages 8627-8641"},"PeriodicalIF":2.8,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131186","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}

{"title":"Spatio-temporal characteristics of ionospheric irregularities in low latitude regions during the peak of solar cycle 25","authors":"Napat Tongkasem ,&nbsp;Pornchai Supnithi ,&nbsp;Phimmasone Thammavongsy ,&nbsp;Michi Nishioka ,&nbsp;Septi Perwitasari ,&nbsp;Susumu Saito ,&nbsp;Jeff Klenzing ,&nbsp;Lin Min Min Myint","doi":"10.1016/j.asr.2025.04.062","DOIUrl":"10.1016/j.asr.2025.04.062","url":null,"abstract":"<div><div>Equatorial plasma bubbles (EPBs) are a primary source of ionospheric irregularities (IIR) in low-latitude regions. The severity of EPBs depends on the intensity, penetration, and disturbance of electric fields generated in the ionosphere. In this work, we analyze the IIR associated with geomagnetic activity in the low-latitude region (0°N–25°N, 90°E–110°E) from 2022 to 2024. The total electron content (TEC) and the rate of TEC index (ROTI) are used to investigate the spatiotemporal characteristics of these IIRs, influenced by both local EPBs and global geomagnetic storms. During low-to-moderate geomagnetic activity, electric field penetration and disturbances have a low impact on EPB development. The high solar activity intensifies the electric field, leading to intense EPB occurrences that can affect the entire region for several hours. From January 2022 to October 2024, these intense EPB events accounted for 35% of all EPB occurrences. During strong geomagnetic storms, the prompt penetration of electric fields (PPEF), and disturbance dynamo electric field (DDEF) caused the depression and fluctuations of TECs.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 1","pages":"Pages 254-268"},"PeriodicalIF":2.8,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222752","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}