Egyptian Journal of Remote Sensing and Space Sciences最新文献

{"title":"A research on a new mapping method for landslide susceptibility based on SBAS-InSAR technology","authors":"Zhifu Zhu ,&nbsp;Xiping Yuan ,&nbsp;Shu Gan ,&nbsp;Jianming Zhang ,&nbsp;Xiaolun Zhang","doi":"10.1016/j.ejrs.2023.11.009","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.009","url":null,"abstract":"<div><p>The acquisition of landslide inventory represents a pivotal challenge in landslide susceptibility mapping. Existing landslide susceptibility maps(LSMs) predominantly rely on manually obtained landslide inventories, leading to an overdependence on expert insights and susceptibilities to topographic and geomorphic influences. In regions characterized by steep terrain, obtaining a landslide inventory can be arduous or even unattainable, subsequently constraining the utility of LSMs. Addressing the limitations of conventional LSMs, this study introduces an innovative method for landslide inventory compilation and LSM creation, utilizing Small Baselines Subset Interferometry Synthetic Aperture Radar(SBAS-InSAR) technology. The study area selected for illustration is the Dongchuan district, notorious for frequent landslide occurrences. The application of SBAS-InSAR facilitated the extraction of surface deformation data, subsequently enabling the selection of landslide deformation points as samples. These samples underwent analysis through a particle swarm optimization-backpropagation neural network(PSO-BPNN) guided by deformation thresholds and the landslide developmental environment. This produced the LSM for the Dongchuan district. Subsequent validation of the LSM employed both qualitative and quantitative measures. Results elucidate that the LSM, as derived from the presented approach, primarily highlights high to very high susceptibility zones in landslide-prone areas, mirroring the spatial distribution of historical landslides. The method also achieved a commendable accuracy(ACC) of 79.59% and an area under the curve(AUC) value of 0.88. Notably, the landslide density exhibited a direct correlation with increasing susceptibility class. Such findings align with previous studies, endorsing the feasibility and reliability of the proposed approach.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 1046-1056"},"PeriodicalIF":6.4,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000972/pdfft?md5=aeaaa454909236fcf016c309fead5fe9&pid=1-s2.0-S1110982323000972-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138439646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of noise immunity of satellite communications under small-scale ionospheric disturbances and time-selective fading of received signals","authors":"V.P. Pashintsev,&nbsp;M.V. Peskov,&nbsp;N.V. Kiselev,&nbsp;D.A. Mikhailov,&nbsp;D.V. Dukhovnyi","doi":"10.1016/j.ejrs.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.002","url":null,"abstract":"<div><p>The article develops a methodology for analyzing the noise immunity of satellite communication systems under small-scale disturbances of the ionosphere, taking into account the possibility of general and time-selective fading of received signals Differential Phase Shift Keying. The refined dependences of the intervals of time and space correlation of fading in the transionospheric radio channel on the parameters of transmitted signals and the state of the ionosphere are obtained. The analytical dependence of the probability of erroneous reception of signals with Differential Phase Shift Keying on the average signal-to-noise ratio at the receiver input, the frequency-time parameters of the signals and the characteristics of small-scale ionospheric inhomogeneities was obtained.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 1036-1045"},"PeriodicalIF":6.4,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S111098232300090X/pdfft?md5=5c8a01167273b67fa0d3a10fc30a4bdd&pid=1-s2.0-S111098232300090X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138413138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of multiple digital elevation models for hypsometric analysis in the watersheds affected by the opening of the Red Sea","authors":"Mohammed I. Khattab ,&nbsp;Abotalib Z. Abotalib ,&nbsp;Abdullah Othman ,&nbsp;Maha K. Selim","doi":"10.1016/j.ejrs.2023.11.011","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.011","url":null,"abstract":"<div><p>Climate change is increasingly affecting the Red Sea-related terrains in Egypt and Saudi Arabia with a notable increase in heavy precipitation events. This highly vulnerable region to flashfloods and other climate change-driven hazards encompasses rough terrains with more than 11,000 basins/subbasins, which necessitates the accurate estimation of their hydrological and geomorphological parameters among which the hypsometric analysis. In this regard, The study examines the accuracy of the hypsometric analysis extracted using open source SRTM-1, ASTER-GDEM, Copernicus-GLO30, ALOS-DEM against high-resolution Topo-1 m and Topo-2.8 m DEMs for Talat Hamdh basin in Egypt and Wadi El-Salwely basin in Saudi Arabia, respectively. Copernicus-GLO30 shows the highest accuracy among all DEMs with the root-mean-squared–error (RMSE), mean elevation error, standard deviation, maximum and minimum absolute errors of 3.03, 2.0, 2.3, 11.7 and 0.1 m, respectively for Talat Hamdh basin. The findings also show that, regardless of the geology and geomorphic evolution of the basin, the hypsometric analysis is sensitive to the DEM type rather than the spatial resolution as Copernicus DEM yields similar basin numbers (a single basin) and area (1.366 and 141.9 km²) compared to the reference DEMs (1.408 and 154.4 km²) for Talat Hamdh and Wadi El-Salwely basins, respectively. Contrariwise, other open source DEMs yield multiple basins and thus significantly smaller basin area. Given the DEM-type dependence of the hypsometric analysis, the study recommends that large-scale hydrological and geomorphological analyses should consider using a high-resolution reference DEM on a local-scale basin to examine the accuracy of open source DEMs prior to conducting the analysis.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 1020-1035"},"PeriodicalIF":6.4,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000996/pdfft?md5=703ad31a255c62747c83eeedb8c50052&pid=1-s2.0-S1110982323000996-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138430676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison and analysis of ground seed detectors and interpolation methods in airborne LiDAR filtering","authors":"Chao Qi ,&nbsp;Xiankun Wang ,&nbsp;Dianpeng Su ,&nbsp;Yadong Guo ,&nbsp;Fanlin Yang","doi":"10.1016/j.ejrs.2023.10.004","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.10.004","url":null,"abstract":"<div><p>Ground seed detectors and interpolation methods are fundamental components of filtering algorithms. However, the performance of different detectors and interpolation methods typically varies, and few studies have been conducted on the adaptability of different detectors and interpolation methods to different terrains. Therefore, we compare three ground seed detectors (cylindrical neighborhood (CN), fixed grid (FG), and moving window (MW)) and three interpolation methods (triangulated irregular network (TIN), thin plate spline (TPS), and inverse distance weighting (IDW)). In addition, nine filters are constructed by combining the three ground seed detectors and the three interpolation methods to evaluate their comprehensive influences. To assess the performance of these detectors, interpolation methods, and filters, fifteen ISPRS-supplied light detection and ranging (LiDAR) benchmark datasets are utilized in the experiment. The findings indicate that the CN-TPS filter, which combines the CN detector and TPS method, achieves superior performance across mean <em>P_g</em> (99.16 % – correctly classified ground points divided by all extracted ground points), RMSE (0.44 m – root mean squared error), and total error (3.78 %). Moreover, the filtering methods are mainly affected by the performance of the ground seed detector and are less affected by the selected interpolation method. These results can be used to provide a valuable reference for designing an optimal LiDAR filtering algorithm for varied terrain types and applications.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 1009-1019"},"PeriodicalIF":6.4,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000868/pdfft?md5=6a08d79ce8909dd9c9d99181122fba69&pid=1-s2.0-S1110982323000868-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138430675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-branch stacking remote sensing image target detection based on YOLOv5","authors":"Luxuan Bian,&nbsp;Bo Li,&nbsp;Jue Wang,&nbsp;Zijun Gao","doi":"10.1016/j.ejrs.2023.11.006","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.006","url":null,"abstract":"<div><p>Optical remote sensing is crucial in land management, maritime safety, and rescue operations. Currently, high resolution target detection faces the problems including feature loss, false detection, and limited network robustness. To tackle the aforementioned issues, this study introduces a novel MBS-NET model, which is built upon the YOLOv5 structure. The proposed model presents a multi-branch stacking module structure to precisely capture deep target feature information. By introducing a dual-channel attention mechanism module (EGCA) at the model's neck, the proposed method ensures discriminative feature acquisition in crowded objects and vast spatial scenes. Prior to network training, introduce an improved data augmentation strategy to accommodate the multi-scale and directional variations in remote sensing objectives for model detection. Experimental results on the large-scale public DIOR dataset demonstrate that the MBS-NET model introduced in this paper displays exceptional performance and remarkable interpretability in remote sensing scenarios at a large scale. MBS-NET model outperforms YOLOv5 and YOLOv7 models by increasing the accuracy by 5% and 2% respectively. In addition, the recall rate and <span><math><msub><mi>F</mi><mn>1</mn></msub></math></span> Score index of MBS-NET model is superior to those of other methods, resulting in significant improvement of detection accuracy and robustness in large scenes.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 999-1008"},"PeriodicalIF":6.4,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000959/pdfft?md5=d0d8bf89a9ff290918cc230989cc390b&pid=1-s2.0-S1110982323000959-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138394864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of three stages of paddy growth using multispectral vegetation index derived from UAV images","authors":"Samera Samsuddin Sah ,&nbsp;Khairul Nizam Abdul Maulud ,&nbsp;Suraya Sharil ,&nbsp;Othman A. Karim ,&nbsp;Biswajeet Pradhan","doi":"10.1016/j.ejrs.2023.11.005","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.005","url":null,"abstract":"<div><p>Paddy cultivation in Malaysia plays a crucial role in food production, with a focus on improving crop quality and quantity. With current national self-sufficiency levels ranging between 67 and 70%, the Malaysian government intends to produce higher-quality crops and boost agricultural production. However, the prominent paddy-producing state of Kedah has witnessed a decline in yields over the years. To address this, the study explores the effectiveness of unmanned aerial vehicles (UAVs) equipped with vegetation indices (VIs) for monitoring paddy plant health at various growth stages. Researchers acquired aerial imagery during two seasons in 2019, capturing three distinct growth stages: tillering (40 days after sowing), flowering (60 days after sowing), and ripening (100 days after sowing). These stages represent critical points in the paddy plant's life cycle. Agisoft Metashape software processed the images to extract VIs data. The study found that the Normalized Difference Vegetation Index (NDVI) and Blue Normalized Difference Vegetation Index (BNDVI) exhibited over 90% similarity. In contrast, the Normalized Difference Red Edge Index (NDRE), utilizing near-infrared and red-edge light reflections, demonstrated a unique relationship. NDRE outperformed NDVI and BNDVI with an R-squared value of 0.842, showcasing its superior accuracy, especially for dense crops like paddy plants sensitive to subtle changes in vegetation. In conclusion, this research highlights the potential of UAV-based VIs for effectively monitoring paddy plant health during different growth stages. The NDRE index, in particular, proves valuable for assessing dense crops, offering insights for precision agriculture and crop management in Malaysia.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 989-998"},"PeriodicalIF":6.4,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000935/pdfft?md5=1a63c7550d8551fff19df629ab46c714&pid=1-s2.0-S1110982323000935-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138394863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Desertification hazards in the middle zone of Wadi Fatimah, West Saudi Arabia” [Egypt. J. Remote Sens. Space Sci. (26) (2023) 491–503]","authors":"Motirh Al-Mutiry ,&nbsp;ElSayed A. Hermas ,&nbsp;Abdullah F. Alqurashi ,&nbsp;Omar Alharbi ,&nbsp;Hassan Khormi ,&nbsp;Saleha Al Khallas","doi":"10.1016/j.ejrs.2023.11.001","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.001","url":null,"abstract":"","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Page 974"},"PeriodicalIF":6.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000893/pdfft?md5=9272e848a2cdf7bc98b5ba73ea501e16&pid=1-s2.0-S1110982323000893-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134656554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying the cooling effect of river and its surrounding land use on local land surface temperature: A case study of Bahe River in Xi’an, China","authors":"Xiaogang Feng,&nbsp;Meng Li,&nbsp;Zaihui Zhou,&nbsp;Fengxia Li,&nbsp;Yuan Wang","doi":"10.1016/j.ejrs.2023.11.004","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.004","url":null,"abstract":"<div><p>Rapid urbanization and unplanned development have posed a threat to the thermal environment in a country like China. The urban heat island (UHI) phenomenon is one of the most serious issues because of its strong relation to thermal comfort, air pollution, and public health. The water bodies, as an important component of the urban ecosystem, are generally considered a vital resource to mitigate the UHI. This study provides direct evidence with the help of satellite observation and field measurement data using the mono-window algorithm, spatial buffer analysis, and linear regression methods to explore how the stream water affects the local temperature variation. The results showed that Land use/cover change (LUCC) and Land surface temperature (LST) on both banks of the Bahe River changed significantly. The LST of the river was significantly massively reduced within the distance range of 300 to 500 m, and 400 to 600 m, with an average temperature dip from 3.7 to 2.8 °C, and from 3.2 to 1.7 °C respectively were during the summer on east and west river banks. In addition, the surrounding LUCC composition and configuration could strongly affect the maximum cooling scale. The results provide insights for urban planners and managers to arrange the LUCC composition between the river design in urban areas and the cooling effect demands.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 975-988"},"PeriodicalIF":6.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000923/pdfft?md5=115be1e09af85608110c056bb24e7de0&pid=1-s2.0-S1110982323000923-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134832774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal control of a small satellite in low earth orbit using phase change materials-based thermal energy storage panel","authors":"Abdelrahman M. Elshaer ,&nbsp;A.M.A. Soliman ,&nbsp;M. Kassab ,&nbsp;Shinsuke Mori ,&nbsp;A.A. Hawwash","doi":"10.1016/j.ejrs.2023.11.007","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.11.007","url":null,"abstract":"<div><p>Thermal control of small satellites in low earth orbit (LEO) is not easy due to the intermittent heating conditions. The satellites in LEO are sometimes present in the illumination zone and other times in the eclipse zone, which imposes difficulties keeping their temperatures within the safe range. The present study investigates a thermal energy storage panel (TESP) integrated with phase change materials (PCM) to control the temperatures of satellite subsystems. The TESP was made of aluminium with outer dimensions of 100 mm long, 71 mm wide, and 25 mm high. The PCMs used were organic-based materials, which were RT 12, RT 22, and RT 31. The TESP was tested under two thermal powers of 11 W and 14 W. These powers are typical of satellite subsystems. The finite volume method was adopted for thermal analysis of the TESP. The significance of this study is that it provides a detailed computational analysis of the TESP for microsatellites' temperature management under typical LEO conditions. The research outcomes show a significant advancement in the thermal managing performance of PCM-based TESP. RT 22 could reduce the highest temperature by 4.7 % and raise the lowest by 9.5 %. It was observed from the analysis that the PCM with intermediary melting temperature provided better thermal control efficiency. RT 12 reported a lower extreme temperature difference (ETD) and could decrease it by 63.9 % relative to the case with no PCM. At the same time, RT 22 reported an ETD of 23 min and could reduce it by 63 % relative to the case with no PCM at 14 W. The present study concluded that PCMs show great potential as a viable approach for effectively thermally managing devices that experience cyclic thermal fluctuations, such as the subsystems of satellites operating in LEO.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 954-965"},"PeriodicalIF":6.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000947/pdfft?md5=ba3745b3f65d64fa1281a8ff12af06ee&pid=1-s2.0-S1110982323000947-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134656465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SinkholeNet: A novel RGB-slope sinkhole dataset and deep weakly-supervised learning framework for sinkhole classification and localization","authors":"Amir Yavariabdi ,&nbsp;Huseyin Kusetogullari ,&nbsp;Osman Orhan ,&nbsp;Esra Uray ,&nbsp;Vahdettin Demir ,&nbsp;Turgay Celik ,&nbsp;Engin Mendi","doi":"10.1016/j.ejrs.2023.10.006","DOIUrl":"https://doi.org/10.1016/j.ejrs.2023.10.006","url":null,"abstract":"<div><p>This paper proposes a novel multimodal deep weakly-supervised learning framework, SinkholeNet, to classify and localize sinkhole(s) in high-resolution RGB-slope aerial images. The SinkholeNet first employs a multimodal Convolutional Neural Network (CNN) architecture that simultaneously extracts features from the input RGB image and ground slope map and then fuses the extracted features. It then uses an improved ShuffleNet architecture on the fused features to classify patches as sinkholes or non-sinkholes. Finally, the last extracted feature maps, belonging to the sinkhole class, are used as input of gradient-weighted class activation mapping (Grad-CAM) to localize sinkhole(s) in a weakly-supervised setting. The proposed weakly-supervised framework intends to increase the available labeled data for training and decrease the cost of human annotation. We also introduce a novel publicly available weakly labeled sinkhole dataset comprising RGB-slope paired image patches to support reproducible research. The experimental results on the newly introduced dataset show that the SinkholeNet outperforms the other methods considered in this paper both for sinkhole classification and localization.</p></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"26 4","pages":"Pages 966-973"},"PeriodicalIF":6.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110982323000881/pdfft?md5=15e3c8612c60e95142a73df87496c65e&pid=1-s2.0-S1110982323000881-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134656462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}