Egyptian Journal of Remote Sensing and Space Sciences最新文献

Assessing groundwater storage variations in the Volta River Basin combining remote sensing tools and machine learning downscaling techniques 结合遥感工具和机器学习缩尺技术评估伏特河流域地下水储量的变化

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-06-17 DOI: 10.1016/j.ejrs.2025.06.001

Randal Djima Djessou , Xiaoyun Wan , Richard Fiifi Annan , Abdoul-Aziz Bio Sidi D. Bouko

{"title":"Assessing groundwater storage variations in the Volta River Basin combining remote sensing tools and machine learning downscaling techniques","authors":"Randal Djima Djessou , Xiaoyun Wan , Richard Fiifi Annan , Abdoul-Aziz Bio Sidi D. Bouko","doi":"10.1016/j.ejrs.2025.06.001","DOIUrl":"10.1016/j.ejrs.2025.06.001","url":null,"abstract":"<div><div>Water resources, vital for sustaining life and driving socio-economic development globally, face increasing pressure, necessitating accurate monitoring of storage variations. In this study, the water storage changes and its main drivers within the VRB are deeply investigated using remote sensing tools. The Gravity Recovery and Climate Experiment (GRACE) satellite derived terrestrial water storage anomalies (TWSA) is the only tool which vertically integrates all hydrological variables, and is suitable for groundwater storage anomalies (GWSA) changes investigation. The present investigation initially uses the Generalized Three-Corned Hat approach followed by a weighted average to merge four GRACE derived TWSA. Three machine learning techniques including XGBoost, LightGBM and Random Forest are applied to downscale TWSA at a spatial resolution of 0.1°. Results showed that (i) the merged TWSA depicts the lowest uncertainty with a median of 0.94 cm. (ii) The LightGBM model yielded the highest R<sup>2</sup> (0.99) and the lowest rmse (0.69 cm) in test phase. (iii) The LightGBM downscaled product indicated that GWSA increased (0.32 cm/month) over 2002–2022. (iv) The influence of precipitation and evapotranspiration on GWSA appeared to be rather harmless, while the spatial distribution of GWSA and subsurface runoff showed significant positive trend over the pixels connected with dams, reservoirs, and irrigated areas. This suggests that anthropogenic variable is the main driver of GWSA changes within the VRB. (v) Statistically significant positive trends are observed in downscaled GWSA time series and in-situ GWSA measurements.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 3","pages":"Pages 383-394"},"PeriodicalIF":3.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307459","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}

引用次数: 0

Impact of hydrological mass loading using GRACE/GRACE-FO gravity products and GNSS data over Egypt 利用GRACE/GRACE- fo重力产品和GNSS数据对埃及水文质量负荷的影响

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-29 DOI: 10.1016/j.ejrs.2025.05.010

Ahmed Saadon , Basem Elsaka , Mohamed El-Ashquer , Ashraf El-Kotb Mousa , Gamal El-Fiky

{"title":"Impact of hydrological mass loading using GRACE/GRACE-FO gravity products and GNSS data over Egypt","authors":"Ahmed Saadon , Basem Elsaka , Mohamed El-Ashquer , Ashraf El-Kotb Mousa , Gamal El-Fiky","doi":"10.1016/j.ejrs.2025.05.010","DOIUrl":"10.1016/j.ejrs.2025.05.010","url":null,"abstract":"<div><div>This study investigates the impact of hydrological mass loading on the Egyptian Permanent GNSS Network (EPGN) stations. Initially, GRACE and GRACE-FO products are evaluated, resulting in selecting the CSR center’s DDK5 monthly solutions for estimating terrestrial total water storage (TWS) in terms of equivalent water height (EWH). Monthly vertical displacements (VD) rates are calculated using GNSS data from EPGN stations, while TWS in terms of EWH is derived from GRACE/GRACE-FO data and WGHM model at the same locations. The findings from GRACE show that the mean monthly EWH values exhibit a negative trend of −2.36 mm/year from 2002 to 2012, followed by a positive trend of 3.94 mm/year from early 2013 until mid-2017. For GRACE-FO solutions, EWH shows a positive trend of 5.69 mm/year from mid-2018 to early 2024. A comparison of mean monthly EWH variations from GRACE/GRACE-FO and WGHM with GNSS-derived VD demonstrates a negative correlation at most GNSS stations, particularly in areas with significant hydrological signals, such as the Egyptian Delta and Lake Nasser. This emphasizes the impact of hydrological mass changes on these stations. Finally, mean monthly EWHs from GRACE are evaluated against the WGHM over Egypt. In addition, water level heights are compared to the EWHs from GRACE and WGHM at the ABSM station near Lake Nasser. Results show good agreement between EWHs estimated from GRACE and the WGHM over Egypt. At ABSM station, the water level heights of Lake Nasser provide robustness of our findings.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 370-382"},"PeriodicalIF":3.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170212","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}

引用次数: 0

Flood mapping and impact analysis by fusion of remote sensing and open geospatial data: Sindh case study 基于遥感与开放地理空间数据融合的洪水制图与影响分析：信德省案例研究

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-28 DOI: 10.1016/j.ejrs.2025.05.001

Munazza Usmani , Hafiz Muhammad Tayyab Bhatti , Riccardo Nanni , Francesca Bovolo , Maurizio Napolitano

{"title":"Flood mapping and impact analysis by fusion of remote sensing and open geospatial data: Sindh case study","authors":"Munazza Usmani , Hafiz Muhammad Tayyab Bhatti , Riccardo Nanni , Francesca Bovolo , Maurizio Napolitano","doi":"10.1016/j.ejrs.2025.05.001","DOIUrl":"10.1016/j.ejrs.2025.05.001","url":null,"abstract":"<div><div>Flooding remains one of the most severe natural hazards in Pakistan, consistently leading to substantial losses in lives, livelihoods, and infrastructure. The country has experienced recurring flood events, with their frequency and intensity increasingly influenced by shifting climate patterns and irregular rainfall. The phenomena got worse over time and in 2022 all provinces of the country were severely impacted. The damage and impact of a flood may be detected, determined, and estimated with the use of remote sensing and available open geographic information system data. This study presents a scalable, efficient flood mapping framework that leverages freely available multi-source satellite data and open geospatial datasets to assess flood impact with high spatial detail. Multisource satellite imagery was utilized to detect inundation extents. Pre-processing of the remote sensing data was conducted using Google Earth Engine, and spatial integration of data layers for flood mapping was performed in ArcGIS. The results demonstrate that the 2022 Pakistan flood was the worst environmental disaster in history. The flood submerged a total area of nearly 25,000 km<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> in the Sindh province, destroying 14,558 villages and leaving behind a trail of devastation. The methodology enables rapid, repeatable, and cost-effective flood damage assessment and is transferable to other regions. By combining cloud-based processing with open data, this framework supports timely decision-making for disaster response, prevention, and policy planning.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 357-369"},"PeriodicalIF":3.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154380","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}

引用次数: 0

Integrated point-line-network model for road extraction based on tree-shaped point process 基于树形点过程的道路提取综合点-线-网模型

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-27 DOI: 10.1016/j.ejrs.2025.05.009

You Wu , Chen Wang

{"title":"Integrated point-line-network model for road extraction based on tree-shaped point process","authors":"You Wu , Chen Wang","doi":"10.1016/j.ejrs.2025.05.009","DOIUrl":"10.1016/j.ejrs.2025.05.009","url":null,"abstract":"<div><div>Unsupervised road extraction methods based on traditional point processes have long faced challenges such as bottlenecks in processing efficiency and deficiencies in topological connectivity. To improve these drawbacks, this study proposes a new integrated modeling framework. First step is to construct the integrated point-line-network model based on the tree-shaped point process, in which the relationships between point, line and network are supposed to be constrained according to topological structure features like branching, trend, connectivity of road. In second step, integrated point-line-network model is further constrained by spectral Gaussian mixture model and Kullback-Leibler divergence of road, and then extraction model is obtained. Third step is to redesign transfer kernels of Reversible Jump Markov Chain Monte Carlo (RJMCMC) for simulation and optimization of road extraction. Finally, different scales of sub-meter-level remote sensing images are tested, and the results show that efficiency of the proposed method is higher than traditional methods, and the connectivity is well maintained.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 348-356"},"PeriodicalIF":3.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154379","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}

引用次数: 0

GNSS geodetic velocity prediction using ensemble tree models in Abu-Dabbab, Egypt 利用集合树模型在埃及阿布达巴布进行GNSS大地测速预测

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-21 DOI: 10.1016/j.ejrs.2025.05.008

Alshimaa Y. Abo Gharbia , Ahmed Gomaa , Mohamed Saleh , Ashraf Elkutb Mousa , Ibrahim Atiatallah Abbas , Moatamad R. Hassan

{"title":"GNSS geodetic velocity prediction using ensemble tree models in Abu-Dabbab, Egypt","authors":"Alshimaa Y. Abo Gharbia , Ahmed Gomaa , Mohamed Saleh , Ashraf Elkutb Mousa , Ibrahim Atiatallah Abbas , Moatamad R. Hassan","doi":"10.1016/j.ejrs.2025.05.008","DOIUrl":"10.1016/j.ejrs.2025.05.008","url":null,"abstract":"<div><div>Estimating Global Navigation Satellite System (GNSS) velocities is essential for understanding crustal deformation and motion. This work employs the Random Forest (RF) and Gradient Boosting Machines (GBM), two machine learning (ML) techniques, to estimate horizontal velocities at specific locations using GNSS data. Crustal deformation data were acquired through Global Positioning System (GPS) techniques, with positions of eleven stations determined from eight GPS measurement campaigns. Eighty percent of the GNSS velocity data from stations in the Abu-Dabbab region were used for training, while twenty percent were reserved for testing the models. RF demonstrated superior performance in estimating east geodetic GPS velocities with the lowest mean absolute error (MAE), while GBM excelled in predicting north geodetic GPS velocities, also achieving the lowest MAE. The maximum differences between model-predicted and reference velocities were 0.09 mm/year for RF and 0.1 mm/year for GBM, underscoring the precision of these methods. Despite data constraints the study confirms the efficacy of ML techniques, particularly RF and GBM, in providing accurate GNSS velocity estimates.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 337-347"},"PeriodicalIF":3.7,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106304","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}

引用次数: 0

Enhancing motion compensation in spaceborne SAR imaging 增强星载SAR成像中的运动补偿

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-16 DOI: 10.1016/j.ejrs.2025.05.005

Shimaa Abd El-Monem , Ahmed Azouz , Alaaeldin S. Hassan , El-Sayed Soliman A. Said , Abdelhady A. Ammar

{"title":"Enhancing motion compensation in spaceborne SAR imaging","authors":"Shimaa Abd El-Monem , Ahmed Azouz , Alaaeldin S. Hassan , El-Sayed Soliman A. Said , Abdelhady A. Ammar","doi":"10.1016/j.ejrs.2025.05.005","DOIUrl":"10.1016/j.ejrs.2025.05.005","url":null,"abstract":"<div><div>Synthetic Aperture Radar (SAR) is a widely utilized remote sensing technology, offering robust operational efficiency under all weather conditions and independent of daylight. Ideally, the SAR platform maintains a linear trajectory at a constant altitude and velocity. However, this idealization is compromised for spaceborne SAR systems, such as those in low Earth orbit (LEO), due to the satellite’s elliptical orbit, which introduces motion errors that degrade image focusing quality. This paper presents a novel approach to enhance first-order motion compensation (MOCO) by addressing the motion errors caused by elliptical orbital dynamics and perturbations. The proposed methodology involves applying three distinct fitting techniques to the invariant range error, a critical parameter in first-order MOCO, and optimizing phase gradients to determine the optimal coefficients for improving image quality metrics. Real-raw SAR data from the Sentinel-1 Level-0 dataset is processed to validate the proposed techniques, and the results are benchmarked against the corresponding Sentinel-1 Level-1 Single Look Complex (SLC) image. The validation is conducted through two approaches: first, image quality assessment using sharpness, contrast, and entropy metrics; and second, quantitative evaluation of azimuth-integrated sidelobe ratio (AISLR), azimuth peak sidelobe ratio (APSLR), and impulse response width (IRW) at two prominent reflective points. The findings indicate a marked enhancement in the image quality parameters, demonstrating the efficacy of the proposed motion compensation and optimization framework.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 322-336"},"PeriodicalIF":3.7,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069842","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}

引用次数: 0

Employing both full and partial sub-pixel mapping methods to delineate hydrothermal alteration zones associated with porphyry copper deposits 采用全亚像素和部分亚像素填图方法圈定了与斑岩铜矿相关的热液蚀变带

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-15 DOI: 10.1016/j.ejrs.2025.05.007

Yousef Bahrami, Hossein Hassani, Abbas Maghsoudi

{"title":"Employing both full and partial sub-pixel mapping methods to delineate hydrothermal alteration zones associated with porphyry copper deposits","authors":"Yousef Bahrami, Hossein Hassani, Abbas Maghsoudi","doi":"10.1016/j.ejrs.2025.05.007","DOIUrl":"10.1016/j.ejrs.2025.05.007","url":null,"abstract":"<div><div>The southeastern portion of the Urumieh–Dokhtar magmatic arc (UDMA), known as Kerman Cenozoic magmatic arc (KCMA), is a major host to world-class giant to subeconomic small porphyry copper deposits (PCDs) in Iran. As the KCMA is characterized by well-exposed rocks and sparsely vegetated surfaces, it is an intriguing region for geological remote sensing studies. In particular, mixed pixels are a key source of annoyance in traditional image classification because of a sensor’s immediate field of view restriction and the variety of land cover classes. By evaluating the observed spectrum of mixed pixels, sub-pixel mapping techniques can decompose each mixed pixel and determine the proportion of each component class, and so a classification map with a finer resolution is attainable. This paper endeavors to assess the capability and accuracy of linear spectral unmixing (LSU), multiple endmember spectral mixture analysis (MESMA), and mixture tuned target constrained interference minimized filter analysis (MTTCIMF) to investigate how well these sub-pixel algorithms could identify and map key hydrothermal alteration zones linked with PCDs in the Pariz–Chahargonbad area. Previous works have applied these algorithms widely to hyperspectral data, but few previous works have applied them to multispectral data such as ASTER. In this work, these algorithms were found helpful in the accurate identification of argillic, phyllic, and propylitic alteration zones per validation with field observations, petrographic studies and X-ray diffraction analysis of rock samples.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 303-321"},"PeriodicalIF":3.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069841","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}

引用次数: 0

Examining social disparities in urban heat exposure in New Orleans, US

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-14 DOI: 10.1016/j.ejrs.2025.05.006

Juthi Rani Mitra , Md Sariful Islam

{"title":"Examining social disparities in urban heat exposure in New Orleans, US","authors":"Juthi Rani Mitra , Md Sariful Islam","doi":"10.1016/j.ejrs.2025.05.006","DOIUrl":"10.1016/j.ejrs.2025.05.006","url":null,"abstract":"<div><div>The urban heat island (UHI) effect is a major concern in large cities, particularly as many cities have experienced extended heatwaves in recent years. This study focuses on disparities in urban heat exposure within the city of New Orleans. Using multitemporal Landsat imagery, this research developed an Urban Heat Risk Index (UHRI) at the block group level. In addition to satellite imagery, this study incorporated socioeconomic and demographic data from the American Community Survey (ACS). To examine the relationship between UHRI and explanatory variables, a spatial lag model was applied with the maximum likelihood (ML) estimation method. The analysis revealed a positive and significant association between UHRI and population density. In contrast, the median household income, the percentage of the population aged five and under, the percentage of owner-occupied homes, and the percentage receiving cash public assistance or food stamps all exhibited a negative and significant relationship with UHRI. This study highlights significant disparities in heat exposure among different socioeconomic groups, with important implications for urban planning and public health. By identifying neighborhoods at higher risk for extreme heat, the findings can inform strategies to reduce vulnerability to heat stress, promote equitable access to green spaces, and guide policies for environmental justice. These insights can support city planners, policymakers, and community leaders in developing interventions that prioritize the needs of vulnerable populations, fostering a more resilient and just urban environment.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 295-302"},"PeriodicalIF":3.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941532","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}

引用次数: 0

Remote sensing techniques for mapping hydrothermal alteration zones of volcanogenic massive sulfide deposits in Red Sea Hills, NE Sudan 苏丹东北部红海山火山块状硫化物矿床热液蚀变带遥感制图技术

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-10 DOI: 10.1016/j.ejrs.2025.05.003

Musa M.M. Mina , Ahmed A.A. Osman , Mohammed A.M. Alnour , Rowida A.M. Abdalla , Khalid A.E. Zeinelabdein , Samia Abdelrahman , Hassan K.E. Elawad , Gábor Kovács , Gabriella B. Kiss

{"title":"Remote sensing techniques for mapping hydrothermal alteration zones of volcanogenic massive sulfide deposits in Red Sea Hills, NE Sudan","authors":"Musa M.M. Mina , Ahmed A.A. Osman , Mohammed A.M. Alnour , Rowida A.M. Abdalla , Khalid A.E. Zeinelabdein , Samia Abdelrahman , Hassan K.E. Elawad , Gábor Kovács , Gabriella B. Kiss","doi":"10.1016/j.ejrs.2025.05.003","DOIUrl":"10.1016/j.ejrs.2025.05.003","url":null,"abstract":"<div><div>The area of our research lies in the Red Sea Hills region in NE Sudan and occupies a central position in the Nubian part of the late Proterozoic Nubian-Arabian Shield. The Red Sea Hills have received considerable studies in structural and remote sensing aspects in the past decades. Most of the studies were conducted to understand the structural evolution and the tectonic development of the Nubian-Arabian Shield in northeast Sudan. However, the link between the structural elements and the mineralization in the area is not well established, and in several parts of the region the identification of mineral deposits is also not well known. Therefore, the present study deals mainly with the determination of mineralization zones and highlights the structural elements of the study area. The processing of Landsat 8 OLI images has included different methods such as band rationing, density slicing, and featured oriented principal component analysis. These methods allowed us to identify the zones of hydrothermal alteration, which could be associated with ore mineralization within the study area. These mapped alteration zones were verified with the aid of the obtained field and geochemical data. Interpretation of the detailed geochemical data set of the study area revealed the presence of Au/Cu/Zn anomalies at most of the perspective locations outlined in the hydrothermal composite map, uniquely supporting the usefulness of remote sensing methods. The structural analysis of the brittle deformation manifestations revealed that the NE–SW fracture system represents the main controlling factor on the occurrence of the mineralization in our research area.</div></div>","PeriodicalId":48539,"journal":{"name":"Egyptian Journal of Remote Sensing and Space Sciences","volume":"28 2","pages":"Pages 280-294"},"PeriodicalIF":3.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927431","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}

引用次数: 0

A q-learning approach for enhanced routing in dynamic LEO satellite networks 动态LEO卫星网络中增强路由的q-学习方法

IF 3.7 3区地球科学

Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2025-05-09 DOI: 10.1016/j.ejrs.2025.05.002

Ahmed E. Riyad , Medhat Mokhtar , Mohamed A. Belal , Mahmoud Mohamed Bahloul

引用次数: 0