Remote Sensing Applications-Society and Environment最新文献

{"title":"Exploring optimal features and image analysis methods for crop type classification from the perspective of crop landscape heterogeneity","authors":"Chen Chen ,&nbsp;Taifeng Dong ,&nbsp;Zhaohai Wang ,&nbsp;Chen Wang ,&nbsp;Wenyao Song ,&nbsp;Huanxue Zhang","doi":"10.1016/j.rsase.2024.101308","DOIUrl":"10.1016/j.rsase.2024.101308","url":null,"abstract":"<div><p>Agricultural landscape structure (e.g., the shape of fields, crop diversity, and landscape heterogeneity) greatly influences the selection of methods for large-scale crop mapping using remote sensing data. However, in-depth assessments of its impacts on crop mapping remain infrequent in the existing literature. This study investigated the optimal crop identification features and image analysis methods including pixel- and object-based approaches on crop classification, through the integration of spectral and textural features across various quantitative agricultural landscapes. In the experiments, crop fields were initially delineated into four distinct landscapes using the K-means clustering algorithm based on analyzing 13 selected landscape metrics such as PLAND, LSI and SHDI. Both pixel- and object-based approaches were then employed to conduct crop classification was then conducted using 48 selected features including 9 band reflectance, 23 vegetation indices (VIs), and 16 textures) and two image analysis methods. Specifically, five classification schemes for the different combinations of feature datasets and image analysis methods were explored to assess the impacts of crop heterogeneity on crop classification. Results indicated the five landscape metrics (e.g., SPLIT, SHEI, Average distance, etc.) performed best in assessing crop heterogeneity. In general, spectral bands and VIs had a higher contribution in the compositional heterogeneity, while textural features and VIs played a more important role in the configurational heterogeneity. VIs in the object-based approach and texture features in the pixel-based approach can improved crop classification accuracy in configurational landscapes. The findings provide a theoretical basis on selecting optimal features and image analysis methods for crop classification in complex agricultural landscapes.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101308"},"PeriodicalIF":3.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of uncontrolled industrialization on environmental parameter: A case study of Mongla EPZ using machine learning approach","authors":"Faishal Ahmed ,&nbsp;Md Shihab Uddin ,&nbsp;Ovi Ranjan Saha","doi":"10.1016/j.rsase.2024.101307","DOIUrl":"10.1016/j.rsase.2024.101307","url":null,"abstract":"<div><p>Unplanned and uncontrolled industrialization leads to environmental pollution, which ends up impacting human life and destroying the economy. Especially in the era of global warming, coastal regions worldwide are the most vulnerable and hold significant ecological importance for human habitation. In 1998, the establishment of the Mongla Export Processing Zone (MEPZ) in the coastal town of Mongla Thana, which is already famous for its seaport, led the area to the challenges of salinity intrusion and the shrinking of agricultural land and its fertility. Unplanned industrialization in the area causes vegetation loss, severe droughts, and other environmental challenges, threatening local biodiversity and agricultural sustainability. In this paper, the effects of unplanned industrialization inside the Mongla EPZ on the area land surface temperature (LST), normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and urban heat island (UHI) spanning from 2007 to 2023 have been investigated. Along with that, a machine-learning-based artificial neural network (ANN) model was employed to forecast the situation in 2027 and 2031. Our industrial settlement analysis reveals that a substantial rise in industrial building was seen in 2015 in the EPZ area, whereas the EPZ area was almost settlement-free before 2011. With this increase in 2015, above 2% of the total municipal area faced drought, which will become over 30% by 2023. The NDVI values are decreasing year-wise, which reveals that the area is becoming less vegetation-rich. Also, the increasing industrial activities in the EPZ led to an LST increment. Our CA-ANN algorithm-based future prediction shows that about 30% of the whole municipality will face LST 27 °C by 2031. Along with that, the area's UHI value, over 2 °C higher than the rural surrounding area, will reach 6.5% by 2031. Our findings indicate that the municipal area will face a devastating future, including vegetation loss, a high probability of severe drought, and ultimately, environmental degradation. This study will help raising awareness and decision-making process to mitigate the environmental risks and supporting sustainable development.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101307"},"PeriodicalIF":3.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using semi-automated classification algorithms in the context of an ecosystem service assessment applied to a temperate atlantic estuary","authors":"F. Afonso ,&nbsp;C. Ponte Lira ,&nbsp;M.C. Austen ,&nbsp;S. Broszeit ,&nbsp;R. Melo ,&nbsp;R. Nogueira Mendes ,&nbsp;R. Salgado ,&nbsp;A.C. Brito","doi":"10.1016/j.rsase.2024.101306","DOIUrl":"10.1016/j.rsase.2024.101306","url":null,"abstract":"<div><p>The growing anthropogenic pressure near estuarine areas is evidence of the relevance of these systems to human well-being, especially because of their delivery of essential ecosystem services and benefits. Estuaries are composed of a rich large selection of habitats frequently organised in complex patterns. Mapping and further understanding of these habitats can contribute significantly to environmental management and conservation. The main goal of this study was to integrate different data sources to perform a supervised image classification, using remote-sensing products with different spatial resolutions and features. It was focused on the Sado Estuary, located on the Portuguese Atlantic coast. Considering the limitation of using free satellite images to map estuary habitats (i.e. limited spectral range and spatial resolution), this study uses a semi-automated supervised and pixel-based classification to overcome some of the derived classification problems. Support Vector Machine classifier was used to map the estuary for future evaluation of ecosystem services provided by each habitat. High-resolution remote sensing data (i.e., Planet Scope satellite images, aerial photographs) with different spectral and spatial features (3 m and 20 cm resolution, respectively) were used with ground truthing data to train the classifier and validate the derived maps. The first step of the classification identified broader classes of habitats in the satellite images based on visual interpretation of ground-truth data. From this output, aerial images were classified into detailed classes, the same procedure was hindered on the satellite images due to spatial resolution constraints. The sand class had the best overall accuracy (96%), due to its contrasts with surrounding objects. While the vegetation (i.e., pioneer saltmarshes) and algae classes had lower accuracy values (49.6–89.0%), possibly due to being still damp or covered in fine sediment This is a common challenge in transitional systems across land-water interfaces, such as wetlands, where the abiotic conditions (e.g. solar exposure, tides) fluctuate heterogeneously over time and space. The findings presented herein revealed the considerable success of this approach. For the purpose of local decision-making, these are relevant outputs that can be replicated in other regions worldwide.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101306"},"PeriodicalIF":3.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352938524001708/pdfft?md5=3d255c2d7b69892e8d012f4b57656e44&pid=1-s2.0-S2352938524001708-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141851462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shoreline change assessment at Arroio do Sal (Southern Brazil) using different shoreline extraction methods","authors":"Elaine B. de Oliveira,&nbsp;Eduardo G. Barboza","doi":"10.1016/j.rsase.2024.101303","DOIUrl":"10.1016/j.rsase.2024.101303","url":null,"abstract":"<div><p>This research aims to compare different shoreline extraction methods in assessing shoreline variability at Arroio do Sal, Southern Brazil. The methodology included the automatic extraction of shoreline positions by CoastSat and Cassie and the manual vectorization of shorelines using two different shoreline proxies. Digital Shoreline Analysis System was used to compute the shoreline displacement for each extraction method and shoreline mission. The results were compared in terms of rates, uncertainties, and methodologies. The results show that the CoastSat lines are generally displaced towards the land, while Cassie is displaced towards the sea. To concerning shape, Cassie has a more undulating shape and a greater number of indentations, with more exaggerated features, while CoastSat has a more rectilinear line, with smoother indentations next to the washouts. The RMSE values are 8.89 m for CoastSat and 27.27 m for Cassie. Despite the variations in the coastline position between the algorithms, the analyses of the rates of change have similar trends. Both algorithms establish an erosion trend for the Sentinel lines, but with different magnitudes; for the Landsat lines, both algorithms show a stable coastline, with the same average and uncertainty. Arroio do Sal can be considered a stable coastline, with rates of change in the −0.5 m–0.5 m range. Both algorithms were able to determine this general trend.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101303"},"PeriodicalIF":3.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping illegal dumping in Nelson Mandela Bay Metro: A study using image interpretation","authors":"Sean Swanepoel,&nbsp;Danica Marlin","doi":"10.1016/j.rsase.2024.101302","DOIUrl":"10.1016/j.rsase.2024.101302","url":null,"abstract":"<div><p>Illegal dumping is challenging for municipalities to keep track of and clean. There is limited research on the quantity of illegal dumpsites within cities. Through a manual image interpretation technique, this study used aerial imagery to quantify all illegal dumpsites within Nelson Mandela Bay Metro, South Africa. All illegal dumps were marked out in 2015 and 2021 aeroplane aerial imagery at 50 cm and 25 cm GSD, respectively. The total coverage of land surveyed was 1331 km², with an urban area of 308 km². The number of illegal dumpsites increased from 4969 to 7800 (57% increase) between 2015 and 2021. The study also showed the quantity of waste within dumps increased, dumps were spatially clustered and close to urban areas and roads. The technique presented can easily be replicated in other cities to track and monitor illegal dumping.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101302"},"PeriodicalIF":3.8,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141728852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Releasing a dataset of 3D models of artificial reefs from the northern red-sea for 3D printing and virtual reality applications","authors":"Matan Yuval ,&nbsp;Tali Treibitz","doi":"10.1016/j.rsase.2024.101305","DOIUrl":"10.1016/j.rsase.2024.101305","url":null,"abstract":"<div><p>Artificial reefs are anthropogenic structures that are submerged in purpose to mimic some of the attributes of natural reefs. Here we describe our workflow for 3D mapping of artificial reefs, particularly shipwrecks, and release a dataset containing two 3D models of some of the most epic dive sites in Israel. Our goal is to share our 3D models and protocol with the general public and to enable the scientific and recreational community to document artificial reefs in 3D and use the models in 3D visualization and printing applications. We envision that the models will be used by divers and 3D printing enthusiasts, dive operators, Non-Governmental Organizations, and government agencies dealing with underwater monitoring and marine spatial planning.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101305"},"PeriodicalIF":3.8,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141732012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact evaluation of development plans in the Egyptian harbors on morphological changes using numerical simulation (case study: Damietta harbor, northeastern coast of Egypt)","authors":"May R. ElKotby ,&nbsp;Tharwat A. Sarhan ,&nbsp;Mahmoud El-Gamal ,&nbsp;Ali Masria","doi":"10.1016/j.rsase.2024.101301","DOIUrl":"10.1016/j.rsase.2024.101301","url":null,"abstract":"<div><p>The Egyptian government is grappling with the challenge of sedimentation in Damietta Harbor (DH), leading to expensive and recurring dredging operations for safe vessel navigation. This research examined the changes in the region's coastline, both before and after the port was established between 1977 and 1995. The impact of the government's policy to halt backfilling in the navigation lane on adjacent beaches until 2023 was also assessed using remote sensing (RS) and the Digital Shoreline Analysis System (DSAS) program, revealing varying yearly accretion and erosion rates. Following a shoreline movement tracking procedure, in the period from 1985 to 2023, the total areas undergoing erosion and accretion amounted to −1.36 km² and +2.21 km², respectively.</p><p>To address the issue, the research team developed scenarios reflecting regional realities and conducted a numerical simulation using the Coastal Modeling System (CMS). Morphological alterations in the approach channel and pre- and post-port regions were monitored to assess the scenarios. The study also explored how deepening the navigation channel affected the annual sediment volume. Results showed that Scenario 5, involving breakwaters extension and the new western breakwater (NWBW), effectively controlled sediment. However, sedimentation increased with the deepening of the navigation channel. Scenario 7, with a 19 m deepening, exhibited slightly higher sediment volume by 21.75% but stood out for its capacity to handle large vessels. Additionally, the sedimentation in the navigation channel experienced a notable 72.1% decrease in Scenario 8, which portrays the anticipated final state of DH compared to the benchmark case.</p><p>The study noted morphological changes from planned coastal constructions on the eastern side, including detached breakwaters (DBW) and Y-groins (Y-gs). Despite significant development costs, these structures were deemed insufficient to stabilize the shoreline. In summary, the research highlights the complexity of addressing sedimentation in DH, emphasizing the need for nuanced approaches in coastal management, and considering the consequences of deepening navigation channels.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101301"},"PeriodicalIF":3.8,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141636805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MODIS fPAR products do not reflect in-situ conditions in a tropical dry forest based on wavelet and cross-wavelet transforms","authors":"Arturo Sanchez-Azofeifa ,&nbsp;Iain Sharp ,&nbsp;Kayla Stan","doi":"10.1016/j.rsase.2024.101298","DOIUrl":"10.1016/j.rsase.2024.101298","url":null,"abstract":"<div><p>The fraction of Photosynthetically Active Radiation (fPAR) plays a pivotal role in determining the carbon flux in ecosystems. Although the MODIS fPAR product has demonstrated effectiveness in the Northern Hemisphere, its validity still needs to be verified in the context of Tropical Dry Forests (TDFs), which constitute 40% of all tropical forests. This study utilized a Wireless Sensor Network (WSN) to generate an in-situ Green fPAR dataset at the Santa Rosa National Park Environmental Monitoring Supersite, aiming to validate MODIS fPAR products from 2013 to 2017. This study employs a 2-flux fPAR estimation approach for the in-situ dataset, followed by Savitzky–Golay derivative-based smoothing, univariate-wavelet transforms, and cross-wavelet analysis to compare phenological variables between the in-situ and MODIS fPAR datasets. Our findings reveal a significant temporal disparity between the MODIS fPAR products and ground-based data, with MODIS consistently lagging in detecting the onset of green-up or senescence in TDFs by 18–55 days. However, the annual and inter-seasonal patterns were statistically significant (p &lt; 0.05) and replicated in the MODIS and in-situ datasets. Notably, these patterns deviate during extreme water conditions (droughts and hurricanes), with MODIS underestimating the effects of drought and failing to represent hurricane impact. Furthermore, MODIS fPAR products do not effectively capture small-scale fPAR variations and intra-seasonal differences. Therefore, this study underscores the limited accuracy of MODIS fPAR observations in the context of TDFs. Consequently, caution is warranted when relying on MODIS fPAR products to monitor rapid phenological changes in Tropical Dry Forests.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101298"},"PeriodicalIF":3.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352938524001629/pdfft?md5=d4c413d3d4752199e9917ac7d83d157e&pid=1-s2.0-S2352938524001629-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141701872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Respiratory health assessment of outdoor workers exposed to urban air pollution based on satellite observations","authors":"Naglaa Zanaty ,&nbsp;Asmaa Eldesouky Mohamed ,&nbsp;Nashwa Nabil","doi":"10.1016/j.rsase.2024.101292","DOIUrl":"10.1016/j.rsase.2024.101292","url":null,"abstract":"<div><p>Human health impact assessment due to air pollution is critical for evaluating environmental hazards. In this research, levels of three air pollutants (CO, NO₂, and SO₂) were estimated based on satellite data (sentinel-5p) to assess the air quality over three areas (Al-Mahaad Al-Dinni, Bus Stop, and Oil Company areas) at Banha city, Qalyobia in addition to evaluating the human health risks resulting from exposure to these air pollutants. Unlike the conventional approaches for human health risk assessment, which depend on in-situ air pollution measurements, in this study, the spatial distribution of the pollutants was acquired from satellite remote sensing for the period 2021–2022. The respiratory health assessment of 151 outdoor workers, exposed to air pollution in Banha City was conducted. Results showed that the highest concentration of the pollutants was found in areas of Bus Stop and Oil Company. Consequently, the percentage of predicted pulmonary function tests was significantly lower among those working in the Oil company area than those working in the Bus Stop and Al-Mahaad Al-Dinni areas. Additionally, 47.6 % of the studied group complained of nasal congestion and 67.5 % of them complained of wheezing, 30.5% of them had obstructive airway diseases. In conclusion, remotely sensed air quality data proved its efficiency in health impact studies which could be carried out in different regions globally with less cost than traditional measurement techniques. Urban pollution can influence outdoor workers with varied percentages according to their exposure rate to pollutants and work-related factors.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101292"},"PeriodicalIF":3.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141636804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unraveling resilience amidst degradation: Recurring loss of freshwater marshes in the Paraná River Delta, Argentina","authors":"Diego Sebastian Aquino ,&nbsp;Facundo Schivo ,&nbsp;Gregorio Gavier-Pizarro ,&nbsp;Rubén Darío Quintana","doi":"10.1016/j.rsase.2024.101299","DOIUrl":"10.1016/j.rsase.2024.101299","url":null,"abstract":"<div><p>Wetland ecosystems have experienced several ecological and hydrological impacts in recent decades determined by human activities and natural disturbances. The Lower Delta of the Paraná River, one of the most important wetland ecosystems of South America, has seen significant losses in both the structural and functional components of wetland vegetation. These losses promoted not only a widespread conversion of freshwater marshes into grasslands between 1997 and 2013, but also a decline in ecosystem functional diversity between 2001 and 2015. These processes manifested as abrupt shifts in long-term vegetation dynamics, a distorted, transient, spatially heterogeneous relationship with the hydrologic regime, and altered plant communities. However, recent field observations (2015–2023) have partially challenged previous findings and assumptions. Thus, we ask whether previously observed wetland losses are part of a long-term periodic process, rather than a permanent change. To address this question, we studied land use and land cover conversions through an object-based supervised classification of yearly Landsat composites between 1985 and 2023, trained on 935 ground-truth points. To study the spatial and temporal patterns of wetland gain and loss, we implemented an Intensity Analysis (IA), as well as analyses that capture frequency-specific variations and identify significant shifts in linear trends. We produced a total of 39 land cover maps. The IA revealed non-stationarity at all levels of analysis: interval, category, and transition. The study area exhibited resilient patterns through significant and increasingly short-term, periodic dynamics guiding the gain and loss of freshwater marshes. On the opposite, long-term, negative trends depicted an absolute, sustained loss. These contrasting patterns suggest that despite experiencing absolute loss and degradation, wetland ecosystems thrive by exhibiting transient recovery or adaptation mechanisms. Our study unraveled the complexity of wetland ecosystem dynamics, emphasizing how resilience and degradation interplay in the context of land use intensification.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101299"},"PeriodicalIF":3.8,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141705490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}