Applied Geomatics最新文献

{"title":"Acute interstitial pneumonia image enhancement using fuzzy partial transforms","authors":"Shaymaa Maki Kadham","doi":"10.1007/s12518-023-00509-8","DOIUrl":"https://doi.org/10.1007/s12518-023-00509-8","url":null,"abstract":"","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81037957","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":"Integration, harmonization, and processing of geomatic data for bridge health assessment: the Lastra a Signa case study","authors":"Francesco Mugnai,&nbsp;Valentina Bonora,&nbsp;Grazia Tucci","doi":"10.1007/s12518-023-00510-1","DOIUrl":"10.1007/s12518-023-00510-1","url":null,"abstract":"<div><p>A visual inspection, which entails field surveying, such as photodocumentation and footage, is the first step of a multi-level approach to bridge health assessment. Furthermore, the use of surface models, CAD drawings, and orthophotos, guarantees complete and accurate documentation, thus allowing for a better understanding of the environment, the anthropic structures, and their relationships. All the georeferenced surveys’ outputs are especially advisable within a prespective of periodical monitoring, as forseen by national legislation. The work is aimed to study two adjacent bridges over the Arno River in Lastra a Signa, Italy. One of the bridges, Ponte nuovo sull’Arno, is an overpass for motor vehicles. The other one, which is called Passarella sull’Arno, is a pedestrian viaduct. A topographic reference network has been settled using the GNSS survey technique. 3D point clouds of the bridges have been acquired by performing a Laser Scanning survey. A bathymetric survey has been carried out to acquire a 3D point cloud of submerged bridges’ parts and the riverbed. Through a Photogrammetric survey from RPAS, an orthophoto of the area has been built. Finally, evidence of historical submerged bridge structures has been identified thanks to the multi beam survey. The work’s objective is to integrate surveying geomatics techniques to create a reliable survey of the bridges, the surrounding area, and the riverbed, as support to the most common structural health assessment methods.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-023-00510-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50007255","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":"Combining terrestrial, marine, and satellite gravity data to compute gravity potential values at IHRF stations","authors":"Leticia Cristina Ribeiro,&nbsp;Gabriel do Nascimento Guimarães,&nbsp;Giuliano Sant’Anna Marotta","doi":"10.1007/s12518-023-00507-w","DOIUrl":"10.1007/s12518-023-00507-w","url":null,"abstract":"<div><p>In 2015, the International Association of Geodesy published a resolution on the International Height Reference System definition. It is defined that the vertical coordinate must be given in geopotential number and that the realization of this system must be done considering gravity values arranged homogeneously around the stations. However, it should be regarded that for the stations that are located on the coast. This fact can cause a loss in accuracy in determining the potential gravity. Until now, the studies consider only global gravity models, coming from satellite gravity missions to complement the data in the oceanic region and not considering high-frequency components of the gravity field measured at the surface. Consequently, this research considered shipboard-measured marine gravity data integrated with global marine gravity model data derived from altimetric satellites (DTU17 and GRAV31.1) to compute the gravity potential for the two coastal stations that are part of the International Height Reference Frame (IHRF) in Brazil, CEFT and IMBT stations. The gravity potential was computed following the standardization determinations for the IHRF, and the results showed that the marine gravity data incorporated into the computation did not contribute to accuracy.\u0000</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50052316","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":"Advancing Erosion Control Analysis: A Comparative Study of Terrestrial Laser Scanning (TLS) and Robotic Total Station Techniques for Sediment Barrier Retention Measurement","authors":"Junshan Liu, R. Bugg, Cort W. Fisher","doi":"10.3390/geomatics3020019","DOIUrl":"https://doi.org/10.3390/geomatics3020019","url":null,"abstract":"Sediment Barriers (SBs) are crucial for effective erosion control, and understanding their capacities and limitations is essential for environmental protection. This study compares the accuracy and effectiveness of Terrestrial Laser Scanning (TLS) and Robotic Total Station (RTS) techniques for quantifying sediment retention in SBs. To achieve this, erosion tests were conducted in a full-scale testing apparatus with TLS and RTS methods to collect morphological data of sediment retention surfaces before and after each experiment. The acquired datasets were processed and integrated into a Building Information Modeling (BIM) platform to create Digital Elevation Models (DEMs). These were then used to calculate the volume of accumulated sediment upstream of the SB system. The results indicated that TLS and RTS techniques could effectively measure sediment retention in a full-scale testing environment. However, TLS proved to be more accurate, exhibiting a standard deviation of 0.41 ft3 in contrast to 1.94 ft3 for RTS and more efficient, requiring approximately 15% to 50% less time per test than RTS. The main conclusions of this study highlight the benefits of using TLS over RTS for sediment retention measurement and provide valuable insights for improving erosion control strategies and sediment barrier design.","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89590342","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":"Time-series analysis of MODIS (LST and NDVI) and TRMM rainfall for drought assessment over India","authors":"P. Thanabalan,&nbsp;R. Vidhya,&nbsp;R. S. Kankara,&nbsp;R. Manonmani","doi":"10.1007/s12518-023-00505-y","DOIUrl":"10.1007/s12518-023-00505-y","url":null,"abstract":"<div><h2>Abstract\u0000</h2><div><p>In this study, an attempt has been made using rainfall, LST, and NDVI combination of LSNR model which is used to infer drought condition in different monsoon period and to predict the seasonal changes of drought condition. The Indian monsoon pattern with different seasonal changes has been studied for the year 2009 to 2013 using optical and passive remote sensing data, and cross correlation with different time lag is carried out. The cross correlation between LST and NDVI time-lag deviation responses describe that May month LST having influence with September NDVI (90 days before onset) in other words 2–3 months. The correlation performed with a combination of rainfall and NDVI are not at significant level. The passive Advanced Microwave Scanning Radiometer (AMSR-E) derived soil moisture data also clearly examined the drought and normal years, as the soil moisture is highly sensitive to rainfall and temperature to assess drought condition. The relationship between Tropical Rainfall Meteorological Mission (TRMM) rainfall records is compared with observed Indian Meteorological Department (IMD) datasets for the same time period to confirm the drought severity. This will help in being prepared for the drought condition well before it actually sets in and is useful for planner in agricultural operations.</p></div></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50046205","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 Invasive Herbaceous Plant Species with Sentinel-2 Satellite Imagery: Echium plantagineum in a Mediterranean Shrubland as a Case Study","authors":"P. Duncan, E. Podest, K. Esler, S. Geerts, C. Lyons","doi":"10.3390/geomatics3020018","DOIUrl":"https://doi.org/10.3390/geomatics3020018","url":null,"abstract":"Invasive alien plants (IAPs) pose a serious threat to biodiversity, agriculture, health, and economies globally. Accurate mapping of IAPs is crucial for their management, to mitigate their impacts and prevent further spread where possible. Remote sensing has become a valuable tool in detecting IAPs, especially with freely available data such as Sentinel-2 satellite imagery. Yet, remote sensing methods to map herbaceous IAPs, which tend to be more difficult to detect, particularly in shrubland Mediterranean-type ecosystems, are still limited. There is a growing need to detect herbaceous IAPs at a large scale for monitoring and management; however, for countries or organizations with limited budgets, this is often not feasible. To address this, we aimed to develop a classification methodology based on optical satellite data to map herbaceous IAP’s using Echium plantagineum as a case study in the Fynbos Biome of South Africa. We investigate the use of freely available Sentinel-2 data, use the robust non-parametric classifier Random Forest, and identify the most important variables in the classification, all within the cloud-based platform, Google Earth Engine. Findings reveal the importance of the shortwave infrared and red-edge parts of the spectrum and the importance of including vegetation indices in the classification for discriminating E. plantagineum. Here, we demonstrate the potential of Sentinel-2 data, the Random Forest classifier, and Google Earth Engine for mapping herbaceous IAPs in Mediterranean ecosystems.","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72713386","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":"High-Resolution Mapping of Seasonal Crop Pattern Using Sentinel Imagery in Mountainous Region of Nepal: A Semi-Automatic Approach","authors":"Bhogendra Mishra, Rupesh Bhandari, K. P. Bhandari, Dinesh Mani Bhandari, Nirajan Luintel, Ashok Dahal, Shobha Poudel","doi":"10.3390/geomatics3020017","DOIUrl":"https://doi.org/10.3390/geomatics3020017","url":null,"abstract":"Sustainable agricultural management requires knowledge of where and when crops are grown, what they are, and for how long. However, such information is not yet available in Nepal. Remote sensing coupled with farmers’ knowledge offers a solution to fill this gap. In this study, we created a high-resolution (10 m) seasonal crop map and cropping pattern in a mountainous area of Nepal through a semi-automatic workflow using Sentinel-2 A/B time-series images coupled with farmer knowledge. We identified agricultural areas through iterative self-organizing data clustering of Sentinel imagery and topographic information using a digital elevation model automatically. This agricultural area was analyzed to develop crop calendars and to track seasonal crop dynamics using rule-based methods. Finally, we computed a pixel-level crop-intensity map. In the end our results were compared to ground-truth data collected in the field and published crop calendars, with an overall accuracy of 88% and kappa coefficient of 0.83. We found variations in crop intensity and seasonal crop extension across the study area, with higher intensity in plain areas with irrigation facilities and longer fallow cycles in dry and hilly regions. The semi-automatic workflow was successfully implemented in the heterogeneous topography and is applicable to the diverse topography of the entire country, providing crucial information for mapping and monitoring crops that is very useful for the formulation of strategic agricultural plans and food security in Nepal.","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91391434","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":"Combined adjustment of GNSS observation results and slit meter measurements for the displacement detection at the Dniester HPP dam","authors":"Kornyliy Tretyak,&nbsp;Oleksandr Zayats,&nbsp;Oleksandr Hrabovyi","doi":"10.1007/s12518-023-00502-1","DOIUrl":"10.1007/s12518-023-00502-1","url":null,"abstract":"<div><p>The paper considers the combined adjustment problem both of GNSS and geotechnical sensor (slit meter) measurements to detect the deformations at large engineering structures. The study offers mathematical apparatus and formulates the basic restrictions for combined processing of geodetic and geotechnical data. A preliminary assessment indicates a significant improvement in the displacement detection accuracy (up to 1 mm in planar and vertical direction). The approbation of the proposed method was performed using time series of measurements of GNSS receivers and slit meters located on the Dniester hydroelectric power plant (HPP) dam for the period from 2017 to 2019. Gross errors were excluded before processing from all the time series of observations in the semi-automatic mode using a specially designed filter. Additionally, the high-frequency noise was removed by low-pass filter (period 0.2 years). The analysis of obtained adjustment results proved the effectiveness of the proposed method. However, a number of shortcomings were identified, related to non-compliance with the main restrictions: systematic errors in the input data, lack of strict parallelism of slit meters axis to the coordinates axis of local reference system, and violation of monolithic conditions of separate blocks of the objects where slit meters are installed.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-023-00502-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50009071","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":"Closed-form solution to point- and plane-based co-registration of terrestrial LiDAR point clouds","authors":"Elizeu Martins de Oliveira Jr.,&nbsp;Daniel Rodrigues dos Santos","doi":"10.1007/s12518-023-00498-8","DOIUrl":"10.1007/s12518-023-00498-8","url":null,"abstract":"<div><p>Co-registration is required when the alignment of two or more point clouds obtained for mapping natural and built environments is needed. While closed-form solutions are suitable for co-registration, most of the existing approaches rely on unit quaternion solutions for the estimation of transformation parameters from point or plane correspondences. This paper presents a novel co-registration of terrestrial light detection and ranging point clouds solution to create globally consistent 3-D environments. Our method exploits the advantages of the dual quaternion solution combining both points and plane correspondences. The role of our relaxation labeling technique in 3-D matching (3PRL) is investigated, and its efficiency to find the best plane correspondences is shown. The paper also presents a method to treat degenerate plane configurations with corresponding virtual points. Experimental results reveal that our 3PRL technique can update and improve the 3-D matching probabilities using binary relations. At the same time, the proposed dual quaternions point- and plane-based optimization indicated that the mathematical optimization might represent a valid model for co-registration of point clouds. A closer inspection of co-registration accuracy revealed that the translation and rotation error mean decreased drastically, with margins between 0.10 m and 0.17 m and 0.01° and 0.33°, respectively. Experiments have shown that our method generally achieves better results than existing methods.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49996613","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":"Use of time series Sentinel-1 and Sentinel-2 image for rice crop inventory in parts of Bangladesh","authors":"Md. Abdullah Aziz,&nbsp;Dipanwita Haldar,&nbsp;Abhishek Danodia,&nbsp;Prakash Chauhan","doi":"10.1007/s12518-023-00501-2","DOIUrl":"10.1007/s12518-023-00501-2","url":null,"abstract":"<div><h2>Abstract  </h2><div><p>Synergistic use of satellite data has an advantage over single-source data as optical, thermal, and microwave datasets. Previous studies have demonstrated the efficacy and focused mainly on the edge of the multisensory data over the stand-alone system due to primarily multi-dimension input. Crop classification and crop type mapping is the first step in the natural resource management theme, especially in agriculture. During the rainy season, accurate crop classification with crop-cultivar type mapping is the most challenging target to achieve using optical datasets. Therefore, the study’s prime focus was to extract the temporal signature of rice crop types from multi-temporal SAR datasets and classify various rice crop types based on sowing timing in the dominant production zone of rice, the Jashore district of Bangladesh. Sentinel-1 datasets were used primarily for the rainy season from July to September 2018; in addition, Sentinel-2 data of October was used to understand the relationships among these datasets. The temporal signature of various types of rice and others features was interpreted. Besides, the correlation between Sentinel-1 backscatter with Sentinel-2 derived indices has been exercised to find out a comprehensive framework for selection of optical vegetation indices which may be used as a proxy of SAR or vice-versa. The classified image from Sentinel-2 has around 80% overall accuracy, and 0.71 value of kappa coefficient for rice crop type mapping was comparable to SAR (about 80% for late sown crop and slightly less for the other 2 classes); class accuracy of the rice crop is 88–90% using three-date dual-polarized data. The latter’s advantage is early estimate availability during the initial crop phase when optical data is not available. Three types of rice were observed to be cultivated; these are early transplanted rice, late transplanted rice, and very late transplanted rice; among them, late transplanted rice covered a large area, and early transplanted rice covered lesser areas during the session. Sentinel-2 derived spectral indices have a higher correlation with very late rice crop type for VV backscatter than early (where the response in VH was significant probably after saturation in VV response due to matured crop) and late rice crop types. Understanding the micro and macro-scale crop structure from a multisource- remote-sensing perspective builds novelty in this research.</p></div></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-023-00501-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50055626","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}