scholarly journals REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 461-468 ◽  
Author(s):  
P. D’Aranno ◽  
A. Di Benedetto ◽  
M. Fiani ◽  
M. Marsella
Keyword(s):  
Remote Sensing ◽  
Structural Characteristics ◽  
Methodological Approach ◽  
Laser Scanner ◽  
3D Models ◽  
Remote Sensing Technique ◽  
Safety Condition ◽  
Dense Point ◽  
Remote Sensing Techniques ◽  
Monitoring Technologies

<p><strong>Abstract.</strong> The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome.</p>

scholarly journals Investigation of the Effect of Electromagnetic Radiation on Human Health Using Remote Sensing Technique

2021 ◽  
Vol 11 (1) ◽  
pp. 117-122
Author(s):  
Mohammed Mejbel Salih
Keyword(s):  
Remote Sensing ◽  
Electromagnetic Radiation ◽  
Human Health ◽  
Mobile Phones ◽  
Social Life ◽  
Measuring Device ◽  
Remote Sensing Technique ◽  
Negative Side Effects ◽  
Remote Sensing Techniques ◽  
Effects Of Radiation

In the previous two decades, there has been a rapid and remarkable development in the field of communication technologies to encompass many joints of social life, especially devices for daily use, from mobile phones to laptops, to microwave transmitting and receiving towers, in addition to electromagnetic induction furnaces. This puts us in the fact that we are currently inside a multi-spectrum electromagnetic cloud. In this research, the effect of exposure to electromagnetic radiation and checking the negative side effects on the human body was studied through the use of remote sensing techniques, an electromagnetic radiation intensity measuring device for some devices circulating daily with humans, i.e. mobile phones, to assess the effect of this radiation emitted on human health. The study adopts elementary standards to determine the value of the radioactive energy and its effect on human organs after taking samples from cell phones. In addition, the results show that the effects of radiation depend on depends on the time of exposure.

scholarly journals Ground-based remote-sensing techniques for diagnosis of the current state and recent evolution of the Monte Perdido Glacier, Spanish Pyrenees

2018 ◽  
Vol 65 (249) ◽  
pp. 85-100 ◽  
Author(s):  
J. I. LÓPEZ-MORENO ◽  
E. ALONSO-GONZÁLEZ ◽  
O. MONSERRAT ◽  
L. M. DEL RÍO ◽  
J. OTERO ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Ground Penetrating Radar ◽  
Laser Scanner ◽  
Ice Thickness ◽  
Terrestrial Laser Scanner ◽  
Glacier Surface ◽  
Current State ◽  
Spanish Pyrenees ◽  
Remote Sensing Techniques ◽  
Ground Penetrating

ABSTRACTThis work combines very detailed measurements from terrestrial laser scanner (TLS), ground-based interferometry radar (GB-SAR) and ground-penetrating radar (GPR) to diagnose current conditions and to analyse the recent evolution of the Monte Perdido Glacier in the Spanish Pyrenees from 2011 to 2017. Thus, this is currently one of the best monitored small glacier (<0.5 km2) worldwide. The evolution of the glacier surface was surveyed with a TLS evidencing an important decline of 6.1 ± 0.3 m on average, with ice losses mainly concentrated over 3 years (2012, 2015 and 2017). Ice loss is unevenly distributed throughout the study period, with 10–15 m thinning in some areas while unchanged areas in others. GB-SAR revealed that areas with higher ice losses are those that are currently with no or very low ice motion. In contrast, sectors located beneath the areas with less ice loss are those that still exhibit noticeable ice movement (average 2–4.5 cm d─1 in summer, and annual movement of 9.98 ma─1 from ablation stakes data). GPR informed that ice thickness was generally <30 m, though locally 30–50 m. Glacier thinning is still accelerating and will lead to extinction of the glacier over the next 50 years.

scholarly journals Spectral Band Optical Analysis for Shape and Material of Terrestrial Imaging by Using Remote Sensing Technique

2018 ◽  
Vol 3 (5) ◽  
pp. 52
Author(s):  
Safaa Mustafa Hameed ◽  
Abdulrazak A. S. Mohammed
Keyword(s):  
Remote Sensing ◽  
Spectral Band ◽  
Satellite Image ◽  
Processing System ◽  
Physical Test ◽  
Remote Sensing Technique ◽  
Gate Structure ◽  
Ancient City ◽  
Remote Sensing Techniques ◽  
Transmission And Absorption

Photogrammetric grid is the generation of processing system (which is one of the remote sensing techniques) with efficiency developed based on imaging and computer cluster parallel processing; the new application of photogrammetric technique has been applied on the Castel-Gate of Erbil city. It is a way of analyzing the objects especially for a traditional one "the castle in the ancient city of Erbil". This paper got the analysis of Erbil Castel-Gate structure using visible & IR spectral band analysis for transmission and absorption energy (El ) based on civil study, as well as the analyzing of chemical & physical test. On other hand the Satellite image of castle has been analyzed by using photogrammetric & GIS techniques. The result calculated the reflected energy values. 

scholarly journals Application of SFM and laser scanning technology to the description of mosaics piece by piece

2014 ◽  
Vol XL-5 ◽  
pp. 23-28 ◽  
Author(s):  
O. Ajioka ◽  
Y. Hori
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Ccd Camera ◽  
3D Models ◽  
Point Cloud Data ◽  
Wall Paintings ◽  
Cloud Data ◽  
Laser Scanners ◽  
Dense Point

Mosaic floors of surviving buildings in Ostia have been mainly recorded in photographs. From 2008, Japanese research group carries out a project of 3d measuring of the whole structure of ancient Roman city Ostia using laser scanners, including its landscape, city blocks, streets, buildings, wall paintings and mosaics. The laser scanner allows for a more detailed analysis and a greater potential for recording mosaics. We can record the data of mosaics, which are described piece by piece. However it is hard to acquire enough high dense point cloud and the internal camera of the laser scanner produce low quality images. We introduce a possible technology of 3D recording of mosaics with high-quality colour information; SFM. The use of this technique permits us to create 3D models from images provided from a CCD camera without heavy and large laser scanners. We applied SFM system to different three types of the mosaics laid down on the floors of "the House of the Dioscuroi", "the Insula of the Muse" and "the House of Jove and Ganymede", and created high resolution orthographic images. Then we examined to compare these orthographic images with that are created from the point cloud data. As a result, we confirmed that SFM system has sufficient practical utility for the mosaic research. And we present how much of density of point cloud or ground resolution are required for the documentation of mosaics accurately.

scholarly journals Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

2021 ◽  
Vol 11 (22) ◽  
pp. 10701
Author(s):  
Rhushalshafira Rosle ◽  
Nik Norasma Che’Ya ◽  
Yuhao Ang ◽  
Fariq Rahmat ◽  
Aimrun Wayayok ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Weed Management ◽  
Agricultural Development ◽  
Automated Detection ◽  
Rice Fields ◽  
Weed Detection ◽  
Remote Sensing Technique ◽  
Sensing Platforms ◽  
Remote Sensing Techniques ◽  
The Ideal

This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed. The ideal stage for controlling weeds in rice fields was highlighted, and the types of weeds usually found in paddy fields were listed. This paper will discuss weed detection using remote sensing techniques, and algorithms commonly used to differentiate them from crops are deliberated. However, weed detection in rice fields using remote sensing platforms is still in its early stages; weed detection in other crops is also discussed. Results show that machine learning (ML) and deep learning (DL) remote sensing techniques have successfully produced a high accuracy map for detecting weeds in crops using RS platforms. Therefore, this technology positively impacts weed management in many aspects, especially in terms of the economic perspective. The implementation of this technology into agricultural development could be extended further.

scholarly journals ESTIMATES OF CHANGES IN THE RELIEF OF THE COASTAL ZONE DURING ABRASION USING REMOTE SENSING DATA: METHODOLOGICAL APPROACHES AND PRELIMINARY RESULTS

2020 ◽  
Vol 2 (5) ◽  
pp. 124-130
Author(s):  
A.S. Travnikova ◽  
◽  
S.A. Misirov ◽  
S.V. Berdnikov ◽  
L.M. Mestetskiy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Experimental Studies ◽  
Three Dimensional ◽  
Remote Sensing Data ◽  
Point Clouds ◽  
Test Site ◽  
3D Models ◽  
Reference Points ◽  
Instrumental Method ◽  
Dense Point

The article offers a method for assessing changes in the relief of the Azov sea coastline and the localization of areas of erosion using discrete surface models obtained from remote sensing of the Earth using unmanned aerial vehicles (UAVs). This problem arises because of the need to monitor the dynamics of the coastline: due to the activation of various natural and man-made processes, there is an intensive destruction of the shores of the seas of Russia. Existing modern methods of land topographic survey do not allow you to quickly get information about changes in the state of the coastline or are expensive, and the large extent of the zone subject to erosion makes the traditional instrumental approach of measuring at reference points very labor-intensive. Also, the data obtained by the instrumental method reflects the problem point-by-point, rather than along the entire coastline. In this paper, we developed an algorithm and software for building a three-dimensional terrain model (using Delaunay triangulation) based on the so-called “dense point cloud” obtained when shooting terrain from an unmanned aerial vehicle (UAV). we proposed and programmatically implemented an algorithm for comparing (subtracting) two 3D models based on surveys performed by the same camera, but at different times of the day, in different seasons, and at different heights with an interval of 2 years, to identify significant changes in terrain in the area of the coastal slope, caused by abrasive and collapse processes. Experimental studies of the developed approach were conducted at the test site (500 by 300 m in size) on the southern shore of the Taganrog Bay. As a result of the considered experimental studies of comparing two 3D terrain models based on dense point clouds, additional working hypotheses (steps) that need to be solved were formulated to identify significant differences due to the destruction of the coast

scholarly journals FROM TLS POINT CLOUDS TO 3D MODELS OF TREES: A COMPARISON OF EXISTING ALGORITHMS FOR 3D TREE RECONSTRUCTION

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 113-120 ◽  
Author(s):  
E. Bournez ◽  
T. Landes ◽  
M. Saudreau ◽  
P. Kastendeuch ◽  
G. Najjar
Keyword(s):  
3D Structure ◽  
Laser Scanner ◽  
Field Measurements ◽  
Reconstruction Algorithm ◽  
Point Clouds ◽  
3D Models ◽  
Urban Trees ◽  
Tree Reconstruction ◽  
Reference Tree ◽  
Dense Point

3D models of tree geometry are important for numerous studies, such as for urban planning or agricultural studies. In climatology, tree models can be necessary for simulating the cooling effect of trees by estimating their evapotranspiration. The literature shows that the more accurate the 3D structure of a tree is, the more accurate microclimate models are. This is the reason why, since 2013, we have been developing an algorithm for the reconstruction of trees from terrestrial laser scanner (TLS) data, which we call TreeArchitecture. Meanwhile, new promising algorithms dedicated to tree reconstruction have emerged in the literature. In this paper, we assess the capacity of our algorithm and of two others -PlantScan3D and SimpleTree- to reconstruct the 3D structure of trees. The aim of this reconstruction is to be able to characterize the geometric complexity of trees, with different heights, sizes and shapes of branches. Based on a specific surveying workflow with a TLS, we have acquired dense point clouds of six different urban trees, with specific architectures, before reconstructing them with each algorithm. Finally, qualitative and quantitative assessments of the models are performed using reference tree reconstructions and field measurements. Based on this assessment, the advantages and the limits of every reconstruction algorithm are highlighted. Anyway, very satisfying results can be reached for 3D reconstructions of tree topology as well as of tree volume.

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